Merge branch 'wang_weigen_master' of https://git.trustie.net/xuos/xiuos into develop

This commit is contained in:
Wang_Weigen 2021-09-02 10:02:16 +08:00
commit 2fcb4ad3ad
69 changed files with 6303 additions and 382 deletions

1
.gitignore vendored
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@ -1,2 +1,3 @@
*.vscode
*.o
.DS_Store

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@ -1,4 +1,7 @@
menu "knowing app"
source "$APP_DIR/Applications/knowing_app/mnist/Kconfig"
source "$APP_DIR/Applications/knowing_app/face_detect/Kconfig"
source "$APP_DIR/Applications/knowing_app/instrusion_detect/Kconfig"
source "$APP_DIR/Applications/knowing_app/helmet_detect/Kconfig"
source "$APP_DIR/Applications/knowing_app/iris_ml_demo/Kconfig"
endmenu

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@ -4,4 +4,5 @@ config FACE_DETECT
depends on DRV_USING_OV2640
depends on USING_KPU_POSTPROCESSING
depends on USING_YOLOV2
select LIB_USING_CJSON
default n

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@ -0,0 +1,35 @@
# Face detection demo
### A face object detection task demo. Running MobileNet-yolo on K210-based edge devices.
---
## Training
kmodel from [GitHub](https://github.com/kendryte/kendryte-standalone-demo/blob/develop/face_detect/detect.kmodel).
## Deployment
### compile and burn
Use `(scons --)menuconfig` in bsp folder *(Ubiquitous/RT_Thread/bsp/k210)*, open:
- More Drivers --> ov2640 driver
- Board Drivers Config --> Enable LCD on SPI0
- Board Drivers Config --> Enable SDCARD (spi1(ss0))
- Board Drivers Config --> Enable DVP(camera)
- RT-Thread Components --> POSIX layer and C standard library --> Enable pthreads APIs
- APP_Framework --> Framework --> support knowing framework --> kpu model postprocessing --> yolov2 region layer
- APP_Framework --> Applications --> knowing app --> enable apps/face detect
`scons -j(n)` to compile and burn in by *kflash*.
### json config and kmodel
Copy json config for deployment o SD card */kmodel*. Example config file is *detect.json* in this directory. Copy final kmodel to SD card */kmodel* either.
---
## Run
In serial terminal, `face_detect` to start a detection thread, `face_detect_delete` to stop it. Detection results can be found in output.

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@ -0,0 +1,36 @@
{
"net_input_size": [
240,
320
],
"net_output_shape": [
20,
15,
30
],
"sensor_output_size": [
240,
320
],
"anchors": [
1.889,
2.5245,
2.9465,
3.94056,
3.99987,
5.3658,
5.155437,
6.92275,
6.718375,
9.01025
],
"kmodel_path": "/kmodel/detect.kmodel",
"kmodel_size": 388776,
"obj_thresh": [
0.7
],
"labels": [
"face"
],
"nms_thresh": 0.3
}

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@ -1,118 +1,245 @@
#include <transform.h>
#include"region_layer.h"
#define SHOW_RGB_BUF_SIZE (320*240*2)
#define AI_KPU_RGB_BUF_SIZE (320*240*3)
#define KMODEL_SIZE (388776) //face model size
#ifdef LIB_USING_CJSON
#include <cJSON.h>
#endif
#include "region_layer.h"
#define ANCHOR_NUM 5
#define KPUIMAGEWIDTH (320)
#define KPUIMAGEHEIGHT (240)
#define STACK_SIZE (128 * 1024)
#define JSON_FILE_PATH "/kmodel/detect.json"
#define JSON_BUFFER_SIZE (4 * 1024)
// params from json
static float anchor[ANCHOR_NUM * 2] = {};
static int net_output_shape[3] = {};
static int net_input_size[2] = {};
static int sensor_output_size[2] = {};
static char kmodel_path[127] = "";
static int kmodel_size = 0;
static float obj_thresh[20] = {};
static float nms_thresh = 0.0;
static char labels[20][32] = {};
static int class_num = 0;
static float anchor[ANCHOR_NUM * 2] = {1.889,2.5245, 2.9465,3.94056, 3.99987,5.3658, 5.155437,6.92275, 6.718375,9.01025};
#define THREAD_PRIORITY_FACE_D (11)
static pthread_t facetid = 0;
static void* thread_face_detcet_entry(void *parameter);
#define THREAD_PRIORITY_FACE_D (11)
static pthread_t facetid = 0;
static void *thread_face_detcet_entry(void *parameter);
static int g_fd = 0;
static int kmodel_fd = 0;
static int if_exit = 0;
static unsigned char * showbuffer = NULL ;
static unsigned char * kpurgbbuffer = NULL ;
static int if_exit = 0;
static unsigned char *showbuffer = NULL;
static unsigned char *kpurgbbuffer = NULL;
static _ioctl_shoot_para shoot_para_t = {0};
unsigned char * model_data = NULL; //kpu data load memory
unsigned char *model_data_align = NULL;
unsigned char *model_data = NULL; // kpu data load memory
unsigned char *model_data_align = NULL;
kpu_model_context_t face_detect_task;
static region_layer_t face_detect_rl;
static obj_info_t face_detect_info;
volatile uint32_t g_ai_done_flag;
static void ai_done(void *ctx)
static void ai_done(void *ctx) { g_ai_done_flag = 1; }
static void param_parse()
{
g_ai_done_flag = 1;
int fin;
char buffer[JSON_BUFFER_SIZE] = "";
// char *buffer;
// if (NULL != (buffer = (char*)malloc(JSON_BUFFER_SIZE * sizeof(char)))) {
// memset(buffer, 0, JSON_BUFFER_SIZE * sizeof(char));
// } else {
// printf("Json buffer malloc failed!");
// exit(-1);
// }
int array_size;
cJSON *json_obj;
cJSON *json_item;
cJSON *json_array_item;
fin = open(JSON_FILE_PATH, O_RDONLY);
if (!fin) {
printf("Error open file %s", JSON_FILE_PATH);
exit(-1);
}
read(fin, buffer, sizeof(buffer));
close(fin);
// read json string
json_obj = cJSON_Parse(buffer);
// free(buffer);
char *json_print_str = cJSON_Print(json_obj);
printf("Json file content: \n%s\n", json_print_str);
cJSON_free(json_print_str);
// get anchors
json_item = cJSON_GetObjectItem(json_obj, "anchors");
array_size = cJSON_GetArraySize(json_item);
if (ANCHOR_NUM * 2 != array_size) {
printf("Expect anchor size: %d, got %d in json file", ANCHOR_NUM * 2, array_size);
exit(-1);
} else {
printf("Got %d anchors from json file\n", ANCHOR_NUM);
}
for (int i = 0; i < ANCHOR_NUM * 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
anchor[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, anchor[i]);
}
// net_input_size
json_item = cJSON_GetObjectItem(json_obj, "net_input_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect net_input_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d net_input_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_input_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_input_size[i]);
}
// net_output_shape
json_item = cJSON_GetObjectItem(json_obj, "net_output_shape");
array_size = cJSON_GetArraySize(json_item);
if (3 != array_size) {
printf("Expect net_output_shape: %d, got %d in json file", 3, array_size);
exit(-1);
} else {
printf("Got %d net_output_shape from json file\n", 3);
}
for (int i = 0; i < 3; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_output_shape[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_output_shape[i]);
}
// sensor_output_size
json_item = cJSON_GetObjectItem(json_obj, "sensor_output_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect sensor_output_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d sensor_output_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
sensor_output_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, sensor_output_size[i]);
}
// kmodel_path
json_item = cJSON_GetObjectItem(json_obj, "kmodel_path");
memcpy(kmodel_path, json_item->valuestring, strlen(json_item->valuestring));
printf("Got kmodel_path: %s\n", kmodel_path);
// kmodel_size
json_item = cJSON_GetObjectItem(json_obj, "kmodel_size");
kmodel_size = json_item->valueint;
printf("Got kmodel_size: %d\n", kmodel_size);
// labels
json_item = cJSON_GetObjectItem(json_obj, "labels");
class_num = cJSON_GetArraySize(json_item);
if (0 >= class_num) {
printf("No labels!");
exit(-1);
} else {
printf("Got %d labels\n", class_num);
}
for (int i = 0; i < class_num; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
memcpy(labels[i], json_array_item->valuestring, strlen(json_array_item->valuestring));
printf("%d: %s\n", i, labels[i]);
}
// obj_thresh
json_item = cJSON_GetObjectItem(json_obj, "obj_thresh");
array_size = cJSON_GetArraySize(json_item);
if (class_num != array_size) {
printf("label number and thresh number mismatch! label number : %d, obj thresh number %d", class_num, array_size);
exit(-1);
} else {
printf("Got %d obj_thresh\n", array_size);
}
for (int i = 0; i < array_size; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
obj_thresh[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, obj_thresh[i]);
}
// nms_thresh
json_item = cJSON_GetObjectItem(json_obj, "nms_thresh");
nms_thresh = json_item->valuedouble;
printf("Got nms_thresh: %f\n", nms_thresh);
cJSON_Delete(json_obj);
return;
}
void face_detect()
{
int ret = 0;
int result = 0;
int size = 0;
g_fd = open("/dev/ov2640",O_RDONLY);
if(g_fd < 0)
{
param_parse();
g_fd = open("/dev/ov2640", O_RDONLY);
if (g_fd < 0) {
printf("open ov2640 fail !!");
return;
}
showbuffer = (unsigned char*)malloc(SHOW_RGB_BUF_SIZE);
if(NULL ==showbuffer)
{
_ioctl_set_dvp_reso set_dvp_reso = {sensor_output_size[1], sensor_output_size[0]};
ioctl(g_fd, IOCTRL_CAMERA_SET_DVP_RESO, &set_dvp_reso);
showbuffer = (unsigned char *)malloc(sensor_output_size[0] * sensor_output_size[1] * 2);
if (NULL == showbuffer) {
close(g_fd);
printf("showbuffer apply memory fail !!");
return ;
return;
}
kpurgbbuffer = (unsigned char*)malloc(AI_KPU_RGB_BUF_SIZE);
if(NULL ==kpurgbbuffer)
{
kpurgbbuffer = (unsigned char *)malloc(net_input_size[0] * net_input_size[1] * 3);
if (NULL == kpurgbbuffer) {
close(g_fd);
free(showbuffer);
printf("kpurgbbuffer apply memory fail !!");
return ;
return;
}
model_data = (unsigned char *)malloc(KMODEL_SIZE + 255);
if(NULL ==model_data)
{
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
free(showbuffer);
free(kpurgbbuffer);
close(g_fd);
printf("model_data apply memory fail !!");
return ;
return;
}
memset(model_data,0,KMODEL_SIZE + 255);
memset(showbuffer,0,SHOW_RGB_BUF_SIZE);
memset(kpurgbbuffer,0,AI_KPU_RGB_BUF_SIZE);
memset(model_data, 0, kmodel_size + 255);
memset(showbuffer, 0, sensor_output_size[0] * sensor_output_size[1] * 2);
memset(kpurgbbuffer, 0, net_input_size[0] * net_input_size[1] * 3);
shoot_para_t.pdata = (unsigned int *)(showbuffer);
shoot_para_t.length = SHOW_RGB_BUF_SIZE;
shoot_para_t.length = (size_t)(sensor_output_size[0] * sensor_output_size[1] * 2);
/*
load memory
load memory
*/
kmodel_fd = open("/kmodel/detect.kmodel",O_RDONLY);
if(kmodel_fd <0)
{
printf("open kmodel fail");
close(g_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
}
else
{
size = read(kmodel_fd, model_data, KMODEL_SIZE);
if(size != KMODEL_SIZE)
{
printf("read kmodel error size %d\n",size);
kmodel_fd = open(kmodel_path, O_RDONLY);
if (kmodel_fd < 0) {
printf("open kmodel fail");
close(g_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
}
else
{
printf("read kmodel success \n");
}
} else {
printf("read kmodel success \n");
}
}
unsigned char *model_data_align = (unsigned char *)(((unsigned int)model_data+255)&(~255));
dvp_set_ai_addr((uint32_t)kpurgbbuffer, (uint32_t)(kpurgbbuffer + 320 * 240), (uint32_t)(kpurgbbuffer + 320 * 240 * 2));
if (kpu_load_kmodel(&face_detect_task, model_data_align) != 0)
{
unsigned char *model_data_align = (unsigned char *)(((unsigned int)model_data + 255) & (~255));
dvp_set_ai_addr((uint32_t)kpurgbbuffer, (uint32_t)(kpurgbbuffer + net_input_size[0] * net_input_size[1]),
(uint32_t)(kpurgbbuffer + net_input_size[0] * net_input_size[1] * 2));
if (kpu_load_kmodel(&face_detect_task, model_data_align) != 0) {
printf("\nmodel init error\n");
close(g_fd);
close(kmodel_fd);
@ -123,131 +250,124 @@ void face_detect()
}
face_detect_rl.anchor_number = ANCHOR_NUM;
face_detect_rl.anchor = anchor;
face_detect_rl.threshold = 0.7;
face_detect_rl.nms_value = 0.3;
result = region_layer_init(&face_detect_rl, 20, 15, 30, KPUIMAGEWIDTH, KPUIMAGEHEIGHT);
printf("region_layer_init result %d \n\r",result);
size_t stack_size = 32*1024;
pthread_attr_t attr; /* 线程属性 */
struct sched_param prio; /* 线程优先级 */
prio.sched_priority = 8; /* 优先级设置为 8 */
pthread_attr_init(&attr); /* 先使用默认值初始化属性 */
pthread_attr_setschedparam(&attr,&prio); /* 修改属性对应的优先级 */
face_detect_rl.threshold = malloc(class_num * sizeof(float));
for (int idx = 0; idx < class_num; idx++) {
face_detect_rl.threshold[idx] = obj_thresh[idx];
}
face_detect_rl.nms_value = nms_thresh;
result = region_layer_init(&face_detect_rl, net_output_shape[0], net_output_shape[1], net_output_shape[2],
net_input_size[1], net_input_size[0]);
printf("region_layer_init result %d \n\r", result);
size_t stack_size = STACK_SIZE;
pthread_attr_t attr; /* 线程属性 */
struct sched_param prio; /* 线程优先级 */
prio.sched_priority = 8; /* 优先级设置为 8 */
pthread_attr_init(&attr); /* 先使用默认值初始化属性 */
pthread_attr_setschedparam(&attr, &prio); /* 修改属性对应的优先级 */
pthread_attr_setstacksize(&attr, stack_size);
/* 创建线程 1, 属性为 attr入口函数是 thread_entry入口函数参数是 1 */
result = pthread_create(&facetid,&attr,thread_face_detcet_entry,NULL);
if (0 == result)
{
result = pthread_create(&facetid, &attr, thread_face_detcet_entry, NULL);
if (0 == result) {
printf("thread_face_detcet_entry successfully!\n");
}
else
{
printf("thread_face_detcet_entry failed! error code is %d\n",result);
} else {
printf("thread_face_detcet_entry failed! error code is %d\n", result);
close(g_fd);
}
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(face_detect,face detect task);
MSH_CMD_EXPORT(face_detect, face detect task);
#endif
static void* thread_face_detcet_entry(void *parameter)
{
extern void lcd_draw_picture(uint16_t x1, uint16_t y1, uint16_t width, uint16_t height, uint32_t *ptr);
static void *thread_face_detcet_entry(void *parameter)
{
extern void lcd_draw_picture(uint16_t x1, uint16_t y1, uint16_t width, uint16_t height, uint32_t * ptr);
printf("thread_face_detcet_entry start!\n");
int ret = 0;
//sysctl_enable_irq();
while(1)
{
//memset(showbuffer,0,320*240*2);
// sysctl_enable_irq();
while (1) {
// memset(showbuffer,0,320*240*2);
g_ai_done_flag = 0;
ret = ioctl(g_fd,IOCTRL_CAMERA_START_SHOT,&shoot_para_t);
if(RT_ERROR == ret)
{
ret = ioctl(g_fd, IOCTRL_CAMERA_START_SHOT, &shoot_para_t);
if (RT_ERROR == ret) {
printf("ov2640 can't wait event flag");
rt_free(showbuffer);
close(g_fd);
pthread_exit(NULL);
pthread_exit(NULL);
return NULL;
}
kpu_run_kmodel(&face_detect_task, kpurgbbuffer, DMAC_CHANNEL5, ai_done, NULL);
while(!g_ai_done_flag);
while (!g_ai_done_flag)
;
float *output;
size_t output_size;
kpu_get_output(&face_detect_task, 0, (uint8_t **)&output, &output_size);
face_detect_rl.input = output;
face_detect_rl.input = output;
region_layer_run(&face_detect_rl, &face_detect_info);
/* display result */
#ifdef BSP_USING_LCD
for (int face_cnt = 0; face_cnt < face_detect_info.obj_number; face_cnt++)
{
draw_edge((uint32_t *)showbuffer, &face_detect_info, face_cnt, 0xF800);
/* display result */
#ifdef BSP_USING_LCD
for (int face_cnt = 0; face_cnt < face_detect_info.obj_number; face_cnt++) {
draw_edge((uint32_t *)showbuffer, &face_detect_info, face_cnt, 0xF800, (uint16_t)sensor_output_size[1],
(uint16_t)sensor_output_size[0]);
printf("%d: (%d, %d, %d, %d) cls: %s conf: %f\t", face_cnt, face_detect_info.obj[face_cnt].x1,
face_detect_info.obj[face_cnt].y1, face_detect_info.obj[face_cnt].x2, face_detect_info.obj[face_cnt].y2,
labels[face_detect_info.obj[face_cnt].class_id], face_detect_info.obj[face_cnt].prob);
}
if (0 != face_detect_info.obj_number) printf("\n");
lcd_draw_picture(0, 0, (uint16_t)sensor_output_size[1], (uint16_t)sensor_output_size[0], (unsigned int *)showbuffer);
#endif
usleep(1);
if (1 == if_exit) {
if_exit = 0;
printf("thread_face_detcet_entry exit");
pthread_exit(NULL);
}
lcd_draw_picture(0, 0, 320, 240, (unsigned int*)showbuffer);
#endif
usleep(1);
if(1 == if_exit)
{
if_exit = 0;
printf("thread_face_detcet_entry exit");
pthread_exit(NULL);
}
}
}
void face_detect_delete()
{
if(showbuffer != NULL)
{
if (showbuffer != NULL) {
int ret = 0;
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
printf("face detect task cancel!!! ret %d ",ret);
printf("face detect task cancel!!! ret %d ", ret);
if_exit = 1;
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(face_detect_delete,face detect task delete);
MSH_CMD_EXPORT(face_detect_delete, face detect task delete);
#endif
void kmodel_load(unsigned char * model_data)
void kmodel_load(unsigned char *model_data)
{
int kmodel_fd = 0;
int size = 0;
kmodel_fd = open("/kmodel/detect.kmodel",O_RDONLY);
model_data = (unsigned char *)malloc(KMODEL_SIZE + 255);
if(NULL ==model_data)
{
kmodel_fd = open(kmodel_path, O_RDONLY);
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
printf("model_data apply memory fail !!");
return ;
return;
}
memset(model_data,0,KMODEL_SIZE + 255);
if (kmodel_fd>= 0)
{
size = read(kmodel_fd, model_data, KMODEL_SIZE);
if(size != KMODEL_SIZE)
{
printf("read kmodel error size %d\n",size);
}
else
{
printf("read kmodel success");
}
}
else
{
memset(model_data, 0, kmodel_size + 255);
if (kmodel_fd >= 0) {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
} else {
printf("read kmodel success");
}
} else {
free(model_data);
printf("open kmodel fail");
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(kmodel_load,kmodel load memory);
MSH_CMD_EXPORT(kmodel_load, kmodel load memory);
#endif

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@ -0,0 +1,8 @@
config HELMET_DETECT
bool "enable apps/helmet detect"
depends on BOARD_K210_EVB
depends on DRV_USING_OV2640
depends on USING_KPU_POSTPROCESSING
depends on USING_YOLOV2
select LIB_USING_CJSON
default n

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@ -0,0 +1,167 @@
# Helmet detection demo
### A helmet and head without helmet object detection task demo. Running MobileNet-yolo on K210-based edge devices.
---
## Training
### Enviroment preparation
Model generated by [aXeleRate](https://forgeplus.trustie.net/projects/yangtuo250/aXeleRate) and converted to kmodel by [nncase](https://github.com/kendryte/nncase/tree/v0.1.0-rc5).
```shell
# master branch for MobileNetv1-yolov2 and unstable branch to test MobileNetv1(v2)-yolov2(v3)
git clone https://git.trustie.net/yangtuo250/aXeleRate.git (-b unstable)
cd aXeleRate
pip install -r requirments.txt && pip install -e .
```
### training config setting
Example [config](https://forgeplus.trustie.net/projects/yangtuo250/aXeleRate/tree/master/configs/detector.json), some hyper-parameters:
- architecture: backbone, MobileNet7_5 for default, MobileNet1_0(α = 1.0) and above cannot run on K210 because of OOM on feature map in master branch. For unstable branch MobileNetV2_1_0 is OK.
- input_size: fixed model input size, single integer for height equals to width, otherwise a list([height, width]).
- anchors: yolov2 anchor(for master) or anchor scaled to 1.0(for unstable), can be generate by [darknet](https://github.com/AlexeyAB/darknet).
- labels: labels of all classes.
- train(valid)_image(annot)_folder: path of images and annoations for training and validation.
- saved_folder: path for trainig result storage(models, checkpoints, logs ...).
Mine config for unstable:
```json
{
"model": {
"type": "Detector",
"architecture": "MobileNetV2_1_0",
"input_size": [
224,
320
],
"anchors": [
[
[
0.1043,
0.1560
],
[
0.0839,
0.3036
],
[
0.1109,
0.3923
],
[
0.1378,
0.5244
],
[
0.2049,
0.6673
]
]
],
"labels": [
"human"
],
"obj_thresh": 0.5,
"iou_thresh": 0.45,
"coord_scale": 1.0,
"class_scale": 0.0,
"object_scale": 5.0,
"no_object_scale": 3.0
},
"weights": {
"full": "",
"backend": ""
},
"train": {
"actual_epoch": 2000,
"train_image_folder": "mydata/human/Images/train",
"train_annot_folder": "mydata/human/Annotations/train",
"train_times": 2,
"valid_image_folder": "mydata/human/Images/val",
"valid_annot_folder": "mydata/human/Annotations/val",
"valid_times": 1,
"valid_metric": "precision",
"batch_size": 32,
"learning_rate": 2e-5,
"saved_folder": "mydata/human/results",
"first_trainable_layer": "",
"augmentation": true,
"is_only_detect": false,
"validation_freq": 5,
"quantize": false,
"class_weights": [1.0]
},
"converter": {
"type": [
"k210"
]
}
}
```
*(For more detailed config usage, please refer to original aXeleRate repo.)*
### data preparation
Please refer to [VOC format](https://towardsdatascience.com/coco-data-format-for-object-detection-a4c5eaf518c5), path as config above.
### train it!
```shell
python -m aXeleRate.train -c PATH_TO_YOUR_CONFIG
```
### model convert
Please refer to [nncase repo](https://github.com/kendryte/nncase/tree/v0.1.0-rc5).
---
## Deployment
### compile and burn
Use `(scons --)menuconfig` in bsp folder *(Ubiquitous/RT_Thread/bsp/k210)*, open:
- More Drivers --> ov2640 driver
- Board Drivers Config --> Enable LCD on SPI0
- Board Drivers Config --> Enable SDCARD (spi1(ss0))
- Board Drivers Config --> Enable DVP(camera)
- RT-Thread Components --> POSIX layer and C standard library --> Enable pthreads APIs
- APP_Framework --> Framework --> support knowing framework --> kpu model postprocessing --> yolov2 region layer
- APP_Framework --> Applications --> knowing app --> enable apps/helmet detect
`scons -j(n)` to compile and burn in by *kflash*.
### json config and kmodel
Copy json config for deployment o SD card */kmodel*. Example config file is *helmet.json* in this directory. Something to be modified:
- net_input_size: same as *input_size* in training config file, but array only.
- net_output_shape: final feature map size, can be found in **nncase** output.
- sensor_output_size: image height and width from camera.
- kmodel_size: kmodel size shown in file system.
- anchors: same as *anchor* in training config file(multi-dimention anchors flatten to 1 dim).
- labels: same as *label* in training config file.
- obj_thresh: array, object threshold of each label.
- nms_thresh: NMS threshold of boxes.
Copy final kmodel to SD card */kmodel* either.
---
## Run
In serial terminal, `helmet_detect` to start a detection thread, `helmet_detect_delete` to stop it. Detection results can be found in output.
---
## TODO
- [ ] Fix LCD real-time result display.
- [ ] Test more object detection backbone and algorithm(like yolox).

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from building import *
cwd = GetCurrentDir()
src = Glob('*.c') + Glob('*.cpp')
CPPPATH = [cwd]
group = DefineGroup('Applications', src, depend = ['HELMET_DETECT'], LOCAL_CPPPATH = CPPPATH)
Return('group')

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{
"net_input_size": [
256,
256
],
"net_output_shape": [
8,
8,
35
],
"sensor_output_size": [
256,
256
],
"anchors": [
0.1384,
0.276,
0.308,
0.504,
0.5792,
0.8952,
1.072,
1.6184,
2.1128,
3.184
],
"kmodel_path": "/kmodel/helmet.kmodel",
"kmodel_size": 2714044,
"obj_thresh": [
0.7,
0.9
],
"labels": [
"head",
"helmet"
],
"nms_thresh": 0.45
}

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#include <transform.h>
#ifdef LIB_USING_CJSON
#include <cJSON.h>
#endif
#include "region_layer.h"
#define ANCHOR_NUM 5
#define STACK_SIZE (128 * 1024)
#define JSON_FILE_PATH "/kmodel/helmet.json"
#define JSON_BUFFER_SIZE (4 * 1024)
// params from json
static float anchor[ANCHOR_NUM * 2] = {};
static int net_output_shape[3] = {};
static int net_input_size[2] = {};
static int sensor_output_size[2] = {};
static char kmodel_path[127] = "";
static int kmodel_size = 0;
static float obj_thresh[20] = {};
static float nms_thresh = 0.0;
static char labels[20][32] = {};
static int class_num = 0;
#define THREAD_PRIORITY_HELMET_D (11)
static pthread_t helmettid = 0;
static void *thread_helmet_detect_entry(void *parameter);
static int g_fd = 0;
static int kmodel_fd = 0;
static int if_exit = 0;
static unsigned char *showbuffer = NULL;
static unsigned char *kpurgbbuffer = NULL;
static _ioctl_shoot_para shoot_para_t = {0};
unsigned char *model_data = NULL; // kpu data load memory
unsigned char *model_data_align = NULL;
kpu_model_context_t helmet_detect_task;
static region_layer_t helmet_detect_rl;
static obj_info_t helmet_detect_info;
volatile uint32_t g_ai_done_flag;
static void ai_done(void *ctx) { g_ai_done_flag = 1; }
static void param_parse()
{
int fin;
char buffer[JSON_BUFFER_SIZE] = "";
// char *buffer;
// if (NULL != (buffer = (char*)malloc(JSON_BUFFER_SIZE * sizeof(char)))) {
// memset(buffer, 0, JSON_BUFFER_SIZE * sizeof(char));
// } else {
// printf("Json buffer malloc failed!");
// exit(-1);
// }
int array_size;
cJSON *json_obj;
cJSON *json_item;
cJSON *json_array_item;
fin = open(JSON_FILE_PATH, O_RDONLY);
if (!fin) {
printf("Error open file %s", JSON_FILE_PATH);
exit(-1);
}
read(fin, buffer, sizeof(buffer));
close(fin);
// read json string
json_obj = cJSON_Parse(buffer);
// free(buffer);
char *json_print_str = cJSON_Print(json_obj);
printf("Json file content: \n%s\n", json_print_str);
cJSON_free(json_print_str);
// get anchors
json_item = cJSON_GetObjectItem(json_obj, "anchors");
array_size = cJSON_GetArraySize(json_item);
if (ANCHOR_NUM * 2 != array_size) {
printf("Expect anchor size: %d, got %d in json file", ANCHOR_NUM * 2, array_size);
exit(-1);
} else {
printf("Got %d anchors from json file\n", ANCHOR_NUM);
}
for (int i = 0; i < ANCHOR_NUM * 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
anchor[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, anchor[i]);
}
// net_input_size
json_item = cJSON_GetObjectItem(json_obj, "net_input_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect net_input_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d net_input_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_input_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_input_size[i]);
}
// net_output_shape
json_item = cJSON_GetObjectItem(json_obj, "net_output_shape");
array_size = cJSON_GetArraySize(json_item);
if (3 != array_size) {
printf("Expect net_output_shape: %d, got %d in json file", 3, array_size);
exit(-1);
} else {
printf("Got %d net_output_shape from json file\n", 3);
}
for (int i = 0; i < 3; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_output_shape[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_output_shape[i]);
}
// sensor_output_size
json_item = cJSON_GetObjectItem(json_obj, "sensor_output_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect sensor_output_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d sensor_output_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
sensor_output_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, sensor_output_size[i]);
}
// kmodel_path
json_item = cJSON_GetObjectItem(json_obj, "kmodel_path");
memcpy(kmodel_path, json_item->valuestring, strlen(json_item->valuestring));
printf("Got kmodel_path: %s\n", kmodel_path);
// kmodel_size
json_item = cJSON_GetObjectItem(json_obj, "kmodel_size");
kmodel_size = json_item->valueint;
printf("Got kmodel_size: %d\n", kmodel_size);
// labels
json_item = cJSON_GetObjectItem(json_obj, "labels");
class_num = cJSON_GetArraySize(json_item);
if (0 >= class_num) {
printf("No labels!");
exit(-1);
} else {
printf("Got %d labels\n", class_num);
}
for (int i = 0; i < class_num; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
memcpy(labels[i], json_array_item->valuestring, strlen(json_array_item->valuestring));
printf("%d: %s\n", i, labels[i]);
}
// obj_thresh
json_item = cJSON_GetObjectItem(json_obj, "obj_thresh");
array_size = cJSON_GetArraySize(json_item);
if (class_num != array_size) {
printf("label number and thresh number mismatch! label number : %d, obj thresh number %d", class_num, array_size);
exit(-1);
} else {
printf("Got %d obj_thresh\n", array_size);
}
for (int i = 0; i < array_size; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
obj_thresh[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, obj_thresh[i]);
}
// nms_thresh
json_item = cJSON_GetObjectItem(json_obj, "nms_thresh");
nms_thresh = json_item->valuedouble;
printf("Got nms_thresh: %f\n", nms_thresh);
cJSON_Delete(json_obj);
return;
}
void helmet_detect()
{
int ret = 0;
int result = 0;
int size = 0;
param_parse();
g_fd = open("/dev/ov2640", O_RDONLY);
if (g_fd < 0) {
printf("open ov2640 fail !!");
return;
}
_ioctl_set_dvp_reso set_dvp_reso = {sensor_output_size[1], sensor_output_size[0]};
ioctl(g_fd, IOCTRL_CAMERA_SET_DVP_RESO, &set_dvp_reso);
showbuffer = (unsigned char *)malloc(sensor_output_size[0] * sensor_output_size[1] * 2);
if (NULL == showbuffer) {
close(g_fd);
printf("showbuffer apply memory fail !!");
return;
}
kpurgbbuffer = (unsigned char *)malloc(net_input_size[0] * net_input_size[1] * 3);
if (NULL == kpurgbbuffer) {
close(g_fd);
free(showbuffer);
printf("kpurgbbuffer apply memory fail !!");
return;
}
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
free(showbuffer);
free(kpurgbbuffer);
close(g_fd);
printf("model_data apply memory fail !!");
return;
}
memset(model_data, 0, kmodel_size + 255);
memset(showbuffer, 0, sensor_output_size[0] * sensor_output_size[1] * 2);
memset(kpurgbbuffer, 127, net_input_size[0] * net_input_size[1] * 3);
shoot_para_t.pdata = (unsigned int *)(showbuffer);
shoot_para_t.length = (size_t)(sensor_output_size[0] * sensor_output_size[1] * 2);
/*
load memory
*/
kmodel_fd = open(kmodel_path, O_RDONLY);
if (kmodel_fd < 0) {
printf("open kmodel fail");
close(g_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
printf("read kmodel success \n");
}
}
unsigned char *model_data_align = (unsigned char *)(((unsigned int)model_data + 255) & (~255));
dvp_set_ai_addr((uint32_t)(kpurgbbuffer + net_input_size[1] * (net_input_size[0] - sensor_output_size[0])),
(uint32_t)(kpurgbbuffer + net_input_size[1] * (net_input_size[0] - sensor_output_size[0]) +
net_input_size[0] * net_input_size[1]),
(uint32_t)(kpurgbbuffer + net_input_size[0] * net_input_size[1] * 2 +
net_input_size[1] * (net_input_size[0] - sensor_output_size[0])));
if (kpu_load_kmodel(&helmet_detect_task, model_data_align) != 0) {
printf("\nmodel init error\n");
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
}
helmet_detect_rl.anchor_number = ANCHOR_NUM;
helmet_detect_rl.anchor = anchor;
helmet_detect_rl.threshold = malloc(class_num * sizeof(float));
for (int idx = 0; idx < class_num; idx++) {
helmet_detect_rl.threshold[idx] = obj_thresh[idx];
}
helmet_detect_rl.nms_value = nms_thresh;
result = region_layer_init(&helmet_detect_rl, net_output_shape[0], net_output_shape[1], net_output_shape[2],
net_input_size[1], net_input_size[0]);
printf("region_layer_init result %d \n\r", result);
size_t stack_size = STACK_SIZE;
pthread_attr_t attr; /* 线程属性 */
struct sched_param prio; /* 线程优先级 */
prio.sched_priority = 8; /* 优先级设置为 8 */
pthread_attr_init(&attr); /* 先使用默认值初始化属性 */
pthread_attr_setschedparam(&attr, &prio); /* 修改属性对应的优先级 */
pthread_attr_setstacksize(&attr, stack_size);
/* 创建线程 1, 属性为 attr入口函数是 thread_entry入口函数参数是 1 */
result = pthread_create(&helmettid, &attr, thread_helmet_detect_entry, NULL);
if (0 == result) {
printf("thread_helmet_detect_entry successfully!\n");
} else {
printf("thread_helmet_detect_entry failed! error code is %d\n", result);
close(g_fd);
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(helmet_detect, helmet detect task);
#endif
static void *thread_helmet_detect_entry(void *parameter)
{
extern void lcd_draw_picture(uint16_t x1, uint16_t y1, uint16_t width, uint16_t height, uint32_t * ptr);
printf("thread_helmet_detect_entry start!\n");
int ret = 0;
// sysctl_enable_irq();
while (1) {
// memset(showbuffer,0,320*240*2);
g_ai_done_flag = 0;
ret = ioctl(g_fd, IOCTRL_CAMERA_START_SHOT, &shoot_para_t);
if (RT_ERROR == ret) {
printf("ov2640 can't wait event flag");
rt_free(showbuffer);
close(g_fd);
pthread_exit(NULL);
return NULL;
}
kpu_run_kmodel(&helmet_detect_task, kpurgbbuffer, DMAC_CHANNEL5, ai_done, NULL);
while (!g_ai_done_flag)
;
float *output;
size_t output_size;
kpu_get_output(&helmet_detect_task, 0, (uint8_t **)&output, &output_size);
helmet_detect_rl.input = output;
region_layer_run(&helmet_detect_rl, &helmet_detect_info);
/* display result */
#ifdef BSP_USING_LCD
for (int helmet_cnt = 0; helmet_cnt < helmet_detect_info.obj_number; helmet_cnt++) {
// draw_edge((uint32_t *)showbuffer, &helmet_detect_info, helmet_cnt, 0xF800,
// (uint16_t)sensor_output_size[1],
// (uint16_t)sensor_output_size[0]);
printf("%d: (%d, %d, %d, %d) cls: %s conf: %f\t", helmet_cnt, helmet_detect_info.obj[helmet_cnt].x1,
helmet_detect_info.obj[helmet_cnt].y1, helmet_detect_info.obj[helmet_cnt].x2,
helmet_detect_info.obj[helmet_cnt].y2, labels[helmet_detect_info.obj[helmet_cnt].class_id],
helmet_detect_info.obj[helmet_cnt].prob);
}
if (0 != helmet_detect_info.obj_number) {
printf("\n");
}
lcd_draw_picture(0, 0, (uint16_t)sensor_output_size[1], (uint16_t)sensor_output_size[0], (unsigned int *)showbuffer);
#endif
usleep(1);
if (1 == if_exit) {
if_exit = 0;
printf("thread_helmet_detect_entry exit");
pthread_exit(NULL);
}
}
}
void helmet_detect_delete()
{
if (showbuffer != NULL) {
int ret = 0;
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
printf("helmet detect task cancel!!! ret %d ", ret);
if_exit = 1;
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(helmet_detect_delete, helmet detect task delete);
#endif
void kmodel_load(unsigned char *model_data)
{
int kmodel_fd = 0;
int size = 0;
kmodel_fd = open(kmodel_path, O_RDONLY);
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
printf("model_data apply memory fail !!");
return;
}
memset(model_data, 0, kmodel_size + 255);
if (kmodel_fd >= 0) {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
} else {
printf("read kmodel success");
}
} else {
free(model_data);
printf("open kmodel fail");
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(kmodel_load, kmodel load memory);
#endif

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config INSTRUSION_DETECT
bool "enable apps/instrusion detect"
depends on BOARD_K210_EVB
depends on DRV_USING_OV2640
depends on USING_KPU_POSTPROCESSING
depends on USING_YOLOV2
select LIB_USING_CJSON
default n

View File

@ -0,0 +1,5 @@
# Instrusion detect demo
### A human object detection task demo. Running MobileNet-yolo on K210-based edge devices.
***Training, deployment and running, please see helmet_detect***

View File

@ -0,0 +1,9 @@
from building import *
cwd = GetCurrentDir()
src = Glob('*.c') + Glob('*.cpp')
CPPPATH = [cwd]
group = DefineGroup('Applications', src, depend = ['INSTRUSION_DETECT'], LOCAL_CPPPATH = CPPPATH)
Return('group')

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@ -0,0 +1,36 @@
{
"net_input_size": [
224,
320
],
"net_output_shape": [
10,
7,
30
],
"sensor_output_size": [
240,
320
],
"anchors": [
1.043,
1.092,
0.839,
2.1252,
1.109,
2.7461,
1.378,
3.6708,
2.049,
4.6711
],
"kmodel_path": "/kmodel/human.kmodel",
"kmodel_size": 2713236,
"obj_thresh": [
0.55
],
"labels": [
"human"
],
"nms_thresh": 0.35
}

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#include <transform.h>
#ifdef LIB_USING_CJSON
#include <cJSON.h>
#endif
#include "region_layer.h"
#define ANCHOR_NUM 5
#define STACK_SIZE (128 * 1024)
#define JSON_FILE_PATH "/kmodel/human.json"
#define JSON_BUFFER_SIZE (4 * 1024)
// params from json
static float anchor[ANCHOR_NUM * 2] = {};
static int net_output_shape[3] = {};
static int net_input_size[2] = {};
static int sensor_output_size[2] = {};
static char kmodel_path[127] = "";
static int kmodel_size = 0;
static float obj_thresh[20] = {};
static float nms_thresh = 0.0;
static char labels[20][32] = {};
static int class_num = 0;
#define THREAD_PRIORITY_HUMAN_D (11)
static pthread_t instrusiontid = 0;
static void *thread_instrusion_detect_entry(void *parameter);
static int g_fd = 0;
static int kmodel_fd = 0;
static int if_exit = 0;
static unsigned char *showbuffer = NULL;
static unsigned char *kpurgbbuffer = NULL;
static _ioctl_shoot_para shoot_para_t = {0};
unsigned char *model_data = NULL; // kpu data load memory
unsigned char *model_data_align = NULL;
kpu_model_context_t instrusion_detect_task;
static region_layer_t instrusion_detect_rl;
static obj_info_t instrusion_detect_info;
volatile uint32_t g_ai_done_flag;
static void ai_done(void *ctx) { g_ai_done_flag = 1; }
static void param_parse()
{
int fin;
char buffer[JSON_BUFFER_SIZE] = "";
// char *buffer;
// if (NULL != (buffer = (char*)malloc(JSON_BUFFER_SIZE * sizeof(char)))) {
// memset(buffer, 0, JSON_BUFFER_SIZE * sizeof(char));
// } else {
// printf("Json buffer malloc failed!");
// exit(-1);
// }
int array_size;
cJSON *json_obj;
cJSON *json_item;
cJSON *json_array_item;
fin = open(JSON_FILE_PATH, O_RDONLY);
if (!fin) {
printf("Error open file %s", JSON_FILE_PATH);
exit(-1);
}
read(fin, buffer, sizeof(buffer));
close(fin);
// read json string
json_obj = cJSON_Parse(buffer);
// free(buffer);
char *json_print_str = cJSON_Print(json_obj);
printf("Json file content: \n%s\n", json_print_str);
cJSON_free(json_print_str);
// get anchors
json_item = cJSON_GetObjectItem(json_obj, "anchors");
array_size = cJSON_GetArraySize(json_item);
if (ANCHOR_NUM * 2 != array_size) {
printf("Expect anchor size: %d, got %d in json file", ANCHOR_NUM * 2, array_size);
exit(-1);
} else {
printf("Got %d anchors from json file\n", ANCHOR_NUM);
}
for (int i = 0; i < ANCHOR_NUM * 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
anchor[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, anchor[i]);
}
// net_input_size
json_item = cJSON_GetObjectItem(json_obj, "net_input_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect net_input_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d net_input_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_input_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_input_size[i]);
}
// net_output_shape
json_item = cJSON_GetObjectItem(json_obj, "net_output_shape");
array_size = cJSON_GetArraySize(json_item);
if (3 != array_size) {
printf("Expect net_output_shape: %d, got %d in json file", 3, array_size);
exit(-1);
} else {
printf("Got %d net_output_shape from json file\n", 3);
}
for (int i = 0; i < 3; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
net_output_shape[i] = json_array_item->valueint;
printf("%d: %d\n", i, net_output_shape[i]);
}
// sensor_output_size
json_item = cJSON_GetObjectItem(json_obj, "sensor_output_size");
array_size = cJSON_GetArraySize(json_item);
if (2 != array_size) {
printf("Expect sensor_output_size: %d, got %d in json file", 2, array_size);
exit(-1);
} else {
printf("Got %d sensor_output_size from json file\n", 2);
}
for (int i = 0; i < 2; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
sensor_output_size[i] = json_array_item->valueint;
printf("%d: %d\n", i, sensor_output_size[i]);
}
// kmodel_path
json_item = cJSON_GetObjectItem(json_obj, "kmodel_path");
memcpy(kmodel_path, json_item->valuestring, strlen(json_item->valuestring));
printf("Got kmodel_path: %s\n", kmodel_path);
// kmodel_size
json_item = cJSON_GetObjectItem(json_obj, "kmodel_size");
kmodel_size = json_item->valueint;
printf("Got kmodel_size: %d\n", kmodel_size);
// labels
json_item = cJSON_GetObjectItem(json_obj, "labels");
class_num = cJSON_GetArraySize(json_item);
if (0 >= class_num) {
printf("No labels!");
exit(-1);
} else {
printf("Got %d labels\n", class_num);
}
for (int i = 0; i < class_num; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
memcpy(labels[i], json_array_item->valuestring, strlen(json_array_item->valuestring));
printf("%d: %s\n", i, labels[i]);
}
// obj_thresh
json_item = cJSON_GetObjectItem(json_obj, "obj_thresh");
array_size = cJSON_GetArraySize(json_item);
if (class_num != array_size) {
printf("label number and thresh number mismatch! label number : %d, obj thresh number %d", class_num, array_size);
exit(-1);
} else {
printf("Got %d obj_thresh\n", array_size);
}
for (int i = 0; i < array_size; i++) {
json_array_item = cJSON_GetArrayItem(json_item, i);
obj_thresh[i] = json_array_item->valuedouble;
printf("%d: %f\n", i, obj_thresh[i]);
}
// nms_thresh
json_item = cJSON_GetObjectItem(json_obj, "nms_thresh");
nms_thresh = json_item->valuedouble;
printf("Got nms_thresh: %f\n", nms_thresh);
cJSON_Delete(json_obj);
return;
}
void instrusion_detect()
{
int ret = 0;
int result = 0;
int size = 0;
param_parse();
g_fd = open("/dev/ov2640", O_RDONLY);
if (g_fd < 0) {
printf("open ov2640 fail !!");
return;
}
_ioctl_set_dvp_reso set_dvp_reso = {sensor_output_size[1], sensor_output_size[0]};
ioctl(g_fd, IOCTRL_CAMERA_SET_DVP_RESO, &set_dvp_reso);
showbuffer = (unsigned char *)malloc(sensor_output_size[0] * sensor_output_size[1] * 2);
if (NULL == showbuffer) {
close(g_fd);
printf("showbuffer apply memory fail !!");
return;
}
kpurgbbuffer = (unsigned char *)malloc(net_input_size[0] * net_input_size[1] * 3);
if (NULL == kpurgbbuffer) {
close(g_fd);
free(showbuffer);
printf("kpurgbbuffer apply memory fail !!");
return;
}
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
free(showbuffer);
free(kpurgbbuffer);
close(g_fd);
printf("model_data apply memory fail !!");
return;
}
memset(model_data, 0, kmodel_size + 255);
memset(showbuffer, 0, sensor_output_size[0] * sensor_output_size[1] * 2);
memset(kpurgbbuffer, 127, net_input_size[0] * net_input_size[1] * 3);
shoot_para_t.pdata = (unsigned int *)(showbuffer);
shoot_para_t.length = (size_t)(sensor_output_size[0] * sensor_output_size[1] * 2);
/*
load memory
*/
kmodel_fd = open(kmodel_path, O_RDONLY);
if (kmodel_fd < 0) {
printf("open kmodel fail");
close(g_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
} else {
printf("read kmodel success \n");
}
}
unsigned char *model_data_align = (unsigned char *)(((unsigned int)model_data + 255) & (~255));
dvp_set_ai_addr((uint32_t)(kpurgbbuffer + net_input_size[1] * (net_input_size[0] - sensor_output_size[0])),
(uint32_t)(kpurgbbuffer + net_input_size[1] * (net_input_size[0] - sensor_output_size[0]) +
net_input_size[0] * net_input_size[1]),
(uint32_t)(kpurgbbuffer + net_input_size[0] * net_input_size[1] * 2 +
net_input_size[1] * (net_input_size[0] - sensor_output_size[0])));
if (kpu_load_kmodel(&instrusion_detect_task, model_data_align) != 0) {
printf("\nmodel init error\n");
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
return;
}
instrusion_detect_rl.anchor_number = ANCHOR_NUM;
instrusion_detect_rl.anchor = anchor;
instrusion_detect_rl.threshold = malloc(class_num * sizeof(float));
for (int idx = 0; idx < class_num; idx++) {
instrusion_detect_rl.threshold[idx] = obj_thresh[idx];
}
instrusion_detect_rl.nms_value = nms_thresh;
result = region_layer_init(&instrusion_detect_rl, net_output_shape[0], net_output_shape[1], net_output_shape[2],
net_input_size[1], net_input_size[0]);
printf("region_layer_init result %d \n\r", result);
size_t stack_size = STACK_SIZE;
pthread_attr_t attr; /* 线程属性 */
struct sched_param prio; /* 线程优先级 */
prio.sched_priority = 8; /* 优先级设置为 8 */
pthread_attr_init(&attr); /* 先使用默认值初始化属性 */
pthread_attr_setschedparam(&attr, &prio); /* 修改属性对应的优先级 */
pthread_attr_setstacksize(&attr, stack_size);
/* 创建线程 1, 属性为 attr入口函数是 thread_entry入口函数参数是 1 */
result = pthread_create(&instrusiontid, &attr, thread_instrusion_detect_entry, NULL);
if (0 == result) {
printf("thread_instrusion_detect_entry successfully!\n");
} else {
printf("thread_instrusion_detect_entry failed! error code is %d\n", result);
close(g_fd);
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(instrusion_detect, instrusion detect task);
#endif
static void *thread_instrusion_detect_entry(void *parameter)
{
extern void lcd_draw_picture(uint16_t x1, uint16_t y1, uint16_t width, uint16_t height, uint32_t * ptr);
printf("thread_instrusion_detect_entry start!\n");
int ret = 0;
// sysctl_enable_irq();
while (1) {
// memset(showbuffer,0,320*240*2);
g_ai_done_flag = 0;
ret = ioctl(g_fd, IOCTRL_CAMERA_START_SHOT, &shoot_para_t);
if (RT_ERROR == ret) {
printf("ov2640 can't wait event flag");
rt_free(showbuffer);
close(g_fd);
pthread_exit(NULL);
return NULL;
}
kpu_run_kmodel(&instrusion_detect_task, kpurgbbuffer, DMAC_CHANNEL5, ai_done, NULL);
while (!g_ai_done_flag)
;
float *output;
size_t output_size;
kpu_get_output(&instrusion_detect_task, 0, (uint8_t **)&output, &output_size);
instrusion_detect_rl.input = output;
region_layer_run(&instrusion_detect_rl, &instrusion_detect_info);
/* display result */
#ifdef BSP_USING_LCD
for (int instrusion_cnt = 0; instrusion_cnt < instrusion_detect_info.obj_number; instrusion_cnt++) {
// draw_edge((uint32_t *)showbuffer, &instrusion_detect_info, instrusion_cnt, 0xF800,
// (uint16_t)sensor_output_size[1],
// (uint16_t)sensor_output_size[0]);
printf("%d: (%d, %d, %d, %d) cls: %s conf: %f\t", instrusion_cnt, instrusion_detect_info.obj[instrusion_cnt].x1,
instrusion_detect_info.obj[instrusion_cnt].y1, instrusion_detect_info.obj[instrusion_cnt].x2,
instrusion_detect_info.obj[instrusion_cnt].y2, labels[instrusion_detect_info.obj[instrusion_cnt].class_id],
instrusion_detect_info.obj[instrusion_cnt].prob);
}
if (0 != instrusion_detect_info.obj_number) {
printf("\n");
}
lcd_draw_picture(0, 0, (uint16_t)sensor_output_size[1], (uint16_t)sensor_output_size[0], (unsigned int *)showbuffer);
#endif
usleep(1);
if (1 == if_exit) {
if_exit = 0;
printf("thread_instrusion_detect_entry exit");
pthread_exit(NULL);
}
}
}
void instrusion_detect_delete()
{
if (showbuffer != NULL) {
int ret = 0;
close(g_fd);
close(kmodel_fd);
free(showbuffer);
free(kpurgbbuffer);
free(model_data);
printf("instrusion detect task cancel!!! ret %d ", ret);
if_exit = 1;
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(instrusion_detect_delete, instrusion detect task delete);
#endif
void kmodel_load(unsigned char *model_data)
{
int kmodel_fd = 0;
int size = 0;
kmodel_fd = open(kmodel_path, O_RDONLY);
model_data = (unsigned char *)malloc(kmodel_size + 255);
if (NULL == model_data) {
printf("model_data apply memory fail !!");
return;
}
memset(model_data, 0, kmodel_size + 255);
if (kmodel_fd >= 0) {
size = read(kmodel_fd, model_data, kmodel_size);
if (size != kmodel_size) {
printf("read kmodel error size %d\n", size);
} else {
printf("read kmodel success");
}
} else {
free(model_data);
printf("open kmodel fail");
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(kmodel_load, kmodel load memory);
#endif

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@ -0,0 +1,57 @@
#include <stdarg.h>
/**
* Predict class for features vector
*/
int predict(float *x)
{
if (x[2] <= 2.449999988079071) {
return 0;
}
else {
if (x[3] <= 1.75) {
if (x[2] <= 4.950000047683716) {
if (x[3] <= 1.6500000357627869) {
return 1;
}
else {
return 2;
}
}
else {
if (x[3] <= 1.550000011920929) {
return 2;
}
else {
if (x[2] <= 5.450000047683716) {
return 1;
}
else {
return 2;
}
}
}
}
else {
if (x[2] <= 4.8500001430511475) {
if (x[1] <= 3.100000023841858) {
return 2;
}
else {
return 1;
}
}
else {
return 2;
}
}
}
}

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@ -0,0 +1,3 @@
config IRIS_ML_DEMO
bool "enable apps/iris ml demo"
default n

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@ -0,0 +1,41 @@
#include <stdarg.h>
/**
* Compute dot product
*/
float dot(float *x, ...)
{
va_list w;
va_start(w, 4);
float dot = 0.0;
for (int i = 0; i < 4; i++) {
const float wi = va_arg(w, double);
dot += x[i] * wi;
}
return dot;
}
/**
* Predict class for features vector
*/
int predict(float *x)
{
float votes[3] = {0.0f};
votes[0] = dot(x, -0.423405592418, 0.967388282125, -2.517050233286, -1.079182996654) + 9.84868307535428;
votes[1] = dot(x, 0.534517184386, -0.321908835083, -0.206465997471, -0.944448257908) + 2.238120068472271;
votes[2] = dot(x, -0.111111591968, -0.645479447042, 2.723516230758, 2.023631254562) + -12.086803143826813;
// return argmax of votes
int classIdx = 0;
float maxVotes = votes[0];
for (int i = 1; i < 3; i++) {
if (votes[i] > maxVotes) {
classIdx = i;
maxVotes = votes[i];
}
}
return classIdx;
}

View File

@ -0,0 +1,71 @@
# Machine learning demo using iris dataset
### Classification task demo, tested on stm32f4 and k210-based edge devices. Training on iris dataset by *Decision Tree classifier*, *Support Vector Machine classifier* and *Logistic Regression classifier*.
---
## Training
Model generated by [Sklearn](https://scikit-learn.org/stable/) and converted to C language by [micromlgen](https://forgeplus.trustie.net/projects/yangtuo250/micromlgen).
### Enviroment preparation
```shell
pip install scikit-learn
git clone https://git.trustie.net/yangtuo250/micromlgen.git -b C
cd micromlgen && pip install -e .
```
### Train it!
```python
# load iris dataset
from sklearn.datasets import load_iris
X, y = load_iris(return_X_y=True)
# train SVC classifier and convert
clf = SVC(kernel='linear', gamma=0.001).fit(X, y)
print(port(clf, cplusplus=False, platform=platforms.STM32F4))
# train logistic regression classifier and convert
clf = LogisticRegression(max_iter=1000).fit(X, y)
print(port(clf, cplusplus=False, platform=platforms.STM32F4))
# train decision tree classifier and convert
clf = DecisionTreeClassifier().fit(X, y)
print(port(clf, cplusplus=False, platform=platforms.STM32F4)
```
Copy each content generated by print to a single C language file.
---
## Deployment
### compile and burn
Use `(scons --)menuconfig` in *bsp folder(Ubiquitous/RT_Thread/bsp/k210(or stm32f407-atk-coreboard))*, open **APP_Framwork --> Applications --> knowing app --> enable apps/iris ml demo** to enable this app. `scons -j(n)` to compile and burn in by *st-flash(for ARM)* or *kflash(for k210)*.
### testing set
Copy *iris.csv* to SD card */csv/iris.csv*.
---
## Run
In serial terminal:
- `iris_SVC_predict` for SVC prediction
- `iris_DecisonTree_predict` for decision tree prediction
- `iris_LogisticRegression_predict` for logistic regression prediction
Example output:
```shell
data 1: 5.1000 3.5000 1.4000 0.2000 result: 0
data 2: 6.4000 3.2000 4.5000 1.5000 result: 1
data 3: 5.8000 2.7000 5.1000 1.9000 result: 2
data 4: 7.7000 3.8000 6.7000 2.2000 result: 2
data 5: 5.5000 2.6000 4.4000 1.2000 result: 1
data 6: 5.1000 3.8000 1.9000 0.4000 result: 0
data 7: 5.8000 2.7000 3.9000 1.2000 result: 1
```

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@ -0,0 +1,9 @@
from building import *
cwd = GetCurrentDir()
src = Glob('*.c') + Glob('*.cpp')
CPPPATH = [cwd]
group = DefineGroup('Applications', src, depend = ['IRIS_ML_DEMO'], LOCAL_CPPPATH = CPPPATH)
Return('group')

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@ -0,0 +1,78 @@
/**
* SVC model trained by iris dataset
*/
#include <stdarg.h>
/**
* Compute kernel between feature vector and support vector.
* Kernel type: linear
*/
float compute_kernel(float *x, ...)
{
va_list w;
va_start(w, 4);
float kernel = 0.0;
for (int i = 0; i < 4; i++) {
kernel += x[i] * va_arg(w, double);
}
return kernel;
}
/**
* Predict class for features vector
*/
int predict(float *x)
{
float kernels[27] = {0};
float decisions[3] = {0};
int votes[3] = {0};
kernels[0] = compute_kernel(x, 5.1, 3.3, 1.7, 0.5);
kernels[1] = compute_kernel(x, 4.8, 3.4, 1.9, 0.2);
kernels[2] = compute_kernel(x, 4.5, 2.3, 1.3, 0.3);
kernels[3] = compute_kernel(x, 6.9, 3.1, 4.9, 1.5);
kernels[4] = compute_kernel(x, 6.3, 3.3, 4.7, 1.6);
kernels[5] = compute_kernel(x, 6.1, 2.9, 4.7, 1.4);
kernels[6] = compute_kernel(x, 5.6, 3.0, 4.5, 1.5);
kernels[7] = compute_kernel(x, 6.2, 2.2, 4.5, 1.5);
kernels[8] = compute_kernel(x, 5.9, 3.2, 4.8, 1.8);
kernels[9] = compute_kernel(x, 6.3, 2.5, 4.9, 1.5);
kernels[10] = compute_kernel(x, 6.8, 2.8, 4.8, 1.4);
kernels[11] = compute_kernel(x, 6.7, 3.0, 5.0, 1.7);
kernels[12] = compute_kernel(x, 6.0, 2.7, 5.1, 1.6);
kernels[13] = compute_kernel(x, 5.4, 3.0, 4.5, 1.5);
kernels[14] = compute_kernel(x, 5.1, 2.5, 3.0, 1.1);
kernels[15] = compute_kernel(x, 4.9, 2.5, 4.5, 1.7);
kernels[16] = compute_kernel(x, 6.5, 3.2, 5.1, 2.0);
kernels[17] = compute_kernel(x, 6.0, 2.2, 5.0, 1.5);
kernels[18] = compute_kernel(x, 6.3, 2.7, 4.9, 1.8);
kernels[19] = compute_kernel(x, 6.2, 2.8, 4.8, 1.8);
kernels[20] = compute_kernel(x, 6.1, 3.0, 4.9, 1.8);
kernels[21] = compute_kernel(x, 7.2, 3.0, 5.8, 1.6);
kernels[22] = compute_kernel(x, 6.3, 2.8, 5.1, 1.5);
kernels[23] = compute_kernel(x, 6.0, 3.0, 4.8, 1.8);
kernels[24] = compute_kernel(x, 6.3, 2.5, 5.0, 1.9);
kernels[25] = compute_kernel(x, 6.5, 3.0, 5.2, 2.0);
kernels[26] = compute_kernel(x, 5.9, 3.0, 5.1, 1.8);
decisions[0] = 1.452844496978 + kernels[0] * 0.67075289031 + kernels[2] * 0.077097563476 + kernels[14] * -0.747850453786;
decisions[1] = 1.507713125178 + kernels[0] * 0.043820415076 + kernels[1] * 0.159872086718 + kernels[15] * -0.203692501794;
decisions[2] = 6.78097118511 + kernels[3] + kernels[4] + kernels[5] + kernels[6] + kernels[7] + kernels[8] + kernels[9] +
kernels[10] * 0.243261886421 + kernels[11] + kernels[12] + kernels[13] - kernels[15] - kernels[16] -
kernels[17] - kernels[18] - kernels[19] - kernels[20] + kernels[21] * -0.437859817863 - kernels[22] -
kernels[23] + kernels[24] * -0.645105347981 + kernels[25] * -0.160296720576 - kernels[26];
votes[decisions[0] > 0 ? 0 : 1] += 1;
votes[decisions[1] > 0 ? 0 : 2] += 1;
votes[decisions[2] > 0 ? 1 : 2] += 1;
int val = votes[0];
int idx = 0;
for (int i = 1; i < 3; i++) {
if (votes[i] > val) {
val = votes[i];
idx = i;
}
}
return idx;
}

View File

@ -0,0 +1,7 @@
5.1,3.5,1.4,0.2
6.4,3.2,4.5,1.5
5.8,2.7,5.1,1.9
7.7,3.8,6.7,2.2
5.5,2.6,4.4,1.2
5.1,3.8,1.9,0.4
5.8,2.7,3.9,1.2
1 5.1 3.5 1.4 0.2
2 6.4 3.2 4.5 1.5
3 5.8 2.7 5.1 1.9
4 7.7 3.8 6.7 2.2
5 5.5 2.6 4.4 1.2
6 5.1 3.8 1.9 0.4
7 5.8 2.7 3.9 1.2

View File

@ -0,0 +1,98 @@
#include <string.h>
#include <transform.h>
#define FEATURE_NUM 4
#define CSV_PATH "/csv/iris.csv"
#define CSV_BUFFER_SIZE (1 * 1024)
static float data[10][FEATURE_NUM] = {};
static int data_len = 0;
void simple_CSV_read()
{
int fin;
int col = 0;
char buffer[CSV_BUFFER_SIZE] = "";
char *tmp = "";
char *delim = ",\n ";
fin = open(CSV_PATH, O_RDONLY);
if (!fin) {
printf("Error open file %s", CSV_PATH);
exit(-1);
}
read(fin, buffer, sizeof(buffer));
close(fin);
data_len = 0;
for (tmp = strtok(buffer, delim); tmp && *tmp; col++, tmp = strtok(NULL, delim)) {
if (0 == col % FEATURE_NUM) {
// printf("\n");
data_len++;
col = 0;
}
data[data_len - 1][col] = atof(tmp);
// printf("%.4f ", data[data_len - 1][col]);
}
// printf("\n");
}
void iris_SVC_predict()
{
#include "SVCModel.h"
int result;
simple_CSV_read();
for (int i = 0; i < data_len; i++) {
result = predict(data[i]);
printf("data %d: ", i + 1);
for (int j = 0; j < FEATURE_NUM; j++) {
printf("%.4f ", data[i][j]);
}
printf("result: %d\n", result);
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(iris_SVC_predict, iris predict by SVC);
#endif
void iris_DecisonTree_predict()
{
#include "DecisionTreeClassifierModel.h"
int result;
simple_CSV_read();
for (int i = 0; i < data_len; i++) {
result = predict(data[i]);
printf("data %d: ", i + 1);
for (int j = 0; j < FEATURE_NUM; j++) {
printf("%.4f ", data[i][j]);
}
printf("result: %d\n", result);
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(iris_DecisonTree_predict, iris predict by decison tree classifier);
#endif
void iris_LogisticRegression_predict()
{
#include "LogisticRegressionModel.h"
int result;
simple_CSV_read();
for (int i = 0; i < data_len; i++) {
result = predict(data[i]);
printf("data %d: ", i + 1);
for (int j = 0; j < FEATURE_NUM; j++) {
printf("%.4f ", data[i][j]);
}
printf("result: %d\n", result);
}
}
#ifdef __RT_THREAD_H__
MSH_CMD_EXPORT(iris_LogisticRegression_predict, iris predict by logistic regression);
#endif

View File

@ -9,7 +9,7 @@ if ADD_XIUOS_FETURES
config ADAPTER_EC200T_PIN_DRIVER
string "EC200T device pin driver path"
default "/dev/pin"
default "/dev/pin_dev"
config ADAPTER_EC200T_DRIVER_EXTUART
bool "Using extra uart to support 4G"

View File

@ -19,6 +19,7 @@
*/
#include <adapter.h>
#include <at_agent.h>
static void Ec200tPowerSet(void)
{
@ -50,8 +51,6 @@ static void Ec200tPowerSet(void)
static int Ec200tOpen(struct Adapter *adapter)
{
uint8_t ec200t_cmd[64];
/*step1: open ec200t serial port*/
adapter->fd = PrivOpen(ADAPTER_EC200T_DRIVER, O_RDWR);
if (adapter->fd < 0) {
@ -59,43 +58,43 @@ static int Ec200tOpen(struct Adapter *adapter)
return -1;
}
/*step2: serial write "+++", quit transparent mode*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "+++");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
/*step2: init AT agent*/
if (!adapter->agent) {
char *agent_name = "4G_uart_client";
if (EOK != InitATAgent(agent_name, adapter->fd, 512)) {
printf("at agent init failed !\n");
return -1;
}
ATAgentType at_agent = GetATAgent(agent_name);
/*step3: serial write "AT+CCID", get SIM ID*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "AT+CCID\r\n");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
adapter->agent = at_agent;
}
/*step3: serial write "+++", quit transparent mode*/
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "+++");
/*step4: serial write "AT+CCID", get SIM ID*/
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "AT+CCID\r\n");
PrivTaskDelay(2500);
/*step4: serial write "AT+CPIN?", check SIM status*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "AT+CPIN?\r\n");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
/*step5: serial write "AT+CPIN?", check SIM status*/
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "AT+CPIN?\r\n");
PrivTaskDelay(2500);
/*step5: serial write "AT+CREG?", check whether registered to GSM net*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "AT+CREG?\r\n");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
/*step6: serial write "AT+CREG?", check whether registered to GSM net*/
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "AT+CREG?\r\n");
PrivTaskDelay(2500);
/*step6: serial write "AT+QICLOSE", close socket connect before open socket*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "AT+QICLOSE=0\r\n");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
/*step7: serial write "AT+QICLOSE", close socket connect before open socket*/
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "AT+QICLOSE=0\r\n");
PrivTaskDelay(2500);
/*step7: serial write "AT+QIDEACT", close TCP net before open socket*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "AT+QIDEACT=1\r\n");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
/*step8: serial write "AT+QIDEACT", close TCP net before open socket*/
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "AT+QIDEACT=1\r\n");
PrivTaskDelay(2500);
@ -106,24 +105,21 @@ static int Ec200tOpen(struct Adapter *adapter)
static int Ec200tClose(struct Adapter *adapter)
{
uint8_t ec200t_cmd[64];
if (!adapter->agent) {
printf("Ec200tClose AT agent NULL\n");
return -1;
}
/*step1: serial write "+++", quit transparent mode*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "+++");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "+++");
/*step2: serial write "AT+QICLOSE", close socket connect before open socket*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "AT+QICLOSE=0\r\n");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "AT+QICLOSE=0\r\n");
PrivTaskDelay(2500);
/*step3: serial write "AT+QIDEACT", close TCP net before open socket*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "AT+QIDEACT=1\r\n");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "AT+QIDEACT=1\r\n");
PrivTaskDelay(2500);
@ -167,7 +163,7 @@ static int Ec200tIoctl(struct Adapter *adapter, int cmd, void *args)
return 0;
}
static int Ec200tConnect(struct Adapter *adapter, const char *ip, const char *port, enum IpType ip_type)
static int Ec200tConnect(struct Adapter *adapter, enum NetRoleType net_role, const char *ip, const char *port, enum IpType ip_type)
{
uint8_t ec200t_cmd[64];
@ -180,14 +176,12 @@ static int Ec200tConnect(struct Adapter *adapter, const char *ip, const char *po
strcpy(ec200t_cmd, "AT+QICSGP=1,2,\"CMNET\",\"\",\"\",1\r\n");
}
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, ec200t_cmd);
PrivTaskDelay(2500);
/*step2: serial write "AT+QIACT", open TCP net*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "AT+QIACT=1\r\n");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "AT+QIACT=1\r\n");
PrivTaskDelay(2500);
@ -200,7 +194,7 @@ static int Ec200tConnect(struct Adapter *adapter, const char *ip, const char *po
strcat(ec200t_cmd, ",0,2\r\n");
ADAPTER_DEBUG("Ec200t connect AT CMD :%s\n", ec200t_cmd);
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, ec200t_cmd);
ADAPTER_DEBUG("Ec200t connect TCP done\n");
@ -224,14 +218,10 @@ static int Ec200tDisconnect(struct Adapter *adapter)
uint8_t ec200t_cmd[64];
/*step1: serial write "+++", quit transparent mode*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "+++");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "+++");
/*step2: serial write "AT+QICLOSE", close socket connect before open socket*/
memset(ec200t_cmd, 0, sizeof(ec200t_cmd));
strcpy(ec200t_cmd, "AT+QICLOSE=0\r\n");
PrivWrite(adapter->fd, ec200t_cmd, strlen(ec200t_cmd));
ATOrderSend(adapter->agent, REPLY_TIME_OUT, NULL, "AT+QICLOSE=0\r\n");
PrivTaskDelay(2500);
@ -245,6 +235,13 @@ static const struct IpProtocolDone ec200t_done =
.open = Ec200tOpen,
.close = Ec200tClose,
.ioctl = Ec200tIoctl,
.setup = NULL,
.setdown = NULL,
.setaddr = NULL,
.setdns = NULL,
.setdhcp = NULL,
.ping = NULL,
.netstat = NULL,
.connect = Ec200tConnect,
.send = Ec200tSend,
.recv = Ec200tRecv,

View File

@ -51,7 +51,6 @@ int Adapter4GInit(void)
struct Adapter *adapter = malloc(sizeof(struct Adapter));
if (!adapter) {
printf("Adapter4GInit malloc error\n");
free(adapter);
return -1;
}
@ -80,11 +79,32 @@ int Adapter4GInit(void)
return ret;
}
/******************TEST*********************/
static int Adapter4GTest(void)
/******************4G TEST*********************/
int Adapter4GTest(void)
{
int ret = 0;
const char *send_msg = "SendHeart";
char recv_msg[128];
int baud_rate = BAUD_RATE_115200;
struct Adapter* adapter = AdapterDeviceFindByName(ADAPTER_4G_NAME);
return ret;
#ifdef ADAPTER_EC200T
//Using DSD server to test 4G Socket connection
uint8 server_addr[64] = "115.238.53.61";
uint8 server_port[64] = "33333";
AdapterDeviceOpen(adapter);
AdapterDeviceControl(adapter, OPE_INT, &baud_rate);
AdapterDeviceConnect(adapter, CLIENT, server_addr, server_port, IPV4);
while (1) {
AdapterDeviceSend(adapter, send_msg, strlen(send_msg));
AdapterDeviceRecv(adapter, recv_msg, 128);
printf("4G recv msg %s\n", recv_msg);
}
#endif
return 0;
}
SHELL_EXPORT_CMD(SHELL_CMD_PERMISSION(0)|SHELL_CMD_TYPE(SHELL_TYPE_CMD_FUNC)|SHELL_CMD_PARAM_NUM(0)|SHELL_CMD_DISABLE_RETURN, Adapter4GTest, Adapter4GTest, show adapter 4G information);

View File

@ -446,6 +446,11 @@ int AdapterDeviceDisconnect(struct Adapter *adapter)
}
}
/**
* @description: Set up to net
* @param adapter - adapter device pointer
* @return success: 0 , failure: other
*/
int AdapterDeviceSetUp(struct Adapter *adapter)
{
if (!adapter)
@ -501,6 +506,11 @@ int AdapterDeviceSetUp(struct Adapter *adapter)
return result;
}
/**
* @description: Set down from net
* @param adapter - adapter device pointer
* @return success: 0 , failure: other
*/
int AdapterDeviceSetDown(struct Adapter *adapter)
{
if (!adapter)
@ -556,6 +566,14 @@ int AdapterDeviceSetDown(struct Adapter *adapter)
return result;
}
/**
* @description: Set ip/gateway/netmask address
* @param adapter - adapter device pointer
* @param ip - ip address
* @param gateway - gateway address
* @param netmast - netmast address
* @return success: 0 , failure: other
*/
int AdapterDeviceSetAddr(struct Adapter *adapter, const char *ip, const char *gateway, const char *netmask)
{
if (!adapter)
@ -611,6 +629,135 @@ int AdapterDeviceSetAddr(struct Adapter *adapter, const char *ip, const char *ga
return result;
}
/**
* @description: Set dns function
* @param adapter - adapter device pointer
* @param dns_addr - dns address
* @param dns_count - dns count
* @return success: 0 , failure: other
*/
int AdapterDeviceSetDns(struct Adapter *adapter, const char *dns_addr, uint8 dns_count)
{
if (!adapter)
return -1;
int result = 0;
struct IpProtocolDone *ip_done = NULL;
struct PrivProtocolDone *priv_done = NULL;
switch (adapter->net_protocol)
{
case PRIVATE_PROTOCOL:
priv_done = (struct PrivProtocolDone *)adapter->done;
if (NULL == priv_done->setdns)
return 0;
result = priv_done->setdns(adapter, dns_addr, dns_count);
if (0 == result) {
printf("Device %s setdns success.\n", adapter->name);
adapter->adapter_status = INSTALL;
} else {
if (adapter->fd) {
PrivClose(adapter->fd);
adapter->fd = 0;
}
printf("Device %s setdns failed(%d).\n", adapter->name, result);
}
break;
case IP_PROTOCOL:
ip_done = (struct IpProtocolDone *)adapter->done;
if (NULL == ip_done->setdns)
return 0;
result = ip_done->setdns(adapter, dns_addr, dns_count);
if (0 == result) {
printf("Device %s setdns success.\n", adapter->name);
adapter->adapter_status = INSTALL;
} else {
if (adapter->fd) {
PrivClose(adapter->fd);
adapter->fd = 0;
}
printf("Device %s setdns failed(%d).\n", adapter->name, result);
}
break;
default:
break;
}
return result;
}
/**
* @description: Set DHCP function
* @param adapter - adapter device pointer
* @param enable - enable DHCP or not
* @return success: 0 , failure: other
*/
int AdapterDeviceSetDhcp(struct Adapter *adapter, int enable)
{
if (!adapter)
return -1;
int result = 0;
struct IpProtocolDone *ip_done = NULL;
struct PrivProtocolDone *priv_done = NULL;
switch (adapter->net_protocol)
{
case PRIVATE_PROTOCOL:
priv_done = (struct PrivProtocolDone *)adapter->done;
if (NULL == priv_done->setdhcp)
return 0;
result = priv_done->setdhcp(adapter, enable);
if (0 == result) {
printf("Device %s setdhcp success.\n", adapter->name);
adapter->adapter_status = INSTALL;
} else {
if (adapter->fd) {
PrivClose(adapter->fd);
adapter->fd = 0;
}
printf("Device %s setdhcp failed(%d).\n", adapter->name, result);
}
break;
case IP_PROTOCOL:
ip_done = (struct IpProtocolDone *)adapter->done;
if (NULL == ip_done->setdhcp)
return 0;
result = ip_done->setdhcp(adapter, enable);
if (0 == result) {
printf("Device %s setdhcp success.\n", adapter->name);
adapter->adapter_status = INSTALL;
} else {
if (adapter->fd) {
PrivClose(adapter->fd);
adapter->fd = 0;
}
printf("Device %s setdhcp failed(%d).\n", adapter->name, result);
}
break;
default:
break;
}
return result;
}
/**
* @description: ping function
* @param adapter - adapter device pointer
* @param destination - the destination ip address
* @return success: 0 , failure: other
*/
int AdapterDevicePing(struct Adapter *adapter, const char *destination)
{
if (!adapter)
@ -666,6 +813,11 @@ int AdapterDevicePing(struct Adapter *adapter, const char *destination)
return result;
}
/**
* @description: Show the net status
* @param adapter - adapter device pointer
* @return success: 0 , failure: other
*/
int AdapterDeviceNetstat(struct Adapter *adapter)
{
if (!adapter)

View File

@ -59,8 +59,6 @@ struct AdapterProductInfo;
typedef struct Adapter *AdapterType;
typedef struct AdapterProductInfo *AdapterProductInfoType;
#define ADAPTER_WIFI_NAME "wifi"
struct Socket
{
int id;
@ -90,6 +88,8 @@ enum NetRoleType
{
CLIENT = 1,
SERVER,
MASTER,
SLAVE,
ROLE_NONE,
};
@ -210,12 +210,25 @@ int AdapterDeviceJoin(struct Adapter *adapter, const char *priv_net_group);
/*Adapter disconnect from ip net or private net group*/
int AdapterDeviceDisconnect(struct Adapter *adapter);
/*Set up to net*/
int AdapterDeviceSetUp(struct Adapter *adapter);
/*Set down from net*/
int AdapterDeviceSetDown(struct Adapter *adapter);
/*Set ip/gateway/netmask address*/
int AdapterDeviceSetAddr(struct Adapter *adapter, const char *ip, const char *gateway, const char *netmask);
/**/
int AdapterDeviceSetDns(struct Adapter *adapter, const char *dns_addr, uint8 dns_count);
/**/
int AdapterDeviceSetDhcp(struct Adapter *adapter, int enable);
/*ping function*/
int AdapterDevicePing(struct Adapter *adapter, const char *destination);
/*Show the net status*/
int AdapterDeviceNetstat(struct Adapter *adapter);
#ifdef __cplusplus

View File

@ -0,0 +1,32 @@
config ADAPTER_BLUETOOTH_HC08
string "HC08 adapter name"
default "hc08"
if ADD_XIUOS_FETURES
config ADAPTER_HC08_DRIVER_EXTUART
bool "Using extra uart to support bluetooth"
default n
config ADAPTER_HC08_DRIVER
string "HC08 device uart driver path"
default "/dev/uart4_dev4"
depends on !ADAPTER_HC08_DRIVER_EXTUART
if ADAPTER_HC08_DRIVER_EXTUART
config ADAPTER_HC08_DRIVER
string "HC08 device extra uart driver path"
default "/dev/extuart_dev7"
config ADAPTER_HC08_DRIVER_EXT_PORT
int "if HC08 device using extuart, choose port"
default "7"
endif
endif
if ADD_NUTTX_FETURES
endif
if ADD_RTTHREAD_FETURES
endif

View File

@ -0,0 +1,3 @@
SRC_FILES := hc08.c
include $(KERNEL_ROOT)/compiler.mk

View File

@ -0,0 +1,170 @@
/*
* Copyright (c) 2020 AIIT XUOS Lab
* XiUOS is licensed under Mulan PSL v2.
* You can use this software according to the terms and conditions of the Mulan PSL v2.
* You may obtain a copy of Mulan PSL v2 at:
* http://license.coscl.org.cn/MulanPSL2
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
* EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
* MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
* See the Mulan PSL v2 for more details.
*/
/**
* @file hc08.c
* @brief Implement the connection Bluetooth adapter function, using HC08 device
* @version 1.1
* @author AIIT XUOS Lab
* @date 2021.07.12
*/
#include <adapter.h>
#include <at_agent.h>
static int rx_sem;
static sem_t *hc08_sem;
static pthread_t hc08_recv_thread;
void Hc08RecvThreadEntry(void *parameter)
{
while (1)
{
PrivRead(adapter->fd, buf, len);
UserSemaphoreAbandon(rx_sem);
}
}
static int Hc08Open(struct Adapter *adapter)
{
if (INSTALL == adapter->adapter_status) {
printf("Hc08 has already been open\n");
return 0;
}
/*step1: open hc08 serial port*/
adapter->fd = PrivOpen(ADAPTER_HC08_DRIVER, O_RDWR);
if (adapter->fd < 0) {
printf("Hc08Open get serial %s fd error\n", ADAPTER_HC08_DRIVER);
return -1;
}
/*step2: init AT agent*/
if (!adapter->agent) {
char *agent_name = "bluetooth_uart_client";
if (EOK != InitATAgent(agent_name, adapter->fd, 512)) {
printf("at agent init failed !\n");
return -1;
}
ATAgentType at_agent = GetATAgent(agent_name);
adapter->agent = at_agent;
}
/*step3: create bluetooth receive task*/
PrivSemaphoreCreate(hc08_sem, 0, rx_sem);
PrivTaskCreate(&hc08_recv_thread, NULL, Hc08RecvThreadEntry, NULL);
ADAPTER_DEBUG("Hc08 open done\n");
}
static int Hc08Close(struct Adapter *adapter)
{
return 0;
}
static int Hc08Ioctl(struct Adapter *adapter, int cmd, void *args)
{
if (OPE_INT != cmd) {
printf("Hc08Ioctl only support OPE_INT, do not support %d\n", cmd);
return -1;
}
uint32_t baud_rate = *((uint32_t *)args);
struct SerialDataCfg serial_cfg;
memset(&serial_cfg, 0 ,sizeof(struct SerialDataCfg));
serial_cfg.serial_baud_rate = baud_rate;
serial_cfg.serial_data_bits = DATA_BITS_8;
serial_cfg.serial_stop_bits = STOP_BITS_1;
serial_cfg.serial_buffer_size = SERIAL_RB_BUFSZ;
serial_cfg.serial_parity_mode = PARITY_NONE;
serial_cfg.serial_bit_order = STOP_BITS_1;
serial_cfg.serial_invert_mode = NRZ_NORMAL;
#ifdef ADAPTER_HC08_DRIVER_EXT_PORT
serial_cfg.ext_uart_no = ADAPTER_HC08_DRIVER_EXT_PORT;
serial_cfg.port_configure = PORT_CFG_INIT;
#endif
struct PrivIoctlCfg ioctl_cfg;
ioctl_cfg.ioctl_driver_type = SERIAL_TYPE;
ioctl_cfg.args = &serial_cfg;
PrivIoctl(adapter->fd, OPE_INT, &ioctl_cfg);
ADAPTER_DEBUG("Hc08 ioctl done\n");
return 0;
}
static int Hc08SetAddr(struct Adapter *adapter, const char *ip, const char *gateway, const char *netmask)
{
}
static int Hc08Connect(struct Adapter *adapter, enum NetRoleType net_role, const char *ip, const char *port, enum IpType ip_type)
{
}
static int Hc08Send(struct Adapter *adapter, const void *buf, size_t len)
{
PrivWrite(adapter->fd, buf, len);
return 0;
}
static int Hc08Recv(struct Adapter *adapter, void *buf, size_t len)
{
return 0;
}
static int Hc08Disconnect(struct Adapter *adapter)
{
}
static const struct IpProtocolDone hc08_done =
{
.open = Hc08Open,
.close = Hc08Close,
.ioctl = Hc08Ioctl,
.setup = NULL,
.setdown = NULL,
.setaddr = Hc08SetAddr,
.setdns = NULL,
.setdhcp = NULL,
.ping = NULL,
.netstat = NULL,
.connect = Hc08Connect,
.send = Hc08Send,
.recv = Hc08Recv,
.disconnect = Hc08Disconnect,
};
AdapterProductInfoType Hc08Attach(struct Adapter *adapter)
{
struct AdapterProductInfo *product_info = malloc(sizeof(struct AdapterProductInfo));
if (!product_info) {
printf("Hc08Attach malloc product_info error\n");
free(product_info);
return NULL;
}
product_info->model_name = ADAPTER_BLUETOOTH_HC08;
product_info->model_done = (void *)&hc08_done;
return product_info;
}

View File

@ -0,0 +1,14 @@
config ADAPTER_BLUETOOTH
bool "Using bluetooth adapter function"
default y
if ADAPTER_BLUETOOTH
config ADAPTER_HC08
bool "Using bluetooth adapter device HC08"
default y
if ADAPTER_HC08
source "$APP_DIR/Framework/connection/bluetooth/HC08/Kconfig"
endif
endif

View File

@ -1,3 +1,7 @@
SRC_FILES := adapter_bluetooth.c
ifeq ($(CONFIG_ADAPTER_HC08),y)
SRC_DIR += HC08
endif
include $(KERNEL_ROOT)/compiler.mk

View File

@ -48,8 +48,6 @@ static int Hfa21InitAtCmd(ATAgentType at_agent)
*/
static int Hfa21Open(struct Adapter *adapter)
{
uint8_t hfa21_cmd[64];
/*step1: open ec200t serial port*/
adapter->fd = PrivOpen(ADAPTER_HFA21_DRIVER, O_RDWR);
if (adapter->fd < 0) {
@ -58,14 +56,16 @@ static int Hfa21Open(struct Adapter *adapter)
}
/*step2: init AT agent*/
char *agent_name = "uart3_client";
if (InitATAgent(agent_name, adapter->fd, 512)) {
printf("at agent init failed !\n");
return -1;
}
ATAgentType at_agent = GetATAgent(agent_name);
if (!adapter->agent) {
char *agent_name = "wifi_uart_client";
if (EOK != InitATAgent(agent_name, adapter->fd, 512)) {
printf("at agent init failed !\n");
return -1;
}
ATAgentType at_agent = GetATAgent(agent_name);
adapter->agent = at_agent;
adapter->agent = at_agent;
}
ADAPTER_DEBUG("Hfa21 open done\n");
@ -195,7 +195,7 @@ static int Hfa21SetDown(struct Adapter *adapter)
}
/**
* @description: set wifi ip/gatewy/netmask address(in sta mode)
* @description: set wifi ip/gateway/netmask address(in sta mode)
* @param adapter - wifi device pointer
* @param ip - ip address
* @param gateway - gateway address

View File

@ -25,6 +25,8 @@
extern AdapterProductInfoType Hfa21Attach(struct Adapter *adapter);
#endif
#define ADAPTER_WIFI_NAME "wifi"
static int AdapterWifiRegister(struct Adapter *adapter)
{
int ret = 0;
@ -151,15 +153,13 @@ int AdapterWifiTest(void)
const char *wifi_msg = "LiuKai Test";
int len = strlen(wifi_msg);
for(int i=0;i<10;++i)
{
for(int i = 0;i < 10; ++i) {
AdapterDeviceSend(adapter, wifi_msg, len);
PrivTaskDelay(4000);
}
char wifi_recv_msg[128];
while (1)
{
while (1) {
AdapterDeviceRecv(adapter, wifi_recv_msg, 128);
}

View File

@ -0,0 +1,10 @@
# KPU(K210) YOLOv2 region layer
## Introduction
KPU(k210) accelerate most of CNN network layers, but do not support some of operators of YOLOv2 region layer. Such layers and operators will run on MCU instead.
YOLOv2 region layer accept feature map(shape w\*h\*c) and return final detection boxes.
## Usage
Use `(scons --)menuconfig` in bsp folder *(Ubiquitous/RT_Thread/bsp/k210)*, open *APP_Framework --> Framework --> support knowing framework --> kpu model postprocessing --> yolov2 region layer*.

View File

@ -1,66 +1,63 @@
#include <stdlib.h>
#include <math.h>
#include <stdio.h>
#include "region_layer.h"
typedef struct
{
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
typedef struct {
float x;
float y;
float w;
float h;
} box_t;
typedef struct
{
typedef struct {
int index;
int class;
float **probs;
} sortable_box_t;
int region_layer_init(region_layer_t *rl, int width, int height, int channels, int origin_width, int origin_height)
{
int flag = 0;
rl->coords = 4;
rl->image_width = 320;
rl->image_height = 240;
/* As no more parameter adding to this function,
image width(height) is regarded as net input shape as well as image capture from sensor.
If net input did not match sensor input, `dvp_set_image_size` function can set sensor output shape.
*/
rl->image_width = origin_width;
rl->image_height = origin_height;
rl->classes = channels / 5 - 5;
rl->net_width = origin_width;
rl->net_height = origin_height;
rl->layer_width = width;
rl->layer_height = height;
rl->boxes_number = (rl->layer_width * rl->layer_height * rl->anchor_number);
rl->boxes_number = (rl->layer_width * rl->layer_height * rl->anchor_number);
rl->output_number = (rl->boxes_number * (rl->classes + rl->coords + 1));
rl->output = malloc(rl->output_number * sizeof(float));
if (rl->output == NULL)
{
if (rl->output == NULL) {
flag = -1;
goto malloc_error;
}
rl->boxes = malloc(rl->boxes_number * sizeof(box_t));
if (rl->boxes == NULL)
{
if (rl->boxes == NULL) {
flag = -2;
goto malloc_error;
}
rl->probs_buf = malloc(rl->boxes_number * (rl->classes + 1) * sizeof(float));
if (rl->probs_buf == NULL)
{
if (rl->probs_buf == NULL) {
flag = -3;
goto malloc_error;
}
rl->probs = malloc(rl->boxes_number * sizeof(float *));
if (rl->probs == NULL)
{
if (rl->probs == NULL) {
flag = -4;
goto malloc_error;
}
for (uint32_t i = 0; i < rl->boxes_number; i++)
rl->probs[i] = &(rl->probs_buf[i * (rl->classes + 1)]);
for (uint32_t i = 0; i < rl->boxes_number; i++) rl->probs[i] = &(rl->probs_buf[i * (rl->classes + 1)]);
return 0;
malloc_error:
free(rl->output);
@ -78,24 +75,20 @@ void region_layer_deinit(region_layer_t *rl)
free(rl->probs);
}
static inline float sigmoid(float x)
{
return 1.f / (1.f + expf(-x));
}
static inline float sigmoid(float x) { return 1.f / (1.f + expf(-x)); }
static void activate_array(region_layer_t *rl, int index, int n)
{
float *output = &rl->output[index];
float *input = &rl->input[index];
for (int i = 0; i < n; ++i)
output[i] = sigmoid(input[i]);
for (int i = 0; i < n; ++i) output[i] = sigmoid(input[i]);
}
static int entry_index(region_layer_t *rl, int location, int entry)
{
int wh = rl->layer_width * rl->layer_height;
int n = location / wh;
int n = location / wh;
int loc = location % wh;
return n * wh * (rl->coords + rl->classes + 1) + entry * wh + loc;
@ -109,10 +102,8 @@ static void softmax(region_layer_t *rl, float *input, int n, int stride, float *
float sum = 0;
float largest_i = input[0];
for (i = 0; i < n; ++i)
{
if (input[i * stride] > largest_i)
largest_i = input[i * stride];
for (i = 0; i < n; ++i) {
if (input[i * stride] > largest_i) largest_i = input[i * stride];
}
for (i = 0; i < n; ++i) {
@ -121,17 +112,16 @@ static void softmax(region_layer_t *rl, float *input, int n, int stride, float *
sum += e;
output[i * stride] = e;
}
for (i = 0; i < n; ++i)
output[i * stride] /= sum;
for (i = 0; i < n; ++i) output[i * stride] /= sum;
}
static void softmax_cpu(region_layer_t *rl, float *input, int n, int batch, int batch_offset, int groups, int stride, float *output)
static void softmax_cpu(region_layer_t *rl, float *input, int n, int batch, int batch_offset, int groups, int stride,
float *output)
{
int g, b;
for (b = 0; b < batch; ++b) {
for (g = 0; g < groups; ++g)
softmax(rl, input + b * batch_offset + g, n, stride, output + b * batch_offset + g);
for (g = 0; g < groups; ++g) softmax(rl, input + b * batch_offset + g, n, stride, output + b * batch_offset + g);
}
}
@ -139,11 +129,9 @@ static void forward_region_layer(region_layer_t *rl)
{
int index;
for (index = 0; index < rl->output_number; index++)
rl->output[index] = rl->input[index];
for (index = 0; index < rl->output_number; index++) rl->output[index] = rl->input[index];
for (int n = 0; n < rl->anchor_number; ++n)
{
for (int n = 0; n < rl->anchor_number; ++n) {
index = entry_index(rl, n * rl->layer_width * rl->layer_height, 0);
activate_array(rl, index, 2 * rl->layer_width * rl->layer_height);
index = entry_index(rl, n * rl->layer_width * rl->layer_height, 4);
@ -151,9 +139,8 @@ static void forward_region_layer(region_layer_t *rl)
}
index = entry_index(rl, 0, rl->coords + 1);
softmax_cpu(rl, rl->input + index, rl->classes, rl->anchor_number,
rl->output_number / rl->anchor_number, rl->layer_width * rl->layer_height,
rl->layer_width * rl->layer_height, rl->output + index);
softmax_cpu(rl, rl->input + index, rl->classes, rl->anchor_number, rl->output_number / rl->anchor_number,
rl->layer_width * rl->layer_height, rl->layer_width * rl->layer_height, rl->output + index);
}
static void correct_region_boxes(region_layer_t *rl, box_t *boxes)
@ -166,8 +153,7 @@ static void correct_region_boxes(region_layer_t *rl, box_t *boxes)
int new_w = 0;
int new_h = 0;
if (((float)net_width / image_width) <
((float)net_height / image_height)) {
if (((float)net_width / image_width) < ((float)net_height / image_height)) {
new_w = net_width;
new_h = (image_height * net_width) / image_width;
} else {
@ -177,10 +163,8 @@ static void correct_region_boxes(region_layer_t *rl, box_t *boxes)
for (int i = 0; i < boxes_number; ++i) {
box_t b = boxes[i];
b.x = (b.x - (net_width - new_w) / 2. / net_width) /
((float)new_w / net_width);
b.y = (b.y - (net_height - new_h) / 2. / net_height) /
((float)new_h / net_height);
b.x = (b.x - (net_width - new_w) / 2. / net_width) / ((float)new_w / net_width);
b.y = (b.y - (net_height - new_h) / 2. / net_height) / ((float)new_h / net_height);
b.w *= (float)net_width / new_w;
b.h *= (float)net_height / new_h;
boxes[i] = b;
@ -205,36 +189,31 @@ static void get_region_boxes(region_layer_t *rl, float *predictions, float **pro
uint32_t anchor_number = rl->anchor_number;
uint32_t classes = rl->classes;
uint32_t coords = rl->coords;
float threshold = rl->threshold;
float *threshold = rl->threshold;
for (int i = 0; i < layer_width * layer_height; ++i)
{
for (int i = 0; i < layer_width * layer_height; ++i) {
int row = i / layer_width;
int col = i % layer_width;
for (int n = 0; n < anchor_number; ++n)
{
for (int n = 0; n < anchor_number; ++n) {
int index = n * layer_width * layer_height + i;
for (int j = 0; j < classes; ++j)
probs[index][j] = 0;
for (int j = 0; j < classes; ++j) probs[index][j] = 0;
int obj_index = entry_index(rl, n * layer_width * layer_height + i, coords);
int box_index = entry_index(rl, n * layer_width * layer_height + i, 0);
float scale = predictions[obj_index];
float scale = predictions[obj_index];
boxes[index] = get_region_box(predictions, rl->anchor, n, box_index, col, row,
layer_width, layer_height, layer_width * layer_height);
boxes[index] = get_region_box(predictions, rl->anchor, n, box_index, col, row, layer_width, layer_height,
layer_width * layer_height);
float max = 0;
for (int j = 0; j < classes; ++j)
{
for (int j = 0; j < classes; ++j) {
int class_index = entry_index(rl, n * layer_width * layer_height + i, coords + 1 + j);
float prob = scale * predictions[class_index];
probs[index][j] = (prob > threshold) ? prob : 0;
if (prob > max)
max = prob;
probs[index][j] = (prob > threshold[j]) ? prob : 0;
if (prob > max) max = prob;
}
probs[index][classes] = max;
}
@ -257,11 +236,11 @@ static int nms_comparator(void *pa, void *pb)
static float overlap(float x1, float w1, float x2, float w2)
{
float l1 = x1 - w1/2;
float l2 = x2 - w2/2;
float l1 = x1 - w1 / 2;
float l2 = x2 - w2 / 2;
float left = l1 > l2 ? l1 : l2;
float r1 = x1 + w1/2;
float r2 = x2 + w2/2;
float r1 = x1 + w1 / 2;
float r2 = x2 + w2 / 2;
float right = r1 < r2 ? r1 : r2;
return right - left;
@ -272,8 +251,7 @@ static float box_intersection(box_t a, box_t b)
float w = overlap(a.x, a.w, b.x, b.w);
float h = overlap(a.y, a.h, b.y, b.h);
if (w < 0 || h < 0)
return 0;
if (w < 0 || h < 0) return 0;
return w * h;
}
@ -285,10 +263,7 @@ static float box_union(box_t a, box_t b)
return u;
}
static float box_iou(box_t a, box_t b)
{
return box_intersection(a, b) / box_union(a, b);
}
static float box_iou(box_t a, box_t b) { return box_intersection(a, b) / box_union(a, b); }
static void do_nms_sort(region_layer_t *rl, box_t *boxes, float **probs)
{
@ -298,30 +273,23 @@ static void do_nms_sort(region_layer_t *rl, box_t *boxes, float **probs)
int i, j, k;
sortable_box_t s[boxes_number];
for (i = 0; i < boxes_number; ++i)
{
for (i = 0; i < boxes_number; ++i) {
s[i].index = i;
s[i].class = 0;
s[i].probs = probs;
}
for (k = 0; k < classes; ++k)
{
for (i = 0; i < boxes_number; ++i)
s[i].class = k;
for (k = 0; k < classes; ++k) {
for (i = 0; i < boxes_number; ++i) s[i].class = k;
qsort(s, boxes_number, sizeof(sortable_box_t), nms_comparator);
for (i = 0; i < boxes_number; ++i)
{
if (probs[s[i].index][k] == 0)
continue;
for (i = 0; i < boxes_number; ++i) {
if (probs[s[i].index][k] == 0) continue;
box_t a = boxes[s[i].index];
for (j = i + 1; j < boxes_number; ++j)
{
for (j = i + 1; j < boxes_number; ++j) {
box_t b = boxes[s[j].index];
if (box_iou(a, b) > nms_value)
probs[s[j].index][k] = 0;
if (box_iou(a, b) > nms_value) probs[s[j].index][k] = 0;
}
}
}
@ -332,11 +300,9 @@ static int max_index(float *a, int n)
int i, max_i = 0;
float max = a[0];
for (i = 1; i < n; ++i)
{
if (a[i] > max)
{
max = a[i];
for (i = 1; i < n; ++i) {
if (a[i] > max) {
max = a[i];
max_i = i;
}
}
@ -349,16 +315,14 @@ static void region_layer_output(region_layer_t *rl, obj_info_t *obj_info)
uint32_t image_width = rl->image_width;
uint32_t image_height = rl->image_height;
uint32_t boxes_number = rl->boxes_number;
float threshold = rl->threshold;
float *threshold = rl->threshold;
box_t *boxes = (box_t *)rl->boxes;
for (int i = 0; i < rl->boxes_number; ++i)
{
int class = max_index(rl->probs[i], rl->classes);
for (int i = 0; i < rl->boxes_number; ++i) {
int class = max_index(rl->probs[i], rl->classes);
float prob = rl->probs[i][class];
if (prob > threshold)
{
if (prob > threshold[class]) {
box_t *b = boxes + i;
obj_info->obj[obj_number].x1 = b->x * image_width - (b->w * image_width / 2);
obj_info->obj[obj_number].y1 = b->y * image_height - (b->h * image_height / 2);
@ -380,7 +344,8 @@ void region_layer_run(region_layer_t *rl, obj_info_t *obj_info)
region_layer_output(rl, obj_info);
}
void draw_edge(uint32_t *gram, obj_info_t *obj_info, uint32_t index, uint16_t color)
void draw_edge(uint32_t *gram, obj_info_t *obj_info, uint32_t index, uint16_t color, uint16_t image_width,
uint16_t image_height)
{
uint32_t data = ((uint32_t)color << 16) | (uint32_t)color;
uint32_t *addr1, *addr2, *addr3, *addr4, x1, y1, x2, y2;
@ -390,48 +355,41 @@ void draw_edge(uint32_t *gram, obj_info_t *obj_info, uint32_t index, uint16_t co
x2 = obj_info->obj[index].x2;
y2 = obj_info->obj[index].y2;
if (x1 <= 0)
x1 = 1;
if (x2 >= 319)
x2 = 318;
if (y1 <= 0)
y1 = 1;
if (y2 >= 239)
y2 = 238;
if (x1 <= 0) x1 = 1;
if (x2 >= image_width - 1) x2 = image_width - 2;
if (y1 <= 0) y1 = 1;
if (y2 >= image_height - 1) y2 = image_height - 2;
addr1 = gram + (320 * y1 + x1) / 2;
addr2 = gram + (320 * y1 + x2 - 8) / 2;
addr3 = gram + (320 * (y2 - 1) + x1) / 2;
addr4 = gram + (320 * (y2 - 1) + x2 - 8) / 2;
for (uint32_t i = 0; i < 4; i++)
{
addr1 = gram + (image_width * y1 + x1) / 2;
addr2 = gram + (image_width * y1 + x2 - 8) / 2;
addr3 = gram + (image_width * (y2 - 1) + x1) / 2;
addr4 = gram + (image_width * (y2 - 1) + x2 - 8) / 2;
for (uint32_t i = 0; i < 4; i++) {
*addr1 = data;
*(addr1 + 160) = data;
*(addr1 + image_width / 2) = data;
*addr2 = data;
*(addr2 + 160) = data;
*(addr2 + image_width / 2) = data;
*addr3 = data;
*(addr3 + 160) = data;
*(addr3 + image_width / 2) = data;
*addr4 = data;
*(addr4 + 160) = data;
*(addr4 + image_width / 2) = data;
addr1++;
addr2++;
addr3++;
addr4++;
}
addr1 = gram + (320 * y1 + x1) / 2;
addr2 = gram + (320 * y1 + x2 - 2) / 2;
addr3 = gram + (320 * (y2 - 8) + x1) / 2;
addr4 = gram + (320 * (y2 - 8) + x2 - 2) / 2;
for (uint32_t i = 0; i < 8; i++)
{
addr1 = gram + (image_width * y1 + x1) / 2;
addr2 = gram + (image_width * y1 + x2 - 2) / 2;
addr3 = gram + (image_width * (y2 - 8) + x1) / 2;
addr4 = gram + (image_width * (y2 - 8) + x2 - 2) / 2;
for (uint32_t i = 0; i < 8; i++) {
*addr1 = data;
*addr2 = data;
*addr3 = data;
*addr4 = data;
addr1 += 160;
addr2 += 160;
addr3 += 160;
addr4 += 160;
addr1 += image_width / 2;
addr2 += image_width / 2;
addr3 += image_width / 2;
addr4 += image_width / 2;
}
}

View File

@ -20,7 +20,7 @@ typedef struct
typedef struct
{
float threshold;
float *threshold;
float nms_value;
uint32_t coords;
uint32_t anchor_number;
@ -44,6 +44,6 @@ typedef struct
int region_layer_init(region_layer_t *rl, int width, int height, int channels, int origin_width, int origin_height);
void region_layer_deinit(region_layer_t *rl);
void region_layer_run(region_layer_t *rl, obj_info_t *obj_info);
void draw_edge(uint32_t *gram, obj_info_t *obj_info, uint32_t index, uint16_t color);
void draw_edge(uint32_t *gram, obj_info_t *obj_info, uint32_t index, uint16_t color, uint16_t image_width, uint16_t image_height);
#endif // _REGION_LAYER

View File

@ -1,5 +1,5 @@
menu "app lib"
menu "lib"
choice
prompt "chose a kind of lib for app"
default APP_SELECT_NEWLIB
@ -10,5 +10,5 @@ menu "app lib"
config APP_SELECT_OTHER_LIB
bool "app select other lib"
endchoice
source "$APP_DIR/lib/cJSON/Kconfig"
endmenu

View File

@ -0,0 +1,14 @@
import os
Import('RTT_ROOT')
from building import *
cwd = GetCurrentDir()
objs = []
list = os.listdir(cwd)
for d in list:
path = os.path.join(cwd, d)
if os.path.isfile(os.path.join(path, 'SConscript')):
objs = objs + SConscript(os.path.join(path, 'SConscript'))
Return('objs')

View File

@ -0,0 +1,3 @@
menuconfig LIB_USING_CJSON
bool "USING cJSON"
default n

View File

@ -0,0 +1,10 @@
from building import *
import os
cwd = GetCurrentDir()
src = Glob('*.c')
group = DefineGroup('cjson', src, depend = ['LIB_USING_CJSON'], CPPPATH = [cwd])
Return('group')

File diff suppressed because it is too large Load Diff

View File

@ -0,0 +1,293 @@
/*
Copyright (c) 2009-2017 Dave Gamble and cJSON contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
#ifndef cJSON__h
#define cJSON__h
#ifdef __cplusplus
extern "C"
{
#endif
#if !defined(__WINDOWS__) && (defined(WIN32) || defined(WIN64) || defined(_MSC_VER) || defined(_WIN32))
#define __WINDOWS__
#endif
#ifdef __WINDOWS__
/* When compiling for windows, we specify a specific calling convention to avoid issues where we are being called from a project with a different default calling convention. For windows you have 3 define options:
CJSON_HIDE_SYMBOLS - Define this in the case where you don't want to ever dllexport symbols
CJSON_EXPORT_SYMBOLS - Define this on library build when you want to dllexport symbols (default)
CJSON_IMPORT_SYMBOLS - Define this if you want to dllimport symbol
For *nix builds that support visibility attribute, you can define similar behavior by
setting default visibility to hidden by adding
-fvisibility=hidden (for gcc)
or
-xldscope=hidden (for sun cc)
to CFLAGS
then using the CJSON_API_VISIBILITY flag to "export" the same symbols the way CJSON_EXPORT_SYMBOLS does
*/
#define CJSON_CDECL __cdecl
#define CJSON_STDCALL __stdcall
/* export symbols by default, this is necessary for copy pasting the C and header file */
#if !defined(CJSON_HIDE_SYMBOLS) && !defined(CJSON_IMPORT_SYMBOLS) && !defined(CJSON_EXPORT_SYMBOLS)
#define CJSON_EXPORT_SYMBOLS
#endif
#if defined(CJSON_HIDE_SYMBOLS)
#define CJSON_PUBLIC(type) type CJSON_STDCALL
#elif defined(CJSON_EXPORT_SYMBOLS)
#define CJSON_PUBLIC(type) __declspec(dllexport) type CJSON_STDCALL
#elif defined(CJSON_IMPORT_SYMBOLS)
#define CJSON_PUBLIC(type) __declspec(dllimport) type CJSON_STDCALL
#endif
#else /* !__WINDOWS__ */
#define CJSON_CDECL
#define CJSON_STDCALL
#if (defined(__GNUC__) || defined(__SUNPRO_CC) || defined (__SUNPRO_C)) && defined(CJSON_API_VISIBILITY)
#define CJSON_PUBLIC(type) __attribute__((visibility("default"))) type
#else
#define CJSON_PUBLIC(type) type
#endif
#endif
/* project version */
#define CJSON_VERSION_MAJOR 1
#define CJSON_VERSION_MINOR 7
#define CJSON_VERSION_PATCH 14
#include <stddef.h>
/* cJSON Types: */
#define cJSON_Invalid (0)
#define cJSON_False (1 << 0)
#define cJSON_True (1 << 1)
#define cJSON_NULL (1 << 2)
#define cJSON_Number (1 << 3)
#define cJSON_String (1 << 4)
#define cJSON_Array (1 << 5)
#define cJSON_Object (1 << 6)
#define cJSON_Raw (1 << 7) /* raw json */
#define cJSON_IsReference 256
#define cJSON_StringIsConst 512
/* The cJSON structure: */
typedef struct cJSON
{
/* next/prev allow you to walk array/object chains. Alternatively, use GetArraySize/GetArrayItem/GetObjectItem */
struct cJSON *next;
struct cJSON *prev;
/* An array or object item will have a child pointer pointing to a chain of the items in the array/object. */
struct cJSON *child;
/* The type of the item, as above. */
int type;
/* The item's string, if type==cJSON_String and type == cJSON_Raw */
char *valuestring;
/* writing to valueint is DEPRECATED, use cJSON_SetNumberValue instead */
int valueint;
/* The item's number, if type==cJSON_Number */
double valuedouble;
/* The item's name string, if this item is the child of, or is in the list of subitems of an object. */
char *string;
} cJSON;
typedef struct cJSON_Hooks
{
/* malloc/free are CDECL on Windows regardless of the default calling convention of the compiler, so ensure the hooks allow passing those functions directly. */
void *(CJSON_CDECL *malloc_fn)(size_t sz);
void (CJSON_CDECL *free_fn)(void *ptr);
} cJSON_Hooks;
typedef int cJSON_bool;
/* Limits how deeply nested arrays/objects can be before cJSON rejects to parse them.
* This is to prevent stack overflows. */
#ifndef CJSON_NESTING_LIMIT
#define CJSON_NESTING_LIMIT 1000
#endif
/* returns the version of cJSON as a string */
CJSON_PUBLIC(const char*) cJSON_Version(void);
/* Supply malloc, realloc and free functions to cJSON */
CJSON_PUBLIC(void) cJSON_InitHooks(cJSON_Hooks* hooks);
/* Memory Management: the caller is always responsible to free the results from all variants of cJSON_Parse (with cJSON_Delete) and cJSON_Print (with stdlib free, cJSON_Hooks.free_fn, or cJSON_free as appropriate). The exception is cJSON_PrintPreallocated, where the caller has full responsibility of the buffer. */
/* Supply a block of JSON, and this returns a cJSON object you can interrogate. */
CJSON_PUBLIC(cJSON *) cJSON_Parse(const char *value);
CJSON_PUBLIC(cJSON *) cJSON_ParseWithLength(const char *value, size_t buffer_length);
/* ParseWithOpts allows you to require (and check) that the JSON is null terminated, and to retrieve the pointer to the final byte parsed. */
/* If you supply a ptr in return_parse_end and parsing fails, then return_parse_end will contain a pointer to the error so will match cJSON_GetErrorPtr(). */
CJSON_PUBLIC(cJSON *) cJSON_ParseWithOpts(const char *value, const char **return_parse_end, cJSON_bool require_null_terminated);
CJSON_PUBLIC(cJSON *) cJSON_ParseWithLengthOpts(const char *value, size_t buffer_length, const char **return_parse_end, cJSON_bool require_null_terminated);
/* Render a cJSON entity to text for transfer/storage. */
CJSON_PUBLIC(char *) cJSON_Print(const cJSON *item);
/* Render a cJSON entity to text for transfer/storage without any formatting. */
CJSON_PUBLIC(char *) cJSON_PrintUnformatted(const cJSON *item);
/* Render a cJSON entity to text using a buffered strategy. prebuffer is a guess at the final size. guessing well reduces reallocation. fmt=0 gives unformatted, =1 gives formatted */
CJSON_PUBLIC(char *) cJSON_PrintBuffered(const cJSON *item, int prebuffer, cJSON_bool fmt);
/* Render a cJSON entity to text using a buffer already allocated in memory with given length. Returns 1 on success and 0 on failure. */
/* NOTE: cJSON is not always 100% accurate in estimating how much memory it will use, so to be safe allocate 5 bytes more than you actually need */
CJSON_PUBLIC(cJSON_bool) cJSON_PrintPreallocated(cJSON *item, char *buffer, const int length, const cJSON_bool format);
/* Delete a cJSON entity and all subentities. */
CJSON_PUBLIC(void) cJSON_Delete(cJSON *item);
/* Returns the number of items in an array (or object). */
CJSON_PUBLIC(int) cJSON_GetArraySize(const cJSON *array);
/* Retrieve item number "index" from array "array". Returns NULL if unsuccessful. */
CJSON_PUBLIC(cJSON *) cJSON_GetArrayItem(const cJSON *array, int index);
/* Get item "string" from object. Case insensitive. */
CJSON_PUBLIC(cJSON *) cJSON_GetObjectItem(const cJSON * const object, const char * const string);
CJSON_PUBLIC(cJSON *) cJSON_GetObjectItemCaseSensitive(const cJSON * const object, const char * const string);
CJSON_PUBLIC(cJSON_bool) cJSON_HasObjectItem(const cJSON *object, const char *string);
/* For analysing failed parses. This returns a pointer to the parse error. You'll probably need to look a few chars back to make sense of it. Defined when cJSON_Parse() returns 0. 0 when cJSON_Parse() succeeds. */
CJSON_PUBLIC(const char *) cJSON_GetErrorPtr(void);
/* Check item type and return its value */
CJSON_PUBLIC(char *) cJSON_GetStringValue(const cJSON * const item);
CJSON_PUBLIC(double) cJSON_GetNumberValue(const cJSON * const item);
/* These functions check the type of an item */
CJSON_PUBLIC(cJSON_bool) cJSON_IsInvalid(const cJSON * const item);
CJSON_PUBLIC(cJSON_bool) cJSON_IsFalse(const cJSON * const item);
CJSON_PUBLIC(cJSON_bool) cJSON_IsTrue(const cJSON * const item);
CJSON_PUBLIC(cJSON_bool) cJSON_IsBool(const cJSON * const item);
CJSON_PUBLIC(cJSON_bool) cJSON_IsNull(const cJSON * const item);
CJSON_PUBLIC(cJSON_bool) cJSON_IsNumber(const cJSON * const item);
CJSON_PUBLIC(cJSON_bool) cJSON_IsString(const cJSON * const item);
CJSON_PUBLIC(cJSON_bool) cJSON_IsArray(const cJSON * const item);
CJSON_PUBLIC(cJSON_bool) cJSON_IsObject(const cJSON * const item);
CJSON_PUBLIC(cJSON_bool) cJSON_IsRaw(const cJSON * const item);
/* These calls create a cJSON item of the appropriate type. */
CJSON_PUBLIC(cJSON *) cJSON_CreateNull(void);
CJSON_PUBLIC(cJSON *) cJSON_CreateTrue(void);
CJSON_PUBLIC(cJSON *) cJSON_CreateFalse(void);
CJSON_PUBLIC(cJSON *) cJSON_CreateBool(cJSON_bool boolean);
CJSON_PUBLIC(cJSON *) cJSON_CreateNumber(double num);
CJSON_PUBLIC(cJSON *) cJSON_CreateString(const char *string);
/* raw json */
CJSON_PUBLIC(cJSON *) cJSON_CreateRaw(const char *raw);
CJSON_PUBLIC(cJSON *) cJSON_CreateArray(void);
CJSON_PUBLIC(cJSON *) cJSON_CreateObject(void);
/* Create a string where valuestring references a string so
* it will not be freed by cJSON_Delete */
CJSON_PUBLIC(cJSON *) cJSON_CreateStringReference(const char *string);
/* Create an object/array that only references it's elements so
* they will not be freed by cJSON_Delete */
CJSON_PUBLIC(cJSON *) cJSON_CreateObjectReference(const cJSON *child);
CJSON_PUBLIC(cJSON *) cJSON_CreateArrayReference(const cJSON *child);
/* These utilities create an Array of count items.
* The parameter count cannot be greater than the number of elements in the number array, otherwise array access will be out of bounds.*/
CJSON_PUBLIC(cJSON *) cJSON_CreateIntArray(const int *numbers, int count);
CJSON_PUBLIC(cJSON *) cJSON_CreateFloatArray(const float *numbers, int count);
CJSON_PUBLIC(cJSON *) cJSON_CreateDoubleArray(const double *numbers, int count);
CJSON_PUBLIC(cJSON *) cJSON_CreateStringArray(const char *const *strings, int count);
/* Append item to the specified array/object. */
CJSON_PUBLIC(cJSON_bool) cJSON_AddItemToArray(cJSON *array, cJSON *item);
CJSON_PUBLIC(cJSON_bool) cJSON_AddItemToObject(cJSON *object, const char *string, cJSON *item);
/* Use this when string is definitely const (i.e. a literal, or as good as), and will definitely survive the cJSON object.
* WARNING: When this function was used, make sure to always check that (item->type & cJSON_StringIsConst) is zero before
* writing to `item->string` */
CJSON_PUBLIC(cJSON_bool) cJSON_AddItemToObjectCS(cJSON *object, const char *string, cJSON *item);
/* Append reference to item to the specified array/object. Use this when you want to add an existing cJSON to a new cJSON, but don't want to corrupt your existing cJSON. */
CJSON_PUBLIC(cJSON_bool) cJSON_AddItemReferenceToArray(cJSON *array, cJSON *item);
CJSON_PUBLIC(cJSON_bool) cJSON_AddItemReferenceToObject(cJSON *object, const char *string, cJSON *item);
/* Remove/Detach items from Arrays/Objects. */
CJSON_PUBLIC(cJSON *) cJSON_DetachItemViaPointer(cJSON *parent, cJSON * const item);
CJSON_PUBLIC(cJSON *) cJSON_DetachItemFromArray(cJSON *array, int which);
CJSON_PUBLIC(void) cJSON_DeleteItemFromArray(cJSON *array, int which);
CJSON_PUBLIC(cJSON *) cJSON_DetachItemFromObject(cJSON *object, const char *string);
CJSON_PUBLIC(cJSON *) cJSON_DetachItemFromObjectCaseSensitive(cJSON *object, const char *string);
CJSON_PUBLIC(void) cJSON_DeleteItemFromObject(cJSON *object, const char *string);
CJSON_PUBLIC(void) cJSON_DeleteItemFromObjectCaseSensitive(cJSON *object, const char *string);
/* Update array items. */
CJSON_PUBLIC(cJSON_bool) cJSON_InsertItemInArray(cJSON *array, int which, cJSON *newitem); /* Shifts pre-existing items to the right. */
CJSON_PUBLIC(cJSON_bool) cJSON_ReplaceItemViaPointer(cJSON * const parent, cJSON * const item, cJSON * replacement);
CJSON_PUBLIC(cJSON_bool) cJSON_ReplaceItemInArray(cJSON *array, int which, cJSON *newitem);
CJSON_PUBLIC(cJSON_bool) cJSON_ReplaceItemInObject(cJSON *object,const char *string,cJSON *newitem);
CJSON_PUBLIC(cJSON_bool) cJSON_ReplaceItemInObjectCaseSensitive(cJSON *object,const char *string,cJSON *newitem);
/* Duplicate a cJSON item */
CJSON_PUBLIC(cJSON *) cJSON_Duplicate(const cJSON *item, cJSON_bool recurse);
/* Duplicate will create a new, identical cJSON item to the one you pass, in new memory that will
* need to be released. With recurse!=0, it will duplicate any children connected to the item.
* The item->next and ->prev pointers are always zero on return from Duplicate. */
/* Recursively compare two cJSON items for equality. If either a or b is NULL or invalid, they will be considered unequal.
* case_sensitive determines if object keys are treated case sensitive (1) or case insensitive (0) */
CJSON_PUBLIC(cJSON_bool) cJSON_Compare(const cJSON * const a, const cJSON * const b, const cJSON_bool case_sensitive);
/* Minify a strings, remove blank characters(such as ' ', '\t', '\r', '\n') from strings.
* The input pointer json cannot point to a read-only address area, such as a string constant,
* but should point to a readable and writable adress area. */
CJSON_PUBLIC(void) cJSON_Minify(char *json);
/* Helper functions for creating and adding items to an object at the same time.
* They return the added item or NULL on failure. */
CJSON_PUBLIC(cJSON*) cJSON_AddNullToObject(cJSON * const object, const char * const name);
CJSON_PUBLIC(cJSON*) cJSON_AddTrueToObject(cJSON * const object, const char * const name);
CJSON_PUBLIC(cJSON*) cJSON_AddFalseToObject(cJSON * const object, const char * const name);
CJSON_PUBLIC(cJSON*) cJSON_AddBoolToObject(cJSON * const object, const char * const name, const cJSON_bool boolean);
CJSON_PUBLIC(cJSON*) cJSON_AddNumberToObject(cJSON * const object, const char * const name, const double number);
CJSON_PUBLIC(cJSON*) cJSON_AddStringToObject(cJSON * const object, const char * const name, const char * const string);
CJSON_PUBLIC(cJSON*) cJSON_AddRawToObject(cJSON * const object, const char * const name, const char * const raw);
CJSON_PUBLIC(cJSON*) cJSON_AddObjectToObject(cJSON * const object, const char * const name);
CJSON_PUBLIC(cJSON*) cJSON_AddArrayToObject(cJSON * const object, const char * const name);
/* When assigning an integer value, it needs to be propagated to valuedouble too. */
#define cJSON_SetIntValue(object, number) ((object) ? (object)->valueint = (object)->valuedouble = (number) : (number))
/* helper for the cJSON_SetNumberValue macro */
CJSON_PUBLIC(double) cJSON_SetNumberHelper(cJSON *object, double number);
#define cJSON_SetNumberValue(object, number) ((object != NULL) ? cJSON_SetNumberHelper(object, (double)number) : (number))
/* Change the valuestring of a cJSON_String object, only takes effect when type of object is cJSON_String */
CJSON_PUBLIC(char*) cJSON_SetValuestring(cJSON *object, const char *valuestring);
/* Macro for iterating over an array or object */
#define cJSON_ArrayForEach(element, array) for(element = (array != NULL) ? (array)->child : NULL; element != NULL; element = element->next)
/* malloc/free objects using the malloc/free functions that have been set with cJSON_InitHooks */
CJSON_PUBLIC(void *) cJSON_malloc(size_t size);
CJSON_PUBLIC(void) cJSON_free(void *object);
#ifdef __cplusplus
}
#endif
#endif

View File

@ -237,7 +237,8 @@ CONFIG_RT_WLAN_WORKQUEUE_THREAD_PRIO=15
# POSIX layer and C standard library
#
CONFIG_RT_USING_LIBC=y
# CONFIG_RT_USING_PTHREADS is not set
CONFIG_RT_USING_PTHREADS=y
CONFIG_PTHREAD_NUM_MAX=8
CONFIG_RT_USING_POSIX=y
# CONFIG_RT_USING_POSIX_MMAP is not set
# CONFIG_RT_USING_POSIX_TERMIOS is not set
@ -379,9 +380,27 @@ CONFIG_BSP_SPI1_USING_SS1=y
CONFIG_BSP_SPI1_SS1_PIN=8
# CONFIG_BSP_SPI1_USING_SS2 is not set
# CONFIG_BSP_SPI1_USING_SS3 is not set
# CONFIG_BSP_USING_LCD is not set
CONFIG_BSP_USING_LCD=y
CONFIG_BSP_LCD_CS_PIN=36
CONFIG_BSP_LCD_WR_PIN=39
CONFIG_BSP_LCD_DC_PIN=38
CONFIG_BSP_LCD_RST_PIN=37
CONFIG_BSP_LCD_X_MAX=240
CONFIG_BSP_LCD_Y_MAX=320
CONFIG_BSP_USING_SDCARD=y
# CONFIG_BSP_USING_DVP is not set
CONFIG_BSP_USING_DVP=y
#
# The default pin assignment is based on the Maix Duino K210 development board
#
CONFIG_BSP_DVP_SCCB_SDA_PIN=40
CONFIG_BSP_DVP_SCCB_SCLK_PIN=41
CONFIG_BSP_DVP_CMOS_RST_PIN=42
CONFIG_BSP_DVP_CMOS_VSYNC_PIN=43
CONFIG_BSP_DVP_CMOS_PWDN_PIN=44
CONFIG_BSP_DVP_CMOS_XCLK_PIN=46
CONFIG_BSP_DVP_CMOS_PCLK_PIN=47
CONFIG_BSP_DVP_CMOS_HREF_PIN=45
#
# Kendryte SDK Config
@ -392,7 +411,7 @@ CONFIG_PKG_KENDRYTE_SDK_VERNUM=0x0055
# More Drivers
#
# CONFIG_PKG_USING_RW007 is not set
# CONFIG_DRV_USING_OV2640 is not set
CONFIG_DRV_USING_OV2640=y
#
# APP_Framework
@ -424,7 +443,7 @@ CONFIG_MAIN_KTASK_STACK_SIZE=1024
#
# knowing app
#
# CONFIG_APPLICATION_KNOWING is not set
CONFIG_FACE_DETECT=y
#
# sensor app
@ -438,9 +457,17 @@ CONFIG_TRANSFORM_LAYER_ATTRIUBUTE=y
CONFIG_ADD_XIUOS_FETURES=y
# CONFIG_ADD_NUTTX_FETURES is not set
# CONFIG_ADD_RTTHREAD_FETURES is not set
# CONFIG_SUPPORT_SENSOR_FRAMEWORK is not set
CONFIG_SUPPORT_SENSOR_FRAMEWORK=y
# CONFIG_SENSOR_CO2 is not set
# CONFIG_SENSOR_PM is not set
# CONFIG_SENSOR_VOICE is not set
# CONFIG_SENSOR_TEMPERATURE is not set
# CONFIG_SENSOR_HUMIDITY is not set
# CONFIG_SUPPORT_CONNECTION_FRAMEWORK is not set
CONFIG_SUPPORT_KNOWING_FRAMEWORK=y
# CONFIG_USING_TENSORFLOWLITEMICRO is not set
CONFIG_USING_KPU_POSTPROCESSING=y
CONFIG_USING_YOLOV2=y
# CONFIG_SUPPORT_CONTROL_FRAMEWORK is not set
#

228
Ubiquitous/RT_Thread/bsp/k210/.gitignore vendored Normal file
View File

@ -0,0 +1,228 @@
# this
*.old
*.dblite
cconfig.h
*.bin
*.map
# rtconfig.h
# .config
# General
.DS_Store
.AppleDouble
.LSOverride
# Icon must end with two \r
Icon
# Thumbnails
._*
# Files that might appear in the root of a volume
.DocumentRevisions-V100
.fseventsd
.Spotlight-V100
.TemporaryItems
.Trashes
.VolumeIcon.icns
.com.apple.timemachine.donotpresent
# Directories potentially created on remote AFP share
.AppleDB
.AppleDesktop
Network Trash Folder
Temporary Items
.apdisk
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# Prerequisites
*.d
# Object files
*.o
*.ko
*.obj
*.elf
# Linker output
*.ilk
*.map
*.exp
# Precompiled Headers
*.gch
*.pch
# Libraries
*.lib
*.a
*.la
*.lo
# Shared objects (inc. Windows DLLs)
*.dll
*.so
*.so.*
*.dylib
# Executables
*.exe
*.out
*.app
*.i*86
*.x86_64
*.hex
# Debug files
*.dSYM/
*.su
*.idb
*.pdb
# Kernel Module Compile Results
*.mod*
*.cmd
.tmp_versions/
modules.order
Module.symvers
Mkfile.old
dkms.con

View File

@ -59,6 +59,7 @@ objs.extend(SConscript(os.getcwd() + '/../../../../APP_Framework/Framework/SCons
# include APP_Framework/Applications
objs.extend(SConscript(os.getcwd() + '/../../../../APP_Framework/Applications/SConscript'))
# include APP_Framework/lib
objs.extend(SConscript(os.getcwd() + '/../../../../APP_Framework/lib/SConscript'))
# make a building
DoBuilding(TARGET, objs)

View File

@ -67,7 +67,7 @@ static rt_err_t rt_dvp_init(rt_device_t dev)
dvp_set_output_enable(0, 1);
dvp_set_output_enable(1, 1);
dvp_set_image_format(DVP_CFG_RGB_FORMAT);////////////////
dvp_set_image_size(320, 240);
dvp_set_image_size(320, 240); // default
dvp_config_interrupt(DVP_CFG_FINISH_INT_ENABLE, 0);
dvp_disable_auto();
plic_set_priority(IRQN_DVP_INTERRUPT, 1);

View File

@ -160,6 +160,8 @@
/* POSIX layer and C standard library */
#define RT_USING_LIBC
#define RT_USING_PTHREADS
#define PTHREAD_NUM_MAX 8
#define RT_USING_POSIX
#define RT_LIBC_FIXED_TIMEZONE 8
@ -254,7 +256,26 @@
#define BSP_SPI1_SS0_PIN 29
#define BSP_SPI1_USING_SS1
#define BSP_SPI1_SS1_PIN 8
#define BSP_USING_LCD
#define BSP_LCD_CS_PIN 36
#define BSP_LCD_WR_PIN 39
#define BSP_LCD_DC_PIN 38
#define BSP_LCD_RST_PIN 37
#define BSP_LCD_X_MAX 240
#define BSP_LCD_Y_MAX 320
#define BSP_USING_SDCARD
#define BSP_USING_DVP
/* The default pin assignment is based on the Maix Duino K210 development board */
#define BSP_DVP_SCCB_SDA_PIN 40
#define BSP_DVP_SCCB_SCLK_PIN 41
#define BSP_DVP_CMOS_RST_PIN 42
#define BSP_DVP_CMOS_VSYNC_PIN 43
#define BSP_DVP_CMOS_PWDN_PIN 44
#define BSP_DVP_CMOS_XCLK_PIN 46
#define BSP_DVP_CMOS_PCLK_PIN 47
#define BSP_DVP_CMOS_HREF_PIN 45
/* Kendryte SDK Config */
@ -262,6 +283,7 @@
/* More Drivers */
#define DRV_USING_OV2640
/* APP_Framework */
@ -281,6 +303,7 @@
/* knowing app */
#define FACE_DETECT
/* sensor app */
@ -289,7 +312,10 @@
#define TRANSFORM_LAYER_ATTRIUBUTE
#define ADD_XIUOS_FETURES
#define SUPPORT_SENSOR_FRAMEWORK
#define SUPPORT_KNOWING_FRAMEWORK
#define USING_KPU_POSTPROCESSING
#define USING_YOLOV2
/* app lib */

View File

@ -356,6 +356,7 @@ CONFIG_MAIN_KTASK_STACK_SIZE=1024
#
# knowing app
#
CONFIG_IRIS_ML_DEMO=y
#
# sensor app
@ -378,10 +379,13 @@ CONFIG_SUPPORT_SENSOR_FRAMEWORK=y
# CONFIG_SUPPORT_CONNECTION_FRAMEWORK is not set
CONFIG_SUPPORT_KNOWING_FRAMEWORK=y
# CONFIG_USING_TENSORFLOWLITEMICRO is not set
CONFIG_USING_KPU_POSTPROCESSING=y
# CONFIG_USING_YOLOV2 is not set
# CONFIG_SUPPORT_CONTROL_FRAMEWORK is not set
#
# app lib
# lib
#
CONFIG_APP_SELECT_NEWLIB=y
# CONFIG_APP_SELECT_OTHER_LIB is not set
# CONFIG_LIB_USING_CJSON is not set

View File

@ -1,30 +1,19 @@
*.pyc
# this
*.map
*.dblite
*.elf
*.bin
*.hex
*.axf
*.exe
*.pdb
*.idb
*.ilk
*.old
*~
*.o
*.obj
*.out
*.bak
*.dep
*.lib
*.i
*.d
.DS_Stor*
*.uimg
GPATH
GRTAGS
GTAGS
.vscode
JLinkLog.txt
JLinkSettings.ini
DebugConfig/
@ -32,3 +21,223 @@ RTE/
settings/
*.uvguix*
cconfig.h
# General
.DS_Store
.AppleDouble
.LSOverride
# Icon must end with two \r
Icon
# Thumbnails
._*
# Files that might appear in the root of a volume
.DocumentRevisions-V100
.fseventsd
.Spotlight-V100
.TemporaryItems
.Trashes
.VolumeIcon.icns
.com.apple.timemachine.donotpresent
# Directories potentially created on remote AFP share
.AppleDB
.AppleDesktop
Network Trash Folder
Temporary Items
.apdisk
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# Prerequisites
*.d
# Object files
*.o
*.ko
*.obj
*.elf
# Linker output
*.ilk
*.map
*.exp
# Precompiled Headers
*.gch
*.pch
# Libraries
*.lib
*.a
*.la
*.lo
# Shared objects (inc. Windows DLLs)
*.dll
*.so
*.so.*
*.dylib
# Executables
*.exe
*.out
*.app
*.i*86
*.x86_64
*.hex
# Debug files
*.dSYM/
*.su
*.idb
*.pdb
# Kernel Module Compile Results
*.mod*
*.cmd
.tmp_versions/
modules.order
Module.symvers
Mkfile.old
dkms.con

View File

@ -81,6 +81,7 @@ objs.extend(SConscript(os.getcwd() + '/../../../../APP_Framework/Framework/SCons
# include APP_Framework/Applications
objs.extend(SConscript(os.getcwd() + '/../../../../APP_Framework/Applications/SConscript'))
# include APP_Framework/lib
objs.extend(SConscript(os.getcwd() + '/../../../../APP_Framework/lib/SConscript'))
# make a building
DoBuilding(TARGET, objs)

View File

@ -201,6 +201,8 @@
/* knowing app */
#define IRIS_ML_DEMO
/* sensor app */
@ -210,8 +212,9 @@
#define ADD_XIUOS_FETURES
#define SUPPORT_SENSOR_FRAMEWORK
#define SUPPORT_KNOWING_FRAMEWORK
#define USING_KPU_POSTPROCESSING
/* app lib */
/* lib */
#define APP_SELECT_NEWLIB

View File

@ -17,7 +17,7 @@ if os.getenv('RTT_ROOT'):
# EXEC_PATH is the compiler execute path, for example, CodeSourcery, Keil MDK, IAR
if CROSS_TOOL == 'gcc':
PLATFORM = 'gcc'
EXEC_PATH = r'/usr/local/Cellar/gcc-arm-none-eabi/20180627/bin'
EXEC_PATH = r'/opt/gcc-arm-none-eabi-7-2018-q2-update/bin'
elif CROSS_TOOL == 'keil':
PLATFORM = 'armcc'
EXEC_PATH = r'C:/Keil_v5'

View File

@ -1467,20 +1467,31 @@ static rt_err_t rt_ov2640_control(rt_device_t dev, int cmd, void *args)
{
RT_ASSERT(dev != RT_NULL);
rt_err_t ret = RT_EOK;
if(cmd < IOCTRL_CAMERA_START_SHOT || cmd > IOCTRL_CAMERA_SET_EXPOSURE)
if(cmd < IOCTRL_CAMERA_SET_DVP_RESO || cmd > IOCTRL_CAMERA_SET_EXPOSURE)
{
LOG_E("CMD value should be 22 ~29");
return RT_ERROR;
}
}
int value = 0;
_ioctl_shoot_para shoot_para = {0};
#ifdef BOARD_K210_EVB
_ioctl_set_dvp_reso set_dvp_reso = {0};
#endif
if(IOCTRL_CAMERA_START_SHOT == cmd)
{
shoot_para = *((_ioctl_shoot_para*)args);
ret = rt_ov2640_start_shoot(shoot_para.pdata,shoot_para.length);
return ret;
}
#ifdef BOARD_K210_EVB
else if(IOCTRL_CAMERA_SET_DVP_RESO == cmd)
{
set_dvp_reso =*((_ioctl_set_dvp_reso*)args);
dvp_set_image_size(set_dvp_reso.width, set_dvp_reso.height);
return RT_EOK;
}
#endif
else
{
value = *((int*)args);

View File

@ -123,9 +123,9 @@ extern "C" {
#define OV2640_SENSOR_HISTO_LOW 0x61
#define OV2640_SENSOR_HISTO_HIGH 0x62
#ifdef BOARD_K210_EVB
#define IOCTRL_CAMERA_SET_DVP_RESO (21) // set dev resolution
#endif
#define IOCTRL_CAMERA_START_SHOT (22) // start shoot
#define IOCTRL_CAMERA_SET_RESO (23) //set resolution
@ -136,6 +136,14 @@ extern "C" {
#define IOCTRL_CAMERA_SET_EFFECT (28) //set effect
#define IOCTRL_CAMERA_SET_EXPOSURE (29) //set auto exposure
#ifdef BOARD_K210_EVB
typedef struct
{
uint32_t width; // width The width of image
uint32_t height; // height The height of image
}_ioctl_set_dvp_reso;
#endif
struct camera_device
{