support directory predict
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5d24736a62
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@ -44,6 +44,9 @@ public:
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inline static size_t argmax(ForwardIterator first, ForwardIterator last) {
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return std::distance(first, std::max_element(first, last));
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}
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static void GetAllFiles(const char *dir_name,
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std::vector<std::string> &all_inputs);
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};
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} // namespace PaddleOCR
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@ -27,9 +27,12 @@
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#include <fstream>
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#include <numeric>
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#include <glog/logging.h>
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#include <include/config.h>
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#include <include/ocr_det.h>
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#include <include/ocr_rec.h>
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#include <include/utility.h>
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#include <sys/stat.h>
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using namespace std;
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using namespace cv;
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@ -47,13 +50,9 @@ int main(int argc, char **argv) {
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config.PrintConfigInfo();
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std::string img_path(argv[2]);
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cv::Mat srcimg = cv::imread(img_path, cv::IMREAD_COLOR);
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if (!srcimg.data) {
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std::cerr << "[ERROR] image read failed! image path: " << img_path << "\n";
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exit(1);
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}
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std::vector<std::string> all_img_names;
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// cv::Mat srcimg = cv::imread(img_path, cv::IMREAD_COLOR);
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Utility::GetAllFiles((char *)img_path.c_str(), all_img_names);
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DBDetector det(config.det_model_dir, config.use_gpu, config.gpu_id,
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config.gpu_mem, config.cpu_math_library_num_threads,
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@ -76,18 +75,35 @@ int main(int argc, char **argv) {
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config.use_tensorrt, config.use_fp16);
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auto start = std::chrono::system_clock::now();
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std::vector<std::vector<std::vector<int>>> boxes;
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det.Run(srcimg, boxes);
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rec.Run(boxes, srcimg, cls);
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auto end = std::chrono::system_clock::now();
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auto duration =
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std::chrono::duration_cast<std::chrono::microseconds>(end - start);
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std::cout << "Cost "
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<< double(duration.count()) *
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std::chrono::microseconds::period::num /
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std::chrono::microseconds::period::den
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<< "s" << std::endl;
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for (auto img_dir : all_img_names) {
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LOG(INFO) << "The predict img: " << img_dir;
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cv::Mat srcimg = cv::imread(img_dir, cv::IMREAD_COLOR);
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if (!srcimg.data) {
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std::cerr << "[ERROR] image read failed! image path: " << img_path
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<< "\n";
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exit(1);
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}
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std::vector<std::vector<std::vector<int>>> boxes;
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det.Run(srcimg, boxes);
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// for (auto box : boxes){
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// std::cout << "box: " << box[0][0] << " " << box[0][1] << " "
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// << box[1][0] << " " << box[1][1] << " "
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// << box[2][0] << " " << box[2][1] << " "
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// << box[3][0] << " " << box[3][1] << " " << std::endl;
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// }
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rec.Run(boxes, srcimg, cls);
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auto end = std::chrono::system_clock::now();
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auto duration =
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std::chrono::duration_cast<std::chrono::microseconds>(end - start);
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std::cout << "Cost "
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<< double(duration.count()) *
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std::chrono::microseconds::period::num /
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std::chrono::microseconds::period::den
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<< "s" << std::endl;
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}
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return 0;
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}
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@ -88,6 +88,10 @@ void CRNNRecognizer::Run(std::vector<std::vector<std::vector<int>>> boxes,
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std::cout << str_res[i];
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}
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std::cout << "\tscore: " << score << std::endl;
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auto box = boxes[i];
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std::cout << "box: " << box[0][0] << " " << box[0][1] << " " << box[1][0]
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<< " " << box[1][1] << " " << box[2][0] << " " << box[2][1]
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<< " " << box[3][0] << " " << box[3][1] << " " << std::endl;
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}
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}
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@ -12,12 +12,14 @@
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <dirent.h>
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#include <include/utility.h>
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#include <iostream>
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#include <ostream>
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#include <sys/stat.h>
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#include <sys/types.h>
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#include <vector>
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#include <include/utility.h>
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namespace PaddleOCR {
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std::vector<std::string> Utility::ReadDict(const std::string &path) {
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@ -57,4 +59,37 @@ void Utility::VisualizeBboxes(
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<< std::endl;
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}
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// list all files under a directory
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void Utility::GetAllFiles(const char *dir_name,
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std::vector<std::string> &all_inputs) {
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if (NULL == dir_name) {
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std::cout << " dir_name is null ! " << std::endl;
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return;
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}
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struct stat s;
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lstat(dir_name, &s);
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if (!S_ISDIR(s.st_mode)) {
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std::cout << "dir_name is not a valid directory !" << std::endl;
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all_inputs.push_back(dir_name);
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return;
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} else {
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struct dirent *filename; // return value for readdir()
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DIR *dir; // return value for opendir()
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dir = opendir(dir_name);
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if (NULL == dir) {
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std::cout << "Can not open dir " << dir_name << std::endl;
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return;
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}
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std::cout << "Successfully opened the dir !" << std::endl;
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while ((filename = readdir(dir)) != NULL) {
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if (strcmp(filename->d_name, ".") == 0 ||
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strcmp(filename->d_name, "..") == 0)
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continue;
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// img_dir + std::string("/") + all_inputs[0];
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all_inputs.push_back(dir_name + std::string("/") +
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std::string(filename->d_name));
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}
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}
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}
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} // namespace PaddleOCR
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@ -1,7 +1,9 @@
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OPENCV_DIR=your_opencv_dir
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LIB_DIR=your_paddle_inference_dir
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CUDA_LIB_DIR=your_cuda_lib_dir
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CUDNN_LIB_DIR=your_cudnn_lib_dir
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OPENCV_DIR=/paddle/Paddle/opencv-3.4.7/opencv3
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LIB_DIR=/paddle/OCR/debug/paddle_inference
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#LIB_DIR=/paddle/Paddle/inference/2.0.2/paddle_inference
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CUDA_LIB_DIR=/usr/local/cuda/lib64
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CUDNN_LIB_DIR=/usr/lib/x86_64-linux-gnu
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TENSORRT_DIR=/paddle/Paddle/package/TensorRT/TensorRT-6.0.1.5/
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BUILD_DIR=build
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rm -rf ${BUILD_DIR}
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@ -12,9 +14,10 @@ cmake .. \
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-DWITH_MKL=ON \
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-DWITH_GPU=OFF \
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-DWITH_STATIC_LIB=OFF \
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-DUSE_TENSORRT=OFF \
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-DWITH_TENSORRT=ON \
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-DOPENCV_DIR=${OPENCV_DIR} \
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-DCUDNN_LIB=${CUDNN_LIB_DIR} \
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-DCUDA_LIB=${CUDA_LIB_DIR} \
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-DTENSORRT_DIR=${TENSORRT_DIR} \
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make -j
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@ -1,5 +1,5 @@
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# model load config
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use_gpu 0
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use_gpu 1
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gpu_id 0
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gpu_mem 4000
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cpu_math_library_num_threads 10
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@ -20,10 +20,10 @@ cls_thresh 0.9
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# rec config
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rec_model_dir ./inference/ch_ppocr_mobile_v2.0_rec_infer/
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char_list_file ../../ppocr/utils/ppocr_keys_v1.txt
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char_list_file ../../ppocr/utils/ppocr_keys_v1.txt
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# show the detection results
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visualize 1
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visualize 0
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# use_tensorrt
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use_tensorrt 0
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@ -1,2 +1,2 @@
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./build/ocr_system ./tools/config.txt ../../doc/imgs/12.jpg
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./build/ocr_system ./tools/config.txt ../../doc/imgs/
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