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opencv webcam script

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13339479676 2021-12-29 10:51:27 +08:00
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*.jpg
*.jpeg
*.png
*.mp4

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# :fire: OpenCV Webcam 脚本
### :zap: 使用
#### :bulb: 常规调用
```shell
# 默认按q键退出
python opencv-webcam.py
```
#### :bulb: 设置退出键
```shell
# 默认按q键退出
# 设置z键退出
python opencv-webcam.py -q z
# 设置k键退出
python opencv-webcam.py -q k
```
#### :bulb: 自动保存帧
```shell
python opencv-webcam.py -isasf
```
#### :bulb: 每隔n帧保存一次帧
```shell
# 每隔10帧保存一次帧
python opencv-webcam.py -isasf -fns 10
```
#### :bulb: 手动保存帧
```shell
# 默认按a键捕获一帧
python opencv-webcam.py -ishsf
```
#### :bulb: 自定义捕获键
```shell
# 设置z键为捕获键
python opencv-webcam.py -ishsf -fck z
```
#### :bulb: 重塑帧尺寸（自定义宽高）
```shell
# 重塑宽度300 高度200
# 自动版
python opencv-webcam.py -isasf -isrf -rf 300 200
# 手动版
python opencv-webcam.py -ishsf -isrf -rf 300 200
```
#### :bulb: 重塑帧尺寸（自定义宽高缩放比）
```shell
# 宽高缩放比为0.5
# 自动版
python opencv-webcam.py -isasf -isrf -rrf 0.5
# 手动版
python opencv-webcam.py -ishsf -isrf -rrf 0.5
```
### :bulb: 设置保存路径
```shell
# 设置保存路径，默认保存路径为./WebcamFrame
python opencv-webcam.py -fsd custom_dir -isasf # 以自动版为例
```

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# OpenCV Webcam 脚本
# 创建人：曾逸夫
# 创建时间：2021-12-26
import cv2
from pathlib import Path
import argparse
import time
import os
import glob
import re
import os
def parse_args(argv=None):
parser = argparse.ArgumentParser(description = 'OpenCV Webcam Script')
parser.add_argument('--device','-dev', default = 0, type = int, help = 'device index for webcam')
parser.add_argument('--quit','-q', default = "q", type = str, help = 'quit key for webcam')
parser.add_argument('--is_autoSaveFrame', '-isasf', action='store_true', help = 'is auto save frame')
parser.add_argument('--is_headSaveFrame', '-ishsf', action='store_true', help = 'is head save frame')
parser.add_argument('--is_resizeFrame', '-isrf', action='store_true', help = 'is resize frame')
parser.add_argument('--frame_saveDir', '-fsd', default = "./WebcamFrame", type = str, help = 'save frame dir')
parser.add_argument('--frame_nSave', '-fns', default = 1, type = int, help = 'n frames save a frame (auto save frame)')
parser.add_argument('--frame_capKey', '-fck', default = "a", type = str, help = 'frame capture key (head save frame)')
parser.add_argument('--resize_frame', '-rf', default = [640, 480], type = int, nargs = '+', help = 'resize frame save')
parser.add_argument('--resizeRatio_frame', '-rrf', default = 1.0, type = float, help = 'resize ratio frame save')
global args
args = parser.parse_args(argv)
# 保存路径管理
def increment_path(path, exist_ok=False, sep='', mkdir=False):
# 引用：https://github.com/ultralytics/yolov5/blob/master/utils/general.py
path = Path(path) # os-agnostic
if path.exists() and not exist_ok:
suffix = path.suffix
path = path.with_suffix('')
dirs = glob.glob(f"{path}{sep}*") # similar paths
matches = [re.search(rf"%s{sep}(\d+)" % path.stem, d) for d in dirs]
i = [int(m.groups()[0]) for m in matches if m] # indices
n = max(i) + 1 if i else 2 # increment number
path = Path(f"{path}{sep}{n}{suffix}") # update path
dir = path if path.suffix == '' else path.parent # directory
if not dir.exists() and mkdir:
dir.mkdir(parents=True, exist_ok=True) # make directory
return path
# webcam opencv
def webcam_opencv(device_index, quit_key, is_autoSaveFrame, frame_saveDir, frame_nSave, is_headSaveFrame, frame_capKey, is_resizeFrame, resize_frame, resizeRatio_frame):
cap = cv2.VideoCapture(device_index) # 连接设备
frame_width = cap.get(3) # 宽度
frame_height = cap.get(4) # 高度
fps = cap.get(5) # 帧率
print(f'宽度：{frame_width}, 高度：{frame_height}， FPS：{fps}')
success, _ = cap.read() # 读取设备
if success:
print(f'摄像头连接成功！')
if is_autoSaveFrame or is_headSaveFrame:
# 帧保存路径管理
frame_samePath = increment_path(Path(f"{frame_saveDir}") / "frames", exist_ok=False) # increment run
frame_samePath.mkdir(parents=True, exist_ok=True) # make dir
frame_num = 0 # 帧数
while(1):
ret, frame = cap.read() # 捕获画面
frame_num += 1
print(f'第{frame_num}帧')
cv2.imshow("capture", frame) # 显示画面
# print(frame.shape) # h,w,c
if (is_autoSaveFrame): # 自动保存
if (frame_num % frame_nSave == 0): # 每隔n帧保存一次
if (is_resizeFrame): # resize frame
w_resize = int(resize_frame[0] * resizeRatio_frame) # 重塑宽度
h_resize = int(resize_frame[1] * resizeRatio_frame) # 重塑高度
frame_new = cv2.resize(frame, (w_resize, h_resize), interpolation = cv2.INTER_AREA) # 重塑
cv2.imwrite(f'./{frame_samePath}/{frame_num}.jpg', frame_new)
else:
cv2.imwrite(f'./{frame_samePath}/{frame_num}.jpg', frame)
if (is_headSaveFrame): # 手动保存
if cv2.waitKey(20) & 0xFF == ord(frame_capKey): # 保存键
if (is_resizeFrame): # 重塑
w_resize = int(resize_frame[0] * resizeRatio_frame)
h_resize = int(resize_frame[1] * resizeRatio_frame)
frame_new = cv2.resize(frame, (w_resize, h_resize), interpolation = cv2.INTER_AREA)
cv2.imwrite(f'./{frame_samePath}/{frame_num}.jpg', frame_new)
else:
cv2.imwrite(f'./{frame_samePath}/{frame_num}.jpg', frame)
if cv2.waitKey(20) & 0xFF == ord(quit_key): # 退出 ord：字符转ASCII码
break
print(f'一共处理了{frame_num}帧')
# 释放缓存
cap.release()
cv2.destroyAllWindows()
else:
print(f'摄像头连接异常！')
if __name__ == '__main__':
parse_args()
device_index = args.device
quit_key = args.quit
is_autoSaveFrame = args.is_autoSaveFrame
is_headSaveFrame = args.is_headSaveFrame
frame_saveDir = args.frame_saveDir
frame_nSave = args.frame_nSave
frame_capKey = args.frame_capKey
resize_frame = args.resize_frame
is_resizeFrame = args.is_resizeFrame
resizeRatio_frame = args.resizeRatio_frame
# 判断快捷键冲突
if (quit_key == frame_capKey):
print(f'快捷键冲突!')
else:
webcam_opencv(device_index, quit_key, is_autoSaveFrame, frame_saveDir, frame_nSave, is_headSaveFrame, frame_capKey, is_resizeFrame, resize_frame, resizeRatio_frame)
print(f'程序结束！')