182 lines
7.9 KiB
Python
182 lines
7.9 KiB
Python
# OpenCV Webcam Script v0.2
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# 创建人：曾逸夫
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# 创建时间：2022-01-02
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import cv2
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from pathlib import Path
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import argparse
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import time
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import glob
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import os
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from utils.ows_path import increment_path
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def parse_args(known=False):
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parser = argparse.ArgumentParser(description='OpenCV Webcam Script')
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parser.add_argument('--device', '-dev', default=0,
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type=int, help='device index for webcam')
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parser.add_argument('--quit', '-q', default="q",
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type=str, help='quit key for webcam')
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parser.add_argument('--is_autoSaveFrame', '-isasf',
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action='store_true', help='is auto save frame')
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parser.add_argument('--is_handSaveFrame', '-ishsf',
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action='store_true', help='is hand save frame')
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parser.add_argument('--is_resizeFrame', '-isrf',
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action='store_true', help='is resize frame')
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parser.add_argument('--frame_saveDir', '-fsd',
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default="./WebcamFrame", type=str, help='save frame dir')
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parser.add_argument('--frame_nSave', '-fns', default=1,
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type=int, help='n frames save a frame (auto save frame)')
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parser.add_argument('--frame_capKey', '-fck', default="a",
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type=str, help='frame capture key (hand save frame)')
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parser.add_argument('--resize_frame', '-rf',
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default=[640, 480], type=int, nargs='+', help='resize frame save')
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parser.add_argument('--resizeRatio_frame', '-rrf',
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default=1.0, type=float, help='resize ratio frame save')
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parser.add_argument('--frame_namePrefix', '-fnp',
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default="frame", type=str, help='frame name prefix')
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parser.add_argument('--frame_saveStyle', '-fss',
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default="jpg", type=str, help='frame save style')
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parser.add_argument('--jpg_quality', '-jq',
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default=95, type=int, help='frame save jpg quality (0-100) default 95')
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parser.add_argument('--png_quality', '-pq',
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default=3, type=int, help='frame save jpg quality (0-9) default 3')
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parser.add_argument('--pause', '-p',
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default="p", type=str, help='webcam pause')
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args = parser.parse_known_args()[0] if known else parser.parse_args()
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return args
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# 帧保存
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def frame_opt(frame, frame_savePath, frame_num, is_resizeFrame, resize_frame, resizeRatio_frame,
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frame_namePrefix, frame_saveStyle, jpg_quality, png_quality):
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# 判断图片质量范围
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if (jpg_quality < 0 or jpg_quality > 100):
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print(f'JPG质量系数超出范围！无法保存！')
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return
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if (png_quality < 0 or png_quality > 9):
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print(f'PNG质量系数超出范围！无法保存！')
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return
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if (is_resizeFrame): # resize frame
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w_resize = int(
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resize_frame[0] * resizeRatio_frame) # 重塑宽度
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h_resize = int(
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resize_frame[1] * resizeRatio_frame) # 重塑高度
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frame_new = cv2.resize(
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frame, (w_resize, h_resize), interpolation=cv2.INTER_AREA) # 重塑
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if (frame_saveStyle == 'jpg'):
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cv2.imwrite(
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f'./{frame_savePath}/{frame_namePrefix}-{frame_num}.{frame_saveStyle}', frame_new,
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[int(cv2.IMWRITE_JPEG_QUALITY), jpg_quality])
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elif (frame_saveStyle == 'png'):
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cv2.imwrite(
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f'./{frame_savePath}/{frame_namePrefix}-{frame_num}.{frame_saveStyle}', frame_new,
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[int(cv2.IMWRITE_PNG_COMPRESSION), png_quality])
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else:
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print(f'帧格式有问题！无法保存！')
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return
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else:
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if (frame_saveStyle == 'jpg'):
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cv2.imwrite(
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f'./{frame_savePath}/{frame_namePrefix}-{frame_num}.{frame_saveStyle}', frame,
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[int(cv2.IMWRITE_JPEG_QUALITY), jpg_quality])
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elif (frame_saveStyle == 'png'):
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cv2.imwrite(
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f'./{frame_savePath}/{frame_namePrefix}-{frame_num}.{frame_saveStyle}', frame,
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[int(cv2.IMWRITE_PNG_COMPRESSION), png_quality])
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else:
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print(f'帧格式有问题！无法保存！')
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return
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# Webcam OpenCV
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def webcam_opencv(device_index, quit_key, pause_key, is_autoSaveFrame, frame_saveDir, frame_nSave, is_handSaveFrame,
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frame_capKey, is_resizeFrame, resize_frame, resizeRatio_frame, frame_namePrefix, frame_saveStyle,
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jpg_quality, png_quality):
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if (quit_key == frame_capKey): # 判断快捷键冲突
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print(f'快捷键冲突! 程序结束！')
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return
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s_time = time.time() # 起始时间
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cap = cv2.VideoCapture(device_index) # 连接设备
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frame_width = cap.get(3) # 宽度
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frame_height = cap.get(4) # 高度
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fps = cap.get(5) # 帧率
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print(f'宽度：{frame_width}, 高度：{frame_height}， FPS：{fps}')
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success, _ = cap.read() # 读取设备
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if success: # 连接设备成功
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print(f'摄像头连接成功！')
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if is_autoSaveFrame or is_handSaveFrame:
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# 帧保存路径管理
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frame_savePath = increment_path(
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Path(f"{frame_saveDir}") / "frames", exist_ok=False) # 增量运行
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frame_savePath.mkdir(parents=True, exist_ok=True) # 创建目录
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frame_num = 0 # 帧数
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ows_version = 'OpenCV Webcam Script v0.2' # 版本号
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while(1):
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wait_key = cv2.waitKey(20) & 0xFF # 键盘监听
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ret, frame = cap.read() # 捕获画面
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frame_num += 1 # 帧计数
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print(f'当前帧：第{frame_num}帧') # 输出信息
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cv2.imshow(ows_version, frame) # 显示画面
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if (is_autoSaveFrame): # 自动保存
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if (frame_num % frame_nSave == 0): # 每隔n帧保存一次
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frame_opt(frame, frame_savePath, frame_num, is_resizeFrame, resize_frame, resizeRatio_frame,
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frame_namePrefix, frame_saveStyle, jpg_quality, png_quality)
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if (is_handSaveFrame): # 手动保存
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if wait_key == ord(frame_capKey): # 保存键
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frame_opt(frame, frame_savePath, frame_num, is_resizeFrame, resize_frame, resizeRatio_frame,
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frame_namePrefix, frame_saveStyle, jpg_quality, png_quality)
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if wait_key == ord(quit_key): # 退出 ord：字符转ASCII码
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break
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if wait_key == ord(pause_key):
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print(f'已暂停！按任意键继续。。。')
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cv2.waitKey(0) # 暂停，按任意键继续
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print(f'一共处理了{frame_num}帧')
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# 释放缓存
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cap.release()
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cv2.destroyAllWindows()
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else: # 连接设备失败
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print(f'摄像头连接异常！')
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print(f'程序结束！')
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e_time = time.time() # 终止时间
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print(f'用时：{round((e_time - s_time), 3)}秒, {round((e_time - s_time)/60, 3)}分, {round((e_time - s_time)/3600, 3)}小时')
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def main(args):
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device_index = args.device
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quit_key = args.quit
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is_autoSaveFrame = args.is_autoSaveFrame
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is_handSaveFrame = args.is_handSaveFrame
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frame_saveDir = args.frame_saveDir
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frame_nSave = args.frame_nSave
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frame_capKey = args.frame_capKey
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resize_frame = args.resize_frame
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is_resizeFrame = args.is_resizeFrame
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resizeRatio_frame = args.resizeRatio_frame
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frame_namePrefix = args.frame_namePrefix
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frame_saveStyle = args.frame_saveStyle
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jpg_quality = args.jpg_quality
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png_quality = args.png_quality
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pause_key = args.pause
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# 调用webcam opencv
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webcam_opencv(device_index, quit_key, pause_key, is_autoSaveFrame, frame_saveDir, frame_nSave,
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is_handSaveFrame, frame_capKey, is_resizeFrame, resize_frame, resizeRatio_frame,
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frame_namePrefix, frame_saveStyle, jpg_quality, png_quality)
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if __name__ == '__main__':
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args = parse_args()
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main(args)
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