if __name__ == '__main__':
video_path='path2your-video'
yolo = YOLO()
vid = cv2.VideoCapture(video_path)
if not vid.isOpened():
raise IOError("Couldn't open webcam or video")
accum_time = 0
curr_fps = 0
fps = "FPS: ??"
prev_time = timer()
while True:
return_value, frame = vid.read()
image = Image.fromarray(frame)
image = yolo.detect_image(image)
result = np.asarray(image)
curr_time = timer()
exec_time = curr_time - prev_time
prev_time = curr_time
accum_time = accum_time + exec_time
curr_fps = curr_fps + 1
if accum_time > 1:
accum_time = accum_time - 1
fps = "FPS: " + str(curr_fps)
curr_fps = 0
cv2.putText(result, text=fps, org=(3, 15), fontFace=cv2.FONT_HERSHEY_SIMPLEX,
fontScale=0.50, color=(255, 0, 0), thickness=2)
cv2.namedWindow("result_evaluate", cv2.WINDOW_NORMAL)
cv2.imshow("result_evaluate", result)
if cv2.waitKey(1) & 0xFF == ord('q'):
hue_value = (i * 70 % 180, 255, 255)
color_value = (255, 255, 0)
cv2.rectangle(result, (trace_box.left, trace_box.top),
(trace_box.right, trace_box.bottom), color_value, 2)
# result = cv2.cvtColor(result, cv2.COLOR_HSV2RGB)
cv2.imshow('result', result)
# if args.save_video:
# out.write(result)
trace_boxes_database.print_boxes(args.input, args.output)
cv2.waitKey(0)
break
image = Image.fromarray(frame)
# Run detection
image, return_boxes = yolo.detect_image(image)
result = np.asarray(image)
trace_boxes_database.update(return_boxes)
# result = cv2.cvtColor(result, cv2.COLOR_RGB2HSV)
# 色々描画
for j, trace_box in enumerate(trace_boxes_database.trace_boxes):
if j == 0:
continue
dir_name = f'{os.path.basename(args.input)}_{j}'
os.makedirs(dir_name, exist_ok=True)
number = len(os.listdir(dir_name))