# coding=gbk
import time
import cv2
cap = cv2.VideoCapture(0) # 读取文件
start_time = time.time()
counter = 0
# 获取视频宽度
frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
# 获取视频高度
frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = cap.get(cv2.CAP_PROP_FPS) #视频平均帧率
print(fps)
while (True):
ret, frame = cap.read()
# 键盘输入空格暂停,输入q退出
key = cv2.waitKey(1) & 0xff
if key == ord(" "):
cv2.waitKey(0)
if key == ord("q"):
break
counter += 1 # 计算帧数
if (time.time() - start_time) != 0: # 实时显示帧数
cv2.putText(frame, "FPS {0}".format(float('%.1f' % (counter / (time.time() - start_time)))), (30, 50),
cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255),
2)
# src = cv2.resize(frame, (frame_width // 2, frame_height // 2), interpolation=cv2.INTER_CUBIC) # 窗口大小
cv2.imshow('frame', frame)
print("FPS: ", counter / (time.time() - start_time))
counter = 0
start_time = time.time()
# time.sleep(1 / fps) # 按原帧率播放
cap.release()
cv2.destroyAllWindows()
opencv-python 测试FPS
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转载自blog.csdn.net/qq_42102546/article/details/123084313
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