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video.py
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video.py
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# -------------------------------------#
# 调用摄像头检测
# -------------------------------------#
from yolo import YOLO
from PIL import Image
import numpy as np
import cv2
import time
yolo = YOLO()
# 调用摄像头
# capture = cv2.VideoCapture(0) #
capture = cv2.VideoCapture("./video/test_car.mp4")
fps = 0.0
fourcc = cv2.VideoWriter_fourcc(*'XVID')
# fourcc = cv2.VideoWriter_fourcc(*'mpv4')
out = cv2.VideoWriter('./video/out_car.avi', fourcc, 60.0, (960, 540))
while (True):
t1 = time.time()
# 读取某一帧
ref, frame = capture.read()
if ref == False:
break
else:
# 格式转变,BGRtoRGB
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
# 转变成Image
frame = Image.fromarray(np.uint8(frame))
# 进行检测
frame = np.array(yolo.detect_image(frame))
# RGBtoBGR满足opencv显示格式
frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
fps = (fps + (1. / (time.time() - t1))) / 2
print("fps= %.2f" % (fps))
frame = cv2.putText(frame, "fps= %.2f" % (fps), (0, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
frame = cv2.resize(frame, (960, 540))
out.write(frame)
cv2.imshow("video", frame)
c = cv2.waitKey(30) & 0xff
if c == 27:
capture.release()
break