import time

import cv2
import numpy as np
from PIL import Image

from yolo import YOLO

yolo = YOLO()

capture = cv2.VideoCapture(0)
# 1 就是外接摄像头 0 就是自己的摄像头
ref, frame = capture.read()
fps = 0.0
while (True):
    t1 = time.time()
    # 读取某一帧
    ref, frame = capture.read()
    if not ref:
        break
    # 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)

    cv2.imshow("video", frame)
    c = cv2.waitKey(1) & 0xff
    # print(c)
    if c == 113:
        capture.release()
        break

capture.release()
cv2.destroyAllWindows()