import cv2
import time

cap = cv2.VideoCapture(1)
cap.set(6,cv2.VideoWriter.fourcc('M','J','P','G'))

cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)

ret, frame = cap.read()
cv2.imwrite(str(time.time()) + '.jpg', frame)



# def SetPoints(windowname, img):
#     """
#     输入图片，打开该图片进行标记点，返回的是标记的几个点的字符串
#     """
#     print('(提示：单击需要标记的坐标，Enter确定，Esc跳过，其它重试。)')
#     points = []

#     def onMouse(event, x, y, flags, param):
#         if event == cv2.EVENT_LBUTTONDOWN:
#             cv2.circle(temp_img, (x, y), 10, (102, 217, 239), -1)
#             points.append([x, y])
#             cv2.imshow(windowname, temp_img)

#     temp_img = img.copy()
#     cv2.namedWindow(windowname)
#     cv2.imshow(windowname, temp_img)
#     cv2.setMouseCallback(windowname, onMouse)
#     key = cv2.waitKey(0)
#     if key == 13:  # Enter
#         print('坐标为：', points)
#         del temp_img
#         cv2.destroyAllWindows()
#         return str(points)
#     elif key == 27:  # ESC
#         print('跳过该张图片')
#         del temp_img
#         cv2.destroyAllWindows()
#         return
#     else:
#         print('重试!')
#         return SetPoints(windowname, img)



# SetPoints('test', frame)



# import json
# import requests

# # Run inference on an image
# url = "https://api.ultralytics.com/v1/predict/MAyxSmPez5SZXdyspDvF"
# headers = {"x-api-key": "803cf64a0603764f0657e33bb0103f8a11ffc59567"}
# data = {"size": 640, "confidence": 0.25, "iou": 0.45}
# with open("test.jpg", "rb") as f:
# 	response = requests.post(url, headers=headers, data=data, files={"image": f})

# # Check for successful response
# response.raise_for_status()

# # Print inference results
# print(json.dumps(response.json(), indent=2))