import time from PIL import Image import cv2 # class GetImage: # def __init__(self, cam_index=0, width=1920, height=1080): # self.cap = cv2.VideoCapture(cam_index,cv2.CAP_DSHOW) # # if not self.cap.isOpened(): # raise RuntimeError(f"无法打开摄像头 {cam_index}") # self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, width) # self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height) # print(f"✅ 摄像头 {cam_index} 打开成功,分辨率 {width}x{height}") # def get_frame(self): # ret, im_opencv = self.cap.read() # im_opencv = cv2.cvtColor(im_opencv, cv2.COLOR_BGR2RGB) # rgb 修改通道数并转换图像 # im_opencv = im_opencv[30:30+720, 0:1280]#裁剪尺寸 # im_PIL = Image.fromarray(im_opencv) # 图像改成对象类型 # # return [im_opencv, im_PIL] # def release(self): # self.cap.release() # cv2.destroyAllWindows() # print("🔚 摄像头已释放") # def __del__(self): # # 以防忘记手动释放 # if hasattr(self, "cap") and self.cap.isOpened(): # self.release() # # get_image = GetImage() # # if __name__ == '__main__': # while True: # if cv2.waitKey(1) & 0xFF == ord('q'): # break # a=get_image.get_frame() # cv2.imshow('image',a[0]) # print(a[0].shape) # # # cv2.destroyAllWindows() import threading class GetImage: def __init__(self, cam_index=0, width=1920, height=1080): self.cap = cv2.VideoCapture(cam_index, cv2.CAP_DSHOW) if not self.cap.isOpened(): self.cap = cv2.VideoCapture(cam_index) self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, width) self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height) self.frame = None self.running = True threading.Thread(target=self.update, daemon=True).start() def update(self): while self.running: ret, frame = self.cap.read() if ret: self.frame = frame def get_frame(self): if self.frame is None: return None im_opencv = cv2.cvtColor(self.frame, cv2.COLOR_BGR2RGB) im_opencv = im_opencv[30:30+720, 0:1280] im_PIL = Image.fromarray(im_opencv) return [im_opencv, im_PIL] def release(self): self.running = False time.sleep(0.2) self.cap.release() cv2.destroyAllWindows() # get_image 将在main.py中初始化 get_image = None