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): print(f"🔧 正在初始化采集卡 {cam_index}...") self.cap = cv2.VideoCapture(cam_index, cv2.CAP_DSHOW) if not self.cap.isOpened(): print(f"⚠️ DSHOW模式失败,尝试默认模式...") self.cap = cv2.VideoCapture(cam_index) if not self.cap.isOpened(): print(f"❌ 无法打开采集卡 {cam_index}") self.cap = None return self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, width) self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height) self.frame = None self.running = True self.cam_index = cam_index # 启动更新线程 threading.Thread(target=self.update, daemon=True).start() # 等待几帧确保采集卡正常工作 import time time.sleep(1.0) print(f"✅ 采集卡 {cam_index} 初始化完成") def update(self): while self.running and self.cap is not None: ret, frame = self.cap.read() if ret: self.frame = frame else: print(f"⚠️ 采集卡 {self.cam_index} 读取失败") def get_frame(self): if self.cap is None or self.frame is None: return None try: 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] except Exception as e: print(f"⚠️ 图像处理错误: {e}") return None def release(self): self.running = False time.sleep(0.2) if self.cap is not None: self.cap.release() cv2.destroyAllWindows() # get_image 将在main.py中初始化 get_image = None