100 lines
3.3 KiB
Python
100 lines
3.3 KiB
Python
import time
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from PIL import Image
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import cv2
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# class GetImage:
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# def __init__(self, cam_index=0, width=1920, height=1080):
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# self.cap = cv2.VideoCapture(cam_index,cv2.CAP_DSHOW)
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#
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# if not self.cap.isOpened():
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# raise RuntimeError(f"无法打开摄像头 {cam_index}")
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# self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
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# self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
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# print(f"✅ 摄像头 {cam_index} 打开成功，分辨率 {width}x{height}")
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# def get_frame(self):
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# ret, im_opencv = self.cap.read()
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# im_opencv = cv2.cvtColor(im_opencv, cv2.COLOR_BGR2RGB) # rgb 修改通道数并转换图像
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# im_opencv = im_opencv[30:30+720, 0:1280]#裁剪尺寸
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# im_PIL = Image.fromarray(im_opencv) # 图像改成对象类型
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#
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# return [im_opencv, im_PIL]
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# def release(self):
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# self.cap.release()
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# cv2.destroyAllWindows()
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# print("🔚 摄像头已释放")
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# def __del__(self):
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# # 以防忘记手动释放
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# if hasattr(self, "cap") and self.cap.isOpened():
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# self.release()
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#
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# get_image = GetImage()
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#
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# if __name__ == '__main__':
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# while True:
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# if cv2.waitKey(1) & 0xFF == ord('q'):
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# break
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# a=get_image.get_frame()
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# cv2.imshow('image',a[0])
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# print(a[0].shape)
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#
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#
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# cv2.destroyAllWindows()
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import threading
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class GetImage:
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def __init__(self, cam_index=0, width=1920, height=1080):
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print(f"🔧 正在初始化采集卡 {cam_index}...")
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self.cap = cv2.VideoCapture(cam_index, cv2.CAP_DSHOW)
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if not self.cap.isOpened():
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print(f"⚠️ DSHOW模式失败，尝试默认模式...")
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self.cap = cv2.VideoCapture(cam_index)
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if not self.cap.isOpened():
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print(f"❌ 无法打开采集卡 {cam_index}")
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self.cap = None
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return
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self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, width)
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self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height)
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self.frame = None
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self.running = True
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self.cam_index = cam_index
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# 启动更新线程
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threading.Thread(target=self.update, daemon=True).start()
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# 等待几帧确保采集卡正常工作
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import time
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time.sleep(1.0)
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print(f"✅ 采集卡 {cam_index} 初始化完成")
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def update(self):
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while self.running and self.cap is not None:
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ret, frame = self.cap.read()
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if ret:
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self.frame = frame
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else:
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print(f"⚠️ 采集卡 {self.cam_index} 读取失败")
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def get_frame(self):
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if self.cap is None or self.frame is None:
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return None
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try:
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im_opencv = cv2.cvtColor(self.frame, cv2.COLOR_BGR2RGB)
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im_opencv = im_opencv[30:30+720, 0:1280]
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im_PIL = Image.fromarray(im_opencv)
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return [im_opencv, im_PIL]
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except Exception as e:
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print(f"⚠️ 图像处理错误: {e}")
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return None
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def release(self):
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self.running = False
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time.sleep(0.2)
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if self.cap is not None:
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self.cap.release()
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cv2.destroyAllWindows()
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# get_image 将在main.py中初始化
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get_image = None |