# 摄像头画面测试程序
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import os
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import cv2
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import time
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import numpy as np
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import onnxruntime
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import win32com.client
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if __name__ == '__main__':
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# 摄像头索引号，通常为0表示第一个摄像头
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camera_index = 3
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# 打开摄像头
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cap = cv2.VideoCapture(camera_index, cv2.CAP_DSHOW)
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# 设置分辨率
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cap.set(cv2.CAP_PROP_FRAME_WIDTH, 2048) # 宽度
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cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1540) # 高度
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# 检查摄像头是否成功打开
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if not cap.isOpened():
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print("无法打开摄像头")
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exit()
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width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
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height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
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print("摄像头分辨率:", width, "x", height)
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# 目标图像尺寸
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# 计时器
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frame_count = 0
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start_time = time.time()
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stime = time.time()
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target_width = 1024
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target_height = 768
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# 循环读取摄像头画面
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while True:
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ret, frame = cap.read()
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if not ret:
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print("无法读取摄像头画面")
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break
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resized_frame = frame
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if height > target_height and width > target_width:
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# 1920*1080的图像，中心裁剪640*480的区域
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a = int(height / 2 - target_height / 2)
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b = int(height / 2 + target_height / 2)
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c = int(width / 2 - target_width / 2)
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d = int(width / 2 + target_width / 2)
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cropped_frame = frame[a:b, c:d]
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# 调整图像尺寸
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resized_frame = cv2.resize(cropped_frame, (target_width, target_height))
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# 计算帧速率
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frame_count += 1
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end_time = time.time()
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elapsed_time = end_time - start_time
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fps = frame_count / elapsed_time
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# print(f"FPS: {fps:.2f}")
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# 将FPS绘制在图像上
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cv2.putText(resized_frame, f"FPS: {fps:.2f}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2,
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cv2.LINE_AA)
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resizeframe = cv2.resize(frame, (target_width, target_height))
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# 显示画面
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cv2.imshow("Camera", resizeframe)
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# 检测按键，如果按下q键则退出循环
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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# 关闭摄像头
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cap.release()
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# 关闭所有窗口
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cv2.destroyAllWindows()
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