开发一个完整的眼动追踪应用-Python版

 python.exe -m pip install --upgrade pip

c:/Users/yunswj/AppData/Local/Programs/Python/Python310/python.exe -m pip install ipykernel -U --user --force-reinstall

pip install opencv-python

https://cmake.org/download/

import cv2import threading

class VideoStream:    def __init__(self, src=0, width=640, height=480, fps=30):        self.stream = cv2.VideoCapture(src)        self.stream.set(cv2.CAP_PROP_FRAME_WIDTH, width)        self.stream.set(cv2.CAP_PROP_FRAME_HEIGHT, height)        self.stream.set(cv2.CAP_PROP_FPS, fps)        self.width = int(self.stream.get(cv2.CAP_PROP_FRAME_WIDTH))        self.height = int(self.stream.get(cv2.CAP_PROP_FRAME_HEIGHT))        self.fps = int(self.stream.get(cv2.CAP_PROP_FPS))        self.status = False        self.frame = None
    def start(self):        if self.status:            return None        self.status = True        threading.Thread(target=self.update, args=()).start()
    def update(self):        while self.status:            _, self.frame = self.stream.read()
    def read(self):        return self.frame
    def stop(self):        self.status = False

def main():    # 创建两个VideoStream对象，用于捕获左右眼视频流    left_cam = VideoStream(0)    right_cam = VideoStream(1)
    # 开始捕获视频流    left_cam.start()    right_cam.start()
    # 创建OpenCV窗口用于显示视频流    cv2.namedWindow("Video Stream", cv2.WINDOW_NORMAL)
    while True:        # 读取左右眼视频流        left_frame = left_cam.read()        right_frame = right_cam.read()
        # 在视频流上添加帧率信息        left_fps_text = f"FPS: {left_cam.fps}"        right_fps_text = f"FPS: {right_cam.fps}"        cv2.putText(            left_frame,            left_fps_text,            (10, 30),            cv2.FONT_HERSHEY_SIMPLEX,            1,            (255, 255, 255),            2,        )        cv2.putText(            right_frame,            right_fps_text,            (10, 30),            cv2.FONT_HERSHEY_SIMPLEX,            1,            (255, 255, 255),            2,        )
        # 合并左右眼视频流并显示        merged_frame = cv2.hconcat([left_frame, right_frame])        cv2.imshow("Video Stream", merged_frame)
        # 按'q'键退出        if cv2.waitKey(1) & 0xFF == ord("q"):            break
    # 停止视频流捕获    left_cam.stop()    right_cam.stop()
    # 关闭OpenCV窗口    cv2.destroyAllWindows()

if __name__ == "__main__":    main()