想写一个视频处理器，但是对c++图像处理不太了解于是用了chatgpt…
意外chatgpt竟然走那么远了

import cv2
from numba import cuda
import concurrent.futures
import queue
import time

# 读取视频文件
video = cv2.VideoCapture("2.mp4")

# 读取视频帧数间格
frame_time_space = int(1000 / video.get(cv2.CAP_PROP_FPS))
stat = time.time()

# 结果队列
result = queue.Queue()


# 在 GPU 上进行图像处理
@cuda.jit
def thresholding(gray_image):
    x, y = cuda.grid(2)
    if x < gray_image.shape[0] and y < gray_image.shape[1]:
        if gray_image[x, y] < 128:
            gray_image[x, y] = 0
        else:
            gray_image[x, y] = 255


# 线程池中的线程所执行的任务
def worker(frame, result):
    # 将图像转换为灰度图像
    gray_image = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # 将灰度图像上传到 GPU
    d_gray_image = cuda.to_device(gray_image)

    # 处理 item，并将结果放入 result 队列中
    result.put(d_gray_image)

    # 设置 CUDA 栅格和线程块大小
    threadsperblock = (16, 16)
    blockspergrid_x = (gray_image.shape[0] + threadsperblock[0] - 1) // threadsperblock[0]
    blockspergrid_y = (gray_image.shape[1] + threadsperblock[1] - 1) // threadsperblock[1]
    blockspergrid = (blockspergrid_x, blockspergrid_y)

    # 运行 CUDA 核函数
    thresholding[blockspergrid, threadsperblock](d_gray_image)


# 创建线程池
with concurrent.futures.ThreadPoolExecutor(max_workers=30) as executor:
    futures = []
    # 启动 4 个工作线程，将队列和结果队列传递给线程池中的线程

    # 循环读取视频帧
    while True:
        # 读取一帧
        ret, frame = video.read()
        # 如果读取到了最后一帧，退出循环
        if not ret:
            break
        futures.append(executor.submit(worker, frame, result))

while True:
    # 将处理后的图像从 GPU 下载到主机内存
    processed_image = result.get().copy_to_host()

    # 显示fps
    fps_disp = "FPS: {}".format(int(1 / (time.time() - stat)))
    cv2.putText(processed_image, fps_disp, (10, 25), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
    stat = time.time()

    # 在窗口中显示该帧
    cv2.imshow("frame", processed_image)

    # 延时播放
    if cv2.waitKey(1) == ord("q"):
        break

# 等待线程池中的所有线程退出
concurrent.futures.wait(futures)

# 释放视频流
video.release()

# 销毁窗口
cv2.destroyAllWindows()