视频帧灰度化线程处理报错：Line2D.set()收到意外'cmap'参数

运行线程分割视频帧并转为灰度图的代码时，出现以下错误：

文件路径"C:\Users\USER\PycharmProjects\ASCIIPICproject\venv\lib\site-packages\matplotlib\artist.py"第1160行，在_update_props中抛出AttributeError：Line2D.set() got an unexpected keyword argument 'cmap'

对应的过滤线程函数代码：

def saveFramesFiltered():
    currentFrame = 0
    framemax = 215

    while currentFrame < framemax:
        while not os.path.exists("./framesBefore/frame" + str(currentFrame) + '.jpg'):
            time.sleep(0.01)
        lock.acquire()
        image = pltim.imread("./framesBefore/frame" + str(currentFrame) + '.jpg')
        lock.release()
        r, g, b = image[:, :, 0], image[:, :, 1], image[:, :, 2]
        grayImage = 0.299 * r + 0.587 * g + 0.114 * b
        plt.plot(grayImage, cmap="gray")
        plt.axis("off")
        lock.acquire()
        plt.savefig("./framesAfter/grayImage" + str(currentFrame) + ".jpg", bbox_inches='tight', pad_inches=0)
        lock.release()
        time.sleep(0.01)

• 错误原因：plt.plot()是绘制折线图的函数，不支持cmap（颜色映射）参数，处理图像应该用专门的plt.imshow()函数。另外原代码遗漏了帧计数递增，会导致无限循环，且未关闭画布可能引发内存泄漏。

• 修正后的代码：

import os
import time
import matplotlib.pyplot as plt

def saveFramesFiltered():
    currentFrame = 0
    framemax = 215

    while currentFrame < framemax:
        frame_path = f"./framesBefore/frame{currentFrame}.jpg"
        while not os.path.exists(frame_path):
            time.sleep(0.01)
        
        lock.acquire()
        image = plt.imread(frame_path)  # 修正笔误pltim为plt
        lock.release()
        
        # 计算灰度图（兼容RGB和已灰度化的图像）
        if len(image.shape) == 3:
            r, g, b = image[:, :, 0], image[:, :, 1], image[:, :, 2]
            grayImage = 0.299 * r + 0.587 * g + 0.114 * b
        else:
            grayImage = image
        
        # 用imshow替代plot显示灰度图
        plt.imshow(grayImage, cmap="gray", interpolation="none")
        plt.axis("off")
        
        lock.acquire()
        plt.savefig(f"./framesAfter/grayImage{currentFrame}.jpg", bbox_inches='tight', pad_inches=0)
        lock.release()
        
        plt.close()  # 关闭画布释放内存
        currentFrame += 1  # 递增帧计数，避免无限循环
        time.sleep(0.01)

内容的提问来源于stack exchange，提问作者MR. potato35