我收到以下错误：valueerror:tile无法扩展外部图像
在推断人脸识别软件的过程中，该软件会检查您是否佩戴了新冠病毒口罩。
这是密码

transformations = Compose([
        ToPILImage(),
        Resize((100, 100)),
        ToTensor(),
    ])

[...]

    for frame in vreader(str(videopath)):
        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        faces = faceDetector.detect(frame)
        for face in faces:
            xStart, yStart, width, height = face

            # clamp coordinates that are outside of the image
            xStart, yStart = max(xStart, 0), max(yStart, 0)

            # predict mask label on extracted face
            faceImg = frame[yStart:yStart+height, xStart:xStart+width]
            output = model(transformations(faceImg).unsqueeze(0).to(device))
            _, predicted = torch.max(output.data, 1)

            # draw face frame
            cv2.rectangle(frame,
                          (xStart, yStart),
                          (xStart + width, yStart + height),
                          (126, 65, 64),
                          thickness=2)

主要问题源于这个片段

output = model(transformations(faceImg).unsqueeze(0).to(device))

可能是facedetector.py中的“detect”函数，它是一个单独的元素，仅用于查找图片中的面：

def detect(self, image):
    """ detect faces in image
    """
    net = self.classifier
    height, width = image.shape[:2]
    blob = blobFromImage(resize(image, (300, 300)), 1.0,
                         (300, 300), (104.0, 177.0, 123.0))
    net.setInput(blob)
    detections = net.forward()
    faces = []
    for i in range(0, detections.shape[2]):
        confidence = detections[0, 0, i, 2]
        if confidence < self.confidenceThreshold:
            continue
        box = detections[0, 0, i, 3:7] * np.array([width, height, width, height])
        startX, startY, endX, endY = box.astype("int")
        faces.append(np.array([startX, startY, endX-startX, endY-startY]))
    return faces

我试图在1280x720p视频上运行推断。不知道怎么了。它开始推理，从我收集的数据来看，模型工作了，但很快就出现了错误。。。
你怎么认为？