python - ValueError at/image/Tensor Tensor ("activation_5/Softmax:0", shape=(?, 4), dtype=float32) 不是这个图的元素

Question

我正在构建一个图像处理分类器，此代码是一个 API，用于预测整个代码正在运行的图像的图像类，除了这一行 (pred = model.predict_classes(test_image)) 此 API 是在 Django 框架中制作的，并且我正在使用 python 2.7

如果我像往常一样运行这段代码(没有创建 API)，那么它运行完美

def classify_image(request):
if request.method == 'POST' and request.FILES['test_image']:

    fs = FileSystemStorage()
    fs.save(request.FILES['test_image'].name, request.FILES['test_image'])


    test_image = cv2.imread('media/'+request.FILES['test_image'].name)

    if test_image is not None:
        test_image = cv2.resize(test_image, (128, 128))
        test_image = np.array(test_image)
        test_image = test_image.astype('float32')
        test_image /= 255
        print(test_image.shape)
    else:
        print('image didnt load')

    test_image = np.expand_dims(test_image, axis=0)
    print(test_image)
    print(test_image.shape)

    pred = model.predict_classes(test_image)
    print(pred)

return JsonResponse(pred, safe=False)

Answer 1

您的 test_image 和 tensorflow 模型的输入不匹配。

# Your image shape is (, , 3)
test_image = cv2.imread('media/'+request.FILES['test_image'].name)

if test_image is not None:
    test_image = cv2.resize(test_image, (128, 128))
    test_image = np.array(test_image)
    test_image = test_image.astype('float32')
    test_image /= 255
    print(test_image.shape)
else:
    print('image didnt load')

# Your image shape is (, , 4)
test_image = np.expand_dims(test_image, axis=0)
print(test_image)
print(test_image.shape)

pred = model.predict_classes(test_image)

以上只是假设。如果你想调试，我想你应该打印你的图像大小并与你的模型定义的第一个布局进行比较。并检查大小(宽度、高度、深度)是否匹配