ValueError at /image/ Tensor Tensor(“activation_5/Softmax:0”, shape=(?, 4), dtype=float32) is not an element of this graph

I am building an image processing classifier and this code is an API to predict the image class of the image the whole code is running except this line (pred = model.predict_classes(test_image)) this API is made in Django framework and am using python 2.7

here is a point if I am running this code like normally ( without making an API) it’s running perfectly

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)

Answers:

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Method 1

Your test_image and input of tensorflow model is not match.

# 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)

The above is just assumption. If you want to debug, i guess you should print your image size and compare with first layout of your model definition. And check whe the size (width, height, depth) is match

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