(Tensorflow) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray)

Question

I'm trying to combine a set of images into one np.array and convert it to a tf.data.Dataset object like so:

test = np.array([np.array(PIL.Image.open(image), dtype=np.float32) for image in image_list],
                dtype=object)

test_set = tf.data.Dataset.from_tensor_slices(test)

But doing so raises the following error:

ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray).

Any idea what I could be doing wrong? Cheers

That's how a numpy array format is written. If you do print(test), it will be printed in the format you want. There is nothing wrong with the output. — Prakhar Rathi
– Prakhar Rathi, Commented May 5, 2022 at 7:41

ChilliMayoo · Accepted Answer · 2022-05-05 10:13:37Z

3

Figured out the issue was caused by creating one np.array too many. Doing the following fixed it for me:

test = [np.array(PIL.Image.open(image), dtype=np.float32) for image in image_list]

answered May 5, 2022 at 10:13

ChilliMayoo

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