When building my own docker image from the dockerfile I get this error:
ERROR: Could not find a version that satisfies the requirement tensorflow==2.0.0-beta1
ERROR: No matching distribution found for tensorflow==2.0.0-beta1
I tried removing the version (just putting 'tensorflow' in the requirements.txt) and that enabled me to succesfully built the image. But there are still some things going wrong.
To test this more easily I removed the entrypoint from the dockerfile (I didn't need the webserver anyway, just wanted an easy way to install) and then ran the image with:
sudo docker run --rm segmentallocal bash -c 'python /app/segmental_cli.py /app/test/test_images/cat.jpg'
That gives me the following error:
TypeError: Could not build a TypeSpec for <KerasTensor: shape=(None, 64, 64, 256) dtype=float32 (created by layer 'tf.compat.v1.image.resize_images')> with type KerasTensor
When building my own docker image from the dockerfile I get this error:
I tried removing the version (just putting 'tensorflow' in the requirements.txt) and that enabled me to succesfully built the image. But there are still some things going wrong.
To test this more easily I removed the entrypoint from the dockerfile (I didn't need the webserver anyway, just wanted an easy way to install) and then ran the image with:
sudo docker run --rm segmentallocal bash -c 'python /app/segmental_cli.py /app/test/test_images/cat.jpg'That gives me the following error: