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Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc

License: GNU General Public License v3.0

Dockerfile 0.36% Shell 0.44% Python 99.19%
semantic-segmentation python3 keras-tensorflow cityscape-dataset ade20k camvid-dataset coco-dataset taco-dataset pascal-voc

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tf-semantic-segmentation's Issues

Shape error when training on custom dataset

python3 -m tf_semantic_segmentation.bin.train -m 'unet' -o 'adam' -bs 4 -l 'categorical_crossentropy' -logdir 'logs' -rd 'tfrecord'

tensorflow.python.framework.errors_impl.InvalidArgumentError: Input to reshape is a tensor with 174850048 values, but the requested shape has 262144

I created my own dataset using the provided code. Why do I get this error?

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