dgjung0220 / REDNet-tensorflow

Unofficial implementation of RedNet architecture described in paper 'RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation'

RedNet-tensorflow

Unofficial implementation of RedNet architecture described in paper 'RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation'. It's a model for "Semantic Segmentation", but fixed it for "Super Resolution" by modifying the output layer's activation function.

Requirements

• python 3.7+
• tensorflow 2.0.0+

Train

python train.py \
        --num_layers 15 \
        --dataset dataset/bsd_images \
        --num_epoch 1000 \
        --train_batch_size 16 \
        --valid_batch_size 1

TensorBoard

License

Apache License 2.0