ResUnet-A pytorch implmentation

Tensorboard

$ tensorboard --logdir [log directory]/[scope name]/[data name] \
              --port [(optional) 4 digit port number]

---

$ tensorboard --logdir ./log/unet/em \
              --port 6006

After the above comment executes, go http://localhost:6006

• You can change [(optional) 4 digit port number].
• Default 4 digit port number is 6006.

Training with example dataset

python main.py --mode train \
                     --scope ResUnetA \
                     --name_data poc \
                     --dir_data ./datasets-rgb \
                     --dir_log ./log \
                     --batch_size 1 \
                     --dir_checkpoint ./checkpoints \
                     --gpu_ids 0  \
                     --num_epoch 20 \
                     --dir_result ./results \
                     --nx_in 224 \
                     --ny_in 224 \
                     --ny_out 224 \
                     --nch_in 1 \
                     --nch_out 1 \
                     --nx_out 224 \
                     --nx_load 224 \
                     --ny_load 224          

Directories structure

+---[dir_checkpoint]
|   \---[scope]
|       \---[name_data]
|           +---model_epoch00000.pth
|           |   ...
|           \---model_epoch12345.pth
+---[dir_data]
|   \---[name_data]
|       +---test
|       |   +---00000.npy
|       |   |   ...
|       |   \---12345.npy
|       +---train
|       |   +---00000.npy
|       |   |   ...
|       |   \---12345.npy
|       \---val
|           +---00000.npy
|           |   ...
|           \---12345.npy
+---[dir_log]
|   \---[scope]
|       \---[name_data]
|           +---arg.txt
|           \---events.out.tfevents
\---[dir_result]
    \---[scope]
        \---[name_data]
            +---images
            |   +---00000-input.png
            |   +---00000-label.png
            |   +---00000-output.png
            |   |   ...
            |   +---12345-input.png
            |   +---12345-label.png

• Above directory is created by setting arguments when main.py is executed.