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fast-neural-style-transfer's Introduction

Fast Neural Style Transfer in PyTorch

PyTorch implementation of Fast Neural Style Transfer (official Lua implementation).

I have made some trained models available here.

requirements

be sure that you have installed ffmpeg, and pkg-config correctly.

  • pip install av skvideo

  • ubuntu user:

    apt-get install -y \
libavformat-dev libavcodec-dev libavdevice-dev \
libavutil-dev libswscale-dev libavresample-dev

Train

python3 train.py  --dataset_path <path-to-dataset> \
                  --style_image <path-to-style-image> \
                  --epochs 1 \
                  --batch_size 4 \
                  --image_size 256

Figure: Training progress over the first 10,000 batches.

Test on Video

python3 test_on_video.py  --video_path <path-to-video> \
                          --checkpoint_model <path-to-checkpoint> \

Test on Image

python3 test_on_image.py  --image_path <path-to-image> \
                          --checkpoint_model <path-to-checkpoint> \

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