Overview

Encoding your own image or video is achieved by using the script coolchic/encode.py.

(venv) ~/Cool-Chic$ python coolchic/encode.py             \
    --input=path_to_my_example                      \
    --output=bitstream.bin                          \
    --workdir=./my_temporary_workdir/               \
    --enc_cfg=cfg/enc/fast.cfg                      \
    --dec_cfg=cfg/dec/mop.cfg

Unlike the decoding script which only takes input and output arguments, the encoder has many arguments allowing to tune Cool-chic for your need.

• Encoder configuration affects the encoding duration by changing the training parameters. This is set through the argument --enc_cfg. Several encoder configuration files are available in cfg/enc/.

• Decoder configuration parametrizes the decoder architecture and complexity. This is set through the argument --dec_cfg. Several encoder configuration files are available in cfg/dec/.

Working directory

The --workdir argument is used to specify a folder where all necessary data will be stored. This includes the encoder logs and the PyTorch model (workdir/video_encoder.pt).

Attention

If present, the PyTorch model inside workdir workdir/video_encoder.pt is reloaded by the coolchic/encode.py script. In order to encode a new image using the same workdir, you must first clean out the workdir.

I/O format

Cool-chic is able to encode PPM, PNG, YUV420 & YUV 444 files. The naming of YUV files must comply with the following convention

--input=<videoname>_<Width>x<Height>_<framerate>p_yuv<chromasampling>_<bitdepth>b.yuv

Note that Cool-Chic outputs either PPM (and not PNG!) or YUV files.