EasyCV/docs
tuofeilun 6821cdc9db
refactor detection predictor (#158)
The use of unified DetrPredictor for detection test and predictor.
2022-08-26 10:28:17 +08:00
..
source refactor detection predictor (#158) 2022-08-26 10:28:17 +08:00
Makefile initial commit 2022-04-02 20:01:06 +08:00
README.md initial commit 2022-04-02 20:01:06 +08:00
build_docs.sh fix: add missing shell scripts (#47) 2022-04-29 17:04:10 +08:00
make.bat initial commit 2022-04-02 20:01:06 +08:00

README.md

maintain docs

  1. install requirements needed to build docs

    # in easycv root dir
    pip install requirements/docs.txt
    
  2. build docs

    # in easycv/docs dir
    bash build_docs.sh
    
  3. doc string format

    We adopt the google style docstring format as the standard, please refer to the following documents.

    1. Google Python style guide docstring link
    2. Google docstring example link
    3. sampletorch.nn.modules.conv link
    4. Transformer as an example
    class Transformer(base.Layer):
        """
            Transformer model from ``Attention Is All You Need``,
            Original paper: https://arxiv.org/abs/1706.03762
    
            Args:
                num_token (int): vocab size.
                num_layer (int): num of layer.
                num_head (int): num of attention heads.
                embedding_dim (int): embedding dimension.
                attention_head_dim (int): attention head dimension.
                feed_forward_dim (int): feed forward dimension.
                initializer: initializer type.
                activation: activation function.
                dropout (float): dropout rate (0.0 to 1.0).
                attention_dropout (float): dropout rate for attention layer.
    
            Returns: None
        """