Metadata-Version: 2.1
Name: check_orientation
Version: 0.0.5
Summary: Check if image was rotated by 90, 180, 270 degrees.
Home-page: https://github.com/ternaus/check_orientation
Author: Vladimir Iglovikov
License: MIT
Description: # Check orientation
        
        ![](https://habrastorage.org/webt/hb/ru/ii/hbruiiuortx05lxfuokzw1skheu.jpeg)
        
        Models to check if image was rotated by 0, 90, 180, 270 degrees.
        
        ## Installation
        `pip install -U check_orientation`
        
        ### Example inference
        
        Colab notebook with the example: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1HIGM_b8rH20N414ROZB0HN9w5p4ko2Bd?usp=sharing)
        
        ## Training
        
        ### Define the config.
        Example at [check_orientation/configs](check_orientation/configs)
        
        ### Define the environmental variable `TRAIN_IMAGE_PATH` that points to the folder with train dataset.
        Example:
        ```bash
        export TRAIN_IMAGE_PATH=<path to the tranining folder>
        ```
        
        ### Define the environmental variable `VAL_IMAGE_PATH` that points to the folder with validation dataset.
        Example:
        ```bash
        export VAL_IMAGE_PATH=<path to the validation folder>
        ```
        
        ### Training
        ```
        python -m check_orientation.train -c <path to config>
        ```
        
        ### Inference
        
        ```bash
        python -m torch.distributed.launch --nproc_per_node=<num_gpu> check_orientation/inference.py \
                                           -i <path to images> \
                                           -c <path to config> \
                                           -w <path to weights> \
                                           -o <output-path> \
                                           --fp16
        ```
        
        ### Pre-trained models
        Models were pre-trained on the [OpenImages dataset](https://storage.googleapis.com/openimages/web/index.html).
        
        | Models        | Validation accuracy | Config file  | Weights |
        | ------------- |:--------------------:| :------------:| :------: |
        | swsl_resnext50_32x4d|0.9128| [Link](check_orientation/configs/2020-11-16.yaml)| [Link](https://github.com/ternaus/check_orientation/releases/download/v0.0.3/2020-11-16_resnext50_32x4d.zip)|
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: test
