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README.md

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## Installation:
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1. Install [miniconda](https://docs.conda.io/en/latest/miniconda.html).
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1. Install [miniconda].
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2. Create an environment:
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```bash
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conda create -n chainer7cu11 python~=3.8.0 matplotlib jupyter opencv
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## Running the experiments (FGVC):
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### Start [sacred](https://sacred.readthedocs.io/en/stable/quickstart.html) to log your experiment results
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### Start [sacred] to log your experiment results
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*`docker` and `docker-compose` are required*
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### Download the model weights and datasets you want to test
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1. Download the weights from **TODO: ADD LINKS TO THE MODELS** and put them in you data directory (e.g.: `<data_dir>/models/inception/model.imagenet.npz`)
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2. Setup your datasets, so that they are located under `<data_dir>/datasets/<dataset_name>/ORIGINAL`.
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3. Copy part annotations from **TODO: ADD LINKS TO THE PART ANNOTATIONS**. Link the contents of the `ORIGINAL` folder to `CS_parts` and copy the part annotations to `CS_PARTS/parts`.
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4. Copy `example.yml` to `fgvc/info.yml` and update `BASE_DIR` to point to your data directory.
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1. Download the weights for the [InceptionV3 model][weights] and put them in you data directory (e.g.: `<data_dir>/models/inception/model.imagenet.npz`)
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2. Download the [dataset annotations][annotations] and download the images from the links mentioned in the corresponding README file.
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3. Copy `example.yml` to `fgvc/info.yml` and update `BASE_DIR` to point to your data directory.
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**Note:** An example data directory may look like the following:
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```bash
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{GLOBAL,GT,GT2,CS_PARTS}
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[...]
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```
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[weights]: https://github.com/cvjena/fve_experiments/releases/download/gcpr2021_submission/inception_weights.zip
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[annotations]: https://github.com/cvjena/fve_experiments/releases/download/gcpr2021_submission/dataset_annotations.zip
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[sacred]: https://sacred.readthedocs.io/en/stable/quickstart.html
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[miniconda]: https://docs.conda.io/en/latest/miniconda.html

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