glasses-removal-gan

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glasses-removal-gan

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SimGAN based approach to removing eyeglasses from images

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// repository documentation

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# Removing eyeglasses through adversarial training
A SimGAN based approach to removing eyeglasses from images.

## Installing requirements
* ```python3 -m pip install -r requirements.txt```

## Usage
```
usage: main.py [-h] [--batch_size BATCH_SIZE] [--steps STEPS] [--infer]
               [--log_dir LOG_DIR] [--model_dir MODEL_DIR]
               [--samples_dir SAMPLES_DIR] [--output_dir OUTPUT_DIR]
               [--no_glasses_dir NO_GLASSES_DIR] [--glasses_dir GLASSES_DIR]

GAN that removes glasses from pictures

optional arguments:
  -h, --help            show this help message and exit
  --batch_size BATCH_SIZE
                        Batch size to be used in training. Defaults to 64.
  --steps STEPS         Number of training steps to be performed. Defaults to
                        10 thousand.
  --infer               Performs inference for all images in the samples
                        directory using the latest stored model.
  --log_dir LOG_DIR     Directory where all the log files reside. Defaults to
                        log.
  --model_dir MODEL_DIR
                        Directory where the trained model is saved. Defaults
                        to checkpoint.
  --samples_dir SAMPLES_DIR
                        Directory of the images used for validation/inference.
                        Defaults to samples.
  --output_dir OUTPUT_DIR
                        Directory where the output of the inference will be
                        stored. Defaults to output.
  --no_glasses_dir NO_GLASSES_DIR
                        Directory of the images without glasses for training.
                        Defaults to training.
  --glasses_dir GLASSES_DIR
                        Directory of the images with glasses for training.
                        Defaults to noise.
```

glasses-removal-gan

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