image-classification-pytorch 0.0.10

Image classification with pretrained models in Pytorch

# Image classification with pretrained models in Pytorch

Use pretrained models to train your data.

## Installation

`sh pip install image-classification-pytorch `

## ✨ Quick start

`sh import image_classification_pytorch as icp ` `sh # Images of each class in its own folder with the class name. # Examples of folders: homer_simpson, bart_simpson etc. from google.colab import drive drive.mount('/content/gdrive') !unzip -q /content/gdrive/My\ Drive/datasets/image_classification_pytorch/data_simpsons.zip -d train ` `sh # add model tf_efficientnet_b4_ns = {'model_type': 'tf_efficientnet_b4_ns', 'im_size': 380, 'im_size_test': 380, 'batch_size': 8, 'mean': [0.485, 0.456, 0.406], 'std': [0.229, 0.224, 0.225]} models = [tf_efficientnet_b4_ns] ` `sh # create trainer trainer = ICPTrainer(models=models, data_dir='data_simpsons') # start training trainer.fit_test() `

## Colab Quick start [image_classification_pytorch_get_started.ipynb](https://colab.research.google.com/drive/1M7oJDizCOrFTDJz0CaDy-ClvDMUvmlnv?usp=sharing)