Fine-Grained-Cloth-Classification

Beating Fine-Grained Cloth Classification benchmark using Fast.AI in 10 Lines of Code

from fastai import *
from fastai.vision import *
path = Path("data/cloth_categories/")
data = ImageDataBunch.from_csv(path, csv_labels="train_labels.csv", ds_tfms=get_transforms(), size=224)
data.normalize(imagenet_stats)
learn = create_cnn(data, models.resnet34, metrics=accuracy)
learn.fit_one_cycle(8)
learn.save('stage-1_sz-150')

This is repo for my article

https://medium.com/@pankajmathur/clothing-categories-classification-using-fast-ai-v1-0-in-10-lines-of-code-4e848797721

Make Sure to follow article to do below steps, before trying this notebook.

• Download dataset http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion.html
• Installing & Setting up Fast.AI Libraries https://github.com/fastai/fastai

Huge Thanks to @Ziwei Liu, @Ping Luo, @Shi Qiu, @Xiaogang Wang, and @Xiaoou Tang from The Chinese University of Hong Kong

@inproceedings{liu2016deepfashion, author = {Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang}, title = {DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations}, booktitle = {Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = June, year = {2016} }

UPDATE: Fast.ai libraries are in process of updating almost every few days with new features & bug fixes, At the time of writing this ReadMe.md, I am using fastai version 1.0.24, so please match your environment accordingly.

conda update --all
conda install -c fastai fastai