dressing-in-order
HugsVision
| dressing-in-order | HugsVision | |
|---|---|---|
| 1 | 1 | |
| 495 | 188 | |
| - | - | |
| 3.8 | 0.0 | |
| 6 months ago | 9 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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dressing-in-order
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Opinion for AR try-on application
Thank you for your reply. What I plan to do is in 2d space. I found something similar on Github https://github.com/cuiaiyu/dressing-in-order. The idea is about making sure you can find the best combination of different clothes.
HugsVision
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[R] HugsVision: A easy-to-use HuggingFace wrapper for computer vision
Find more tutorials and informations about HugsVision on GitHub
What are some alternatives?
Thin-Plate-Spline-Motion-Model - [CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
SpecVQGAN - Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
fashionpedia-api - Python API for Fashionpedia Dataset
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
CoordConv
Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Vision-Project-Image-Segmentation
T2T-ViT - ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
CoordConv - Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.