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GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
A Semantic Controllable Self-Supervised Learning Framework to learn general human representations from massive unlabeled human images, which can benefit downstream human-centric tasks to the maximu…
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Collection of public available person re-identification datasets
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
🕶 A curated list of Tiny Object Detection papers and related resources.
Latest paper about small object detection
🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!
Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these meth…
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A comprehensive collection of IQA papers
Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
OpenMMLab Detection Toolbox and Benchmark
Extensible, parallel implementations of t-SNE
Examples of matplotlib codes and plots
Removes backgrounds from pictures. Extension for webui.
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
Learn OpenCV : C++ and Python Examples
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
The interactive graphing library for Python ✨ This project now includes Plotly Express!