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The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
[AAAI 2023] Official PyTorch implementation of the paper "IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation"
Code of "NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation", CVPR 2023
PyTorch implementation of Google's Mediapipe Iris Landmark model. The original code uses TFLite and their mediapipe workflow, which wouldn't work well with my codebase.
State-of-the-art 2D and 3D Face Analysis Project
Implementation of popular deep learning networks with TensorRT network definition API
Real-time face swap for PC streaming or video calls
🐍 Geometric Computer Vision Library for Spatial AI
Background Matting: The World is Your Green Screen
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"
end2end layout analysis based seq2seq
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
一个简单方便的目标检测框架(PyTorch环境可直接运行，不需要cuda编译)，支持Faster_RCNN、Cascade_RCNN、Yolo系列、SSD等经典网络。
该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
🍭 Cnblogs theme _ Basic theme : SimpleMemory
Examples and tools for deep learning deployment
ctcloss + centerloss crnn text recognition
Pytorch implementation of convolutional neural network visualization techniques