Stars
复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！
Pytorch to Keras/Tensorflow/TFLite conversion made intuitive
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-t…
[CVPR 2023] STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
Library and utilities for 3d reconstruction from stereo cameras.
A toolkit for monocular/binocular camera (self-)calibration and rectification.
Dataset and code for the paper "First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations", CVPR 2018.
Code for paper 'Self-learning Transformations for Improving Gaze and Head Redirection'
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
[ECCV 2024] Official implementation of the paper "X-Pose: Detecting Any Keypoints"
Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
A simple face detect and alignment method, which is easy and stable.
Lecture notes, projects and other materials for Course 'CS205 C/C++ Program Design' at Southern University of Science and Technology.
An open source library for face detection in images. The face detection speed can reach 1000FPS.
The training program for libfacedetection for face detection and 5-landmark detection.
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
Metric depth estimation from a single image
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
The codes and models in 'Gaze Estimation using Transformer, ICPR2022'.
What Do You See in Vehicle? Comprehensive Vision Solution for In-Vehicle Gaze Estimation