Lihit

Dancing2Music

music-artist-classification-crnn

Supplementary material for IJCNN paper "Musical Artist Classification with Convolutoinal Recurrent Neural Networks"

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

DeciWatch

[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"

CenseoQoE

image and video quality assessment

mmcv

OpenMMLab Computer Vision Foundation

amirstan_plugin

Useful tensorrt plugin. For pytorch and mmdetection model conversion.

mmdetection-to-tensorrt

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

CVPR-2021-Papers

point2mesh

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

rembg

Rembg is a tool to remove images background

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

dain-ncnn-vulkan

DAIN, Depth-Aware Video Frame Interpolation implemented with ncnn library

rapidjson

A fast JSON parser/generator for C++ with both SAX/DOM style API

stb

stb single-file public domain libraries for C/C++

TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

easyloggingpp

C++ logging library. It is extremely powerful, extendable, light-weight, fast performing, thread and type safe and consists of many built-in features. It provides ability to write logs in your own customized format. It also provide support for logging your classes, third-party libraries, STL and third-party containers etc.

Real_Time_Image_Animation

The Project is real time application in opencv using first order model

hecate

Automagically generate thumbnails, animated GIFs, and summaries from videos

Video-Highlight-Detection

video highlight detection with deep networks

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

tensorflow-tools

Python Scripts for working with Tensorflow

onnx_tflite_yolov3

A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).

model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

DAIN

Depth-Aware Video Frame Interpolation (CVPR 2019)

RGBD-to-Mesh

Converts RGBD images from Kinect sensor to a triangle mesh representation.Final Project for CIS565.

rgbd-slam-tutor2

The second version of RGBD SLAM tutorial. We will discuss more about pnp, tracking, multi-thread and loop closure methods. Please refer to my blog for details: www.cnblogs.com/gaoxiang12 .

rtabmap_ros

RTAB-Map's ROS package.