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awesome-deep-neural-network-compression

Summary, Code for Deep Neural Network Quantization

awesome-lane-detection

A paper list of lane detection.

awesome-visual-odometry

A curated list of awesome visual odometry resources.

bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

c-thread-pool

A minimal but powerful thread pool in ANSI C

caffe

Caffe-ssd: a fast open framework for deep learning adapted for Raspberry Pi, Jetson Nano and Ubuntu. Fixed for cuDNN 8

camlasercalibratool

Extrinsic Calibration of a Camera and 2d Laser

cavaface.pytorch

:beers: :rocket: :city_sunset: face recognition project(pytorch)

cmake-cookbook

CMake Cookbook recipes.

cmake-demo

《CMake入门实战》源码

cnn_forward

CNN(Convolutional neural network) forward code which requires little dependency(Opencv, TBB-optional) and is easy to run on Windows(using caffe's model)

context-aware-cf-tracking

convnext

Code release for ConvNeXt model

correlation_filtering_tracking_lib

Correlation filter based tracking algorithms(KCF, DSST, STAPLE) implemented by C++. [C++实现的与相关滤波相关的跟踪算法（KCF, DSST, Staple）]

cuda-notes

高性能编程 笔记

cvpr2021_pdnet

deepmodeldeploy

Deploy deep learning model on difference hardware and framework. (TensorRT/ONNX/MNN/RKNN)

deepsorttracking_cpp

C++版本多目标跟踪

dense-reppoints

Dense reppoints: Representing visual objects with dense point sets https://arxiv.org/abs/1912.11473

depthmapto3d

实现了双目立体视觉标定(畸变与极线矫正)、深度图计算、获取像素点的空间坐标、三维点云显示。a simple demon of constructing a 3D pointcloud using stereo camera and it's depth map

dl-algorithm-summary

深度学习总结，包含基础知识、目标检测、目标跟踪、目标分类，深度学习八股文，相关竞赛等

droid-slam

dxslam

face.evolve

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

fastestdet

:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler

fastestdet_ncnn

完成轻量化网络FastestDet的算法NCNN部署

fdsst_cpp

C++ re-implementation of fast Discriminative Scale Space Tracking.

featuretracker

Features detection, match and track module. Supported features: orb and superpoints

flexible-yolov5

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet) and (cbam，dcn and so on), and tensorrt

forward-caffe