ReIadnSan

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

mindspore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

caffe

Ristretto: Caffe-based approximation of convolutional neural networks.

ComputeLibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

GNNPapers

Must-read papers on graph neural network (GNN)

Incremental-Network-Quantization

Caffe Implementation for Incremental network quantization

LaneDetection_End2End

End-to-end Lane Detection for Self-Driving Cars

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

MobileNet

MobileNet build with Tensorflow

MobileNet-YOLO

A caffe implementation of MobileNet-YOLO detection network

openbilibili-go-common

嘘，不要问！我也不清楚这些是啥…

pva-faster-rcnn

Demo code for PVANet

pytorch-lmdb

ShuffleNet

This is a fast caffe implementation of ShuffleNet.

SSD-Tensorflow

Single Shot MultiBox Detector in TensorFlow

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.