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caffe

Caffe: a fast open framework for deep learning.

caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

caffe-yolov3-windows

A windows caffe implementation of YOLO detection network

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

cascade-rcnn_pytorch

An implementation of Cascade R-CNN: Delving into High Quality Object Detection.

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

darknet-1

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

darknet2caffe

Convert darknet weights to caffemodel

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

densebox

densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

dilation

Dilated Convolution for Semantic Image Segmentation

edgeai

EdgeAI Software and Development Tools

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

feature_extract-from-caffe

Use python script to extract feature from trained caffe-net,images and file-label pair text in the form of 1-D array.

fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

learning

libtorch-yolov3

A Libtorch implementation of the YOLO v3 object detection algorithm

literaturedl4graph

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmdetection-annotated

（continue to be updated）Note on mmdetection for better usage and understand

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenetv2-ssdlite

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

mobilenetv2-ssdlite-1

My proprietary procedure. Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

mobilenetv2_ssd

Caffe implementation of mobilenetv2_ssd detection network.

mvsnet

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

opence

Contrast Enhancement Techniques for low-light images