Sundrops

pytorch-faster-rcnn

video-caption.pytorch

caffe-rgh

my caffe

flownet-rgh

neural-motifs

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

pytorch

pytorch 源码注释， 尝试中。。。。。

Pytorch_Mask_RCNN

Converted from [tf+keras version MASK-RCNN](https://github.com/matterport/Mask_RCNN)

AnchorDETR

An official implementation of the Anchor DETR.

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

CenterPoint

CNN-Numpy

Inplement an CNN frame with Numpy, easy to learn, hard to use hhhh

ConditionalDETR

This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)

DAB-DETR

[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

detr

End-to-End Object Detection with Transformers

gluon-cv

Gluon CV Toolkit

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

interview-with-Vadim

maskrcnn-benchmark-1

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

PytorchSSD

pytorch version of SSD and it's enhanced methods.

PytorchToCaffe

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1

Relation_Networks-pytorch

Relation Networks for object detection based pytorch

sundrops.github.io

CSIG视觉大数据专委会

tiny_lib

imitate the lib that under pytorch

tvnet

End-to-End Learning of Motion Representation for Video Understanding

video-classification-3d-cnn-pytorch

Video classification tools using 3D ResNet

vision

Datasets, Transforms and Models specific to Computer Vision