Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Mmdetection | 26,886 | 1 | 31 | 3 months ago | 52 | October 12, 2023 | 1,381 | apache-2.0 | Python | |
OpenMMLab Detection Toolbox and Benchmark | ||||||||||
Paddledetection | 11,653 | 1 | 4 months ago | 9 | September 19, 2022 | 1,416 | apache-2.0 | Python | ||
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection. | ||||||||||
Tf Faster Rcnn | 3,595 | 3 years ago | 215 | mit | Python | |||||
Tensorflow Faster RCNN for Object Detection | ||||||||||
Simple Faster Rcnn Pytorch | 3,107 | 3 years ago | 164 | other | Jupyter Notebook | |||||
A simplified implemention of Faster R-CNN that replicate performance from origin paper | ||||||||||
Luminoth | 2,395 | a year ago | 61 | bsd-3-clause | Python | |||||
Deep Learning toolkit for Computer Vision. | ||||||||||
Tensornets | 968 | 2 | 2 | 3 years ago | 12 | March 31, 2020 | 15 | mit | Python | |
High level network definitions with pre-trained weights in TensorFlow | ||||||||||
Relation Networks For Object Detection | 911 | 6 years ago | 12 | mit | Python | |||||
Relation Networks for Object Detection | ||||||||||
Icevision | 823 | 6 | 10 months ago | 41 | February 10, 2022 | 85 | apache-2.0 | Python | ||
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come | ||||||||||
Mmdetection To Tensorrt | 562 | 8 months ago | 62 | apache-2.0 | Python | |||||
convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc. | ||||||||||
Hrnet Object Detection | 549 | 4 years ago | n,ull | apache-2.0 | Python | |||||
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919 |