Voc Open Source Projects

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

A PyTorch Implementation of Single Shot MultiBox Detector

:beer: Portando discussões feitas em grupos (Facebook, Google Groups, Slack, Disqus) para o GitHub Discussions

Deformable Convolutional Networks

Single Shot MultiBox Detector in TensorFlow

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Tensorflow Faster RCNN for Object Detection

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

Fast R-CNN

DeepLab v3+ model in PyTorch. Support different backbones.

Faster R-CNN

YAD2K: Yet Another Darknet 2 Keras

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

R-CNN: Regions with Convolutional Neural Network Features

Faster-RCNN in Tensorflow

Desafio técnico - Backend

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

A Keras port of Single Shot MultiBox Detector

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

Faster RCNN with PyTorch

Deep Clustering for Unsupervised Learning of Visual Features

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Training and Detecting Objects with YOLO3

High quality, fast, modular reference implementation of SSD in PyTorch

Fully Convolutional Instance-aware Semantic Segmentation

YOLOv2 in PyTorch

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)

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

DeepLab-ResNet rebuilt in TensorFlow

Implementations of few-shot object detection benchmarks

convert dataset to coco/voc format

PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets

Caffe implementation of multiple popular object detection frameworks

Descomplicando o trabalhar para fora

Deep Image Matting

:art: Pytorch YOLO v5 训练自己的数据集超详细教程！！！ :art: (提供PDF训练教程下载）

动手学CV-Pytorch版

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

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

Pelee: A Real-Time Object Detection System on Mobile Devices

FastER RCNN built on tensorflow

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

DeepLabv3+ built in TensorFlow

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Dilated Convolution for Semantic Image Segmentation

tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

Image Segmentation and Object Detection in Pytorch

这是一个ssd-pytorch的源码，可以用于训练自己的模型。

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

Lançando o maior software livre de educação do Brasil!

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

A one-stop repository for low-code easily-installable object detection pipelines.