103 Open source projects that are alternatives of or similar to RetinaNet_Tensorflow

Visual Question Answering in Pytorch

Two-stage CenterNet

Helper functions to create COCO datasets

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

Computer vision based ML training data generation tool 🚀

仿coco点餐系统的微信小程序

Tensorflow Faster RCNN for Object Detection

FoveaBox: Beyond Anchor-based Object Detector

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

Mask RCNN in TensorFlow

various cv tools, such as label tools, data augmentation, label conversion, etc.

IceData: Datasets Hub for the *IceVision* Framework

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

DeepLab-LargeFOV implemented in tensorflow

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

PyTorch Implementation of Stacked U-Nets (SUNets)

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

How to create custom COCO data set for object detection

Free to use online tool for labelling photos. https://makesense.ai

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

PSPNet in Chainer

DeepLab-ResNet rebuilt in TensorFlow

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

DeepLabv3+ built in TensorFlow

Label images and video for Computer Vision applications

Real-time object detection on Android using the YOLO network with TensorFlow

DeepLab resnet v2 model in pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

Most popular metrics used to evaluate object detection algorithms.

This repository contains the source code of our work on designing efficient CNNs for computer vision

DeepLabv3 built in TensorFlow

Convert between visual object detection datasets

DeepLab-ResNet rebuilt in Pytorch

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

OpenMMLab Detection Toolbox and Benchmark

Pytorch implementation of RetinaNet object detection.

TensorFlow2.x implementation of RetinaNet