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

A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.

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

Object Detection

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

To speedup and simplify image labeling/ annotation process with multiple supported formats.

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Yolo to COCO annotation format converter

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

person detect based on yolov3 with several Python scripts

The Official PyTorch Implementation of DiscoBox.

C development system for (Nitr)OS9/6x09, with source

The official homepage of the (outdated) COCO-Stuff 10K dataset.

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

some tools about pascal voc format dataset

Image Captions Generation with Spatial and Channel-wise Attention

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

RetinaNet in tensorflow

Convert JSON annotations into YOLO format.

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

The fastest crypto online

CC游戏案例之 组队吃鸡

FCOS: Fully Convolutional One-Stage Object Detection.

✏️ Web-based image segmentation tool for object detection, localization, and keypoints

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Simple mmdetection CPU inference

A simple utility programe to visualize pascal voc (format) dataset images with bounding boxes. Useful to check whether there is any error in forming annotation files.

Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO and robotic vision challenge (RVC) data.

JumpServer 是全球首款开源的堡垒机，是符合 4A 的专业运维安全审计系统。

CC游戏案例之 激流竞速

Object detection on multiple datasets with an automatically learned unified label space.

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

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Object Detection API Tensorflow

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

一些数据集处理相关的 API

WIDER FACE annotations converted to the Pascal VOC XML format

Detect humans in an image and estimate the pose for each person

Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition

Serve machine learning models using tensorflow serving

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

FCOS: Fully Convolutional One-Stage Object Detection.

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

CC游戏案例之 斗兽棋

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

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Tools for object detection annotations in machine learning

OpenMMLab Pose Estimation Toolbox and Benchmark.

Implementation of Weakly Supervised Deep Detection Networks using the latest version of PyTorch

Object detection and localization with Tensorflow 2 and Keras

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Extended COCO-API

convert dataset to coco/voc format

Simple COCO Viewer in Tkinter

Sample apps to demonstrate how to deploy models trained with TAO on DeepStream