195 Open source projects that are alternatives of or similar to DiscoBox

FoveaBox: Beyond Anchor-based Object Detector

CC游戏案例之 斗兽棋

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.

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)

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

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

IceData: Datasets Hub for the *IceVision* Framework

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

Convert JSON annotations into YOLO format.

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

Two-stage CenterNet

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.

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.

仿coco点餐系统的微信小程序

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

Mask RCNN in TensorFlow

FCOS: Fully Convolutional One-Stage Object Detection.

Focal Loss for Dense Object Detection.

Yolo to COCO annotation format converter

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

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

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

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

Object Detection

Visual Question Answering in Pytorch

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.

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

Helper functions to create COCO datasets

The official homepage of the (outdated) COCO-Stuff 10K dataset.

Computer vision based ML training data generation tool 🚀

The fastest crypto online

Tensorflow Faster RCNN for Object Detection

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

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

CC游戏案例之 组队吃鸡

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

person detect based on yolov3 with several Python scripts

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

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

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

Automatically labeling training data

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

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

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

Image Captions Generation with Spatial and Channel-wise Attention

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

Serve machine learning models using tensorflow serving

Simple COCO Viewer in Tkinter

No description or website provided.

CC游戏案例之 激流竞速

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

一些数据集处理相关的 API

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

OpenMMLab Pose Estimation Toolbox and Benchmark.

WRENCH: Weak supeRvision bENCHmark

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

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。

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

convert dataset to coco/voc format