532 Open source projects that are alternatives of or similar to D2det

Implement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》

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

YOLO ROS: Real-Time Object Detection for ROS

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

a global localization system with object detection in semantic map

Scale Normalization for Image Pyramids

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

YOLOv5 C++ Implementation on Android using NCNN framework

Port of Single Shot MultiBox Detector to Keras

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

VarifocalNet: An IoU-aware Dense Object Detector

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

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

Physical adversarial attack for fooling the Faster R-CNN object detector

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.

Inference Code for Polygon-RNN++ (CVPR 2018)

💳 Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

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

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Deep Learning sample programs using PyTorch in C++

PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)

Learning Rich Features at High-Speed for Single-Shot Object Detection, ICCV, 2019

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

Neural Nets for Nudity Detection and Censoring

Self-hosted NVR with object detection

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

TensorFlow models accelerated with NVIDIA TensorRT

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

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

Implementing Bag of Visual words approach for object classification and detection

Self hosted alternative to Google Photos

Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗

📖 👆🏻 Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.

Keras implementation of yolo v3 object detection.

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Two-stage CenterNet

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Domain Adaptive Faster R-CNN in PyTorch

Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)

YOLO object detector for Movidius Neural Compute Stick (NCS)

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

YOLACT: Real-time Instance Segmentation on the FCOS detector (without bbox cropping), achives 35.2mAP on coco val

A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection

How to train an object detection model with mmdetection