Repos on Object Detection, Segmentation and Tracking
Ranging from a simple binary classification to a more complex classification in a dynamic scenario e.g. in a moving vehicle, sophisticated methods for object detection, object segmentation and tracking is very important and crucial. In recent years, these topics are gaining many attentions in scientific and research communities.
The following list below gives 50+ repositories which address object detection, object segmentation and object tracking.
| amusi/awesome-object-detection | Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html |
| AntonMu/TrainYourOwnYOLO | Train a state-of-the-art yolov3 object detector from scratch! |
| avanetten/simrdwn | Rapid satellite imagery object detection |
| ayooshkathuria/pytorch-yolo-v3 | A PyTorch implementation of the YOLO v3 object detection algorithm |
| blakeblackshear/frigate | NVR with realtime local object detection for IP cameras |
| cloud-annotations/training | Custom Object Detection and Classification Training |
| curiousily/Deep-Learning-For-Hackers | Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT) |
| DeNA/PyTorch_YOLOv3 | Implementation of YOLOv3 in PyTorch |
| Duankaiwen/CenterNet | Codes for our paper “CenterNet: Keypoint Triplets for Object Detection” . |
| EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10 | How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows |
| EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi | A tutorial showing how to set up TensorFlow’s Object Detection API on the Raspberry Pi |
| emadboctorx/yolov3-keras-tf2 | yolo implementation in keras and tensorflow 2.2 |
| eriklindernoren/PyTorch-YOLOv3 | Minimal PyTorch implementation of YOLOv3 |
| experiencor/keras-yolo2 | Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows). |
| facebookresearch/Detectron | FAIR’s research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. |
| facebookresearch/detectron2 | Detectron2 is FAIR’s next-generation platform for object detection and segmentation. |
| facebookresearch/detr | End-to-End Object Detection with Transformers |
| facebookresearch/maskrcnn-benchmark | Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch. |
| fizyr/keras-retinanet | Keras implementation of RetinaNet object detection. |
| foolwood/SiamMask | [CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach |
| got-10k/toolkit | Official Python toolkit for generic object tracking benchmark GOT-10k and beyond |
| HCIILAB/DeRPN | A novel region proposal network for more general object detection ( including scene text detection ). |
| HKUST-Aerial-Robotics/Stereo-RCNN | Code for ‘Stereo R-CNN based 3D Object Detection for Autonomous Driving’ (CVPR 2019) |
| hoya012/deep_learning_object_detection | A paper list of object detection using deep learning. |
| hunglc007/tensorflow-yolov4-tflite | YOLOv4, YOLOv3, YOLO-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite |
| ifzhang/FairMOT | A simple baseline for one-shot multi-object tracking |
| JunweiLiang/Object_Detection_Tracking | Out-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20 |
| KerasKorea/KerasObjectDetector | Keras Object Detection API with YOLK project |
| mahyarnajibi/SNIPER | SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm |
| matterport/Mask_RCNN | Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow |
| maudzung/Complex-YOLOv4-Pytorch | The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds" |
| microsoft/VoTT | Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos. |
| open-mmlab/mmdetection3d | OpenMMLab's next-generation platform for general 3D object detection. |
| PaddlePaddle/PaddleDetection | Object detection and instance segmentation toolkit based on PaddlePaddle. |
| PengyiZhang/SlimYOLOv3 | This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications |
| pythonlessons/TensorFlow-2.x-YOLOv3 | YOLOv3 implementation in TensorFlow 2.3.1 |
| pythonlessons/TensorFlow-object-detection-tutorial | The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch |
| qqwweee/keras-yolo3 | A Keras implementation of YOLOv3 (Tensorflow backend) |
| streamlit/demo-self-driving | Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO. |
| STVIR/pysot | SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask. |
| Tessellate-Imaging/Monk_Object_Detection | A one-stop repository for low-code easily-installable object detection pipelines. |
| tianzhi0549/FCOS | FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19) |
| toandaominh1997/EfficientDet.Pytorch | Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch |
| traveller59/second.pytorch | SECOND for KITTI/NuScenes object detection |
| TuSimple/simpledet | A Simple and Versatile Framework for Object Detection and Instance Recognition |
| ultralytics/yolov3 | YOLOv3 in PyTorch > ONNX > CoreML > iOS |
| wizyoung/YOLOv3_TensorFlow | Complete YOLO v3 TensorFlow implementation. Support training on your own dataset. |
| WongKinYiu/PyTorch_YOLOv4 | PyTorch implementation of YOLOv4 |
| xingyizhou/CenterNet | Object detection, 3D detection, and pose estimation using center point detection: |
| xingyizhou/ExtremeNet | Bottom-up Object Detection by Grouping Extreme and Center Points |
| xuannianz/EfficientDet | EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow |
| yehengchen/Object-Detection-and-Tracking | YOLO & RCNN Object Detection and Multi-Object Tracking |
| YunYang1994/tensorflow-yolov3 | pure tensorflow Implement of YOLOv3 with support to train your own dataset |
| zzh8829/yolov3-tf2 | YoloV3 Implemented in Tensorflow 2.0 |
