573 Open source projects that are alternatives of or similar to Rrpn

Ros package for basic autonomous lane tracking and object detection

Be Driven 🚘

Research platform for 3D object detection in PyTorch.

ROS package to control an autonomous RC vehicle based on Raspberry Pi3

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

Using RetinaNet for object detection from drone images in Teknofest istanbul 2019 Artificial Intelligence Competition

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Best Practices, code samples, and documentation for Computer Vision.

OpenMMLab's next-generation platform for general 3D object detection.

PyTorch extensions for fast R&D prototyping and Kaggle farming

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

Object detection from images/point cloud using ROS

Efficient Featurized Image Pyramid Network for Single Shot Detector, CVPR, 2019

NaviGator ASV on-board software

Expose tensorflow-lite models via a rest API

Differentiable Duckietown

The ROS Package of Mask R-CNN for Object Detection and Segmentation

Convert any classification model or architecture trained in keras to an object detection model

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.

A PyTorch Implementation of Knowledge Distillation on SSD

Utilities to use tensorflow object detction api with a yolo like dataset

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Self-Driving Car Simulator

This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

Keras implementation of m2det object detection.

A general 3D object detection codebse.

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Wheat Detection challenge on Kaggle

Enabling Deep Residual Networks for Weakly Supervised Object Detection

SCUTTLE: Sensing, Connected, Utility Transport Taxi for Level Environments (Texas A&M's open-source Mobile Robot)

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

High quality, fast, modular reference implementation of SSD in PyTorch

Pepper Programs : Object Detection Real Time without ROS

Real-time Detectron using webcam.

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Serve machine learning models using tensorflow serving

The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

A collection of computer vision pre-trained models.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Hierarchical Shot Detector (ICCV2019)

Caffe implementation of multiple popular object detection frameworks

Detect traffic lights and classify the state of them, then give the commands "go" or "stop".

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

A project of Visual Inertial Odometry for Autonomous Vehicle

High level network definitions with pre-trained weights in TensorFlow

This is a repo for training and implementing the mobilenet-ssd v2 to tflite with c++ on x86 and arm64

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

How to train an object detection model with mmdetection

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]