606 Open source projects that are alternatives of or similar to Yolo Darknet On Jetson Tx2

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

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

Fish detection using Open Images Dataset and Tensorflow Object Detection

A PyTorch Implementation of Knowledge Distillation on SSD

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.

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

The System consists of two main components. Vehicle detection model and A graphical user interface (GUI)

🎥 iOS11 demo application for dominant objects detection.

Implementation of SSD (Single Shot MultiBox Detector) using Chainer

YOLO: Real-Time Object Detection using Tensorflow and easy to use

A general 3D object detection codebse.

FrostNet: Towards Quantization-Aware Network Architecture Search

To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper

A curated list of repositories for my book Machine Learning Solutions.

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

Expose tensorflow-lite models via a rest API

Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

Real-time Detectron using webcam.

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

An open source tool to quantify the world

SECOND for KITTI/NuScenes object detection

Serve machine learning models using tensorflow serving

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.

Adaptive Real-Time Object Detection System with HOG and CNN Features

gender/age classification

A collection of computer vision pre-trained models.

Hands video tracker using the Tensorflow Object Detection API and Faster RCNN model. The data used is the Hand Dataset from University of Oxford.

R interface to fast.ai

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

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

Yet Another MXnet DETection

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

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

Python and OpenCV based object tracking software

Annotation tool for images

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

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

generate physically realistic synthetic dataset of cluttered scenes using 3D CAD models to train CNN based object detectors

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

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.

FaceBoxes for hand detection in PyTorch

极速检测标注工具An efficient tool for objection detection annotation

Keras implementation of m2det object detection.

Object detection from images/point cloud using ROS

YOLOv2 algorithm reimplementation with pytorch

🚀 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!

Use the Tensorflow Object Detection API with Tensorflow 2

Kill a random process

Enabling Deep Residual Networks for Weakly Supervised Object Detection

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

Port of Single Shot MultiBox Detector to Keras

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

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

Fast Object Detector for the Jetson Nano

An open source framework for deep learning on satellite and aerial imagery.

A newly built high-resolution dataset for object detection and pedestrian detection (IEEE TIP 2020)

A Mask R-CNN Keras implementation with Modanet annotations on the Paperdoll dataset

Pepper Programs : Object Detection Real Time without ROS

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