1666 Open source projects that are alternatives of or similar to Vision3d

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

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

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Face detection using deep learning.

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.

Deformable convolution net on Tensorflow

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

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

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

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

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

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

A resource repository for 3D machine learning

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

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

Real-time Detectron using webcam.

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.

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

motion planning algorithms with demos for various state-spaces

Yolo (Real time object detection) model training tutorial with deep learning neural networks

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

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

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

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❗❗

Free to use online tool for labelling photos. https://makesense.ai

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

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

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

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.

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

A general 3D object detection codebse.

3D LIDAR-based Graph SLAM

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

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

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

🎨 🎨 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/

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

Deep Hough Voting for 3D Object Detection in Point Clouds

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

Be Driven 🚘

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Frustum PointNets for 3D Object Detection from RGB-D Data

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

SynthDet - An end-to-end object detection pipeline using synthetic data

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Ros package for basic autonomous lane tracking and object detection

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.