650 Open source projects that are alternatives of or similar to Driving In The Matrix

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Simpler app for tensorflow object detection API

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Automatic Number (License) Plate Recognition using Tensorflow Object Detection API

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

Boundary-preserving Mask R-CNN (ECCV 2020)

Deep Learning toolkit for Computer Vision.

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

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

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

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

OpenMMLab Detection Toolbox and Benchmark

Build fully-functioning computer vision models with PyTorch

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. On ArXiv 2020

Ros package for basic autonomous lane tracking and object detection

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

Face detection using deep learning.

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

End-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

Caffe implementation of our multi-scale object detection framework

无人驾驶相关论文速递

A PyTorch Detectron codebase for domain adaptation of object detectors.

High level network definitions with pre-trained weights in TensorFlow

A car detection model implemented in Tensorflow.

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

Tensorflow Faster RCNN for Object Detection

[S+SSPR2020] IterDet: Iterative Scheme for Object Detection in Crowded Environments

Be Driven 🚘

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

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

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

Python and OpenCV based object tracking software

Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

FaceBoxes for hand detection in PyTorch

Use the Tensorflow Object Detection API with Tensorflow 2

How to run YOLO on Jetson TX2

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

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

MonoLayout: Amodal Scene Layout from a single image

3d bounding box estimation from monocular image based on 2d bounding box

⚡️ The Mobile Robot Programming Toolkit (MRPT)

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Awesome Resources for Advanced Computer Vision Topics

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.

FrostNet: Towards Quantization-Aware Network Architecture Search

Deep Hough Voting for 3D Object Detection in Point Clouds

A data generator for 2D object detection

R interface to fast.ai

PANet for Instance Segmentation and Object Detection

This is sample code for object detection using OpenCV on android

capsule networks that achieves outstanding performance on the German traffic sign dataset

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

A pure torch implement of FCOS 37.2AP

Making custom object detector using Yolo (Java and Python)

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