6409 Open source projects that are alternatives of or similar to Simple Faster Rcnn Pytorch

Tensorflow Faster RCNN for Object Detection

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

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

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

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

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

FCOS: Fully Convolutional One-Stage Object Detection.

Simpler app for tensorflow object detection API

How to run Object Detection and Segmentation on a Video Fast for Free

Boundary-preserving Mask R-CNN (ECCV 2020)

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

Copy-paste augmentation for segmentation and detection tasks

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.

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

Python and OpenCV based object tracking software

How to train an object detection model with mmdetection

🙄 Difficult algorithm, Simple code.

Keras Object Detection API with YOLK project 🍳

Some experiments with object detection in PyTorch

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

Face mask detection system using Deep learning.

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

🟣 Object detection of abstract shapes with neural networks

Deep learning codes and projects using Python

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

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

High level network definitions with pre-trained weights in TensorFlow

Expose tensorflow-lite models via a rest API

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

Fish detection using Open Images Dataset and Tensorflow Object Detection

Port of Single Shot MultiBox Detector to Keras

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.

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

A PyTorch Detectron codebase for domain adaptation of object detectors.

YOLOv2 trained against custom dataset

Self hosted alternative to Google Photos

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

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

How to train an object detection model easy for free

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

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

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

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

YoloV3 Implemented in Tensorflow 2.0

Face detection using deep learning.

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

OpenMMLab Detection Toolbox and Benchmark

🌮 Trash Annotations in Context Dataset Toolkit

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

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

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

Deep Learning toolkit for Computer Vision.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Data Augmentation For Object Detection

How to create custom COCO data set for object detection

Siamese Mask R-CNN model for one-shot instance segmentation

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)