6381 Open source projects that are alternatives of or similar to Robust Physical Attack

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

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

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

OpenMMLab Detection Toolbox and Benchmark

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

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This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

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

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

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

🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）

Google Brain AutoML

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

High level network definitions with pre-trained weights in TensorFlow

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

Keras Object Detection API with YOLK project 🍳

Expose tensorflow-lite models via a rest API

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

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Port of Single Shot MultiBox Detector to Keras

Deep Learning toolkit for Computer Vision.

Simpler app for tensorflow object detection API

Self hosted alternative to Google Photos

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

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

🌮 Trash Annotations in Context Dataset Toolkit

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

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

Deep learning codes and projects using Python

Tensorflow Faster RCNN for Object Detection

项目注释+论文复现+算法竞赛

Train a state-of-the-art yolov3 object detector from scratch!

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

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Build fully-functioning computer vision models with PyTorch

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

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

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

Data Augmentation For Object Detection

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

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.

How to train an object detection model with mmdetection

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.

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.

FCOS: Fully Convolutional One-Stage Object Detection.

YOLOv2 trained against custom dataset

Python and OpenCV based object tracking software

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

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

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🙄 Difficult algorithm, Simple code.