459 Open source projects that are alternatives of or similar to Fcos_plus

OpenCV trained detection models: Haar, HOG and other

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

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

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.

🟣 Object detection of abstract shapes with neural networks

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

Boundary-preserving Mask R-CNN (ECCV 2020)

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

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

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

Face mask detection system using Deep learning.

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

Tiny YOLO v2 object detection with tensorflow.js.

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Fast and accurate object detection with end-to-end GPU optimization

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

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

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

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

Keras Object Detection API with YOLK project 🍳

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

Accelerated deep learning R&D

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.

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

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)

Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)

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

Codebase of the paper "Feature Intertwiner for Object Detection", ICLR 2019

Two-stage CenterNet

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

Detectorch - detectron for PyTorch

Implementing Bag of Visual words approach for object classification and detection

CV 论文笔记

Scale Normalization for Image Pyramids

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

📖 👆🏻 Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.

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

After Apple’s introduction of ARKit 2, we have been consistently working behind to create shared-AR experiences. Our goal is to improve the utility of mobile using AR experiences.

Keras package for region-based convolutional neural networks (RCNNs)

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)

A Python wrapper on Darknet. Compatible with YOLO V3.

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

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

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

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

VoVNet backbone networks for detectron2, in CVPR 2020

🌮 Trash Annotations in Context Dataset Toolkit

The remake of the https://github.com/biubug6/Pytorch_Retinaface

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

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

Using RetinaNet for object detection from drone images in Teknofest istanbul 2019 Artificial Intelligence Competition