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

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Video Platform for Action Recognition and Object Detection in Pytorch

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

deep learning for image processing including classification and object-detection etc.

Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usage

Deformable convolution net on Tensorflow

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

👷 👷👷 YOLO V3(Tensorflow 1.x) 安全帽 识别 | 提供数据集下载和与预训练模型

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

🟣 Object detection of abstract shapes with neural networks

📖 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.

Face mask detection system using Deep learning.

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

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

Accelerated deep learning R&D

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

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

Scale Normalization for Image Pyramids

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.

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)

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

Learning Rich Features at High-Speed for Single-Shot Object Detection, ICCV, 2019

Self hosted alternative to Google Photos

This is a repository for an object detection inference API using the Tensorflow framework.

Marvel - Face Recognition With Android & OpenCV

Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)

Home Assistant custom component for using Deepstack object detection

A novel region proposal network for more general object detection ( including scene text detection ).

thor: C++ helper library, for deep learning purpose

A binary library for very fast face detection using compact CNNs.

Out-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

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

Deep learning codes and projects using Python

Tensorflow Object Detection API Web Service wrapper that works on any <video> tag and WebRTC streams

weakly-supervised object detection platform.

Kesci underwater object detection algorithm contest

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Object Detection using TensorFlow on a Raspberry Pi

Object detection on multiple datasets with an automatically learned unified label space.

This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

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

YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker

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

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

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

Image segmentation - general superpixel segmentation & center detection & region growing

An Unsupervised Learning Framework for Moving Object Detection From Videos

This is a list of awesome articles about object detection from video.

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

PyTorch implementation of several SSD based object detection algorithms.

A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker

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.