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

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

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

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

TensorFlow implementation of the YOLO (You Only Look Once)

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

LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.

Self-hosted NVR with object detection

OpenMMLab Detection Toolbox and Benchmark

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

A simple pytorch implementation of CenterNet (Objects as Points)

👁 Sightseer: TensorFlow library for state-of-the-art Computer Vision and Object Detection models

Video detection library

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

⚾🤖⚾ Automatic baseball pitching overlay in realtime

Synthetic Image generation with Flip. Generate thousands of new 2D images from a small batch of objects and backgrounds.

Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

Perception toolkit for sim2real training and validation

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

D2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)

A Python Library for Document Layout Understanding

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

Faster R-CNN / R-FCN 💡 C++ version based on Caffe

Make drawing and labeling bounding boxes easy as cake

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Image processing using python and opencv

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

Video Platform for Action Recognition and Object Detection in Pytorch

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

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

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

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

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

Marvel - Face Recognition With Android & OpenCV

weakly-supervised object detection platform.

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

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

Deep learning codes and projects using Python

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

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

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

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

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.

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

Deep Learning toolkit for Computer Vision.

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

Accelerated deep learning R&D

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

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

YoloV3 Implemented in Tensorflow 2.0

PyTorch implementation of several SSD based object detection algorithms.

CVPR 2018: Structure Inference Net for Object Detection

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

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

Self hosted alternative to Google Photos

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

YOLO: You only look once real-time object detector

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

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

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

An extensive ROS toolbox for object detection & tracking and face/action recognition with 2D and 3D support which makes your Robot understand the environment