1030 Open source projects that are alternatives of or similar to Yolo2 Pytorch

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

nGraph has moved to OpenVINO

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

This repo is implemented based on detectron2 and centernet

Visualizer for neural network, deep learning, and machine learning models

Caffe2 is a lightweight, modular, and scalable deep learning framework.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

yolo(all versions) implementation in keras and tensorflow 2.4

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

An Unsupervised Learning Framework for Moving Object Detection From Videos

Samples and Tools for Windows ML.

Setup and customize deep learning environment in seconds.

Gluon to PyTorch deep neural network model converter

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k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

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

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

A paper list of object detection using deep learning.

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

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

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

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

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

[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.

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

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

YOLO: You only look once real-time object detector

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

R Interface to Open Neural Network Exchange (ONNX)

Pytorch implementation of the DeepDream computer vision algorithm

📖 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.

Caffe2 implementation of Open Neural Network Exchange (ONNX)

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

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

Open standard for machine learning interoperability

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

🙄 Difficult algorithm, Simple code.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

SWA Object Detection

Open Toolkit for Painless Object Detection

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

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

TensorFlow implementation of the YOLO (You Only Look Once)

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

YOLO for object detection tasks

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

C# Yolo Darknet Wrapper (real-time object detection)

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Deep neural models for core NLP tasks (Pytorch version)

Keras tutorial for beginners (using TF backend)

Tensorflow Faster RCNN for Object Detection

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An easy to understand and better performance version of CenterNet

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms