345 Open source projects that are alternatives of or similar to caffe2-yolo

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Authentic Model Improvements for Quake

🤖 PyTorch toolkit for biomedical imaging ❤️

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

使用SpingBoot、OpenCV、yolo开发舌诊小程序

The back-end for the YOLOv3 object detector running as a webapp

A Caffe2 implementation of the YOLO v3 object detection algorithm

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !

Google USE (Universal Sentence Encoder) for spaCy

[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.

A Lumen package to provide a familiar model paradigm for distributed data.

Using ML to create a ForEx trader to invest my personal finances to get rid of student debt

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.

Taking the O out of ORM.

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

Detects objects in images/streaming video

Detect vehicles in a video

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

using yolox+deepsort for object-tracking

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transformers.

Android application for gender, age and face recognition using OpenCV and JavaCV libraries

A neural network for CounterStrike:GlobalOffensive character detection and classification. Built on a custom-made dataset (csgo-data-collector)

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Backport of the cross-DB JSONField model and form fields from Django 3.1.

A simple human recognition api for re-ID usage, power by paper https://arxiv.org/abs/1703.07737

YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)

Traits for laravel eloquent models

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

Got 100fps on TX2. Got 500fps on GeForce GTX 1660 Ti. If the project is useful to you, please Star it.

A forked AlexeyAB Darknet repo with extra convenient functions.

Go bindings for Darknet (YOLO v4 / v3)

Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine

Store internationalized strings in Django models with full forms support

Paddle-YOLOv4,supports training, at least 41.1% mAP.支持训练，至少41.1%mAP。少数的给出精度的复现。

Visualisation for statistical models.

A collaborative tool for labeling image data for yolo

A video analysis tool built completely in python.

Computer Vision application in the web

🦅Hyperparameter optimization for machine learning pipelines 🦅

🐛 🐛 Opencv视频流传输到网页浏览器并做目标检测 🐛 🐛

Aiding the visually impaired through real time augmented reality, AI object detection, WebGL shaders effects such as edge detection, and colour adjustments.

Vehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

OpenCV based DNN Object Detection Library for Openframeworks

An OBSOLETE instructional OS X application to load/display COLLADA Models and export to compact binary representations.

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Recompile the library with caffe2 in pytorch stable(1.0) and re-implement the AICamera example provided by caffe2 officially.

Just another YOLO V2 implementation. Train your own dataset in a jupyter notebook!

💥Make your yolov5 dataset by using labelimg.I hope my work can help you make your yolov5 datasets more quickly.

Convert image folder to lmdb, adapted from Efficient-PyTorch

Implementation of YoloV3 and Caffe in OpenCvSharp

Object detection on Jetson Nano, Raspberry Pi and Laptop

Generate Python model classes (pydantic, attrs, dataclasses) based on JSON datasets with typing module support

Vue.js example application (server-side rendering, router, vuex store, form validation, i18n & l10n)

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Make custom objects dataset and detect them using darkflow. Darkflow is a tensorflow translation of Darknet.

Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"

Conversion of yolo from DarkNet to Caffe