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

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

Pre-trained Deep Learning models and demos (high quality and extremely fast)

Largest list of models for Core ML (for iOS 11+)

YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js

Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset

OpenGL C++ Graphics Engine

YOLO for object detection tasks

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

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

A single model for shaping, creating, accessing, storing data within a Database

Yolo With OpenCvSharp Dnn

Engine for ML/Data tracking, visualization, dashboards, and model UI for Polyaxon.

The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

This is a Tensorflow Java example application what uses YOLOv2 model and Gradle for build and dependency management.

javascript implementation of "tracker by detections" for realtime multiple object tracking (MOT)

CNN model inference benchmarks for some popular deep learning frameworks

A PyTorch implementation of a YOLO v2 Object Detector

No description or website provided.

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

基于深度学习的视频人脸检测

Create a netflix-like service using Django. Learn advanced Django techniques to achieve amazing results like never before.

Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

🍉 移动端TNN部署学习笔记，支持Android与iOS。

Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.

Run keras models with a Flux backend

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

🤖 PyTorch toolkit for biomedical imaging ❤️

使用SpingBoot、OpenCV、yolo开发舌诊小程序

A Caffe2 implementation of the YOLO v3 object detection algorithm

Google USE (Universal Sentence Encoder) for spaCy

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

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

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

Detects objects in images/streaming video

using yolox+deepsort for object-tracking

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

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

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

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

Traits for laravel eloquent models

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

Go bindings for Darknet (YOLO v4 / v3)

Store internationalized strings in Django models with full forms support

Visualisation for statistical models.

A video analysis tool built completely in python.

🦅Hyperparameter optimization for machine learning pipelines 🦅

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

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.

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

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

Etiketai is an online tool designed to label images, useful for training AI models

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

Implementation of YoloV3 and Caffe in OpenCvSharp

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

Convert JSON annotations into YOLO format.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Object detection on Jetson Nano, Raspberry Pi and Laptop

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