3252 Open source projects that are alternatives of or similar to Deepdetect

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

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

The collection of pre-trained, state-of-the-art AI models for ailia SDK

PyTorch Project Specification.

Use PyTorch model in C++ project

Deep learning codes and projects using Python

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

Classifying the Blur and Clear Images

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

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

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

C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Squeeze-and-Excitation Networks

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

A list of popular deep learning models related to classification, segmentation and detection problems

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

Watson is the fastest, easiest way to build scalable RESTful web servers and services in C#.

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

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

qihoo360 xlearning with GPU support; AI on Hadoop

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

🍎 My own face recognition with deep neural networks.

Train a state-of-the-art yolov3 object detector from scratch!

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

PyTorch implementation of the YOLO (You Only Look Once) v2

Deep Learning GPU Training System

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

An example of using Tensorflow with Unity for image classification and object detection.

Keras package for region-based convolutional neural networks (RCNNs)

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

Gluon CV Toolkit

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Setup and customize deep learning environment in seconds.

Glass - ISC DHCP Server Interface

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A repository to keep track of all the code that I end up writing for my blog posts.

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

A photo OCR project aims to output DMS messages contained in sign structure images.

Best Practices, code samples, and documentation for Computer Vision.

A collection of computer vision pre-trained models.

A-Fast-RCNN (CVPR 2017)

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

🙄 Difficult algorithm, Simple code.

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

iPokeMon Server.

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

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.

Test Time image Augmentation (TTA) wrapper for Keras model.

Comparison tools

An open-source library of algorithms to analyse time series in GPU and CPU.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…