2641 Open source projects that are alternatives of or similar to Jacinto Ai Devkit

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

🎨 🎨 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/

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Tools to Design or Visualize Architecture of Neural Network

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.

Collections of model quantization algorithms

YOLO for object detection tasks

《深度学习与计算机视觉》配套代码

TFslim based semantic segmentation models, modular&extensible boutique design

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

FrostNet: Towards Quantization-Aware Network Architecture Search

Awesome GAN for Medical Imaging

Perception toolkit for sim2real training and validation

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

The code for preparing the training data for crowd counting / segmentation algorithm.

Holistically-Nested Edge Detection

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Trainable models and NN optimization tools

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

This repository contains the source code of our work on designing efficient CNNs for computer vision

Video Platform for Action Recognition and Object Detection in Pytorch

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

DilatedNet in Keras for image segmentation

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

High level network definitions with pre-trained weights in TensorFlow

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

MTCNN with Motion Detection, on Raspberry Pi with Love

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

Deep learning codes and projects using Python

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.

Object localization in images using simple CNNs and Keras

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Tensorflow Faster RCNN for Object Detection

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Gluon CV Toolkit

Android based Vocal Vision for Visually Impaired. Object Detection, Voice Assistance, Optical Character Reader, Read Aloud, Face Recognition, Landmark Recognition, Image Labelling etc.

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

This repository contains the reference implementation for our proposed Convolutional CRFs.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

OpenMMLab Image Classification Toolbox and Benchmark

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation