794 Open source projects that are alternatives of or similar to Fast_portrait_segmentation

HyperSeg - Official PyTorch Implementation

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

Sparse and structured neural attention mechanisms

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unofficial version of centerface, which achieves the best balance between speed and accuracy at face detection

WebSocket and WAMP in Python for Twisted and asyncio

ROS wrapper for Kimera-VIO

SwellRT main project. Server, JavaScript and Java clients

deep learning for image processing including classification and object-detection etc.

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keras implementation of unet plus plus

A collection of dataset loaders

Push messages to browsers in real-time ⚡️

GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.

Python version of Sudachi, a Japanese tokenizer.

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nucleus/cell and histopathology image classification,detection,segmentation

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A javascript REST ORM that is offline and real-time capable

Pytorch version of Realtime Multi-Person Pose Estimation project

JavaScript implementation for Distributed Object Protocol

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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real time application to measure heart rate

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Example applications that use the OpenTok iOS SDK

Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)

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Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Papers and Datasets about Point Cloud.

PyTorch re-implementation of DeepMask

implement some algorithms of 6d pose estimation

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

Research platform for 3D object detection in PyTorch.

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

This is a sample DeepStream application to demonstrate a human pose estimation pipeline.

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

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

A framework for real-time applications and REST APIs with JavaScript and TypeScript

A concise code for training and evaluating Unet using tensorflow+keras

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

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通用的实时流golang框架，可以方便的创建游戏服务/聊天服务等

A system independent tool for interactive image manipulation with Voronoi and Delaunay data structures.

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

A Real-Time Beat Tracker

WebSocket emulation - Node.js server

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Perception toolkit for sim2real training and validation

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)