1319 Open source projects that are alternatives of or similar to Com.unity.perception

Awesome Resources for Advanced Computer Vision Topics

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

face keypoints deteciton based on stackedhourglass

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

NVIDIA Deep learning Dataset Synthesizer (NDDS)

Papers and Datasets about Point Cloud.

Dstl Satellite Imagery Feature Detection

FoveaBox: Beyond Anchor-based Object Detector

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

A Fast and Open Source Autonomous Perception System.

Code for https://unsupervised-llamas.com

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Free to use online tool for labelling photos. https://makesense.ai

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

All-in-one Toolbox for Computer Vision Research.

Mask RCNN in TensorFlow

Video detection library

Holistically-Nested Edge Detection

Google Brain AutoML

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Awesome GAN for Medical Imaging

A novel region proposal network for more general object detection ( including scene text detection ).

A collection of dataset loaders

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

lidc nodule detection with CNN and LSTM network

3D Graph Neural Networks for RGBD Semantic Segmentation

Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usage

TensorFlow implementation of the YOLO (You Only Look Once)

Browser fingerprinting library with the highest accuracy and stability.

Quantum Insert

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

Privacy Online Test and Resource Compendium (POTARC) 🕵🏻

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

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

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker

Faster R-CNN / R-FCN 💡 C++ version based on Caffe

📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

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

Image processing using python and opencv

Marvel - Face Recognition With Android & OpenCV

This work is used for pose estimation(yaw, pitch and roll) by Face landmarks(left eye, right eye, nose, left mouth, right mouth and chin)

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Real time one-stage multi-class & multi-object tracking based on anchor-free detection and re-id

implement some algorithms of 6d pose estimation

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).

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

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).

This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !

YoloV3 Implemented in Tensorflow 2.0