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

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

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[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

Copy-paste augmentation for segmentation and detection tasks

Detection of CCTag markers made up of concentric circles.

Morfessor is a tool for unsupervised and semi-supervised morphological segmentation

Detect and bypass web application firewalls and protection systems

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YOLOv5 C++ Implementation on Android using NCNN framework

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A curated list of visual relationship detection and related area resources

A collection of dataset loaders

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

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

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(BMVC 2019) PyTorch implementation of Paper "Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects"

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

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3D Graph Neural Networks for RGBD Semantic Segmentation

The first open-source library that detects the font of a text in a image.

Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)

💃 Pose estimation for iOS and android using TensorFlow 2.0

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

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

hair segmentation in mobile device

Multi-object image datasets with ground-truth segmentation masks and generative factors.

Quantum Insert

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

cGAN-based Multi Organ Nuclei Segmentation

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

Faster RCNN with PyTorch

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

Privacy Online Test and Resource Compendium (POTARC) 🕵🏻

Chainer implementation of Pose Proposal Networks

Rapid satellite imagery object detection

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.

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Some experiments with object detection in PyTorch

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

OpenCV trained detection models: Haar, HOG and other

Official implementation of Character Region Awareness for Text Detection (CRAFT)

S3FD: single shot face detector in pytorch

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

Boundary-preserving Mask R-CNN (ECCV 2020)

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

Segmentation realize Deeperlab only segmentation part

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

Domain Adaptive Faster R-CNN in PyTorch

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

[⛔️ Deprecated] Venator is a python tool used to gather data for proactive detection of malicious activity on macOS devices.

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.