DLR-RM/BlenderProc

A procedural Blender pipeline for photorealistic training image generation

Language: Python - Size: 96 MB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 3,110 - Forks: 466

OllieBoyne/BlenderSynth

Synthetic Blender Dataset Production

Language: Python - Size: 34.9 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 76 - Forks: 7

dariofurlan/vcs-2425-project

Privacy-Preserving Computer Vision: Leveraging Depth Images for Image Classification

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

semilleroCV/Hands-on-Computer-Vision

semillero computer vision

Language: Jupyter Notebook - Size: 775 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 44 - Forks: 98

RonLek/FastV2C-HandNet

Repository for the implementation of "FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks"

Language: Python - Size: 44.3 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 12 - Forks: 2

SeyedMuhammadHosseinMousavi/A-SPATIAL-AND-FREQUENCY-BASED-METHOD-FOR-MICRO-FACIAL-EXPRESSIONS-RECOGNITION-USING-COLOR-AND-DEPTH-

A SPATIAL AND FREQUENCY BASED METHOD FOR MICRO FACIAL EXPRESSIONS RECOGNITION USING COLOR AND DEPTH IMAGES

Language: MATLAB - Size: 23 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 0

DavideFantini/pinna-anthropometry-extraction

Extraction of anthropometric features from pinna depth images

Language: MATLAB - Size: 4.36 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

SeyedMuhammadHosseinMousavi/Analysis-of-a-robust-edge-detection-system-in-different-color-spaces-using-color-and-depth-images

Analysis of a robust edge detection system in different color spaces using color and depth images

Language: MATLAB - Size: 16.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 0

blackbird71SR/RGBD-Object-Detection

3D Object Detection (iHack IIT Bombay) - Deep Learning based real-Time solution using YOLO and Fast RCNN

Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 36 - Forks: 7

ahmedfawzyelaraby/3D-object-detection-and-recognition-with-microsoft-kinect-and-deep-neural-networks

Language: C++ - Size: 38.1 KB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 0

prabhunithingollapudi007/HandSignClassification

Major project on Hand sign classification using RGB-D camera (primesense). Classification done based on depth images, rgb images and depth information seperately.

Language: Jupyter Notebook - Size: 524 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

TUI-NICR/nicr-multi-task-dataset

Dataset for patch-based person classification (person vs. non-person objects) and posture classification (standing vs. sitting vs. squatting). The data was recorded using a Kinect2 sensor and consists of labeled depth image patches of 27 persons in various postures and of various non-person objects. In total, the dataset consists of more than 235,000 samples divided into non-overlapping subsets for training, validation, and test.

Language: Python - Size: 713 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

JonasToth/depth-conversions

Conversion of depth data to derived images that allow classical feature detection. My master thesis.

Language: Gherkin - Size: 380 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 2

CGLab-GIST/RCDCamera

Remote Color Depth Camera without any 3rd-party dependencies in iOS.

Language: Swift - Size: 55.7 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 4

gasparramoa/DeepDoors2

DeepDoors2 is a dataset for 2D/3D door classification, 2D door detection and 2D door segmentation.

Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 22 - Forks: 1

TUI-NICR/nicr-rgb-d-orientation-data-set

A data set for upper body orientation estimation of humans with continuous ground truth labels for the angle perpendicular to the ground

Language: Python - Size: 2.07 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

dmckinnon/stereo

A tutorial on stereoscopic depth maps, focusing on triangulation and rectification

Language: C++ - Size: 4.71 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 39 - Forks: 8

atapour/depthComp

A real-time depth filling approach based on prior image segmentation (http://www.atapour.co.uk/papers/BMVC2017.pdf).

Language: C++ - Size: 385 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 32 - Forks: 11

sunghoonhong/AirsimDRL

Autonomous UAV Navigation without Collision using Visual Information in Airsim

Language: Python - Size: 40.2 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 87 - Forks: 21

wangyida/forknet

ForkNet: Adversarial Semantic Scene Completion from a Single Depth Image - ICCV 2019

Language: Python - Size: 2.1 GB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 58 - Forks: 16

CAMMA-public/ORPose-Depth

Inference demo and evaluation scripts for the MICCAI-2019 paper "Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images"

Language: Python - Size: 4.83 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 12 - Forks: 3

claudio-bon/libPFM

This library provides an easy and accessible way to read and write .pfm files in C++ by only relying on the sandard library.

Language: C++ - Size: 44.9 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

weleen/CADSTN.caffe

[TCYB2018] Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images

Language: Jupyter Notebook - Size: 88.6 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0