polygon-HGT
Polygon detector
Automated polygon detection in RGB images for room layout estimation
Polygon Detection for Room Layout Estimation using Heterogenous Graphs and Wireframes
26 stars
1 watching
3 forks
Language: Python
last commit: 10 months ago Related projects:
Repository | Description | Stars |
---|---|---|
davidgillsjo/srw-net | A deep learning-based system for detecting wireframe layouts in 2D images of rooms | 72 |
zhijieshen-bjtu/dopnet | Estimates room layouts from indoor panoramic images by disentangling orthogonal planes and accounting for cross-scale distortion | 48 |
chrisjmccormick/hog_matlab | Matlab implementation of an object detection algorithm for pedestrians using a Histogram of Oriented Gradients descriptor | 34 |
charlesq34/frustum-pointnets | A deep learning framework for 3D object detection from RGB-D data | 1,595 |
jiwei0921/dmra | A Python implementation of a depth-induced multi-scale recurrent attention network for RGB-D saliency detection | 105 |
pygod-team/pygod | Detects anomalies in graph data using various algorithms | 1,344 |
peiyunh/wysiwyg | Exploiting visibility for 3D object detection | 115 |
lz118/deep-correlation-network | Develops a deep neural network model for detecting salient objects in RGBT images using correlation information from other colors. | 13 |
safe-graph/dgfraud | A toolbox for building and comparing graph neural network-based fraud detection models | 696 |
bast/polygons | Fast point-in-polygon test and distance calculations for polygons in 2D space | 15 |
lz118/rgbt-salient-object-detection | A collection of resources and tools for RGBT salient object detection in image processing | 64 |
icetttb/planetr3d | An implementation of a deep learning-based method for 3D plane recovery from images. | 93 |
xingyizhou/pytorch-pose-hg-3d | A PyTorch implementation of a 3D human pose estimation algorithm using weak supervision. | 613 |
yanhengwang-heu/ieee_tgrs_sstformer | A toolbox implementing deep learning-based change detection for hyperspectral images using spectral, spatial, and temporal transformations. | 28 |
starrah/dmh-net | A deep learning framework for estimating 3D room layouts from cubemaps of panoramic images using the Deep Manhattan Hough Transform. | 50 |