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pdal-feedstock

A conda-smithy repository for pdal.

pdaloctreesplitpointcloud

The point cloud is split using the ‘pdal’ ‘octree’

pdnet

for RGBD salient object detection

peac

PEAC(Plane Extraction using Agglomerative Clustering) is a fast plane segmentation algorithm for organized point cloud. This is a fork of peac (http://www.merl.com/research/license)

peac-1

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

peac-2

Extract the plane from the point cloud

perfecttin

Converts a point cloud to a 2.5D triangulated irregular network

persistenthomology

a python library for computing the persistent homology of a point cloud

pesudo_lidar_pointcloud_carla

Simulate precise LiDAR point cloud data from Carla

pf-net-point-fractal-network

CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion

pgdnn

Predictive and Generative Deep Neural Networks for Object Functionality

photo4d

Package to compute point cloud models using photogrammetry from time-lapse imagery

photola

Python package to calculate Leaf Area from photographs.

photometric-mesh-optim

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction :globe_with_meridians: (CVPR 2019)

photometric-stereo

photometric-stereo-1

A MATLAB Implementation of the Basic Photometric Stereo Algorithm

photoscanedgedetection

Use OpenCV from within Agisoft Photoscan to find edges in an image and create markers along those edges. Uses OpenCV3 to create a Canny edge image, then the Hough Transform to find likely lines and display them on the image. When the user clicks on the image near a line they want included in the calculation, the script uses a binary image with coincident pixels to search for the nearest line segment, then iterates along that line segment to add all the pixels to a list which will then be projected onto the model in Photoscan. Duplicate pixels are removed prior to projection to reduce processing time and unfairly weighted pixel locations.

photosketch

Code for Photo-Sketching: Inferring Contour Drawings from Images :dog:

phototo3d

picp

pICP: plain Iterative Closest Point, a no-frills implementation in C++ of a simple rigid 3D registration algorithm. Easy to integrate, uses minimal dependencies.

picturesto3dpointcloud

This baby generates a 3D point cloud from images taken at multiple angles of a scene. Requires OpenCV & MeshLab.

piecewisecrf

The code for my master thesis "Modelling the Co-Occurrence of Semantic Labels with Conditional Random Fields"

pinsout

Accelerating 3D Indoor Space Construction from Point Clouds with Deep Learning

pipeline-of-distributed-3d-reconstruction

This is a pipeline of distributed 3D reconstruction.

pix2pix

Image-to-image translation with conditional adversarial nets

pix2vertex

Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation

pix2vox

Implementation of Pix2Vox (Xie et al., ICCV 2019)

pix3d

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

pixel2mesh

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

pixel2mesh-1

A complete Pixel2Mesh implementation in PyTorch