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3d-facial-pointcloud-creation-and-visualization-using-sfm-and-mvs

3dpcdl

🐍 Python scripts and results of the Barcelona School of Telecommunications Engineering final thesis, comparing three-dimensional point clouds patches using deep neural networks.

3dreconstruction

3D reconstruction, sfm with Python3

attentional-pointnet

Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds

blender-photogrammetry

Blender addon for structure from motion tools to allow dense point cloud reconstruction from Blender's camera tracker

brick-counting

code-kindle

Source code to pseudocode generator using Statistical machine learning techniques for C/C++ and python3.

complex-yolo

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

computer-vision-and-photogrammetry

Course at University of Wroclaw - full 3D reconstruction from images pipeline

computer-vision-streo

finding the disparity between two focal points that are looking at the same thing from slightly different angles

course_material-machine-learning

A collection of materials from my Machine Learning class

dog-cat-classifier

Dog and cat image classifier with deep learning

fastobjectdetectionindensepointclouds

Bachelorthesis: "Fast Object Detection in Dense Point Clouds" at Institute of Measurement, Control and Microtechnology at Ulm University

find-gcp

Find ArUco markers in digital photos

how-to-sfm

A self-reliant tutorial on Structure-from-Motion

image-classification

How to do Image Classification using Keras

image-classification-by-keras-and-tensorflow

Image Classification using Keras as well as Tensorflow.

kapture

kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.

lane-marking-detection

This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.

m_heracles

HERitAge by point CLoud procESsing for Matlab

material_recognition

meshroom

3D Reconstruction Software

metashape-scripts

Python scripts for Metashape (former PhotoScan)

mmdetection

OpenMMLab Detection Toolbox and Benchmark

models

Models and examples built with TensorFlow

mve

Multi-View Environment

numpyann

Implementation of Artificial Neural Networks using NumPy

openmvgopenmvs

OpenMVG+OpenMVS

openmvs

open Multi-View Stereo reconstruction library

photogrammetry

Python Photogrammetry Toolbox (formerly osm-bundler), for rendering a 3D pointcloud from photos of an object at different angles.