natowi

https://github.com/danini/graph-cut-ransac The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

https://github.com/AIBluefisher/GraphSfM Robust and Efficient Graph-based Structure from Motion https://aibluefisher.github.io/GraphSfM/ Our Structure from Motion approach, named Graph Structure from Motion, is aimed at large scale 3D reconstruction.

Depth Estimation using OpenCL

	Olympus;Olympus Tough TG-6;6.16;digicamdb
	Nikon;Nikon Coolpix W150;4.8;digicamdb
	Canon;Canon EOS 250D;22.3;digicamdb
	Ricoh;Ricoh GR III;23.5;digicamdb
	Leica;Leica Q2;36;digicamdb
	Ricoh;Ricoh WG-6;6.16;digicamdb
	Ricoh;Ricoh G900;6.16;digicamdb
	Fujifilm;Fujifilm X-T30;23.5;digicamdb
	Fujifilm;Fujifilm FinePix XP140;6.16;digicamdb
	Panasonic;Panasonic Lumix DC-G95;17.3;digicamdb

	__version__ = "3.0"

	from meshroom.core import desc


	class Meshsimply(desc.CommandLineNode):
	commandLine = 'alicevision_msimplify {inputValue} {outputValue} {ratioValue} {agressValue}' ### HERE: change the command line

	cpu = desc.Level.NORMAL
	ram = desc.Level.NORMAL

	__version__ = "3.0"

	from meshroom.core import desc


	class Meshing(desc.CommandLineNode):
	commandLine = 'aliceVision_meshing {allParams}'

	cpu = desc.Level.INTENSIVE
	ram = desc.Level.INTENSIVE

	How the nodes work (reconstructed, personal project)
	CC BY-SA

	## CameraInit

	reads image metadata
	sensor width lookup

	Calculates viewpoints.sfm with image metadata and Intrinsics

	# imagemasking.py by ALfuhrmann https://github.com/alicevision/meshroom/issues/188

	from __future__ import print_function

	__version__ = "1.0"

	from meshroom.core import desc
	import json
	import numpy as np
	import glob