metashape | Easy , reproducible Metashape photogrammetry workflows | BPM library

by ucdavis Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | metashape Summary

metashape is a Python library typically used in Automation, BPM applications. metashape has no bugs, it has no vulnerabilities and it has low support. However metashape build file is not available and it has a Non-SPDX License. You can download it from GitHub.

A tool to make it easy to run reproducible, automated, documented Metashape photogrammetry workflows in batch on individual computers or as parallel jobs on a compute cluster. No coding knowledge required.

Support

Quality

Security

License

Reuse

Support

metashape has a low active ecosystem.

It has 34 star(s) with 10 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 11 have been closed. On average issues are closed in 56 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of metashape is current.

Quality

metashape has 0 bugs and 13 code smells.

Security

metashape has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

metashape code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

metashape has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

metashape releases are not available. You will need to build from source code and install.

metashape has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

It has 448 lines of code, 23 functions and 4 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed metashape and discovered the below as its top functions. This is intended to give you an instant insight into metashape implemented functionality, and help decide if they suit your requirements.

Build a dense cloud layer
Return the difference between two times
Setup project directory
Returns the current timestamp
Wrapper for build DEM
Add GCP images to GCP
Return camera with given label
Return marker with given label
Build orthomosaics
Build orthomosaic projection
Align photos
Finish the run configuration file
Read a yaml file
Recursively convert objects to Python objects

Get all kandi verified functions for this library.

metashape Key Features

No Key Features are available at this moment for metashape.

metashape Examples and Code Snippets

No Code Snippets are available at this moment for metashape.

Community Discussions

Trending Discussions on metashape

Assign custom confidence to dense cloud points in Metashape

Antialiasing a SceneKit rendering with Metal

QUESTION

Assign custom confidence to dense cloud points in Metashape

Asked 2021-Mar-01 at 09:44

I'm trying to create a script where I change the confidence value of all points in the dense cloud to 100%.

I have been looking in Agisoft's Metashape Python Reference Python API v1.6.0 and on Agisoft's forums but I cannot find anything that would make me believe that this is even possible.

Is it possible to edit this value? And if so, how?

Thanks for your answers.

...

ANSWER

Answered 2021-Mar-01 at 09:44

If you export the dense cloud in LAS/LAZ format, you can use PYLAS module to edit the file.

You can edit the confidence dimension (or even add it if the file doesn't have it).

This is the code I used:

Source https://stackoverflow.com/questions/66157226

QUESTION

Antialiasing a SceneKit rendering with Metal

Asked 2020-Dec-06 at 10:21

I'm new to Metal. I'm rendering a SceneKit scene with Metal using this Apple sample code. TLDR; it calls the SCNRenderer's render function and passes in a command buffer. I'm compiling for Big Sur.

It works, but it is not anti-aliased. I've tried a few ways to achieve it, as you can see in the updates below.

Without Metal, I'd just set isJitteringEnabled to true on the SCNRenderer, and I get beautiful (and slow) 96-ish-pass renderings. If I try to do this with Metal, I get weird pixel format mismatches, so I'm suspecting the two just aren't compatible.

With Metal, as far as I can tell, the simplest way to achieve antialiasing is to enable multi-sampling in the render pipeline (I know how to do that) — and use a multi sampling texture (MTLTextureType.type2DMultisample). This partial answer backs up my assumption.

And that's the problem. I don't know how to change the texture type when I get my texture from CVMetalTextureCache and CVMetalTextureCacheCreateTextureFromImage. It seems this is a limitation in Core Video's Metal support?

My full source is here

That's it. The rest of this post is more details on the stuff I tried.

(I think this might be possible using a shader. I'm open to that solution as well, but I don't know where to start. This example doesn't compile, and this example is for GSLS)

My pixel buffer atts look like this

...

ANSWER

Answered 2020-Nov-27 at 16:28

Enabling multisampling was the right idea. The following patch shows how to enable it.

Source https://stackoverflow.com/questions/64958392

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install metashape

Python: You need Python (3.5, 3.6, or 3.7). We recommend the Anaconda distribution because it includes all the required libraries. When installing, if asked whether the installer should initialize Anaconda3, say "yes". Anaconda must be initialized upon install such that python can be called from the command line. A way to check is to simply enter python at your command prompt and see if the resulting header info includes Anaconda and Python 3. If it doesn't, you may still need to initialize your Conda install. Alternative option: If you want a minimal python installation (such as if you're installing on a computing cluster), you can install miniconda instead. After intalling miniconda, you will need to install additional packages required by our scripts (currently only PyYAML) using pip install {package_name}. Metashape: You must install the Metashape Python 3 module (Metashape version 1.6). Download the current .whl file and install it following these instructions (using the name of the .whl file that you downloaded). Metashape license: You need a license (and associated license file) for Metashape. The easiest way to get the license file (assuming you own a license) is by installing the Metashape Professional Edition GUI software (distinct from the Python module) and registering it following the prompts in the software (note you need to purchase a license first). UC Davis users, inquire over the geospatial listserv or the #geosptial Slack channel for information on joining a floating license pool. Once you have a license file (whether a node-locked or floating license), you need to set the agisoft_LICENSE environment variable (search onilne for instructions for your OS; look for how to permanently set it) to the path to the folder containing the license file (metashape.lic).

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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