entwine | Entwine - point cloud organization for massive datasets | Image Editing library

by connormanning C++ Version: 2.2.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | entwine Summary

entwine is a C++ library typically used in Media, Image Editing applications. entwine has no bugs, it has no vulnerabilities and it has low support. However entwine has a Non-SPDX License. You can download it from GitHub.

Entwine - point cloud organization for massive datasets

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Quality

Security

License

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Support

entwine has a low active ecosystem.

It has 357 star(s) with 114 fork(s). There are 35 watchers for this library.

It had no major release in the last 12 months.

There are 39 open issues and 167 have been closed. On average issues are closed in 17 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of entwine is 2.2.0

Quality

entwine has 0 bugs and 0 code smells.

Security

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

entwine code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

entwine 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

entwine releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 9418 lines of code, 657 functions and 56 files.

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

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entwine Key Features

No Key Features are available at this moment for entwine.

entwine Examples and Code Snippets

No Code Snippets are available at this moment for entwine.

Community Discussions

Trending Discussions on entwine

How to bundle node module CSS into a vscode extension

How to restructure object from another object in javascript

Docker run python script cant find locally installed module

QUESTION

How to bundle node module CSS into a vscode extension

Asked 2021-Aug-27 at 04:31

My Visual Studio Code extension uses the node module highlight.js which comes with a folder full of CSS files. These provide colour schemes for syntax colouring. It has become necessary to bundle some of the CSS files.

It's about bundling an asset

The objective is to bundle a CSS file and at run-time access the file content as a string. If that can be achieved without an import statement that would be perfect. Normally, how exactly one accesses the content of the bundled file would be a separate question, but I have a feeling that content retrieval and how one should go about bundling the asset are closely entwined.

I freely admit to having a weak understanding of WebPack.

The story so far

The bundler is specified in package.json as "webpack": "^5.4.0" but I don't know how to ascertain what is actually present. It is conceivable that there is something wrong with my setup: when I try to run webpack --version on a command prompt in the project folder, it responds

...

ANSWER

Answered 2021-Aug-27 at 04:31

Remove style-loader from webpack.config.js to fix the error.

Pull the CSS as a string like this. Note the abbreviated path.

Source https://stackoverflow.com/questions/68941630

QUESTION

How to restructure object from another object in javascript

Asked 2020-Jun-24 at 08:49

I have this object structure that was made from my form that were dynamically created, so the field names were created based on index.

...

ANSWER

Answered 2020-Jun-24 at 04:10

I think the schema you are trying to achieve is:

Source https://stackoverflow.com/questions/62546954

QUESTION

Docker run python script cant find locally installed module

Asked 2020-Mar-10 at 19:32

For context, this problem relates to a docker image that will be run using azure batch.

Here is the Dockerfile, in full:

...

ANSWER

Answered 2020-Mar-10 at 19:32

The problem you are facing is because you added the conda activate to the .bashrc script which is only activated for login shells. When you run the container interactively, that is what you are getting. However, when you just try to invoke the python script directly, you do not get a login shell so your conda environment is not activated.

One think you could do is not use the conda activate and instead run the script with conda run. To simplify the command-line, add this entrypoint to your Dockerfile:

ENTRYPOINT ["conda", "run", "-n", "$CONDA_DEFAULT_ENV", "python", "classify.py"]

Using this in the entrypoint also allows the caller to pass command-line arguments via docker run.

From the Dockerfile reference

Command line arguments to docker run will be appended after all elements in an exec form ENTRYPOINT

For a more detailed explanation, see Activating a Conda environment in your Dockerfile

Source https://stackoverflow.com/questions/60623444

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

Vulnerabilities

No vulnerabilities reported

Install entwine

Entwine is a data organization library for massive point clouds, designed to conquer datasets of hundreds of billions of points as well as desktop-scale point clouds. Entwine can index anything that is PDAL-readable, and can read/write to a variety of sources like S3 or Dropbox. Builds are completely lossless, so no points will be discarded even for terabyte-scale datasets. Check out the client demos, showcasing Entwine output with Potree, Plas.io, and Cesium clients.

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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