3D-Reconstruction | supervised single view 3D reconstruction | 3D Printing library

by sreesai1412 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | 3D-Reconstruction Summary

3D-Reconstruction is a Python library typically used in Modeling, 3D Printing applications. 3D-Reconstruction has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Self-supervised single view 3D reconstruction with semantic vertex part segmentation

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3D-Reconstruction has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

3D-Reconstruction has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of 3D-Reconstruction is current.

Quality

3D-Reconstruction has 0 bugs and 0 code smells.

Security

3D-Reconstruction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

3D-Reconstruction code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

3D-Reconstruction does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

3D-Reconstruction releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 4819 lines of code, 362 functions and 37 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed 3D-Reconstruction and discovered the below as its top functions. This is intended to give you an instant insight into 3D-Reconstruction implemented functionality, and help decide if they suit your requirements.

Refine a mesh .
Generate an affine matrix from the given points .
Make the vertices symmetric .
Decompose a matrix .
Generate quaternion from a matrix .
Train the model .
Calculate the projection of a rotation matrix .
Create a spherical sphere .
Compute the euler transformation matrix .
Return a projection matrix for a given point and normal .

Get all kandi verified functions for this library.

3D-Reconstruction Key Features

No Key Features are available at this moment for 3D-Reconstruction.

3D-Reconstruction Examples and Code Snippets

No Code Snippets are available at this moment for 3D-Reconstruction.

Community Discussions

Trending Discussions on 3D-Reconstruction

cv2 findChessboardCorners does not detect corners

QUESTION

cv2 findChessboardCorners does not detect corners

Asked 2022-Jan-29 at 23:59

I want to try out this tutorial and therefore used the code from here in order to calibrate my camera. I use this image:

The only thing I adapted was chessboard_size = (14,9) so that it matches the corners of my image. I don't know what I do wrong. I tried multiple chessboard pattern and cameras but still cv2.findChessboardCorners always fails detecting corners. Any help would be highly appreciated.

...

ANSWER

Answered 2022-Jan-29 at 23:59

Finally I could do it. I had to set chessboard_size = (12,7) then it worked. I had to count the internal number of horizontal and vertical corners.

Source https://stackoverflow.com/questions/70907902

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

Vulnerabilities

No vulnerabilities reported

Install 3D-Reconstruction

You can download it from GitHub.
You can use 3D-Reconstruction like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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