3Dreconstruction | 3D reconstruction , sfm with Python3 | 3D Printing library

by alyssaq Python Version: Current License: No License

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

kandi X-RAY | 3Dreconstruction Summary

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

3D reconstruction, sfm with Python3

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Quality

Security

License

Reuse

Support

3Dreconstruction has a low active ecosystem.

It has 387 star(s) with 107 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 4 have been closed. On average issues are closed in 8 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of 3Dreconstruction is current.

Quality

3Dreconstruction has 0 bugs and 0 code smells.

Security

3Dreconstruction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

3Dreconstruction code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

3Dreconstruction 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

3Dreconstruction 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.

3Dreconstruction saves you 194 person hours of effort in developing the same functionality from scratch.

It has 477 lines of code, 33 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Creates a 3D plot of the test set
Read a matrix from file
Project X
Convert cartesian to homography
Plot epolic lines
Compute the eipole transformation of a matrix
R Plot ephemeral line
Show house
Computes the decomposition of the QR decomposition
Factorization
Reconstruct one point from two points
Skew the x - axis
Demo plot
Find the keypoints of two images
Linear triangulation
R Obtain extrinsic from camera
Reconstructs a 3x4 matrix from p1 and p2
Project X onto X
Convert cartesian to homogeneous homogeneous homogeneous homogeneous homogeneous coordinates
Return the corners of a given camera
Plot 3D projections of 3D points
Symmetric skew
Plot a 3D cube
Compute the P_from_essential_s
Compute the P - polynomial p

Get all kandi verified functions for this library.

3Dreconstruction Key Features

No Key Features are available at this moment for 3Dreconstruction.

3Dreconstruction Examples and Code Snippets

No Code Snippets are available at this moment for 3Dreconstruction.

Community Discussions

Trending Discussions on 3Dreconstruction

cv2 findChessboardCorners does not detect corners

How to improve disparity map of stereo-pair images (python)

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

QUESTION

How to improve disparity map of stereo-pair images (python)

Asked 2020-Jun-19 at 13:09

I captured the following 2 pictures from my mobile:Image1 , Image2

the camera was calibrated and I used this code to reconstruct 3D cloud point:

...

ANSWER

Answered 2020-Jun-19 at 13:09

The non-confident region(ie., algorithm not sure what this the correct disparity) is marked as black pixels in the disparity map. This is much expected behaviour.

You have to do some post processing to fill the map. Use Guided filter to complete map. If matlab provides any guided filter you can try once. In OpenCV "WLS" is the most common guided filter to get a filled map.

Source https://stackoverflow.com/questions/62321229

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

Vulnerabilities

No vulnerabilities reported

Install 3Dreconstruction

You can download it from GitHub.
You can use 3Dreconstruction 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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