3d-recon | Learning Single-View 3D Reconstruction | Machine Learning library

by stevenygd Python Version: Current License: MIT

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

kandi X-RAY | 3d-recon Summary

3d-recon is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Generative adversarial networks applications. 3d-recon has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However 3d-recon has 1 bugs. You can download it from GitHub.

TensorFlow implementation for the paper:. Guandao Yang, Yin Cui, Serge Belongie, Bharath Hariharan.

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Quality

Security

License

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Support

3d-recon has a low active ecosystem.

It has 56 star(s) with 13 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 491 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of 3d-recon is current.

Quality

3d-recon has 1 bugs (0 blocker, 0 critical, 0 major, 1 minor) and 29 code smells.

Security

3d-recon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

3d-recon code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

3d-recon is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

3d-recon 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.

3d-recon saves you 831 person hours of effort in developing the same functionality from scratch.

It has 1907 lines of code, 70 functions and 17 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Save a model t
Perform a single iteration
Run AutoEncoder step
Calculates the average precision between two GTRs
Compute the maximum IOU U
Compute the intersection between two tensors
Calculate the perspective of the coor
Calculate the polynomial of a voxel
Read the coordinate array as a numpy array
Read the dimensions of the binvox header
Builds the nonsaturating GAN objective function
Computes the gradient of the GAN
Builds the training graph
Make noise tensorflow noise
Read data as a 3d array
Calculate the average precision of two datasets
Calculate the maximum IOUU
Compute the union of two tensors

Get all kandi verified functions for this library.

3d-recon Key Features

No Key Features are available at this moment for 3d-recon.

3d-recon Examples and Code Snippets

No Code Snippets are available at this moment for 3d-recon.

Community Discussions

Trending Discussions on 3d-recon

How can i obtain Camera Matrix in 3Dreconstruction?

QUESTION

How can i obtain Camera Matrix in 3Dreconstruction?

Asked 2017-Aug-17 at 05:44

I want to achieve a 3D-reconstruction algorithm with sfm,

But how should i set the parameters of the Camera Matrix?

I have double cameras,both know their focal length.

And how about Rotation Matrix and Translation Matrix from world view?

i use python

...

ANSWER

Answered 2017-Aug-17 at 05:44

You already have a code for camera calibration and printing a camera matrix in your OpenCV installation. Go to this path if you are on windows -

C:\opencv\sources\samples\python

There you have a file called calibrate

Source https://stackoverflow.com/questions/45725440

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

Vulnerabilities

No vulnerabilities reported

Install 3d-recon

You can download it from GitHub.
You can use 3d-recon 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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