pysfm | Python implementation of bundle adjustment | Build Tool library

by alexflint Python Version: Current License: No License

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

kandi X-RAY | pysfm Summary

pysfm is a Python library typically used in Utilities, Build Tool, Numpy applications. pysfm has no bugs, it has no vulnerabilities and it has low support. However pysfm build file is not available. You can download it from GitHub.

Python implementation of bundle adjustment.

Support

Quality

Security

License

Reuse

Support

pysfm has a low active ecosystem.

It has 37 star(s) with 17 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 80 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pysfm is current.

Quality

pysfm has 0 bugs and 0 code smells.

Security

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

pysfm code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pysfm 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

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

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

pysfm saves you 1748 person hours of effort in developing the same functionality from scratch.

It has 3868 lines of code, 395 functions and 42 files.

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

Top functions reviewed by kandi - BETA

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

Test the posterior of the Gaussian distribution
Evaluate the inverse of the inverse normal function
Compute the likelihood
Compute the posterior of the objective function
Marginalize covariance matrix
Marginalize a vector
Marginalize a normal distribution
Make a Gaussian distribution
Load a sequence of Track objects
Triangulate a track
Test the Jacobian of the Jacobian
Propagate a pose update
Draws a plot of a set of rotations
This function computes the Jacobian of the Jacobian of an expm
Test the test
Triangulate an actor
Render a bundle of views to PDF
Check the generator field
Compute the Jacobian of the Jacobian
Test the logdet
Make the SL3 basis
Write track to cams_fd
Test the product of the covariance matrix
Draw a bundle
Load a bundle
Test for all normal distributions
Compute the squared error between two vectors

Get all kandi verified functions for this library.

pysfm Key Features

No Key Features are available at this moment for pysfm.

pysfm Examples and Code Snippets

No Code Snippets are available at this moment for pysfm.

Community Discussions

Trending Discussions on pysfm

How to convert list of integers to image?

QUESTION

How to convert list of integers to image?

Asked 2020-Feb-05 at 07:37

I am using a SFM5020 fingerprint scanner and I am using pysfm library. I have a function that reads fingerprint data and gives template data of length 10909 in the form of a list. I want to convert it to an image. Can you please help me on this?

I don't know the height and width, I just know the length of the template data which is 10909. Here's a section of such template data:

...

ANSWER

Answered 2020-Feb-05 at 06:33

Here comes an educated guess, which was too long for a comment.

From the specifications, the SFM5020 has an image size of 272 x 320. That'd be 87.040 pixels in total. You have 10.909 bytes of data, which is 87.272 bits. So, it seems, the pixel data is stored as binary, i.e. each byte represents eight consecutive pixels.

Now, you have 29 additional bytes (87.272 bits - 87.040 pixels = 232 bits = 29 bytes). Let's have a look on your template_data: The first 28 bytes are more or less zeros. Starting from byte 29, there are a lot of ones. That's maybe "white" background. Looking at the end, you have a single zero. Before, there's also a lot of "white". So, most likely, discard the first 28 bytes and the last byte to extract the actual fingerprint data.

With the example given and under the assumption, that data is continuous per row, we can extract two rows:

Source https://stackoverflow.com/questions/60069334

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

Vulnerabilities

No vulnerabilities reported

Install pysfm

You can download it from GitHub.
You can use pysfm 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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