Pose-Estimation | Pose Estimation Course | Dataset library

by augmentedstartups Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | Pose-Estimation Summary

Pose-Estimation is a Python library typically used in Artificial Intelligence, Dataset applications. Pose-Estimation has no bugs, it has no vulnerabilities and it has low support. However Pose-Estimation build file is not available. You can download it from GitHub.

Pose Estimation Course

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Pose-Estimation has a low active ecosystem.

It has 95 star(s) with 45 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 0 have been closed. On average issues are closed in 326 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Pose-Estimation is current.

Quality

Pose-Estimation has 0 bugs and 0 code smells.

Security

Pose-Estimation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Pose-Estimation code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Pose-Estimation 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

Pose-Estimation releases are not available. You will need to build from source code and install.

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

It has 1238 lines of code, 42 functions and 10 files.

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

Top functions reviewed by kandi - BETA

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

Draw a landmark list
Convert normalized coordinates to pixel coordinates
Draw the given detection
Convert string to boolean

Get all kandi verified functions for this library.

Pose-Estimation Key Features

No Key Features are available at this moment for Pose-Estimation.

Pose-Estimation Examples and Code Snippets

No Code Snippets are available at this moment for Pose-Estimation.

Community Discussions

Trending Discussions on Pose-Estimation

Recreating Global 3D Points, from Local 3D Points and Global 2D Points; SolvePnP

ArUco markers, why does the pose change when I change image resolution?

How does Elevation of a Head Pose in Python-OpenCV work?

Meaning of "cannot open shared object file"

QUESTION

Recreating Global 3D Points, from Local 3D Points and Global 2D Points; SolvePnP

Asked 2022-Mar-11 at 08:38

Aloha, i have a list of 2D Keypoints which are located in the global scope/frame (image points), and a list of corresponding 3D Keypoints in the local scope (often called texture or object points). The image points are ranging from x[0-1920]y[0,1080] and the object points are withing the range of x[-1,1]y[-1,1]. I have followed the approach described in this paper on page 6 with the tutorial from here, but the output of my 3D points is not correct at all, the movement of the points is all over the place. Below is my approach using SolvePnP. Am I on the wrong track here, since SolvePnP is normally used for detecting the camera movement (open for other suggestions!) or is my method wrong?

...

ANSWER

Answered 2022-Mar-09 at 13:13

yes, solvePnP is okay to use
yes, your math is wrong

I'll assume that you get your points from a face landmark detector, so they have a fixed order. I'll also assume that your 3D model points are given in the same order and their values are consistent and somewhat similar to the face you look at. You should exclude points that denote flesh and mandible (as opposed to skull bone). You actually want to track the skull, not the position of lips and jaws that move all over the place.

rvec is an axis-angle encoding. Its length is the amount of rotation (expected between 0 and 3.14=pi) and its direction is the axis of rotation.

Use cv.Rodrigues to turn the rvec into a 3x3 rotation matrix.

In fact, just build yourself some functions that take rvec and tvec and build a 4x4 matrix. Extending all points to be (x,y,z,1) is a hassle but only once.

And make sure you use @ for matrix multiplication (or np.dot, np.matmul, ...) because * is element-wise multiplication.

Source https://stackoverflow.com/questions/71408443

QUESTION

ArUco markers, why does the pose change when I change image resolution?

Asked 2022-Feb-01 at 18:53

I use this reference https://automaticaddison.com/how-to-perform-pose-estimation-using-an-aruco-marker/ to estimate pose of a marker.

When I obtain cam matrix and distortion matrix I used the full camera resolution.

However, when I change the resolution (image size) before pose estimation, I am getting different results. I am not sure why and which resolution would be correct to use.

Should we always use the same resolution as what was used for camera calibration?

I expected the pose to be somewhat independent from image size other than minor changes. Any thoughts?

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ANSWER

Answered 2022-Feb-01 at 18:51

Yes, always use the same resolution.

One could recalculate the camera matrix and distortion coefficients to fit a different resolution but that's a hassle, and requires some knowledge of how the camera made these pictures (binning, cropping). Unless you understand the math behind it, just stick with same resolution.

Source https://stackoverflow.com/questions/70943254

QUESTION

How does Elevation of a Head Pose in Python-OpenCV work?

Asked 2020-Nov-05 at 16:35

I am trying to estimate the head pose of single images mostly following this guide: https://towardsdatascience.com/real-time-head-pose-estimation-in-python-e52db1bc606a

The detection of the face works fine - if i plot the image and the detected landmarks they line up nicely.

I am estimating the camera matrix from the image, and assume no lens distortion:

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ANSWER

Answered 2020-Nov-05 at 16:35

Ok so it seems i have found a solution - the model points (which i have found in several blogs on the topic) seem to be wrong. The code seems to work with this combination of model and image points (no idea why it was trial and error):

Source https://stackoverflow.com/questions/64679950

QUESTION

Meaning of "cannot open shared object file"

Asked 2020-May-04 at 19:45

My executable compiles, but then fails to run saying he cannot load a shared library. But the named library is right there (and LD_LIBRARY_PATH is set to right here too); and both objects are 64b.

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ANSWER

Answered 2020-May-04 at 05:19

Who is complaining with "error while loading shared libraries: libmyelin.so.1: cannot open shared object file: No such file or directory" ?

The dynamic linker is.

What's the next debug step to resolve this issue?

Run file pose-estimator libmyelin.so.1. Chances are that one of them is 64-bit (x86_64) while the other is 32-bit (i386).

Update:

My guess was somewhat wrong: both files are for x86_64. But this file

Source https://stackoverflow.com/questions/61564280

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

Vulnerabilities

No vulnerabilities reported

Install Pose-Estimation

You can download it from GitHub.
You can use Pose-Estimation 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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