FHOG | C Felzenszwalb HOG extractor

by joaofaro C++ Version: Current License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | FHOG Summary

FHOG is a C++ library. FHOG has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

C++ Felzenszwalb HOG extractor

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Quality

Security

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Support

FHOG has a low active ecosystem.

It has 40 star(s) with 24 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FHOG is current.

Quality

FHOG has no bugs reported.

Security

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

License

FHOG is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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FHOG Key Features

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FHOG Examples and Code Snippets

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Community Discussions

Trending Discussions on FHOG

How to visualize fhog (not HOG)

java.lang.UnsatisfiedLinkError: dlopen failed 64-bit instead of 32-bit while .so should be built in x86

HOG optimization with using SIMD

QUESTION

How to visualize fhog (not HOG)

Asked 2018-Jun-25 at 02:26

My MATLAB code uses fhog (instead of Hog) to extract features. However, I want to visualize the HOG features used on the image patch. I know extractHOGFeatures or VLFeat is used if we use HOG available in MATLAB. But how do I visualize fhog?

Since Piotr's Image & Video Toolbox (which has fhog) is widely used in MATLAB now and I frequently need it, it would be great if someone can tell me how to visualize fhog extracted features.

The code of fhog can be found at here:

The code snippet is as follows:

...

ANSWER

Answered 2018-Jun-25 at 02:26

I was able to make this work. It was a stupid thing I was ignoring.

Source https://stackoverflow.com/questions/50731897

QUESTION

java.lang.UnsatisfiedLinkError: dlopen failed 64-bit instead of 32-bit while .so should be built in x86

Asked 2017-Sep-14 at 19:33

I am trying to use JNI in Android Studio, I added the JNI function under the sample native-lib.cpp which created by Android Studio by default (after adding C++ support)

However, I am facing an error

java.lang.UnsatisfiedLinkError: No implementation found for boolean com.example.user.project.Tracker.isTracking_0(boolean) (tried Java_com_example_user_project_Tracker_isTracking_10 and Java_com_example_user_project_Tracker_isTracking_10__Z)

I also tried to add this to MainActivity

...

ANSWER

Answered 2017-Sep-14 at 19:33

Here is what caused your problem:

Source https://stackoverflow.com/questions/46209078

QUESTION

HOG optimization with using SIMD

Asked 2017-Apr-11 at 11:54

There are several attempts to optimize calculation of HOG descriptor with using of SIMD instructions: OpenCV, Dlib, and Simd. All of them use scalar code to add resulting magnitude to HOG histogram:

...

ANSWER

Answered 2017-Apr-10 at 08:05

You can do a partial optimisation by using SIMD to calculate all the (flattened) histogram indices and the bin increments. Then process these in a scalar loop afterwards. You probably also want to strip-mine this such that you process one row at a time, in order to keep the temporary bin indices and increments in cache. It might appear that this would be inefficient, due to the use of temporary intermediate buffers, but in practice I have seen a useful overall gain in similar scenarios.

Source https://stackoverflow.com/questions/43316459

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