Hello, dear Mediapipe guys.

I want to inference the hand pose with Mediapipe model and my own model.

I have my own tf-lite models, it can work on the RGB bitmap.

I try to query the RGB bitmap from input frame with data packet.

My code is

private static final String INPUT_VIDEO_STREAM_NAME = "input_video";
processor.addPacketCallback(INPUT_VIDEO_STREAM_NAME, (packet)->{
 

Currently the pix_fmt for ffmpeg is set in VideoFileClip.py via

pix_fmt = "rgba" if has_mask else "rgb24"

It would be great if VideoFileClip could accept an optional "pix_fmt" arg so that "bgr24" could be used to be consistent with OpenCV.

Hi, I noticed this line of code in README.md

printf("\tCodec %s ID %d bit_rate %lld", pLocalCodec->long_name, pLocalCodec->id, pCodecParameters->bit_rate);

in which pLocalCodec is not declared in the article before used which might cause confusion in my view. Digging into the c code, I found this line.

https://github.com/leandromoreira/ffmpeg-libav-tutorial/blob/cdd616ce871078e

Bug/Issue Description:
Doc pages on rtd are missing the repository name in their "Edit this page" URLs.

https://pyscenedetect.readthedocs.io/en/latest/, for example, links to https://github.com/Breakthrough/edit/master/docs/index.md when it should be https://github.com/Breakthrough/PySceneDetect/edit/master/docs/index.md

Read the docs documentation references classes from the project, but they are not clickable. There are no links to take you to either the documentation of that class API on read the docs, or to take you to the source code of that class.

Feel free to propose your ideas on how to improve this.

travis and AppVeyor need to be updated for OpenCV 3 and to work with the new eos version.
4dface builds just fine though, the build failures are just because travis and AppVeyor haven't been updated yet.

<?xml version="1.0" encoding="utf-8"?>
<mlt>
  <profile description="" width="640" height="360"/>
  <producer id="16da6066-6d38-76bd-75de-5394693db212">
    <property name="resource">http://kb-oss-daily.oss-cn-zhangjiakou.aliyuncs.com/video/2019/08/06/67399a58-8788-474b-90d0-56

Hi, don't know if I am being stupid but are the values for the filters listed anywhere in documentation or source code?

For example if I want to find the min/max value for the Saturation filter so that I can apply these values to slider where can I find them? Had a look through the Filters folder in the framework but was unable to find any info.

Thanks

Checklist

• I've read the

Hello,
Do you know about Conan?
Conan is modern dependency manager for C++. And will be great if your library will be available via package manager for other developers.

Here you can find example, how you can create package for the library.

If you have any questions, j

https://github.com/scikit-video/scikit-video/blob/master/CONTRIBUTING.rst wants flake8 (pyflakes and pep8); do you want to run that automatically in the Travis build? We could use something like env: TOXENV=check in https://github.com/ionelmc/cookiecutter-pylibrary/blob/master/%7B%7Bcookiecutter.repo_name%7D%7D/ci/templates/.travis.yml#L15 with

[testenv:check]
deps =
    flake8
skip_ins

Describe the bug:
The "Pixelization" values is not linear. It starts with 0,0 which means "no pixelization at all", through 0,9" which means "heavy pixelization", but ends with "1,0" which does not pixelate at all (i. e. 0,0 and 1,0 behave the same). This makes it hard to understand for the user, and hard to prevent failures in usage.

Steps to reproduce the behavior:

1. Use Pixe

Change documentation to expose monit port [2812] to get monitoring available.

https://github.com/kaltura/platform-install-packages/blob/master/doc/install-docker.md#step-by-step-installation

docker run -d --name=kaltura -p 80:80 -p 443:443 -p 1935:1935 -p 2812:2812 -p 88:88 -p 8443:8443 kaltura/server

![whatsapp image 2017-12-01 at 3 03 03 pm](https://user-images.githubusercontent.com/34059153/334768