Looping the process of writing images into the .tfrecords-file works fine, but how do I read multiple images from a .tfrecords-file?

Is there any simple solution? would be great if added to the code.

I've moved from Caffe/Digits to TensorFlow in my own work, and I want to update this to show how to do the same tasks with TensorFlow.

Given the hard work by @BirkhoffLee translating the original, I don't want to break what we already have. I'm debating whether to integrate it into the current document, or start a new one. I think it's nice to see how transferable the approach is across ML fr

lsd = cv2.createLineSegmentDetector(0)
cv2.error: OpenCV(4.1.1) /io/opencv/modules/imgproc/src/lsd.cpp:143: error: (-213:The function/feature is not implemented) Implementation has been removed due original code license issues in function 'LineSegmentDetectorImpl'

Salut,

I'm thinking you should maybe remove the (very) few references to pylab in your tutorial, as the offcial documentation now says "The pylab API (disapproved)"

@vitorfs
FYI, I liked the complete guide that was written by you.

• It was very easy to understand and follow.
• I was impressed at your coding standards.

If you can upgrade the docs, it will be very useful for us.
I'm thinking that there might be new features which I'm missing in this guide.

Thanks in advance

I think the line:

$ journalctl --user-unit python_demo_service

should actually be:

journalctl _SYSTEMD_UNIT=python_demo_service.service

Or at least, that's what worked for me on a Raspberry Pi 4, running Buster (Raspian/Debbian). YLMV!

See #404, we should make use of Blender's contextual, right click menu to help people discover available features in the add-on.

Help would be much welcome