I am executing ML-examples ->cmsisnn-cifar10. While converting trained Caffe model into cmsis-nn by below command

python nn_quantizer.py --model models/cifar10_m7_train_test.prototxt --weights models/cifar10_m7_iter_300000.caffemodel.h5 --save models/cifar10_m7.pkl

getting an error message.

Traceback (most recent call last):
File "nn_quantizer.py", line 614, in
my_model.get_gra

In README.md, it says:
SETX PATH C:/Python27/;C:/Python27/Scripts/;C:/OpenCV2.3/opencv/build/x86/vc10/bin/;%PATH%
SETX PYTHONPATH C:/OpenCV2.3/opencv/build/python/2.7/;%PYTHONPATH%

however, the correct one should be:
SETX PYTHONPATH C:\OpenCV2.3\opencvbuild\python\2.7;%PYTHONPATH%
SETX PATH C:\Python27;C:\Python27\Scripts;C:\OpenCV2.3\opencv\build\x86\vc10\bin;%PATH%

and also, it's only

In your web documentation at http://docs.donkeycar.com/guide/build_hardware/, the link to the webpage entitled Roll Your Own is broken. The link is to http://docs.donkeycar.com/roll_your_own.md but it the link should instead lead to http://docs.donkeycar.com/roll_your_own/.

Hopefully this helps.

Per this comment in #12

I'm playing CudaSift. Cool job...
But, in order to have it installed easily, you may have to:

1. Add "Copyright.txt" file under root folder
2. Better to have a version file, now 4.0.0?
3. sm_52 is for my computer now. So, maybe, you can let the users to choose their own Cuda architecture???

Cheers
Pei

Hi

Can someone supply an example on how to initialize an Aravis.Buffer via new() or new_full() using a preallocated memory buffer. (https://lazka.github.io/pgi-docs/Aravis-0.6/classes/Buffer.html#Aravis.Buffer.new)

End goal is to use buffers in shared memory so I can share them between python processes using multiprocessing.

Per https://www.chiefdelphi.com/t/cpp-multicameraserver-wont-build/375965/7, GRIP generates code that uses LineSegmentDetector. Per opencv/opencv_contrib#2016, LineSegmentDetector used Affero GPL v3 code and was removed. GRIP needs to remove the calls to LineSegmentDetector or relicense to a compatible license.