py-feat
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Facial Expression Analysis Toolbox
It looks like github actions now supports [m1 runners](https://github.com/github/roadmap/issues/507), let's add this to our testing suite.
Testing on 48x48 fer2013 led to undetected faces...
So I've run a few tests, as I've noticed that PyFeat is quite slow in comparison to something like OpenFace2. Turns out, while the CPU is always utilized, the GPU...
Currently, the verbose flag for Detector.detect_image is not used at all. When processing a folder with lots of frames, one can expect that the processing will take a long time....
Hi there, I am trying to extract AU values from some images. Calling the function "detector.detect_image" on each image individually, I obtain some values in the AU columns different from...
Hi there, I used detect_video to process my videos, but I got weird results. I don't know how it happens. The arguments I used are `skip_frames=1,batch_size = 256, singleframe4error =...
in detect_video and (concat_frame.shape[0] % batch_size == 0) TypeError: unsupported operand type(s) for %: 'int' and 'str' Hi, everytime I try to run Py-feat detector (au_model='svm', emotion_model='svm') and detect_Video with...
Hi, I wish to use au_model="rf" since RF model gives the intensity as random continuous variable unlike SVM which just gives the possiblity of detecting aus for my analysis. It...
Hi, When I install version 0.3.7, and run: `out = detector.detect_image(img_path) gt_aus = out.facepose().values` an error was called: ![image](https://user-images.githubusercontent.com/19970321/177719260-552c8367-321c-4fcc-a8e7-d9103f9b1abd.png) But this interface was available half a year ago.