Luke Chang

thanks for this suggestion, we will be including an update for this in our upcoming release.

I believe this should now be added to the new version of py-feat. Set `progress_bar=False` in `Detector.detect()`

hi @flashpixx , thanks for your suggestion. We have almost finished a pretty large refactor to update and streamline dependencies. @ejolly, do you have any thoughts about switching to poetry?

hi @Sanjeev-Monash, thanks for your question. We haven't really explored this possibility yet, and most of our development efforts have focused on usability and stability over optimizing for performance. We...

hi @GuiCamargoX , each individual detector requires different inputs. For example, the AU detector requires landmark information, and some of the landmark detectors require face bounding boxes. Here is a...

Hi @irenexu , we are close to completing a major refactor that will allow disabling individual models and also better performance on GPUs. stay tuned. To speed things up, people...

Great question. Unfortunately, we do not have the ability to identify unique faces outside position within the image. This is a feature that we would like to incorporate at some...

ok, looks like we have face identity tracking implemented now. We are using a very simple algorithm to cluster faces using embeddings from facenet - a face recognition model. I...

Thanks for the feedback @Pablo-Arias. We have py-feat setup to be able to potentially use the M1 GPUs. However, this is still a relatively new feature for pytorch and I...

Thanks for sharing @dheshanm . Do you mind also sharing some details about your system? Particularly the versions of pytorch, torchvision, cuda as well as the type of GPU, GPU...