Edgar Bermudez

This is a very complete GUI. Thanks for sharing! I have been testing it recently. I wanted to check if the FPS could be increased and I noticed that the...

Hi there, I also want to do this (change the last activation to softmax), I assume we need to do this in the config of every model (feature extractor, sequence,...

I changed the config file in both (feature extractor and sequence) train model specs. However, when I press predict, the output is still multiple labeled. What am I doing wrong?...

Hi, Just to confirm, the way to do this is by changing the config.yaml files (with final_activation = softmax) in the models\XXXXX-YYYYYY_feature_extractor_train\ and models\XXXXX-YYYYYY_sequence_train\ directories and then in the GUI...

Update: to have more control over settings, I am now running everything on jupyter (using the colab example as a guide). I can change the cfg.feature_extractor.final_activation = 'softmax'. Now re-training...

As i mentioned, now I changed feature_extractor.final_activation='softmax' and sequence.final_activation='softmax'. However, in the last step when I want to produce the predictions with postprocessing.postprocess_and_save(cfg) I get a csv file with '1's...

Hi elhananby, I am trying to do something similar (run deepinsight from google colab over neuralnyx files), is there a chance you could share how you did it? I am...

Hi all, I am also working on a similar use case, given certain parameters, I want an llm to summarize the most relevant information. So looking for some DSPy examples...