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y_images = glob.glob(not_fall + '/flow_x*.jpg') should be '/flow_y*.jpg'
Question:
whether the Extracted features and labels for Multicam were extracted with this script?
I tried to reproduce and got very bad sensitivity(less than 50%) with those (Extracted features and labels) , not sure whether it caused by wrong features
The text was updated successfully, but these errors were encountered:
Yes, it is a typo, I have already fixed it, thank you.
whether the Extracted features and labels for Multicam were extracted with this script?
Sorry, I do not remember.
I tried to reproduce and got very bad sensitivity(less than 50%) with those (Extracted features and labels) , not sure whether it caused by wrong features
It may be the case, as the vertical flow should be the most important one for the classification.
Thank you for your research. Is the extracted feature of the multicam dataset downloaded through the link correct? I tried to reproduce temporalent_ Combined.py has a very bad result (about 50% accuracy)
Fall-Detection-with-CNNs-and-Optical-Flow/temporalnet_multicam.py
Line 206 in 98f8338
y_images = glob.glob(not_fall + '/flow_x*.jpg') should be '/flow_y*.jpg'
Question:
whether the Extracted features and labels for Multicam were extracted with this script?
I tried to reproduce and got very bad sensitivity(less than 50%) with those (Extracted features and labels) , not sure whether it caused by wrong features
The text was updated successfully, but these errors were encountered: