Comments (4)
The implementation used on the paper experiment was a vanilla LSTM using tensorflow based on this public repo. Don't forget to normalize the sequences (or download the already normalized ones from the dataset folder) if you are attempting to replicate the results on the paper!
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Thank you for your quick reply and for sharing. Yes I'm trying to replicate the results (the action recognition part).
from hand_pose_action.
Hello again @guiggh,
Please, I have one last question, did you have padded the sequences with zeros to a fixed max size ? Thank you in advance.
from hand_pose_action.
Hi @Bestyasser, we used 120 frames as fixed max size and padded with zeros up to that number if the sequence is shorter. If the sequence is longer, we just cut the tail of the sequence and fill up to 120 frames. Hope it helps!
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Related Issues (15)
- Align depth to color frame HOT 1
- Could not download dataset properly. HOT 2
- Question about action_sequence_normalised HOT 1
- False alignment when project 3D hand skeleton and object to 2D image plane HOT 1
- Camera transformations HOT 1
- On the problem of coordinate system HOT 1
- How could i use 'data_split_action_recognition.txt' HOT 1
- Normalized action sequences HOT 1
- Link of data and pretrained model download HOT 3
- How to train in my own dataset HOT 1
- Webcam Demo HOT 1
- Precomputed centers from deep prior++ HOT 1
- field of view HOT 1
- Can not access the dataset by website link :https://imperialcollegelondon.app.box.com/v/first-person-action-benchmark HOT 1
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