infantlab / babyjokes Goto Github PK

The faces.csv could have the 'parent' 'child' labels applied. Sometimes this is easy by seeing which bounding box teh faces are in. But gets slightly more difficult when baby on parents lap.

Add a helper function that works out which person is which.
We expect each video to contain a parent and child. Yolo just labels person1 and person2. So want to algorithmically assign these. Could do it based on relative size of participants
baby << adult

In code\06_ca_clean_label_actors_remove_ghosts.ipynb we want to call display.createAnnotatedVideo for all the videos in our dataset.
Store the outputs in data\2_final
Follow a similar logic to how steps 2 & 3 generate the annotations

• don't run if already processed.
• Unless forceCreate = True
• Update processedvideos with path to annotated videos

Let's convert all coordinates to values between 0 and 1.

Might want two options for this.

1. (Required) Normalise by height and width. - Divide x coords by width and y coord by height. This seems to be how most models we are using work.
2. (Optional) Preserve aspect ratios. So divide all x and y coords by the max of (height, width). This also has the advantage of being easier to code.

Want to do this for pose-estimation coordinates and object and face bounding boxes. (And anything else we label on the videos).