MAFAT Challenge - WiFi Sensing: Non Invasive Human Presence Detection - Track 2 Forum

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> CORRECT CODE IMPLEMENTATION FOR LABEL PREPROCESSING

Hi, pls can anyone or organizers help with the correct or updated make_data function to create num_people and occupancy for track 1 and 2 based on their new definitions
thanks

Posted by: tomy4reel @ June 11, 2022, 5:27 a.m.

Hi,
Unfortunately, our team won’t provide such a script :)
But we would be happy if one of the participants would like to share their script.
MAFAT Challenge Team

Posted by: MAFAT_Challenge @ June 12, 2022, 11:26 a.m.

def get_target(window):

count_dct = {0: 0, 1: 0, 2: 0, 3: 0}
max_people = 0
for p in window['Num_People']:

for i in range(4):
if p >= i:
count_dct[i] += 1
else:
count_dct[i] = 0

if count_dct[i] >= 20:
max_people = max(max_people, i)

return max_people

Can the organizers please verify and let me know if the above implementation for windows of size 360 is correct ?

Posted by: devnikhilmishra @ June 14, 2022, 7:18 a.m.

Hi,
The team can not approve or not approve specific code implementations.
Please refer to the post:
Evaluation - Definition of occupancy and number of people in non-homogenous windows in the test set
(https://codalab.lisn.upsaclay.fr/forums/3798/500/).
Please, feel free to ask us specific questions about the definitions by email or in the forum.
MAFAT Challenge Team

Posted by: MAFAT_Challenge @ June 14, 2022, 10:32 a.m.

Hi,

We added new labeling examples that might be helpful.
Please refer to them in the post:
Evaluation - Definition of occupancy and number of people in non-homogenous windows in the test set
https://codalab.lisn.upsaclay.fr/forums/3798/500/

MAFAT Challenge Team

Posted by: MAFAT_Challenge @ June 16, 2022, 8:16 a.m.

ok, thanks

Posted by: tomy4reel @ June 16, 2022, 10:49 a.m.
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