a4b7190756
first draft for read me + requirements.txt
2026-03-05 13:18:17 +01:00
f95d59e44d
removed dataset file from repo
2026-03-05 12:16:52 +01:00
de12c1407c
current files from jetson board
2026-03-05 12:13:27 +01:00
537b452449
changed leaky relu syntax to remove keras bug
2026-03-04 17:59:05 +01:00
3169c29319
mini changes in predict pipeline
2026-03-04 17:01:43 +01:00
13bd76631f
outsourcing of scaler in iforest and deep svdd, removal of paths
2026-03-04 16:51:22 +01:00
6cc38291df
clean up predict pipeline 1
2026-03-04 16:21:06 +01:00
8b6c547387
deletion of vae files
2026-03-04 15:19:15 +01:00
de0084dc09
getting rid of redundant files in dataset creation
2026-03-04 15:09:23 +01:00
af3f9d16b2
minor fixes to new paths / dataset with all columns
2026-03-04 12:25:07 +01:00
3d8c7c6639
added predict service, timer and config file from jetson board
2026-03-04 11:14:40 +01:00
7b7f89cf9d
changed gitignore to allow service, timer and yaml
2026-03-04 11:11:29 +01:00
8f24adbdbd
merge of deployment into main
2026-03-04 11:04:00 +01:00
36bae270a1
notebook to calculate replacement values and minor changes
2026-03-04 10:55:56 +01:00
TimoKurz
4cb06d0497
- added comments to the code
...
- translated all outputs and comments to english
2026-03-02 17:55:50 +01:00
f19dde3f9a
update CNNs
2026-03-01 18:31:42 +01:00
TimoKurz
e69000fbd8
- added earlyFusionTest
...
- changed to group split
2026-02-24 19:51:29 +01:00
7a63c7acd3
CNN test and evaluation
2026-02-24 17:54:23 +01:00
0f11a88ae7
CNN with test-split
2026-02-24 15:48:23 +01:00
984ef89a07
change of Early_Fusion
2026-02-24 13:27:12 +01:00
15190ac52e
CNNs
2026-02-24 11:42:58 +01:00
TimoKurz
42965a4733
- added new files
...
- implemented data base writing of AU and ET
2026-02-19 17:14:31 +01:00
4eab3c9876
adjusted paths (this is the deployment setting)
2026-02-16 20:11:07 +00:00
2b01085a9e
scaler v2
2026-02-16 19:32:32 +01:00
0088cef32a
small changes and lazy import of tensorflow
2026-02-16 18:58:18 +01:00
cf88f88814
uploaded config file
2026-02-16 17:07:49 +00:00
2a014e1e4e
first version
2026-02-16 18:06:07 +01:00
TimoKurz
0e25ba4a3e
- added database functionality
...
- added writing of AUs into database in camera_stream
- added script to measure ActionUnits and Eyetracking data in one file
2026-02-15 16:08:23 +01:00
TimoKurz
832a765575
- added implementation to create 50sec video files out of camera lifestream for every 5 seconds
...
- added action unit recognition to the camera stream
2026-02-07 11:27:40 +01:00
3d86bfe6d0
empty feature creation
2026-01-31 17:51:27 +01:00
9b7bb945bc
new files for comissioning
2026-01-29 20:06:42 +00:00
a9ff3880e2
rearrarngement of files
2026-01-29 18:12:13 +01:00
5a216b22fd
tool functions for sqlite database
2026-01-29 17:04:36 +00:00
0294d4e584
files for testing
2026-01-29 13:48:47 +00:00
4f6c3b7370
created low code script for model deployment
2026-01-27 19:28:12 +01:00
9951d8b4f9
aufraeumen branch
2026-01-27 19:10:24 +01:00
5f2db4d0c9
init commit on deployment, removed EDA files
2026-01-27 18:42:40 +01:00
eee173dc0b
added clean eye df call to combined feature creation
...
bug fix, was missing in combined feature creation script
2026-01-26 17:53:54 +01:00
38e9354c42
fixed blink bug in dataset creation
2026-01-26 13:11:06 +01:00
ee648f9adc
added subset filtering to notebook
2026-01-24 19:15:31 +01:00
29d70ce713
created Notebook for subset distribution analysis
2026-01-24 18:15:26 +01:00
d79fad909c
changed script for combined feature creation
...
min duration for blink is now configurable in __main__
2026-01-22 18:43:08 +01:00
TimoKurz
fc6c593f6b
- added xgboost to classify AU and EyeTracking features
2026-01-11 17:21:07 +01:00
10bc7c568a
complete deep svdd training notebook inclucing person wise normalisation
2026-01-02 21:03:58 +01:00
267df136dd
oc com
2026-01-02 13:14:41 +01:00
f0affaed05
AE von ki cluster
2026-01-02 13:14:41 +01:00
a3119e4fc3
tool function for performance based split; new model training notebooks
2026-01-02 12:02:48 +01:00
TimoKurz
f5796a5cdd
- added description to use py-feat
...
- added script:
-- to split a video into 2min clips
-- to extract AUs from a video
2025-12-24 19:08:39 +01:00
a1bdf470cc
changed read me
2025-12-18 15:29:50 +01:00
7708ac1b29
combined dataset creation pipeline
...
CPFC_both.py: creates parquet files chunkwise that include study level phase subjectID, FACE_AU and Eye tracking columns
combined_feature_creation.py : creates a single dataset by computing the features in parallel for the same time window --> same sample rate required
2025-12-18 15:25:18 +01:00
