Unify analysis pipeline around the TSV; move tracked DBs out of cloud sync
- Tracked DBs now live at /mnt/data/projects/cupido/tracked/ (out of
ownCloud to avoid sync conflicts and bandwidth churn). config.py
TRACKING_OUTPUT_DIR points there; the docker-compose for ethoscope-lab
mounts it world-readable for JupyterHub users.
- New scripts/export_video_db_index.py joins all_video_info_merged.xlsx
with the video inventory and the on-disk DBs, producing a TSV that has
one row per fly/ROI plus training/testing video and DB paths. Handles
approximate xlsx times, cross-day training/testing, the 12 AM/PM
ambiguity, and date typos.
- scripts/load_roi_data.py rewritten as a TSV-driven loader returning a
single DataFrame with session and metadata columns. calculate_distances
and the two flies_analysis notebooks migrated to use it; downstream
trained/naive splits remain available via simple equality filters.
- Metadata vocabulary canonicalized: {naïve, niave, untrained, test} all
resolve to {trained, naive}. Normalization happens at the TSV-export
boundary (idempotent); the xlsx and the 2025-07-15 legacy CSV were
edited in place to remove the worst variants.
- scripts/monitor_tracking.py rate calculation fixed: with N parallel
workers, completions arrive in bursts; the old formula divided by burst
width and reported nonsense rates. Now uses a 6 h window denominator.
- scripts/track_videos.py: BGRMovieCamera retries cv2.read on transient
NFS hiccups and a post-tracking completeness gate (≥ 90 % of expected
duration via MAX(t) across all 6 ROIs) deletes silent partial DBs.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
parent
e4da7691d5
commit
f60a9d0530
13 changed files with 569 additions and 237 deletions
|
|
@ -1,37 +1,37 @@
|
|||
date,HHMMSS,machine_name,ROI,genotype,group,path,filesize_mb
|
||||
date,HHMMSS,machine_name,ROI,genotype,group,path,filesize_mb
|
||||
15/07/2025,16-03-10,76,6,CS,trained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-03-10/2025-07-15_16-03-10_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,59.4
|
||||
15/07/2025,16-03-10,76,4,CS,untrained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-03-10/2025-07-15_16-03-10_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,59.4
|
||||
15/07/2025,16-03-10,76,4,CS,naive,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-03-10/2025-07-15_16-03-10_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,59.4
|
||||
15/07/2025,16-03-10,76,2,CS,trained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-03-10/2025-07-15_16-03-10_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,59.4
|
||||
15/07/2025,16-03-10,76,5,CS,untrained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-03-10/2025-07-15_16-03-10_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,59.4
|
||||
15/07/2025,16-03-10,76,5,CS,naive,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-03-10/2025-07-15_16-03-10_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,59.4
|
||||
15/07/2025,16-03-10,76,3,CS,trained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-03-10/2025-07-15_16-03-10_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,59.4
|
||||
15/07/2025,16-03-10,76,1,CS,untrained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-03-10/2025-07-15_16-03-10_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,59.4
|
||||
15/07/2025,16-03-10,76,1,CS,naive,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-03-10/2025-07-15_16-03-10_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,59.4
|
||||
15/07/2025,16-31-34,76,6,CS,trained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-31-34/2025-07-15_16-31-34_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,78.98
|
||||
15/07/2025,16-31-34,76,4,CS,trained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-31-34/2025-07-15_16-31-34_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,78.98
|
||||
15/07/2025,16-31-34,76,2,CS,trained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-31-34/2025-07-15_16-31-34_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,78.98
|
||||
15/07/2025,16-31-34,76,5,CS,untrained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-31-34/2025-07-15_16-31-34_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,78.98
|
||||
15/07/2025,16-31-34,76,3,CS,untrained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-31-34/2025-07-15_16-31-34_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,78.98
|
||||
15/07/2025,16-31-34,76,1,CS,untrained,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-31-34/2025-07-15_16-31-34_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,78.98
|
||||
15/07/2025,16-31-34,76,5,CS,naive,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-31-34/2025-07-15_16-31-34_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,78.98
|
||||
15/07/2025,16-31-34,76,3,CS,naive,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-31-34/2025-07-15_16-31-34_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,78.98
|
||||
15/07/2025,16-31-34,76,1,CS,naive,/mnt/ethoscope_data/videos/076e2825a7274661bd0697c42d6fa4c0/ETHOSCOPE_076/2025-07-15_16-31-34/2025-07-15_16-31-34_076e2825a7274661bd0697c42d6fa4c0__1920x1088@25fps-28q_merged.mp4,78.98
|
||||
15/07/2025,16-03-27,145,6,CS,trained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-03-27/2025-07-15_16-03-27_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,78.72
|
||||
15/07/2025,16-03-27,145,4,CS,trained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-03-27/2025-07-15_16-03-27_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,78.72
|
||||
15/07/2025,16-03-27,145,2,CS,trained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-03-27/2025-07-15_16-03-27_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,78.72
|
||||
15/07/2025,16-03-27,145,5,CS,untrained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-03-27/2025-07-15_16-03-27_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,78.72
|
||||
15/07/2025,16-03-27,145,3,CS,untrained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-03-27/2025-07-15_16-03-27_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,78.72
|
||||
15/07/2025,16-03-27,145,1,CS,untrained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-03-27/2025-07-15_16-03-27_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,78.72
|
||||
15/07/2025,16-03-27,145,5,CS,naive,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-03-27/2025-07-15_16-03-27_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,78.72
|
||||
15/07/2025,16-03-27,145,3,CS,naive,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-03-27/2025-07-15_16-03-27_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,78.72
|
||||
15/07/2025,16-03-27,145,1,CS,naive,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-03-27/2025-07-15_16-03-27_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,78.72
|
||||
15/07/2025,16-31-41,145,6,CS,trained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-31-41/2025-07-15_16-31-41_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,90.9
|
||||
15/07/2025,16-31-41,145,4,CS,trained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-31-41/2025-07-15_16-31-41_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,90.9
|
||||
15/07/2025,16-31-41,145,2,CS,trained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-31-41/2025-07-15_16-31-41_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,90.9
|
||||
15/07/2025,16-31-41,145,5,CS,untrained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-31-41/2025-07-15_16-31-41_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,90.9
|
||||
15/07/2025,16-31-41,145,3,CS,untrained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-31-41/2025-07-15_16-31-41_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,90.9
|
||||
15/07/2025,16-31-41,145,1,CS,untrained,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-31-41/2025-07-15_16-31-41_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,90.9
|
||||
15/07/2025,16-31-41,145,5,CS,naive,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-31-41/2025-07-15_16-31-41_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,90.9
|
||||
15/07/2025,16-31-41,145,3,CS,naive,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-31-41/2025-07-15_16-31-41_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,90.9
|
||||
15/07/2025,16-31-41,145,1,CS,naive,/mnt/ethoscope_data/videos/145bb573497a4e15b0690206748a3af6/ETHOSCOPE_145/2025-07-15_16-31-41/2025-07-15_16-31-41_145bb573497a4e15b0690206748a3af6__1920x1088@25fps-28q_merged.mp4,90.9
|
||||
15/07/2025,16-31-52,139,6,CS,trained,/mnt/ethoscope_data/videos/13924be2046d49f4a641cef2a5559852/ETHOSCOPE_139/2025-07-15_16-31-52/2025-07-15_16-31-52_13924be2046d49f4a641cef2a5559852__1920x1088@25fps-28q_merged.mp4,73.4
|
||||
15/07/2025,16-31-52,139,4,CS,trained,/mnt/ethoscope_data/videos/13924be2046d49f4a641cef2a5559852/ETHOSCOPE_139/2025-07-15_16-31-52/2025-07-15_16-31-52_13924be2046d49f4a641cef2a5559852__1920x1088@25fps-28q_merged.mp4,73.4
|
||||
15/07/2025,16-31-52,139,2,CS,trained,/mnt/ethoscope_data/videos/13924be2046d49f4a641cef2a5559852/ETHOSCOPE_139/2025-07-15_16-31-52/2025-07-15_16-31-52_13924be2046d49f4a641cef2a5559852__1920x1088@25fps-28q_merged.mp4,73.4
|
||||
15/07/2025,16-31-52,139,5,CS,untrained,/mnt/ethoscope_data/videos/13924be2046d49f4a641cef2a5559852/ETHOSCOPE_139/2025-07-15_16-31-52/2025-07-15_16-31-52_13924be2046d49f4a641cef2a5559852__1920x1088@25fps-28q_merged.mp4,73.4
|
||||
15/07/2025,16-31-52,139,3,CS,untrained,/mnt/ethoscope_data/videos/13924be2046d49f4a641cef2a5559852/ETHOSCOPE_139/2025-07-15_16-31-52/2025-07-15_16-31-52_13924be2046d49f4a641cef2a5559852__1920x1088@25fps-28q_merged.mp4,73.4
|
||||
15/07/2025,16-31-52,139,1,CS,untrained,/mnt/ethoscope_data/videos/13924be2046d49f4a641cef2a5559852/ETHOSCOPE_139/2025-07-15_16-31-52/2025-07-15_16-31-52_13924be2046d49f4a641cef2a5559852__1920x1088@25fps-28q_merged.mp4,73.4
|
||||
15/07/2025,16-32-05,268,6,CS,untrained,/mnt/ethoscope_data/videos/268102f92f51486f995200c29d980477/ETHOSCOPE_268/2025-07-15_16-32-05/2025-07-15_16-32-05_268102f92f51486f995200c29d980477__1920x1088@25fps-28q_merged.mp4,43.72
|
||||
15/07/2025,16-32-05,268,4,CS,untrained,/mnt/ethoscope_data/videos/268102f92f51486f995200c29d980477/ETHOSCOPE_268/2025-07-15_16-32-05/2025-07-15_16-32-05_268102f92f51486f995200c29d980477__1920x1088@25fps-28q_merged.mp4,43.72
|
||||
15/07/2025,16-32-05,268,2,CS,untrained,/mnt/ethoscope_data/videos/268102f92f51486f995200c29d980477/ETHOSCOPE_268/2025-07-15_16-32-05/2025-07-15_16-32-05_268102f92f51486f995200c29d980477__1920x1088@25fps-28q_merged.mp4,43.72
|
||||
15/07/2025,16-31-52,139,5,CS,naive,/mnt/ethoscope_data/videos/13924be2046d49f4a641cef2a5559852/ETHOSCOPE_139/2025-07-15_16-31-52/2025-07-15_16-31-52_13924be2046d49f4a641cef2a5559852__1920x1088@25fps-28q_merged.mp4,73.4
|
||||
15/07/2025,16-31-52,139,3,CS,naive,/mnt/ethoscope_data/videos/13924be2046d49f4a641cef2a5559852/ETHOSCOPE_139/2025-07-15_16-31-52/2025-07-15_16-31-52_13924be2046d49f4a641cef2a5559852__1920x1088@25fps-28q_merged.mp4,73.4
|
||||
15/07/2025,16-31-52,139,1,CS,naive,/mnt/ethoscope_data/videos/13924be2046d49f4a641cef2a5559852/ETHOSCOPE_139/2025-07-15_16-31-52/2025-07-15_16-31-52_13924be2046d49f4a641cef2a5559852__1920x1088@25fps-28q_merged.mp4,73.4
|
||||
15/07/2025,16-32-05,268,6,CS,naive,/mnt/ethoscope_data/videos/268102f92f51486f995200c29d980477/ETHOSCOPE_268/2025-07-15_16-32-05/2025-07-15_16-32-05_268102f92f51486f995200c29d980477__1920x1088@25fps-28q_merged.mp4,43.72
|
||||
15/07/2025,16-32-05,268,4,CS,naive,/mnt/ethoscope_data/videos/268102f92f51486f995200c29d980477/ETHOSCOPE_268/2025-07-15_16-32-05/2025-07-15_16-32-05_268102f92f51486f995200c29d980477__1920x1088@25fps-28q_merged.mp4,43.72
|
||||
15/07/2025,16-32-05,268,2,CS,naive,/mnt/ethoscope_data/videos/268102f92f51486f995200c29d980477/ETHOSCOPE_268/2025-07-15_16-32-05/2025-07-15_16-32-05_268102f92f51486f995200c29d980477__1920x1088@25fps-28q_merged.mp4,43.72
|
||||
15/07/2025,16-32-05,268,5,CS,trained,/mnt/ethoscope_data/videos/268102f92f51486f995200c29d980477/ETHOSCOPE_268/2025-07-15_16-32-05/2025-07-15_16-32-05_268102f92f51486f995200c29d980477__1920x1088@25fps-28q_merged.mp4,43.72
|
||||
15/07/2025,16-32-05,268,3,CS,trained,/mnt/ethoscope_data/videos/268102f92f51486f995200c29d980477/ETHOSCOPE_268/2025-07-15_16-32-05/2025-07-15_16-32-05_268102f92f51486f995200c29d980477__1920x1088@25fps-28q_merged.mp4,43.72
|
||||
15/07/2025,16-32-05,268,1,CS,trained,/mnt/ethoscope_data/videos/268102f92f51486f995200c29d980477/ETHOSCOPE_268/2025-07-15_16-32-05/2025-07-15_16-32-05_268102f92f51486f995200c29d980477__1920x1088@25fps-28q_merged.mp4,43.72
|
||||
|
|
|
|||
|
|
|
@ -1,39 +1,47 @@
|
|||
# Processed Data
|
||||
|
||||
Large CSV files generated from the analysis pipeline. All files are gitignored (~370MB total) and can be regenerated.
|
||||
CSVs derived from the tracking DBs (`/mnt/data/projects/cupido/tracked/`)
|
||||
and the merged TSV (`../../all_video_info_merged.tsv`). All files are
|
||||
gitignored and regenerable.
|
||||
|
||||
## Files and Regeneration
|
||||
|
||||
| File | Description | Generated By |
|
||||
|------|-------------|--------------|
|
||||
| `trained_roi_data.csv` | Raw tracking data for trained ROIs | `scripts/load_roi_data.py` or notebook step 1 |
|
||||
| `untrained_roi_data.csv` | Raw tracking data for untrained ROIs | `scripts/load_roi_data.py` or notebook step 1 |
|
||||
| `trained_distances.csv` | Pairwise distances (unaligned) | `scripts/calculate_distances.py` |
|
||||
| `untrained_distances.csv` | Pairwise distances (unaligned) | `scripts/calculate_distances.py` |
|
||||
| `trained_distances_aligned.csv` | Distances aligned to barrier opening | Notebook step 4 |
|
||||
| `untrained_distances_aligned.csv` | Distances aligned to barrier opening | Notebook step 4 |
|
||||
| `trained_tracked.csv` | Identity-tracked fly positions | Notebook step 7 |
|
||||
| `untrained_tracked.csv` | Identity-tracked fly positions | Notebook step 7 |
|
||||
| `trained_max_velocity.csv` | Max velocity over 10s windows | Notebook step 7 |
|
||||
| `untrained_max_velocity.csv` | Max velocity over 10s windows | Notebook step 7 |
|
||||
| `distances.csv` | Per-frame inter-fly distances for every (date, machine, ROI, session). Includes metadata columns to filter trained vs naïve, training phase, species, etc. | `scripts/calculate_distances.py` |
|
||||
| `*_distances_aligned.csv` | (legacy, 2025-07-15 only) distances aligned to barrier opening | `notebooks/flies_analysis*.ipynb` |
|
||||
| `*_tracked.csv` | (legacy) identity-tracked fly positions | `notebooks/flies_analysis_simple.ipynb` |
|
||||
| `*_max_velocity.csv` | (legacy) max velocity over 10 s windows | `notebooks/flies_analysis_simple.ipynb` |
|
||||
|
||||
## To Regenerate All Data
|
||||
## Loading the data
|
||||
|
||||
Run the full notebook `notebooks/flies_analysis_simple.ipynb` with:
|
||||
```python
|
||||
recalculate_distances = True
|
||||
recalculate_tracking = True
|
||||
import sys
|
||||
sys.path.insert(0, "../scripts")
|
||||
from load_roi_data import load_roi_data
|
||||
|
||||
data = load_roi_data() # full batch as one DataFrame
|
||||
# Or filter the metadata first:
|
||||
import pandas as pd
|
||||
tsv = pd.read_csv("../../all_video_info_merged.tsv", sep="\t")
|
||||
data = load_roi_data(tsv[tsv.species.str.contains("Melanogaster")])
|
||||
```
|
||||
|
||||
**Warning**: Identity tracking and velocity calculations take significant time (~30+ minutes).
|
||||
The returned DataFrame has columns:
|
||||
`id, t, x, y, w, h, phi, is_inferred, has_interacted, session, ROI, date,
|
||||
machine_name, species, male, training_date_time, testing_date_time,
|
||||
training_length_hr, consolidation_length_hr, memory, age`.
|
||||
|
||||
## Column Reference
|
||||
`session` is `"training"` or `"testing"`; `male` is `"trained"` or
|
||||
`"naive"` (canonical — variants like `"naïve"` and `"niave"` are normalized
|
||||
at the TSV-export step).
|
||||
|
||||
### Distance CSVs (`*_distances_aligned.csv`)
|
||||
- `machine_name`: Ethoscope machine ID (string)
|
||||
- `ROI`: ROI number (1-6)
|
||||
- `aligned_time`: Time in ms relative to barrier opening (0 = opening)
|
||||
- `distance`: Euclidean distance between flies in pixels
|
||||
- `n_flies`: Number of flies detected at this time point
|
||||
- `area_fly1`, `area_fly2`: Bounding box areas (w*h) in pixels^2
|
||||
- `group`: "trained" or "untrained"
|
||||
## Column Reference (`distances.csv`)
|
||||
|
||||
- `date`, `machine_name`, `ROI`, `session`: identifies one fly trajectory
|
||||
- `t`: time in ms within that session
|
||||
- `distance`: Euclidean distance between the two flies in pixels
|
||||
- `n_flies`: number of fly detections at this frame (1 or 2)
|
||||
- `area_fly1`, `area_fly2`: bounding-box areas (`w * h`) in pixels²
|
||||
- `male`: `trained` or `naive` (carried from the xlsx; normalized)
|
||||
- `species`, `memory`, `age`: experimental metadata
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue