Nima Ghorbani commited on
Commit
2fe587e
·
1 Parent(s): 251ce42

Reorganize measurements, add 2026-04-20 capture, setup images, demo videos

Browse files

- Move 2026_04_15_16_28_10/ -> measurements/cu3s/2026_04_15_16_28_10/
- Add new measurement measurements/cu3s/2026_04_20_16_28_54/ (incl. spam-overlay-rgb.xml)
- Add measurements/README.md with capture metadata
- Add setup-images/20260331/ (4 site photos)
- Embed Passive / Active / All-humans demo videos in README (centered, max 500 px)
- Track *.cu3s and *.info via LFS

.gitattributes CHANGED
@@ -59,3 +59,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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  2026_04_15_16_28_10/Auto_000.cu3s filter=lfs diff=lfs merge=lfs -text
 
 
 
 
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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  2026_04_15_16_28_10/Auto_000.cu3s filter=lfs diff=lfs merge=lfs -text
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+ # Cubert measurement files
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+ *.cu3s filter=lfs diff=lfs merge=lfs -text
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+ *.info filter=lfs diff=lfs merge=lfs -text
2026_04_15_16_28_10/Auto_000.info DELETED
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README.md CHANGED
@@ -73,6 +73,32 @@ The full tracking pipeline is built in [**Cuvis.AI**](https://docs.cuvis.ai) —
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  3. **SAM3MaskPropagation** — runs SAM3 in mask-propagation mode over the clip, seeded once by a `MaskPrompt` node (`--prompt 17:1@65` = seed mask for object 17 at frame 65).
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  4. **TrackingOverlay + ToVideoNode** — renders the mask contours on the false-RGB frames and encodes an mp4.
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  ## Learn more
77
 
78
  - **Cuvis.AI documentation** — <https://docs.cuvis.ai>
 
73
  3. **SAM3MaskPropagation** — runs SAM3 in mask-propagation mode over the clip, seeded once by a `MaskPrompt` node (`--prompt 17:1@65` = seed mask for object 17 at frame 65).
74
  4. **TrackingOverlay + ToVideoNode** — renders the mask contours on the false-RGB frames and encodes an mp4.
75
 
76
+ ## Demo videos
77
+
78
+ ### Passive tracking
79
+
80
+ <p align="center">
81
+ <video src="measurements/cu3s/2026_04_15_16_28_10/Auto_000_gt_vs_pred.mp4" controls muted loop playsinline style="max-width:500px;width:100%;"></video>
82
+ </p>
83
+
84
+ *Ground truth vs prediction during the passive phase — the three actors walk in single file with mutual occlusions; the hyperspectral tracker preserves the correct ID lock on T.*
85
+
86
+ ### Active tracking
87
+
88
+ <p align="center">
89
+ <video src="measurements/cu3s/2026_04_20_16_28_54/Auto_000_combined.mp4" controls muted loop playsinline style="max-width:500px;width:100%;"></video>
90
+ </p>
91
+
92
+ *Combined view after T sprays D1 with the spectral ink — the marker becomes a deterministic, training-free signature that the tracker locks onto.*
93
+
94
+ ### All humans (baseline)
95
+
96
+ <p align="center">
97
+ <video src="measurements/cu3s/2026_04_15_16_28_10/Auto_000-all-humans.mp4" controls muted loop playsinline style="max-width:500px;width:100%;"></video>
98
+ </p>
99
+
100
+ *Untargeted run with every detected person tracked — the same pipeline configured for class-level tracking instead of single-target lock.*
101
+
102
  ## Learn more
103
 
104
  - **Cuvis.AI documentation** — <https://docs.cuvis.ai>
measurements DELETED
File without changes
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1
+ ===============================================================================
2
+ ____ _ _ ____ ____ ____ ____
3
+ / ___)( )( )( _ \( __)( _ \(_ _)
4
+ ( (___ )__( ) _ ( ) _) ) / )(
5
+ \____)(____)(____/(____)(_)\_) (__)
6
+
7
+ [[ HYPERSPECTRAL DATA LOG ]] EST. 2012 // CUBERT-HYPERSPECTRAL
8
+ ===============================================================================
9
+
10
+ [ GENERAL INFORMATION ]
11
+ -------------------------------------------------------------------------------
12
+ Project Name : Distridays UseCase 1
13
+ Date : 2026-04-24
14
+ Operator : Development Team at Cubert
15
+ Additional Data : none
16
+
17
+ [ HARDWARE CONFIGURATION ]
18
+ +-----------------------------------------------------------------------------+
19
+ | Camera Model : [x] ULTRIS XMR [ ] FireflEYE 185 [ ] ULTRIS X20p |
20
+ | Other Model : ____________________ |
21
+ | Lens/Optic : ___50mm / f2.0_____ (e.g. 25mm / f2.8) |
22
+ | Accessories : [ ] Polarizer [ ] Filter: __________ [x] None |
23
+ +-----------------------------------------------------------------------------+
24
+
25
+ [ SETUP & LIGHTING ]
26
+ +-----------------------------------------------------------------------------+
27
+ | Light Source : [ ] Halogen [ ] LED [X] Sunlight [ ] ____________ |
28
+ | Distance (m) : __100___ m |
29
+ | Setup Notes : Busy bus station. Human actors with similar outfit |
30
+ | looking different in spectral view. |
31
+ | |
32
+ +-----------------------------------------------------------------------------+
33
+
34
+ [ ACQUISITION SETTINGS ]
35
+ +-----------------------------------------------------------------------------+
36
+ | MEASUREMENT MODE: |
37
+ | [ ] Single Capture [X] Video Mode [ ] External Trigger |
38
+ | |
39
+ | Integration Time: ____17____ ms Frame Rate: ___15___ fps |
40
+ | White Reference : ___NO WHITE REFERENCE____ (e.g. Spectralon 99%) |
41
+ | Dark Current : [X] Recorded |
42
+ | Distance : mm |
43
+ +-----------------------------------------------------------------------------+
44
+
45
+ [ OBJECT & SCENE DESCRIPTION ]
46
+ -------------------------------------------------------------------------------
47
+ Object Type : ___Human (Complex scene)_______ (e.g. Vegetation, Mineral, Lab-Sample)
48
+
49
+ Description set up and application:
50
+
51
+ Goal: Demonstrate that hyperspectral features beyond the visible spectrum
52
+ improve person tracking in a crowded scene — fewer false ID switches and
53
+ more reliable lock on the correct person than an RGB-only tracker can
54
+ achieve.
55
+
56
+ Setting: Outdoor bus station with a busy pedestrian background. Camera on
57
+ a static tripod roughly 100 m from the subject area, pointing at a section
58
+ where pedestrians pass and wait. Hyperspectral data cube captured in video
59
+ mode; spectral bands beyond the visible are exploited as tracking cues.
60
+
61
+ Subjects: Three actors — T (target), D1 (decoy 1), D2 (decoy 2). All three
62
+ wear visually identical outfits so they look similar in the RGB projection
63
+ of the hyperspectral cube. T wears a garment made of a material that looks
64
+ distinct in CIR (colour infrared). This CIR difference is the spectral cue
65
+ the tracker is expected to exploit.
66
+
67
+ Passive phase: Actors walk in single file toward or away from the camera,
68
+ occluding one another along the optical axis. A visible-only tracker tends
69
+ to swap IDs in this setting; hyperspectral cues should preserve the
70
+ correct lock.
71
+
72
+ Active phase: While on camera, T carries a bottle of "invisible" ink that
73
+ is visible only in specific spectral bands and sprays D1 with it. The
74
+ spray adds a trackable spectral signature to D1 mid-recording. After
75
+ marking, the three actors walk out of the scene from the opposite side,
76
+ so the tail of the take shows the post-marking state.
77
+
78
+ [ CREDITS & REFERENCES ]
79
+ -------------------------------------------------------------------------------
80
+ Recorded and processed by the AI Team@Cubert <cuvis.ai@cubert-gmbh.de>.
81
+ Dataset page : https://huggingface.co/datasets/cubert-gmbh/XMR_Demo_Object_Tracking
82
+
83
+ -------------------------------------------------------------------------------
84
+ END OF LOG | Cubert Hyperspectral Systems
85
+ ===============================================================================
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+ <?xml version="1.0"?>
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+ <userplugin xmlns="http://cubert-gmbh.de/user/plugin/userplugin.xsd">
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+ <comment>
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+ Spectral Angle Mapper (SAM) Masked RGB View:
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+ ---
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+ </comment>
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+ <input id="SAM_Threshold" type="scalar" min="0" max="1">0.91</input>
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+ <input id="Width" type="scalar" min="1" max="200">20</input>
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+ <input id="Normalize" type="scalar">0.75</input>
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+ <value>2</value>
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+ <evaluate id="BlueChan">
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+ <fastmono wl_min="BlueMin" wl_max="BlueMax" normalize="Normalize" />
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+ </evaluate>
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+ <evaluate id="SAM_Mask">
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+ <correlation method="spectral_angle" match_label="1" nomatch_label="0" threshold_ref="SAM_Threshold" spectrum_ref="ReferenceSpectrum" ref_min="SAM_MinWL" ref_max="SAM_MaxWL">
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+ <cube />
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+ </correlation>
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+ </evaluate>
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+ <evaluate id="MaskedRed">
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+ <select threshold="0.5">
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+ <variable ref="SAM_Mask" />
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+ <value>255</value>
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+ <variable ref="MaskedGreen" />
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+ <B>
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