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  36. s4/3PointStep/3PointStep_0028.mp4 +3 -0
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README.md CHANGED
@@ -1,3 +1,240 @@
1
- ---
2
- license: mit
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-nc-4.0
3
+ language:
4
+ - en
5
+ task_categories:
6
+ - image-to-3d
7
+ tags:
8
+ - multi-view
9
+ - dance
10
+ - motion-capture
11
+ - 3d-reconstruction
12
+ - novel-view-synthesis
13
+ - colmap
14
+ - synchronized-cameras
15
+ - 3d
16
+ - video
17
+ annotations_creators:
18
+ - machine-generated
19
+ source_datasets:
20
+ - original
21
+ pretty_name: DanceNet3D
22
+ viewer: false
23
+ size_categories:
24
+ - 10K<n<100K
25
+ ---
26
+
27
+ # DanceNet3D
28
+
29
+
30
+ A large-scale synchronized multi-view dance dataset captured with 28-29 calibrated cameras at 800x1280 resolution. The dataset contains 47 dance sequences across 3 recording sessions, totaling **35,509 frames** with per-frame camera calibration (COLMAP), foreground masks, and optional color correction LUTs.
31
+
32
+ ## Dataset Summary
33
+
34
+ | Session | Sequences (available / total) | Cameras | Frames (available / total) | Size |
35
+ |---------|-------------------------------|---------|---------------------------|------|
36
+ | s4 | 9 / 9 | 29 | 6,786 / 6,786 | ~44 GB |
37
+ | s5 | 14 / 23 | 29 | 11,253 / 17,999 | ~53 GB |
38
+ | s6 | 6 / 15 | 28 | 4,134 / 10,724 | ~19 GB |
39
+ | **Total** | **29 / 47** | | **22,173 / 35,509** | **~116 GB** |
40
+
41
+ ## Data Format
42
+
43
+ Each session is stored as a directory (`s4/`, `s5/`, `s6/`) containing per-sequence subdirectories. Videos are encoded per-camera using **H.265 (libx265), CRF 18, yuv444p** at 1 fps. Each sequence includes:
44
+
45
+ - **Per-camera videos**: `{SequenceName}_{CameraID}.mp4` undistorted images without color LUT applied
46
+ - **COLMAP calibration**: `colmap/cameras.txt`, `colmap/images.txt` and binary formats
47
+ - **Foreground masks**: `masks.tar.zst` binary person segmentation masks generated with SAM3 and with manual quality review
48
+ - **Manifest**: `manifest.json` frame IDs, camera lists, and sequence metadata
49
+
50
+ ### Directory Structure
51
+
52
+ ```
53
+ DanceNet3D/
54
+ ├── README.md
55
+ ├── LICENSE
56
+ ├── requirements.txt
57
+ ├── video_to_images.py # Extraction script
58
+ ├── color_lut/ # Per-camera color correction LUTs (.cube)
59
+ │ ├── 0028.cube
60
+ │ └── ...
61
+ ├── s5/
62
+ │ ├── manifest.json
63
+ │ ├── AttitudePromenade/
64
+ │ │ ├── AttitudePromenade_0028.mp4
65
+ │ │ ├── AttitudePromenade_0103.mp4
66
+ │ │ ├── ...
67
+ │ │ ├── colmap/
68
+ │ │ │ ├── cameras.txt
69
+ │ │ │ ├── cameras.bin
70
+ │ │ │ ├── images.txt
71
+ │ │ │ └── images.bin
72
+ │ │ └── masks.tar.zst
73
+ │ └── ...
74
+ ├── s6/
75
+ │ └── ...
76
+ └── s4/
77
+ └── ...
78
+ ```
79
+
80
+ ### Extracted Frame Structure
81
+
82
+ After running `video_to_images.py`, the data is organized per-frame:
83
+
84
+ ```
85
+ output/
86
+ └── AttitudePromenade/
87
+ └── images_and_masks/
88
+ ├── 0000001/
89
+ │ ├── images_no_lut/ # Undistorted images (no color correction)
90
+ │ │ ├── 0028.png
91
+ │ │ ├── 0103.png
92
+ │ │ └── ...
93
+ │ ├── images/ # Color-corrected images (present if --apply-lut used)
94
+ │ │ └── ...
95
+ │ ├── masks/ # Binary foreground masks
96
+ │ │ ├── 0028.png
97
+ │ │ └── ...
98
+ │ └── sparse/0/ # COLMAP calibration
99
+ │ ├── cameras.txt
100
+ │ ├── cameras.bin
101
+ │ ├── images.txt
102
+ │ └── images.bin
103
+ ├── 0000002/
104
+ └── ...
105
+ ```
106
+
107
+ ## Quick Start
108
+
109
+ ### Prerequisites
110
+
111
+ - Python 3.8+
112
+ - FFmpeg
113
+ - zstd
114
+
115
+ ```bash
116
+ pip install -r requirements.txt
117
+ ```
118
+
119
+ ### Extract Frames
120
+
121
+ ```bash
122
+ # Extract a single session
123
+ python video_to_images.py --input s5 --output extracted/s5
124
+
125
+ # Extract specific sequences
126
+ python video_to_images.py --input s5 --output extracted/s5 --sequences AttitudePromenade Chacha
127
+
128
+ # Extract specific cameras only
129
+ python video_to_images.py --input s5 --output extracted/s5 --cameras 0028 1362
130
+
131
+ # Extract with color LUT correction applied
132
+ python video_to_images.py --input s5 --output extracted/s5 --apply-lut
133
+ ```
134
+
135
+ ### Using with COLMAP
136
+
137
+ The `colmap/` directory in each sequence contains pre-computed camera intrinsics and extrinsics in COLMAP format. Camera parameters correspond to the undistorted, rotated (portrait orientation) images.
138
+
139
+ ## Sequences
140
+
141
+ ### Session 4 (s4)
142
+
143
+ | Sequence | Frames | Cameras | Status |
144
+ |----------|--------|---------|--------|
145
+ | 3PointStep | 920 | 29 | Available |
146
+ | BartSimpson | 471 | 29 | Available |
147
+ | BizMarkie | 703 | 29 | Available |
148
+ | HouseFootworkAdvanced | 646 | 29 | Available |
149
+ | RoboCop | 920 | 29 | Available |
150
+ | RunningMan | 687 | 29 | Available |
151
+ | TheRooftop | 983 | 29 | Available |
152
+ | ToeTaps | 572 | 29 | Available |
153
+ | WuTang | 884 | 29 | Available |
154
+
155
+ ### Session 5 (s5)
156
+
157
+ | Sequence | Frames | Cameras | Status |
158
+ |----------|--------|---------|--------|
159
+ | AttitudePromenade | 814 | 29 | Available |
160
+ | BasicSuzieQ | 914 | 29 | Available |
161
+ | BigKicks | 750 | 29 | Available |
162
+ | BourreeTurns2 | 688 | 29 | Available |
163
+ | Chacha | 942 | 29 | Available |
164
+ | ComboSeated | 903 | 29 | Available |
165
+ | DoubleSpiral | 769 | 29 | Available |
166
+ | Flair | 752 | 29 | Available |
167
+ | Jumping | 552 | 29 | Available |
168
+ | Pirouettes | 981 | 29 | Available |
169
+ | Portdebras | 765 | 29 | Available |
170
+ | PortdebrasSeated | 906 | 29 | Available |
171
+ | RonDeJambeAtere2 | 726 | 29 | Available |
172
+ | SonBasic | 791 | 29 | Available |
173
+ | BourreeTurns | 607 | 29 | Coming soon |
174
+ | RonDeJambeAtere | 830 | 29 | Coming soon |
175
+ | RonDeJambeInAir | 614 | 29 | Coming soon |
176
+ | SalsaTurns | 729 | 29 | Coming soon |
177
+ | Shoulders | 682 | 29 | Coming soon |
178
+ | ShouldersSeated | 697 | 29 | Coming soon |
179
+ | SonBasicSeated | 924 | 29 | Coming soon |
180
+ | Turns | 733 | 29 | Coming soon |
181
+ | Twists | 930 | 29 | Coming soon |
182
+
183
+ ### Session 6 (s6)
184
+
185
+ | Sequence | Frames | Cameras | Status |
186
+ |----------|--------|---------|--------|
187
+ | BiancaGolden_Breathing | 829 | 28 | Available |
188
+ | BiancaGolden_Chimee | 610 | 28 | Available |
189
+ | BiancaGolden_CircleTurns | 433 | 28 | Available |
190
+ | BiancaGolden_GrandPlies | 1061 | 28 | Available |
191
+ | BiancaGolden_SalsaBasic | 450 | 28 | Available |
192
+ | RobertRubama_RussiaCostume | 751 | 28 | Available |
193
+ | BiancaGolden_DropTurn | 612 | 28 | Coming soon |
194
+ | BiancaGolden_Ocho | 472 | 28 | Coming soon |
195
+ | BiancaGolden_Portedbras | 940 | 28 | Coming soon |
196
+ | BiancaGolden_ReleasetoFloor | 395 | 28 | Coming soon |
197
+ | BiancaGolden_RollDown | 1,334 | 28 | Coming soon |
198
+ | BiancaGolden_StyleArms | 588 | 28 | Coming soon |
199
+ | BiancaGolden_Swings | 603 | 28 | Coming soon |
200
+ | BiancaGolden_SyncopatedGroove | 919 | 28 | Coming soon |
201
+ | RobertRubama_RussiaRehearsal | 727 | 28 | Coming soon |
202
+
203
+ ## Technical Details
204
+
205
+ - **Resolution**: 800 x 1280
206
+ - **Cameras**: 28-29 synchronized Intel RealSense D455
207
+ - **Frame rate**: Captured at 30 fps
208
+ - **Image format**: PNG
209
+ - **Masks**: Binary foreground segmentation via SAM3, stored as PNG
210
+ - **Calibration**: COLMAP format
211
+ - **Color LUTs**: Per-camera 3D lookup tables for color correction
212
+
213
+ ## Known Limitations
214
+
215
+ - Some sequences have small frame gaps, 1-2 frames in the middle of the video, due to capture dropouts
216
+ - Video encoding at CRF 18 introduces minor compression artifacts
217
+ - Color lut for camera 1000 and camera 1362 are generated by hand with Lightroom to get the visually cloest result. All other cameras were calibrated using a Macbeth chart and OpenCV.
218
+
219
+ ## Authors
220
+
221
+ **NYU Video Lab**
222
+ - Shihang Wei
223
+ - Mingjian Li
224
+ - Ran Gong
225
+
226
+ **NYU Tandon @ The Yard**
227
+ - Reese Anspaugh
228
+ - Moira Zhang
229
+
230
+
231
+ ## License
232
+
233
+ This dataset is owned by New York University (NYU) and released under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC-BY-NC-4.0)](https://creativecommons.org/licenses/by-nc/4.0/) with additional supplementary terms. See the full [LICENSE](LICENSE) file for details.
234
+
235
+
236
+ <!-- ## Citation
237
+
238
+ ```bibtex
239
+
240
+ ``` -->
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