Datasets:

Tasks:
Other
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
License:
dnaveenr commited on
Commit
7330a30
1 Parent(s): 2ba2a79

Add Biwi Kinect Head Pose dataset. (#3903)

Browse files

* Initial draft for Biwi Kinect Head Pose dataset.

* fix typo.

* update dataset features and complete generate_examples.

* add dummy data.

* add dataset_infos.json

* update Dataset Structure section.

* update Readme.

* add data processing section, sample code to read a compressed binary depth image.

* add size category info.

* Update datasets/biwi_kinect_head_pose/biwi_kinect_head_pose.py

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update datasets/biwi_kinect_head_pose/biwi_kinect_head_pose.py

Use os.path.join for consistency.

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update datasets/biwi_kinect_head_pose/biwi_kinect_head_pose.py

Use os.path.join

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update datasets/biwi_kinect_head_pose/biwi_kinect_head_pose.py

Add encoding when we open files.

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update datasets/biwi_kinect_head_pose/biwi_kinect_head_pose.py

Add encoding when we open files.

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* add missing quote.

* collapse C++ code.

* add full name to pretty_name

* new dataset_infos.json file.

* replace tabs with spaces.

* Update datasets/biwi_kinect_head_pose/README.md

Add contributions info.

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

Commit from https://github.com/huggingface/datasets/commit/55e6b308c6b6ee039b33752a1b464fb9f934f1cd

README.md ADDED
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1
+ ---
2
+ annotations_creators:
3
+ - expert-generated
4
+ language_creators:
5
+ - expert-generated
6
+ languages:
7
+ - en
8
+ licenses:
9
+ - other
10
+ multilinguality:
11
+ - monolingual
12
+ pretty_name: Biwi Kinect Head Pose Database
13
+ size_categories:
14
+ - 10K<n<100K
15
+ source_datasets:
16
+ - original
17
+ task_categories:
18
+ - other
19
+ task_ids:
20
+ - other-other-head-pose-estimation
21
+ paperswithcode_id: biwi
22
+ ---
23
+
24
+ # Dataset Card for Biwi Kinect Head Pose Database
25
+
26
+ ## Table of Contents
27
+ - [Dataset Description](#dataset-description)
28
+ - [Dataset Summary](#dataset-summary)
29
+ - [Supported Tasks](#supported-tasks-and-leaderboards)
30
+ - [Languages](#languages)
31
+ - [Dataset Structure](#dataset-structure)
32
+ - [Data Instances](#data-instances)
33
+ - [Data Fields](#data-instances)
34
+ - [Data Splits](#data-instances)
35
+ - [Dataset Creation](#dataset-creation)
36
+ - [Curation Rationale](#curation-rationale)
37
+ - [Source Data](#source-data)
38
+ - [Annotations](#annotations)
39
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
40
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
41
+ - [Social Impact of Dataset](#social-impact-of-dataset)
42
+ - [Discussion of Biases](#discussion-of-biases)
43
+ - [Other Known Limitations](#other-known-limitations)
44
+ - [Additional Information](#additional-information)
45
+ - [Dataset Curators](#dataset-curators)
46
+ - [Licensing Information](#licensing-information)
47
+ - [Citation Information](#citation-information)
48
+
49
+ ## Dataset Description
50
+
51
+ - **Homepage:** [Biwi Kinect Head Pose homepage](https://icu.ee.ethz.ch/research/datsets.html)
52
+ - **Repository:** [Needs More Information]
53
+ - **Paper:** [Biwi Kinect Head Pose paper](https://link.springer.com/article/10.1007/s11263-012-0549-0)
54
+ - **Leaderboard:** [Needs More Information]
55
+ - **Point of Contact:** [Gabriele Fanelli](mailto:gabriele.fanelli@gmail.com)
56
+
57
+ ### Dataset Summary
58
+
59
+ The Biwi Kinect Head Pose Database is acquired with the Microsoft Kinect sensor, a structured IR light device.It contains 15K images of 20 people with 6 females and 14 males where 4 people were recorded twice.
60
+
61
+ For each frame, there is :
62
+ - a depth image,
63
+ - a corresponding rgb image (both 640x480 pixels),
64
+ - annotation
65
+
66
+ The head pose range covers about +-75 degrees yaw and +-60 degrees pitch. The ground truth is the 3D location of the head and its rotation.
67
+
68
+ ### Data Processing
69
+
70
+ Example code for reading a compressed binary depth image file provided by the authors.
71
+
72
+ <details>
73
+ <summary> View C++ Code </summary>
74
+
75
+ ```cpp
76
+ /*
77
+ * Gabriele Fanelli
78
+ *
79
+ * fanelli@vision.ee.ethz.ch
80
+ *
81
+ * BIWI, ETHZ, 2011
82
+ *
83
+ * Part of the Biwi Kinect Head Pose Database
84
+ *
85
+ * Example code for reading a compressed binary depth image file.
86
+ *
87
+ * THE SOFTWARE IS PROVIDED “AS IS” AND THE PROVIDER GIVES NO EXPRESS OR IMPLIED WARRANTIES OF ANY KIND,
88
+ * INCLUDING WITHOUT LIMITATION THE WARRANTIES OF FITNESS FOR ANY PARTICULAR PURPOSE AND NON-INFRINGEMENT.
89
+ * IN NO EVENT SHALL THE PROVIDER BE HELD RESPONSIBLE FOR LOSS OR DAMAGE CAUSED BY THE USE OF THE SOFTWARE.
90
+ *
91
+ *
92
+ */
93
+
94
+ #include <iostream>
95
+ #include <fstream>
96
+ #include <cstdlib>
97
+
98
+ int16_t* loadDepthImageCompressed( const char* fname ){
99
+
100
+ //now read the depth image
101
+ FILE* pFile = fopen(fname, "rb");
102
+ if(!pFile){
103
+ std::cerr << "could not open file " << fname << std::endl;
104
+ return NULL;
105
+ }
106
+
107
+ int im_width = 0;
108
+ int im_height = 0;
109
+ bool success = true;
110
+
111
+ success &= ( fread(&im_width,sizeof(int),1,pFile) == 1 ); // read width of depthmap
112
+ success &= ( fread(&im_height,sizeof(int),1,pFile) == 1 ); // read height of depthmap
113
+
114
+ int16_t* depth_img = new int16_t[im_width*im_height];
115
+
116
+ int numempty;
117
+ int numfull;
118
+ int p = 0;
119
+
120
+ while(p < im_width*im_height ){
121
+
122
+ success &= ( fread( &numempty,sizeof(int),1,pFile) == 1 );
123
+
124
+ for(int i = 0; i < numempty; i++)
125
+ depth_img[ p + i ] = 0;
126
+
127
+ success &= ( fread( &numfull,sizeof(int), 1, pFile) == 1 );
128
+ success &= ( fread( &depth_img[ p + numempty ], sizeof(int16_t), numfull, pFile) == (unsigned int) numfull );
129
+ p += numempty+numfull;
130
+
131
+ }
132
+
133
+ fclose(pFile);
134
+
135
+ if(success)
136
+ return depth_img;
137
+ else{
138
+ delete [] depth_img;
139
+ return NULL;
140
+ }
141
+ }
142
+
143
+ float* read_gt(const char* fname){
144
+
145
+ //try to read in the ground truth from a binary file
146
+ FILE* pFile = fopen(fname, "rb");
147
+ if(!pFile){
148
+ std::cerr << "could not open file " << fname << std::endl;
149
+ return NULL;
150
+ }
151
+
152
+ float* data = new float[6];
153
+
154
+ bool success = true;
155
+ success &= ( fread( &data[0], sizeof(float), 6, pFile) == 6 );
156
+ fclose(pFile);
157
+
158
+ if(success)
159
+ return data;
160
+ else{
161
+ delete [] data;
162
+ return NULL;
163
+ }
164
+
165
+ }
166
+ ```
167
+
168
+ </details>
169
+
170
+
171
+ ### Supported Tasks and Leaderboards
172
+
173
+ Biwi Kinect Head Pose Database supports the following tasks :
174
+ - Head pose estimation
175
+ - Pose estimation
176
+ - Face verification
177
+
178
+ ### Languages
179
+
180
+ [Needs More Information]
181
+
182
+ ## Dataset Structure
183
+
184
+ ### Data Instances
185
+
186
+ A sample from the Biwi Kinect Head Pose dataset is provided below:
187
+
188
+ ```
189
+ {
190
+ 'sequence_number': '12',
191
+ 'subject_id': 'M06',
192
+ 'rgb': [<PIL.PngImagePlugin.PngImageFile image mode=RGB size=640x480 at 0x7F53A6446C10>,.....],
193
+ 'rgb_cal':
194
+ {
195
+ 'intrisic_mat': [[517.679, 0.0, 320.0], [0.0, 517.679, 240.5], [0.0, 0.0, 1.0]],
196
+ 'extrinsic_mat':
197
+ {
198
+ 'rotation': [[0.999947, 0.00432361, 0.00929419], [-0.00446314, 0.999877, 0.0150443], [-0.009228, -0.015085, 0.999844]],
199
+ 'translation': [-24.0198, 5.8896, -13.2308]
200
+ }
201
+ }
202
+ 'depth': ['../hpdb/12/frame_00003_depth.bin', .....],
203
+ 'depth_cal':
204
+ {
205
+ 'intrisic_mat': [[575.816, 0.0, 320.0], [0.0, 575.816, 240.0], [0.0, 0.0, 1.0]],
206
+ 'extrinsic_mat':
207
+ {
208
+ 'rotation': [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]],
209
+ 'translation': [0.0, 0.0, 0.0]
210
+ }
211
+ }
212
+ 'head_pose_gt':
213
+ {
214
+ 'center': [[43.4019, -30.7038, 906.864], [43.0202, -30.8683, 906.94], [43.0255, -30.5611, 906.659], .....],
215
+ 'rotation': [[[0.980639, 0.109899, 0.162077], [-0.11023, 0.993882, -0.00697376], [-0.161851, -0.011027, 0.986754]], ......]
216
+ }
217
+ }
218
+ ```
219
+
220
+ ### Data Fields
221
+
222
+ - `sequence_number` : This refers to the sequence number in the dataset. There are a total of 24 sequences.
223
+ - `subject_id` : This refers to the subjects in the dataset. There are a total of 20 people with 6 females and 14 males where 4 people were recorded twice.
224
+ - `rgb` : List of png frames containing the poses.
225
+ - `rgb_cal`: Contains calibration information for the color camera which includes intrinsic matrix,
226
+ global rotation and translation.
227
+ - `depth` : List of depth frames for the poses.
228
+ - `depth_cal`: Contains calibration information for the depth camera which includes intrinsic matrix, global rotation and translation.
229
+ - `head_pose_gt` : Contains ground truth information, i.e., the location of the center of the head in 3D and the head rotation, encoded as a 3x3 rotation matrix.
230
+
231
+
232
+ ### Data Splits
233
+
234
+ All the data is contained in the training set.
235
+
236
+ ## Dataset Creation
237
+
238
+ ### Curation Rationale
239
+
240
+ [More Information Needed]
241
+
242
+ ### Source Data
243
+
244
+ #### Initial Data Collection and Normalization
245
+
246
+ The Biwi Kinect Head Pose Database is acquired with the Microsoft Kinect sensor, a structured IR light device.
247
+ #### Who are the source language producers?
248
+
249
+ [More Information Needed]
250
+
251
+ ### Annotations
252
+
253
+ #### Annotation process
254
+
255
+ From Dataset's README :
256
+ > The database contains 24 sequences acquired with a Kinect sensor. 20 people (some were recorded twice - 6 women and 14 men) were recorded while turning their heads, sitting in front of the sensor, at roughly one meter of distance.
257
+
258
+ #### Who are the annotators?
259
+
260
+ [More Information Needed]
261
+
262
+ ### Personal and Sensitive Information
263
+
264
+ [More Information Needed]
265
+
266
+ ## Considerations for Using the Data
267
+
268
+ ### Social Impact of Dataset
269
+
270
+ [More Information Needed]
271
+
272
+ ### Discussion of Biases
273
+
274
+ [More Information Needed]
275
+
276
+ ### Other Known Limitations
277
+
278
+ [More Information Needed]
279
+
280
+ ## Additional Information
281
+
282
+ ### Dataset Curators
283
+
284
+ [Needs More Information]
285
+
286
+ ### Licensing Information
287
+
288
+ From Dataset's README :
289
+ > This database is made available for non-commercial use such as university research and education.
290
+
291
+ ### Citation Information
292
+
293
+ ```bibtex
294
+ @article{fanelli_IJCV,
295
+ author = {Fanelli, Gabriele and Dantone, Matthias and Gall, Juergen and Fossati, Andrea and Van Gool, Luc},
296
+ title = {Random Forests for Real Time 3D Face Analysis},
297
+ journal = {Int. J. Comput. Vision},
298
+ year = {2013},
299
+ month = {February},
300
+ volume = {101},
301
+ number = {3},
302
+ pages = {437--458}
303
+ }
304
+ ```
305
+
306
+ ### Contributions
307
+
308
+ Thanks to [@dnaveenr](https://github.com/dnaveenr) for adding this dataset.
biwi_kinect_head_pose.py ADDED
@@ -0,0 +1,215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Copyright 2022 The HuggingFace Datasets Authors and the current dataset script contributor.
2
+ #
3
+ # Licensed under the Apache License, Version 2.0 (the "License");
4
+ # you may not use this file except in compliance with the License.
5
+ # You may obtain a copy of the License at
6
+ #
7
+ # http://www.apache.org/licenses/LICENSE-2.0
8
+ #
9
+ # Unless required by applicable law or agreed to in writing, software
10
+ # distributed under the License is distributed on an "AS IS" BASIS,
11
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12
+ # See the License for the specific language governing permissions and
13
+ # limitations under the License.
14
+
15
+ """Biwi Kinect Head Pose Database."""
16
+
17
+
18
+ import glob
19
+ import os
20
+
21
+ import datasets
22
+
23
+
24
+ _CITATION = """\
25
+ @article{fanelli_IJCV,
26
+ author = {Fanelli, Gabriele and Dantone, Matthias and Gall, Juergen and Fossati, Andrea and Van Gool, Luc},
27
+ title = {Random Forests for Real Time 3D Face Analysis},
28
+ journal = {Int. J. Comput. Vision},
29
+ year = {2013},
30
+ month = {February},
31
+ volume = {101},
32
+ number = {3},
33
+ pages = {437--458}
34
+ }
35
+ """
36
+
37
+
38
+ _DESCRIPTION = """\
39
+ The Biwi Kinect Head Pose Database is acquired with the Microsoft Kinect sensor, a structured IR light device.It contains 15K images of 20 people with 6 females and 14 males where 4 people were recorded twice.
40
+ """
41
+
42
+
43
+ _HOMEPAGE = "https://icu.ee.ethz.ch/research/datsets.html"
44
+
45
+
46
+ _LICENSE = "This database is made available for non-commercial use such as university research and education."
47
+
48
+
49
+ _URLS = {
50
+ "kinect_head_pose_db": "https://data.vision.ee.ethz.ch/cvl/gfanelli/kinect_head_pose_db.tgz",
51
+ }
52
+
53
+ _sequence_to_subject_map = {
54
+ "01": "F01",
55
+ "02": "F02",
56
+ "03": "F03",
57
+ "04": "F04",
58
+ "05": "F05",
59
+ "06": "F06",
60
+ "07": "M01",
61
+ "08": "M02",
62
+ "09": "M03",
63
+ "10": "M04",
64
+ "11": "M05",
65
+ "12": "M06",
66
+ "13": "M07",
67
+ "14": "M08",
68
+ "15": "F03",
69
+ "16": "M09",
70
+ "17": "M10",
71
+ "18": "F05",
72
+ "19": "M11",
73
+ "20": "M12",
74
+ "21": "F02",
75
+ "22": "M01",
76
+ "23": "M13",
77
+ "24": "M14",
78
+ }
79
+
80
+
81
+ class BiwiKinectHeadPose(datasets.GeneratorBasedBuilder):
82
+
83
+ VERSION = datasets.Version("1.0.0")
84
+
85
+ def _info(self):
86
+ return datasets.DatasetInfo(
87
+ description=_DESCRIPTION,
88
+ features=datasets.Features(
89
+ {
90
+ "sequence_number": datasets.Value("string"),
91
+ "subject_id": datasets.Value("string"),
92
+ "rgb": datasets.Sequence(datasets.Image()),
93
+ "rgb_cal": {
94
+ "intrisic_mat": datasets.Array2D(shape=(3, 3), dtype="float64"),
95
+ "extrinsic_mat": {
96
+ "rotation": datasets.Array2D(shape=(3, 3), dtype="float64"),
97
+ "translation": datasets.Sequence(datasets.Value("float64"), length=3),
98
+ },
99
+ },
100
+ "depth": datasets.Sequence(datasets.Value("string")),
101
+ "depth_cal": {
102
+ "intrisic_mat": datasets.Array2D(shape=(3, 3), dtype="float64"),
103
+ "extrinsic_mat": {
104
+ "rotation": datasets.Array2D(shape=(3, 3), dtype="float64"),
105
+ "translation": datasets.Sequence(datasets.Value("float64"), length=3),
106
+ },
107
+ },
108
+ "head_pose_gt": datasets.Sequence(
109
+ {
110
+ "center": datasets.Sequence(datasets.Value("float64"), length=3),
111
+ "rotation": datasets.Array2D(shape=(3, 3), dtype="float64"),
112
+ }
113
+ ),
114
+ "head_template": datasets.Value("string"),
115
+ }
116
+ ),
117
+ homepage=_HOMEPAGE,
118
+ license=_LICENSE,
119
+ citation=_CITATION,
120
+ )
121
+
122
+ def _split_generators(self, dl_manager):
123
+
124
+ data_dir = dl_manager.download_and_extract(_URLS)
125
+ return [
126
+ datasets.SplitGenerator(
127
+ name=datasets.Split.TRAIN,
128
+ gen_kwargs={
129
+ "dataset_path": os.path.join(data_dir["kinect_head_pose_db"], "hpdb"),
130
+ },
131
+ ),
132
+ ]
133
+
134
+ @staticmethod
135
+ def _get_calibration_information(cal_file_path):
136
+ with open(cal_file_path, "r", encoding="utf-8") as f:
137
+ cal_info = f.read().splitlines()
138
+
139
+ intrisic_mat = []
140
+ extrinsic_mat = []
141
+
142
+ for data in cal_info[:3]:
143
+ row = list(map(float, data.strip().split(" ")))
144
+ intrisic_mat.append(row)
145
+
146
+ for data in cal_info[6:9]:
147
+ row = list(map(float, data.strip().split(" ")))
148
+ extrinsic_mat.append(row)
149
+
150
+ translation = list(map(float, cal_info[10].strip().split(" ")))
151
+
152
+ return {
153
+ "intrisic_mat": intrisic_mat,
154
+ "extrinsic_mat": {
155
+ "rotation": extrinsic_mat,
156
+ "translation": translation,
157
+ },
158
+ }
159
+
160
+ @staticmethod
161
+ def _parse_head_pose_info(head_pose_file):
162
+ with open(head_pose_file, "r", encoding="utf-8") as f:
163
+ head_pose_info = f.read().splitlines()
164
+
165
+ rotation = []
166
+ for data in head_pose_info[:3]:
167
+ row = list(map(float, data.strip().split(" ")))
168
+ rotation.append(row)
169
+
170
+ center = list(map(float, head_pose_info[4].strip().split(" ")))
171
+
172
+ return {
173
+ "center": center,
174
+ "rotation": rotation,
175
+ }
176
+
177
+ @staticmethod
178
+ def _get_head_pose_information(path):
179
+ head_pose_files = sorted(glob.glob(os.path.join(path, "*_pose.txt")))
180
+
181
+ head_poses_info = []
182
+
183
+ for head_pose_file in head_pose_files:
184
+ head_pose = BiwiKinectHeadPose._parse_head_pose_info(head_pose_file)
185
+ head_poses_info.append(head_pose)
186
+
187
+ return head_poses_info
188
+
189
+ def _generate_examples(self, dataset_path):
190
+
191
+ idx = 0
192
+ folders = os.listdir(dataset_path)
193
+ for item in folders:
194
+ sequence_number = item
195
+ sequence_base_path = os.path.join(dataset_path, sequence_number)
196
+ if os.path.isdir(sequence_base_path):
197
+ rgb_files = sorted(glob.glob(os.path.join(sequence_base_path, "*.png")))
198
+ depth_files = sorted(glob.glob(os.path.join(sequence_base_path, "*.bin")))
199
+ head_template_path = os.path.join(dataset_path, sequence_number + ".obj")
200
+ rgb_cal = self._get_calibration_information(os.path.join(sequence_base_path, "rgb.cal"))
201
+ depth_cal = self._get_calibration_information(os.path.join(sequence_base_path, "depth.cal"))
202
+ head_pose_gt = self._get_head_pose_information(sequence_base_path)
203
+
204
+ yield idx, {
205
+ "sequence_number": sequence_number,
206
+ "subject_id": _sequence_to_subject_map[sequence_number],
207
+ "rgb": rgb_files,
208
+ "rgb_cal": rgb_cal,
209
+ "depth": depth_files,
210
+ "depth_cal": depth_cal,
211
+ "head_pose_gt": head_pose_gt,
212
+ "head_template": head_template_path,
213
+ }
214
+
215
+ idx += 1
dataset_infos.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"default": {"description": "The Biwi Kinect Head Pose Database is acquired with the Microsoft Kinect sensor, a structured IR light device.It contains 15K images of 20 people with 6 females and 14 males where 4 people were recorded twice.\n", "citation": "@article{fanelli_IJCV,\n author = {Fanelli, Gabriele and Dantone, Matthias and Gall, Juergen and Fossati, Andrea and Van Gool, Luc},\n title = {Random Forests for Real Time 3D Face Analysis},\n journal = {Int. J. Comput. Vision},\n year = {2013},\n month = {February},\n volume = {101},\n number = {3},\n pages = {437--458}\n}\n", "homepage": "https://icu.ee.ethz.ch/research/datsets.html", "license": "This database is made available for non-commercial use such as university research and education.", "features": {"sequence_number": {"dtype": "string", "id": null, "_type": "Value"}, "subject_id": {"dtype": "string", "id": null, "_type": "Value"}, "rgb": {"feature": {"decode": true, "id": null, "_type": "Image"}, "length": -1, "id": null, "_type": "Sequence"}, "rgb_cal": {"intrisic_mat": {"shape": [3, 3], "dtype": "float64", "id": null, "_type": "Array2D"}, "extrinsic_mat": {"rotation": {"shape": [3, 3], "dtype": "float64", "id": null, "_type": "Array2D"}, "translation": {"feature": {"dtype": "float64", "id": null, "_type": "Value"}, "length": 3, "id": null, "_type": "Sequence"}}}, "depth": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "depth_cal": {"intrisic_mat": {"shape": [3, 3], "dtype": "float64", "id": null, "_type": "Array2D"}, "extrinsic_mat": {"rotation": {"shape": [3, 3], "dtype": "float64", "id": null, "_type": "Array2D"}, "translation": {"feature": {"dtype": "float64", "id": null, "_type": "Value"}, "length": 3, "id": null, "_type": "Sequence"}}}, "head_pose_gt": {"feature": {"center": {"feature": {"dtype": "float64", "id": null, "_type": "Value"}, "length": 3, "id": null, "_type": "Sequence"}, "rotation": {"shape": [3, 3], "dtype": "float64", "id": null, "_type": "Array2D"}}, "length": -1, "id": null, "_type": "Sequence"}, "head_template": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "biwi_kinect_head_pose", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 6914063, "num_examples": 24, "dataset_name": "biwi_kinect_head_pose"}}, "download_checksums": {"https://data.vision.ee.ethz.ch/cvl/gfanelli/kinect_head_pose_db.tgz": {"num_bytes": 6014398431, "checksum": "d8fc0fee11b6b865b18b292de7c21dd2181492bd770c4fe13821e8dc630f5549"}}, "download_size": 6014398431, "post_processing_size": null, "dataset_size": 6914063, "size_in_bytes": 6021312494}}
dummy/1.0.0/dummy_data.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:58468f9f93a1fd98c8f2e1f702d717bfbbbf968f8d8f78744ec1330abd8a8459
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+ size 829287