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add annotations

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  1. .gitattributes +2 -0
  2. data/annotations/AVA-Kinetics/ava_kinetics_v1_0/README.txt +62 -0
  3. data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_action_list_v2.2.pbtxt +400 -0
  4. data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_action_list_v2.2_for_activitynet.pbtxt +240 -0
  5. data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_test_v2.2.csv +3 -0
  6. data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_train_v2.2.csv +3 -0
  7. data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_val_v2.2.csv +3 -0
  8. data/annotations/AVA-Kinetics/ava_kinetics_v1_0/kinetics_test_v1.0.csv +3 -0
  9. data/annotations/AVA-Kinetics/ava_kinetics_v1_0/kinetics_train_v1.0.csv +3 -0
  10. data/annotations/AVA-Kinetics/ava_kinetics_v1_0/kinetics_val_v1.0.csv +3 -0
  11. data/annotations/AVA-Kinetics/countix/README +15 -0
  12. data/annotations/AVA-Kinetics/countix/countix_test.csv +3 -0
  13. data/annotations/AVA-Kinetics/countix/countix_train.csv +3 -0
  14. data/annotations/AVA-Kinetics/countix/countix_val.csv +3 -0
  15. data/annotations/deepmind/kinetics700_2020/test.csv +3 -0
  16. data/annotations/deepmind/kinetics700_2020/test.json +3 -0
  17. data/annotations/deepmind/kinetics700_2020/train.csv +3 -0
  18. data/annotations/deepmind/kinetics700_2020/train.json +3 -0
  19. data/annotations/deepmind/kinetics700_2020/validate.csv +3 -0
  20. data/annotations/deepmind/kinetics700_2020/validate.json +3 -0
  21. data/annotations/deepmind_top-up/kinetics700_2020_delta/test.csv +3 -0
  22. data/annotations/deepmind_top-up/kinetics700_2020_delta/test.json +3 -0
  23. data/annotations/deepmind_top-up/kinetics700_2020_delta/train.csv +3 -0
  24. data/annotations/deepmind_top-up/kinetics700_2020_delta/train.json +3 -0
  25. data/annotations/deepmind_top-up/kinetics700_2020_delta/validate.csv +3 -0
  26. data/annotations/deepmind_top-up/kinetics700_2020_delta/validate.json +3 -0
  27. data/annotations/test.csv +3 -0
  28. data/annotations/train.csv +3 -0
  29. data/annotations/val.csv +3 -0
.gitattributes CHANGED
@@ -35,3 +35,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.mp3 filter=lfs diff=lfs merge=lfs -text
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  *.ogg filter=lfs diff=lfs merge=lfs -text
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  *.wav filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.mp3 filter=lfs diff=lfs merge=lfs -text
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  *.ogg filter=lfs diff=lfs merge=lfs -text
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  *.wav filter=lfs diff=lfs merge=lfs -text
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+ *.json filter=lfs diff=lfs merge=lfs -text
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+ *.csv filter=lfs diff=lfs merge=lfs -text
data/annotations/AVA-Kinetics/ava_kinetics_v1_0/README.txt ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ This is the v1.0 release of the AVA-Kinetics action localization dataset.
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+
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+ It consists of the AVA Atomic Visual Actions dataset (version 2.2) combined with
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+ frames from the Kinetics-700 dataset, annotated with person bounding boxes as
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+ well as the localized actions from the AVA vocabulary.
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+
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+ ===
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+
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+ DATA FORMAT:
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+
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+ Each row of a CSV file contains an annotation for one person performing an
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+ action in an interval, where that annotation is associated with the middle
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+ keyframe. Different persons and multiple action labels are described in separate
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+ rows.
15
+
16
+ The format of a row is the following: video_id, middle_frame_timestamp,
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+ person_box, action_id, person_id
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+
19
+ video_id: YouTube identifier
20
+ keyframe_timestamp: in seconds from the start of the YouTube video
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+ person_box: top-left (x1, y1) and bottom-right (x2,y2) normalized with respect
22
+ to frame size, where (0.0, 0.0) corresponds to the top left, and (1.0, 1.0)
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+ corresponds to the bottom right.
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+ action_id: identifier of an action class, see ava_action_list_v2.2.pbtxt
25
+ person_id: a unique integer allowing this box to be linked to other boxes
26
+ depicting the same person in adjacent frames of this video. The person id is
27
+ optional--included in the AVA data but not in the Kinetics data.
28
+
29
+ In the training and validation files, rows containing only a
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+ video_id,keyframe_timestamp (i.e. no box or action label) are included to
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+ indicate an empty frame where no action was identified by labelers.
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+
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+ In the test files, boxes and action labels are omitted entirely, rather the
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+ video_id,keyframe_timestamp pairs indicate the video frames upon which a
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+ submission will be tested.
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+
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+ The full action label vocabulary is provided in
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+ ava_action_list_v2.2_for_activitynet.pbtxt.
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+
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+ For the ActivityNet challenge, and in many papers, results are reported on only
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+ a subset of 60 actions listed in ava_action_list_v2.2_for_activitynet.pbtxt.
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+
43
+ ===
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+
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+ EVALUATION:
46
+
47
+ Evaluation code used for the ActivityNet Challenge may be found at https://github.com/activitynet/ActivityNet/blob/master/Evaluation/get_ava_performance.py
48
+
49
+ The ground truth labels on the test set have not been released to the public. To evaluate on the test set, a submission must be made to the ActivityNet Evaluation Server, http://activity-net.org/challenges/2020/evaluation.html
50
+
51
+ ===
52
+
53
+ For more about AVA-Kinetics or AVA, please visit
54
+ https://research.google.com/ava/.
55
+
56
+ For more about Kinetics, please visit
57
+ https://deepmind.com/research/open-source/kinetics.
58
+
59
+ Please send any questions to the Google Group ava-dataset-users:
60
+ https://groups.google.com/forum/#!forum/ava-dataset-users
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+
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+
data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_action_list_v2.2.pbtxt ADDED
@@ -0,0 +1,400 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ label {
2
+ name: "bend/bow (at the waist)"
3
+ label_id: 1
4
+ label_type: PERSON_MOVEMENT
5
+ }
6
+ label {
7
+ name: "crawl"
8
+ label_id: 2
9
+ label_type: PERSON_MOVEMENT
10
+ }
11
+ label {
12
+ name: "crouch/kneel"
13
+ label_id: 3
14
+ label_type: PERSON_MOVEMENT
15
+ }
16
+ label {
17
+ name: "dance"
18
+ label_id: 4
19
+ label_type: PERSON_MOVEMENT
20
+ }
21
+ label {
22
+ name: "fall down"
23
+ label_id: 5
24
+ label_type: PERSON_MOVEMENT
25
+ }
26
+ label {
27
+ name: "get up"
28
+ label_id: 6
29
+ label_type: PERSON_MOVEMENT
30
+ }
31
+ label {
32
+ name: "jump/leap"
33
+ label_id: 7
34
+ label_type: PERSON_MOVEMENT
35
+ }
36
+ label {
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+ name: "lie/sleep"
38
+ label_id: 8
39
+ label_type: PERSON_MOVEMENT
40
+ }
41
+ label {
42
+ name: "martial art"
43
+ label_id: 9
44
+ label_type: PERSON_MOVEMENT
45
+ }
46
+ label {
47
+ name: "run/jog"
48
+ label_id: 10
49
+ label_type: PERSON_MOVEMENT
50
+ }
51
+ label {
52
+ name: "sit"
53
+ label_id: 11
54
+ label_type: PERSON_MOVEMENT
55
+ }
56
+ label {
57
+ name: "stand"
58
+ label_id: 12
59
+ label_type: PERSON_MOVEMENT
60
+ }
61
+ label {
62
+ name: "swim"
63
+ label_id: 13
64
+ label_type: PERSON_MOVEMENT
65
+ }
66
+ label {
67
+ name: "walk"
68
+ label_id: 14
69
+ label_type: PERSON_MOVEMENT
70
+ }
71
+ label {
72
+ name: "answer phone"
73
+ label_id: 15
74
+ label_type: OBJECT_MANIPULATION
75
+ }
76
+ label {
77
+ name: "brush teeth"
78
+ label_id: 16
79
+ label_type: OBJECT_MANIPULATION
80
+ }
81
+ label {
82
+ name: "carry/hold (an object)"
83
+ label_id: 17
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+ label_type: OBJECT_MANIPULATION
85
+ }
86
+ label {
87
+ name: "catch (an object)"
88
+ label_id: 18
89
+ label_type: OBJECT_MANIPULATION
90
+ }
91
+ label {
92
+ name: "chop"
93
+ label_id: 19
94
+ label_type: OBJECT_MANIPULATION
95
+ }
96
+ label {
97
+ name: "climb (e.g., a mountain)"
98
+ label_id: 20
99
+ label_type: OBJECT_MANIPULATION
100
+ }
101
+ label {
102
+ name: "clink glass"
103
+ label_id: 21
104
+ label_type: OBJECT_MANIPULATION
105
+ }
106
+ label {
107
+ name: "close (e.g., a door, a box)"
108
+ label_id: 22
109
+ label_type: OBJECT_MANIPULATION
110
+ }
111
+ label {
112
+ name: "cook"
113
+ label_id: 23
114
+ label_type: OBJECT_MANIPULATION
115
+ }
116
+ label {
117
+ name: "cut"
118
+ label_id: 24
119
+ label_type: OBJECT_MANIPULATION
120
+ }
121
+ label {
122
+ name: "dig"
123
+ label_id: 25
124
+ label_type: OBJECT_MANIPULATION
125
+ }
126
+ label {
127
+ name: "dress/put on clothing"
128
+ label_id: 26
129
+ label_type: OBJECT_MANIPULATION
130
+ }
131
+ label {
132
+ name: "drink"
133
+ label_id: 27
134
+ label_type: OBJECT_MANIPULATION
135
+ }
136
+ label {
137
+ name: "drive (e.g., a car, a truck)"
138
+ label_id: 28
139
+ label_type: OBJECT_MANIPULATION
140
+ }
141
+ label {
142
+ name: "eat"
143
+ label_id: 29
144
+ label_type: OBJECT_MANIPULATION
145
+ }
146
+ label {
147
+ name: "enter"
148
+ label_id: 30
149
+ label_type: OBJECT_MANIPULATION
150
+ }
151
+ label {
152
+ name: "exit"
153
+ label_id: 31
154
+ label_type: OBJECT_MANIPULATION
155
+ }
156
+ label {
157
+ name: "extract"
158
+ label_id: 32
159
+ label_type: OBJECT_MANIPULATION
160
+ }
161
+ label {
162
+ name: "fishing"
163
+ label_id: 33
164
+ label_type: OBJECT_MANIPULATION
165
+ }
166
+ label {
167
+ name: "hit (an object)"
168
+ label_id: 34
169
+ label_type: OBJECT_MANIPULATION
170
+ }
171
+ label {
172
+ name: "kick (an object)"
173
+ label_id: 35
174
+ label_type: OBJECT_MANIPULATION
175
+ }
176
+ label {
177
+ name: "lift/pick up"
178
+ label_id: 36
179
+ label_type: OBJECT_MANIPULATION
180
+ }
181
+ label {
182
+ name: "listen (e.g., to music)"
183
+ label_id: 37
184
+ label_type: OBJECT_MANIPULATION
185
+ }
186
+ label {
187
+ name: "open (e.g., a window, a car door)"
188
+ label_id: 38
189
+ label_type: OBJECT_MANIPULATION
190
+ }
191
+ label {
192
+ name: "paint"
193
+ label_id: 39
194
+ label_type: OBJECT_MANIPULATION
195
+ }
196
+ label {
197
+ name: "play board game"
198
+ label_id: 40
199
+ label_type: OBJECT_MANIPULATION
200
+ }
201
+ label {
202
+ name: "play musical instrument"
203
+ label_id: 41
204
+ label_type: OBJECT_MANIPULATION
205
+ }
206
+ label {
207
+ name: "play with pets"
208
+ label_id: 42
209
+ label_type: OBJECT_MANIPULATION
210
+ }
211
+ label {
212
+ name: "point to (an object)"
213
+ label_id: 43
214
+ label_type: OBJECT_MANIPULATION
215
+ }
216
+ label {
217
+ name: "press"
218
+ label_id: 44
219
+ label_type: OBJECT_MANIPULATION
220
+ }
221
+ label {
222
+ name: "pull (an object)"
223
+ label_id: 45
224
+ label_type: OBJECT_MANIPULATION
225
+ }
226
+ label {
227
+ name: "push (an object)"
228
+ label_id: 46
229
+ label_type: OBJECT_MANIPULATION
230
+ }
231
+ label {
232
+ name: "put down"
233
+ label_id: 47
234
+ label_type: OBJECT_MANIPULATION
235
+ }
236
+ label {
237
+ name: "read"
238
+ label_id: 48
239
+ label_type: OBJECT_MANIPULATION
240
+ }
241
+ label {
242
+ name: "ride (e.g., a bike, a car, a horse)"
243
+ label_id: 49
244
+ label_type: OBJECT_MANIPULATION
245
+ }
246
+ label {
247
+ name: "row boat"
248
+ label_id: 50
249
+ label_type: OBJECT_MANIPULATION
250
+ }
251
+ label {
252
+ name: "sail boat"
253
+ label_id: 51
254
+ label_type: OBJECT_MANIPULATION
255
+ }
256
+ label {
257
+ name: "shoot"
258
+ label_id: 52
259
+ label_type: OBJECT_MANIPULATION
260
+ }
261
+ label {
262
+ name: "shovel"
263
+ label_id: 53
264
+ label_type: OBJECT_MANIPULATION
265
+ }
266
+ label {
267
+ name: "smoke"
268
+ label_id: 54
269
+ label_type: OBJECT_MANIPULATION
270
+ }
271
+ label {
272
+ name: "stir"
273
+ label_id: 55
274
+ label_type: OBJECT_MANIPULATION
275
+ }
276
+ label {
277
+ name: "take a photo"
278
+ label_id: 56
279
+ label_type: OBJECT_MANIPULATION
280
+ }
281
+ label {
282
+ name: "text on/look at a cellphone"
283
+ label_id: 57
284
+ label_type: OBJECT_MANIPULATION
285
+ }
286
+ label {
287
+ name: "throw"
288
+ label_id: 58
289
+ label_type: OBJECT_MANIPULATION
290
+ }
291
+ label {
292
+ name: "touch (an object)"
293
+ label_id: 59
294
+ label_type: OBJECT_MANIPULATION
295
+ }
296
+ label {
297
+ name: "turn (e.g., a screwdriver)"
298
+ label_id: 60
299
+ label_type: OBJECT_MANIPULATION
300
+ }
301
+ label {
302
+ name: "watch (e.g., TV)"
303
+ label_id: 61
304
+ label_type: OBJECT_MANIPULATION
305
+ }
306
+ label {
307
+ name: "work on a computer"
308
+ label_id: 62
309
+ label_type: OBJECT_MANIPULATION
310
+ }
311
+ label {
312
+ name: "write"
313
+ label_id: 63
314
+ label_type: OBJECT_MANIPULATION
315
+ }
316
+ label {
317
+ name: "fight/hit (a person)"
318
+ label_id: 64
319
+ label_type: PERSON_INTERACTION
320
+ }
321
+ label {
322
+ name: "give/serve (an object) to (a person)"
323
+ label_id: 65
324
+ label_type: PERSON_INTERACTION
325
+ }
326
+ label {
327
+ name: "grab (a person)"
328
+ label_id: 66
329
+ label_type: PERSON_INTERACTION
330
+ }
331
+ label {
332
+ name: "hand clap"
333
+ label_id: 67
334
+ label_type: PERSON_INTERACTION
335
+ }
336
+ label {
337
+ name: "hand shake"
338
+ label_id: 68
339
+ label_type: PERSON_INTERACTION
340
+ }
341
+ label {
342
+ name: "hand wave"
343
+ label_id: 69
344
+ label_type: PERSON_INTERACTION
345
+ }
346
+ label {
347
+ name: "hug (a person)"
348
+ label_id: 70
349
+ label_type: PERSON_INTERACTION
350
+ }
351
+ label {
352
+ name: "kick (a person)"
353
+ label_id: 71
354
+ label_type: PERSON_INTERACTION
355
+ }
356
+ label {
357
+ name: "kiss (a person)"
358
+ label_id: 72
359
+ label_type: PERSON_INTERACTION
360
+ }
361
+ label {
362
+ name: "lift (a person)"
363
+ label_id: 73
364
+ label_type: PERSON_INTERACTION
365
+ }
366
+ label {
367
+ name: "listen to (a person)"
368
+ label_id: 74
369
+ label_type: PERSON_INTERACTION
370
+ }
371
+ label {
372
+ name: "play with kids"
373
+ label_id: 75
374
+ label_type: PERSON_INTERACTION
375
+ }
376
+ label {
377
+ name: "push (another person)"
378
+ label_id: 76
379
+ label_type: PERSON_INTERACTION
380
+ }
381
+ label {
382
+ name: "sing to (e.g., self, a person, a group)"
383
+ label_id: 77
384
+ label_type: PERSON_INTERACTION
385
+ }
386
+ label {
387
+ name: "take (an object) from (a person)"
388
+ label_id: 78
389
+ label_type: PERSON_INTERACTION
390
+ }
391
+ label {
392
+ name: "talk to (e.g., self, a person, a group)"
393
+ label_id: 79
394
+ label_type: PERSON_INTERACTION
395
+ }
396
+ label {
397
+ name: "watch (a person)"
398
+ label_id: 80
399
+ label_type: PERSON_INTERACTION
400
+ }
data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_action_list_v2.2_for_activitynet.pbtxt ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ item {
2
+ name: "bend/bow (at the waist)"
3
+ id: 1
4
+ }
5
+ item {
6
+ name: "crouch/kneel"
7
+ id: 3
8
+ }
9
+ item {
10
+ name: "dance"
11
+ id: 4
12
+ }
13
+ item {
14
+ name: "fall down"
15
+ id: 5
16
+ }
17
+ item {
18
+ name: "get up"
19
+ id: 6
20
+ }
21
+ item {
22
+ name: "jump/leap"
23
+ id: 7
24
+ }
25
+ item {
26
+ name: "lie/sleep"
27
+ id: 8
28
+ }
29
+ item {
30
+ name: "martial art"
31
+ id: 9
32
+ }
33
+ item {
34
+ name: "run/jog"
35
+ id: 10
36
+ }
37
+ item {
38
+ name: "sit"
39
+ id: 11
40
+ }
41
+ item {
42
+ name: "stand"
43
+ id: 12
44
+ }
45
+ item {
46
+ name: "swim"
47
+ id: 13
48
+ }
49
+ item {
50
+ name: "walk"
51
+ id: 14
52
+ }
53
+ item {
54
+ name: "answer phone"
55
+ id: 15
56
+ }
57
+ item {
58
+ name: "carry/hold (an object)"
59
+ id: 17
60
+ }
61
+ item {
62
+ name: "climb (e.g., a mountain)"
63
+ id: 20
64
+ }
65
+ item {
66
+ name: "close (e.g., a door, a box)"
67
+ id: 22
68
+ }
69
+ item {
70
+ name: "cut"
71
+ id: 24
72
+ }
73
+ item {
74
+ name: "dress/put on clothing"
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