Hugging Face's logo

Datasets:
MCG-NJU
/
SportsMOT

Tasks:
Object Detection
Other
Modalities:
Text
Video
Formats:
text
Languages:
English
Size:
< 1K
ArXiv:
Tags:
video
multi-object tracking
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
Community
1
EthanolY commited on
Commit
5490151
·
verified ·
1 Parent(s): 1ede4d0

Upload 8 files

Browse files
Files changed (8) hide show
  1. scripts/mot_to_coco.py +160 -0
  2. scripts/sportsmot_to_trackeval.py +50 -0
  3. splits_txt/basketball.txt +80 -0
  4. splits_txt/football.txt +80 -0
  5. splits_txt/test.txt +150 -0
  6. splits_txt/train.txt +45 -0
  7. splits_txt/val.txt +45 -0
  8. splits_txt/volleyball.txt +80 -0
scripts/mot_to_coco.py ADDED
@@ -0,0 +1,160 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """
2
+ https://github.com/xingyizhou/CenterTrack
3
+ Modified by Xiaoyu Zhao
4
+
5
+ https://github.com/xingyizhou/CenterTrack/blob/master/src/tools/convert_mot_to_coco.py
6
+
7
+ There are extra many convert_X_to_coco.py
8
+
9
+ https://cocodataset.org/#format-data
10
+ """
11
+ import os
12
+ import numpy as np
13
+ import json
14
+ import cv2
15
+ from tqdm import tqdm
16
+
17
+ DATA_PATH = "PATH/TO/sportsmot"
18
+ OUT_PATH = os.path.join(DATA_PATH, "annotations")
19
+ os.makedirs(OUT_PATH)
20
+ SPLITS = ["train", "val", "test"]
21
+ HALF_VIDEO = False
22
+ CREATE_SPLITTED_ANN = True
23
+ USE_DET = False
24
+ CREATE_SPLITTED_DET = False
25
+
26
+ for split in SPLITS:
27
+ data_path = os.path.join(DATA_PATH, split)
28
+ out_path = os.path.join(OUT_PATH, "{}.json".format(split))
29
+ out = {
30
+ "images": [],
31
+ "annotations": [],
32
+ "videos": [],
33
+ "categories": [{
34
+ "id": 1,
35
+ "name": "pedestrian"
36
+ }]
37
+ }
38
+ video_list = os.listdir(data_path)
39
+ image_cnt = 0
40
+ ann_cnt = 0
41
+ video_cnt = 0
42
+ for seq in tqdm(sorted(video_list)):
43
+ if ".DS_Store" in seq:
44
+ continue
45
+ video_cnt += 1 # video sequence number.
46
+ out["videos"].append({"id": video_cnt, "file_name": seq})
47
+ seq_path = os.path.join(data_path, seq)
48
+ img_path = os.path.join(seq_path, "img1")
49
+ ann_path = os.path.join(seq_path, "gt/gt.txt")
50
+ images = os.listdir(img_path)
51
+ num_images = len([image for image in images
52
+ if "jpg" in image]) # half and half
53
+
54
+ if HALF_VIDEO and ("half" in split):
55
+ image_range = [0, num_images // 2] if "train" in split else \
56
+ [num_images // 2 + 1, num_images - 1]
57
+ else:
58
+ image_range = [0, num_images - 1]
59
+
60
+ for i in range(num_images):
61
+ if i < image_range[0] or i > image_range[1]:
62
+ continue
63
+ img = cv2.imread(
64
+ os.path.join(data_path,
65
+ "{}/img1/{:06d}.jpg".format(seq, i + 1)))
66
+ height, width = img.shape[:2]
67
+ image_info = {
68
+ "file_name": "{}/img1/{:06d}.jpg".format(seq,
69
+ i + 1), # image name.
70
+ "id":
71
+ image_cnt + i + 1, # image number in the entire training set.
72
+ "frame_id": i + 1 - image_range[
73
+ 0], # image number in the video sequence, starting from 1.
74
+ "prev_image_id": image_cnt +
75
+ i if i > 0 else -1, # image number in the entire training set.
76
+ "next_image_id":
77
+ image_cnt + i + 2 if i < num_images - 1 else -1,
78
+ "video_id": video_cnt,
79
+ "height": height,
80
+ "width": width
81
+ }
82
+ out["images"].append(image_info)
83
+ print("{}: {} images".format(seq, num_images))
84
+ if split != "test":
85
+ det_path = os.path.join(seq_path, "det/det.txt")
86
+ anns = np.loadtxt(ann_path, dtype=np.float32, delimiter=",")
87
+ if USE_DET:
88
+ dets = np.loadtxt(det_path, dtype=np.float32, delimiter=",")
89
+ if CREATE_SPLITTED_ANN and ("half" in split):
90
+ anns_out = np.array([
91
+ anns[i] for i in range(anns.shape[0])
92
+ if int(anns[i][0]) - 1 >= image_range[0]
93
+ and int(anns[i][0]) - 1 <= image_range[1]
94
+ ], np.float32)
95
+ anns_out[:, 0] -= image_range[0]
96
+ gt_out = os.path.join(seq_path, "gt/gt_{}.txt".format(split))
97
+ fout = open(gt_out, "w")
98
+ for o in anns_out:
99
+ fout.write(
100
+ "{:d},{:d},{:d},{:d},{:d},{:d},{:d},{:d},{:.6f}\n".
101
+ format(int(o[0]), int(o[1]), int(o[2]), int(o[3]),
102
+ int(o[4]), int(o[5]), int(o[6]), int(o[7]),
103
+ o[8]))
104
+ fout.close()
105
+ if CREATE_SPLITTED_DET and ("half" in split) and USE_DET:
106
+ dets_out = np.array([
107
+ dets[i] for i in range(dets.shape[0])
108
+ if int(dets[i][0]) - 1 >= image_range[0]
109
+ and int(dets[i][0]) - 1 <= image_range[1]
110
+ ], np.float32)
111
+ dets_out[:, 0] -= image_range[0]
112
+ det_out = os.path.join(seq_path,
113
+ "det/det_{}.txt".format(split))
114
+ dout = open(det_out, "w")
115
+ for o in dets_out:
116
+ dout.write(
117
+ "{:d},{:d},{:.1f},{:.1f},{:.1f},{:.1f},{:.6f}\n".
118
+ format(int(o[0]), int(o[1]), float(o[2]), float(o[3]),
119
+ float(o[4]), float(o[5]), float(o[6])))
120
+ dout.close()
121
+
122
+ print("{} ann images".format(int(anns[:, 0].max())))
123
+ for i in range(anns.shape[0]):
124
+ frame_id = int(anns[i][0])
125
+ if frame_id - 1 < image_range[0] or frame_id - 1 > image_range[
126
+ 1]:
127
+ continue
128
+ track_id = int(anns[i][1])
129
+ cat_id = int(anns[i][7])
130
+ ann_cnt += 1
131
+ if not ("15" in DATA_PATH):
132
+ if not (float(anns[i][8]) >= 0.25): # visibility.
133
+ continue
134
+ if not (int(anns[i][6]) == 1): # whether ignore.
135
+ continue
136
+ if int(anns[i][7]) in [3, 4, 5, 6, 9, 10,
137
+ 11]: # Non-person
138
+ continue
139
+ if int(anns[i][7]) in [2, 7, 8, 12]: # Ignored person
140
+ category_id = -1
141
+ else:
142
+ category_id = 1 # pedestrian(non-static)
143
+ else:
144
+ category_id = 1
145
+ ann = {
146
+ "id": ann_cnt,
147
+ "category_id": category_id,
148
+ "image_id": image_cnt + frame_id,
149
+ "track_id": track_id,
150
+ "bbox": anns[i][2:6].tolist(),
151
+ "conf": float(anns[i][6]),
152
+ "iscrowd": 0,
153
+ "area": float(anns[i][4] * anns[i][5])
154
+ }
155
+ out["annotations"].append(ann)
156
+ image_cnt += num_images
157
+ print("loaded {} for {} images and {} samples".format(
158
+ split, len(out["images"]), len(out["annotations"])))
159
+ with open(out_path, "w") as f:
160
+ json.dump(out, f, indent=2)
scripts/sportsmot_to_trackeval.py ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import shutil
3
+
4
+ TRACKEVAL_DATA_ROOT = "ROOTDIR/trackeval"
5
+ SPORTSMOT_DATA_ROOT = "ROOTDIR/sportsmot"
6
+ NO_SUBDIR = True
7
+
8
+ for split in ["train", "val", "test"]:
9
+ outputs_dir = f"ROOTDIR/results/{split}"
10
+ mybenchmark_name = "sportsmot"
11
+ split_txt = f"ROOTDIR/splits_txt/{split}.txt"
12
+ tracker_name = "tracker_to_eval"
13
+
14
+ # ========default hierarchy========
15
+ # folder hierarchy according to
16
+ # https://github.com/JonathonLuiten/TrackEval/blob/master/docs/MOTChallenge-Official/Readme.md#evaluating-on-your-own-data
17
+ eval_gt_dir = os.path.join(
18
+ TRACKEVAL_DATA_ROOT, "gt" if NO_SUBDIR else "data/gt/mot_challenge",
19
+ mybenchmark_name + "-" + split)
20
+ os.makedirs(eval_gt_dir, exist_ok=True)
21
+ eval_seqmap_dir = os.path.join(
22
+ TRACKEVAL_DATA_ROOT, "gt" if NO_SUBDIR else "data/gt/mot_challenge",
23
+ "seqmaps")
24
+ os.makedirs(eval_seqmap_dir, exist_ok=True)
25
+ eval_trackers_dir = os.path.join(
26
+ TRACKEVAL_DATA_ROOT,
27
+ "trackers" if NO_SUBDIR else "data/trackers/mot_challenge",
28
+ mybenchmark_name + "-" + split, tracker_name, "data")
29
+ os.makedirs(eval_trackers_dir, exist_ok=True)
30
+
31
+ shutil.copy(
32
+ split_txt,
33
+ os.path.join(eval_seqmap_dir, f"{mybenchmark_name}-{split}.txt"))
34
+ with open(split_txt, "r", encoding="utf-8") as f:
35
+ for line in f.readlines():
36
+ # copy gt/ and seqinfo.ini
37
+ video_name = line.strip()
38
+ source_dir = os.path.join(SPORTSMOT_DATA_ROOT, split, video_name)
39
+ target_dir = os.path.join(eval_gt_dir, video_name)
40
+
41
+ source_gt_dir = os.path.join(source_dir, "gt")
42
+ target_gt_dir = os.path.join(target_dir, "gt")
43
+ shutil.copytree(source_gt_dir, target_gt_dir)
44
+ source_seqinfo = os.path.join(source_dir, "seqinfo.ini")
45
+ shutil.copy(source_seqinfo, target_dir)
46
+
47
+ # copy tracker output
48
+ source_track = os.path.join(outputs_dir, f"{video_name}.txt")
49
+ assert os.path.isfile(source_track)
50
+ shutil.copy(source_track, eval_trackers_dir)
splits_txt/basketball.txt ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ v_-6Os86HzwCs_c001
2
+ v_-6Os86HzwCs_c003
3
+ v_-6Os86HzwCs_c007
4
+ v_-6Os86HzwCs_c009
5
+ v_-9kabh1K8UA_c008
6
+ v_-9kabh1K8UA_c009
7
+ v_-9kabh1K8UA_c010
8
+ v_00HRwkvvjtQ_c001
9
+ v_00HRwkvvjtQ_c003
10
+ v_00HRwkvvjtQ_c005
11
+ v_00HRwkvvjtQ_c007
12
+ v_00HRwkvvjtQ_c008
13
+ v_00HRwkvvjtQ_c011
14
+ v_2BhBRkkAqbQ_c002
15
+ v_2j7kLB-vEEk_c001
16
+ v_2j7kLB-vEEk_c002
17
+ v_2j7kLB-vEEk_c005
18
+ v_2j7kLB-vEEk_c007
19
+ v_2j7kLB-vEEk_c009
20
+ v_2j7kLB-vEEk_c010
21
+ v_42VrMbd68Zg_c003
22
+ v_42VrMbd68Zg_c004
23
+ v_42VrMbd68Zg_c011
24
+ v_42VrMbd68Zg_c012
25
+ v_4LXTUim5anY_c002
26
+ v_4LXTUim5anY_c003
27
+ v_4LXTUim5anY_c010
28
+ v_4LXTUim5anY_c012
29
+ v_4LXTUim5anY_c013
30
+ v_4r8QL_wglzQ_c001
31
+ v_5ekaksddqrc_c001
32
+ v_5ekaksddqrc_c002
33
+ v_5ekaksddqrc_c003
34
+ v_5ekaksddqrc_c004
35
+ v_5ekaksddqrc_c005
36
+ v_6OLC1-bhioc_c001
37
+ v_6OLC1-bhioc_c003
38
+ v_6OLC1-bhioc_c005
39
+ v_6OLC1-bhioc_c007
40
+ v_6OLC1-bhioc_c008
41
+ v_6OLC1-bhioc_c009
42
+ v_6OLC1-bhioc_c011
43
+ v_6OLC1-bhioc_c012
44
+ v_6OLC1-bhioc_c013
45
+ v_6OLC1-bhioc_c014
46
+ v_6oTxfzKdG6Q_c004
47
+ v_6oTxfzKdG6Q_c015
48
+ v_7FTsO8S3h88_c001
49
+ v_7FTsO8S3h88_c004
50
+ v_7FTsO8S3h88_c005
51
+ v_7FTsO8S3h88_c006
52
+ v_7FTsO8S3h88_c007
53
+ v_7FTsO8S3h88_c008
54
+ v_82WN8C8qJmI_c002
55
+ v_82WN8C8qJmI_c003
56
+ v_82WN8C8qJmI_c004
57
+ v_82WN8C8qJmI_c005
58
+ v_82WN8C8qJmI_c014
59
+ v_A4OJhlI6hgc_c001
60
+ v_A4OJhlI6hgc_c002
61
+ v_A4OJhlI6hgc_c003
62
+ v_A4OJhlI6hgc_c005
63
+ v_A4OJhlI6hgc_c601
64
+ v_BdD9xu0E2H4_c003
65
+ v_BdD9xu0E2H4_c004
66
+ v_BdD9xu0E2H4_c006
67
+ v_BdD9xu0E2H4_c010
68
+ v_BdD9xu0E2H4_c011
69
+ v_BdD9xu0E2H4_c013
70
+ v_BgwzTUxJaeU_c008
71
+ v_BgwzTUxJaeU_c012
72
+ v_BgwzTUxJaeU_c014
73
+ v_aVfJwdQxCsU_c001
74
+ v_aVfJwdQxCsU_c007
75
+ v_aVfJwdQxCsU_c015
76
+ v_bQNDRprvpus_c001
77
+ v_bQNDRprvpus_c003
78
+ v_bQNDRprvpus_c005
79
+ v_bQNDRprvpus_c007
80
+ v_bQNDRprvpus_c008
splits_txt/football.txt ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ v_-hhDbvY5aAM_c001
2
+ v_-hhDbvY5aAM_c002
3
+ v_-hhDbvY5aAM_c005
4
+ v_-hhDbvY5aAM_c006
5
+ v_-hhDbvY5aAM_c007
6
+ v_-hhDbvY5aAM_c008
7
+ v_-hhDbvY5aAM_c009
8
+ v_-hhDbvY5aAM_c011
9
+ v_-hhDbvY5aAM_c012
10
+ v_-hhDbvY5aAM_c600
11
+ v_-hhDbvY5aAM_c602
12
+ v_1UDUODIBSsc_c001
13
+ v_1UDUODIBSsc_c004
14
+ v_1UDUODIBSsc_c015
15
+ v_1UDUODIBSsc_c037
16
+ v_1UDUODIBSsc_c055
17
+ v_1UDUODIBSsc_c056
18
+ v_1UDUODIBSsc_c063
19
+ v_1UDUODIBSsc_c067
20
+ v_1UDUODIBSsc_c090
21
+ v_1UDUODIBSsc_c103
22
+ v_1UDUODIBSsc_c111
23
+ v_1UDUODIBSsc_c113
24
+ v_1UDUODIBSsc_c601
25
+ v_1UDUODIBSsc_c602
26
+ v_1UDUODIBSsc_c603
27
+ v_1UDUODIBSsc_c606
28
+ v_1UDUODIBSsc_c609
29
+ v_1UDUODIBSsc_c615
30
+ v_1yHWGw8DH4A_c029
31
+ v_1yHWGw8DH4A_c047
32
+ v_1yHWGw8DH4A_c077
33
+ v_1yHWGw8DH4A_c601
34
+ v_1yHWGw8DH4A_c609
35
+ v_1yHWGw8DH4A_c610
36
+ v_2ChiYdg5bxI_c039
37
+ v_2ChiYdg5bxI_c044
38
+ v_2ChiYdg5bxI_c046
39
+ v_2ChiYdg5bxI_c058
40
+ v_2ChiYdg5bxI_c067
41
+ v_2ChiYdg5bxI_c072
42
+ v_2ChiYdg5bxI_c086
43
+ v_2ChiYdg5bxI_c115
44
+ v_2ChiYdg5bxI_c120
45
+ v_2ChiYdg5bxI_c128
46
+ v_2ChiYdg5bxI_c135
47
+ v_2ChiYdg5bxI_c136
48
+ v_2ChiYdg5bxI_c600
49
+ v_2ChiYdg5bxI_c601
50
+ v_2ChiYdg5bxI_c602
51
+ v_2QhNRucNC7E_c017
52
+ v_DjtFlW2eHFI_c614
53
+ v_DjtFlW2eHFI_c616
54
+ v_G-vNjfx1GGc_c004
55
+ v_G-vNjfx1GGc_c008
56
+ v_G-vNjfx1GGc_c600
57
+ v_G-vNjfx1GGc_c601
58
+ v_HdiyOtliFiw_c003
59
+ v_HdiyOtliFiw_c004
60
+ v_HdiyOtliFiw_c008
61
+ v_HdiyOtliFiw_c010
62
+ v_HdiyOtliFiw_c602
63
+ v_ITo3sCnpw_k_c007
64
+ v_ITo3sCnpw_k_c010
65
+ v_ITo3sCnpw_k_c011
66
+ v_ITo3sCnpw_k_c012
67
+ v_dw7LOz17Omg_c053
68
+ v_dw7LOz17Omg_c067
69
+ v_foGDoBblREI_c002
70
+ v_foGDoBblREI_c008
71
+ v_gQNyhv8y0QY_c003
72
+ v_gQNyhv8y0QY_c012
73
+ v_gQNyhv8y0QY_c013
74
+ v_i2_L4qquVg0_c006
75
+ v_i2_L4qquVg0_c007
76
+ v_i2_L4qquVg0_c009
77
+ v_i2_L4qquVg0_c010
78
+ v_iF9bKPWdZlc_c001
79
+ v_iF9bKPWdZlc_c003
80
+ v_iIxMOsCGH58_c013
splits_txt/test.txt ADDED
@@ -0,0 +1,150 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ v_-9kabh1K8UA_c008
2
+ v_-9kabh1K8UA_c009
3
+ v_-9kabh1K8UA_c010
4
+ v_2BhBRkkAqbQ_c002
5
+ v_6OLC1-bhioc_c001
6
+ v_6OLC1-bhioc_c003
7
+ v_6OLC1-bhioc_c005
8
+ v_6OLC1-bhioc_c007
9
+ v_6OLC1-bhioc_c008
10
+ v_6OLC1-bhioc_c009
11
+ v_6OLC1-bhioc_c011
12
+ v_6OLC1-bhioc_c012
13
+ v_6OLC1-bhioc_c013
14
+ v_6OLC1-bhioc_c014
15
+ v_6oTxfzKdG6Q_c004
16
+ v_6oTxfzKdG6Q_c015
17
+ v_7FTsO8S3h88_c001
18
+ v_7FTsO8S3h88_c004
19
+ v_7FTsO8S3h88_c005
20
+ v_7FTsO8S3h88_c006
21
+ v_7FTsO8S3h88_c007
22
+ v_7FTsO8S3h88_c008
23
+ v_42VrMbd68Zg_c003
24
+ v_42VrMbd68Zg_c004
25
+ v_42VrMbd68Zg_c011
26
+ v_42VrMbd68Zg_c012
27
+ v_82WN8C8qJmI_c002
28
+ v_82WN8C8qJmI_c003
29
+ v_82WN8C8qJmI_c004
30
+ v_82WN8C8qJmI_c005
31
+ v_82WN8C8qJmI_c014
32
+ v_A4OJhlI6hgc_c001
33
+ v_A4OJhlI6hgc_c002
34
+ v_A4OJhlI6hgc_c003
35
+ v_A4OJhlI6hgc_c005
36
+ v_A4OJhlI6hgc_c601
37
+ v_aVfJwdQxCsU_c001
38
+ v_aVfJwdQxCsU_c007
39
+ v_aVfJwdQxCsU_c015
40
+ v_BdD9xu0E2H4_c003
41
+ v_BdD9xu0E2H4_c004
42
+ v_BdD9xu0E2H4_c006
43
+ v_BdD9xu0E2H4_c010
44
+ v_BdD9xu0E2H4_c011
45
+ v_BdD9xu0E2H4_c013
46
+ v_bQNDRprvpus_c001
47
+ v_bQNDRprvpus_c003
48
+ v_bQNDRprvpus_c005
49
+ v_bQNDRprvpus_c007
50
+ v_bQNDRprvpus_c008
51
+ v_2Dnx8BpgUEs_c003
52
+ v_2Dnx8BpgUEs_c005
53
+ v_2Dnx8BpgUEs_c006
54
+ v_2Dnx8BpgUEs_c007
55
+ v_2Dw9QNH5KtU_c001
56
+ v_2Dw9QNH5KtU_c003
57
+ v_2Dw9QNH5KtU_c004
58
+ v_2Dw9QNH5KtU_c007
59
+ v_2Dw9QNH5KtU_c008
60
+ v_2Dw9QNH5KtU_c012
61
+ v_2Dw9QNH5KtU_c014
62
+ v_2Dw9QNH5KtU_c018
63
+ v_8rG1vjmJHr4_c004
64
+ v_8rG1vjmJHr4_c005
65
+ v_8rG1vjmJHr4_c006
66
+ v_8rG1vjmJHr4_c007
67
+ v_8rG1vjmJHr4_c008
68
+ v_8rG1vjmJHr4_c010
69
+ v_9p0i81kAEwE_c002
70
+ v_9p0i81kAEwE_c003
71
+ v_9p0i81kAEwE_c006
72
+ v_9p0i81kAEwE_c007
73
+ v_9p0i81kAEwE_c008
74
+ v_9p0i81kAEwE_c009
75
+ v_9p0i81kAEwE_c010
76
+ v_9p0i81kAEwE_c013
77
+ v_9p0i81kAEwE_c014
78
+ v_9p0i81kAEwE_c015
79
+ v_9p0i81kAEwE_c018
80
+ v_9p0i81kAEwE_c019
81
+ v_aAb0psypDj4_c003
82
+ v_aAb0psypDj4_c006
83
+ v_aAb0psypDj4_c008
84
+ v_aAb0psypDj4_c009
85
+ v_bhWjlAEICp8_c003
86
+ v_bhWjlAEICp8_c004
87
+ v_bhWjlAEICp8_c006
88
+ v_bhWjlAEICp8_c008
89
+ v_bhWjlAEICp8_c009
90
+ v_bhWjlAEICp8_c010
91
+ v_bhWjlAEICp8_c014
92
+ v_bhWjlAEICp8_c018
93
+ v_czYZnO9QxYQ_c002
94
+ v_czYZnO9QxYQ_c005
95
+ v_czYZnO9QxYQ_c008
96
+ v_czYZnO9QxYQ_c012
97
+ v_czYZnO9QxYQ_c013
98
+ v_czYZnO9QxYQ_c014
99
+ v_czYZnO9QxYQ_c016
100
+ v_czYZnO9QxYQ_c020
101
+ v_-hhDbvY5aAM_c001
102
+ v_-hhDbvY5aAM_c002
103
+ v_-hhDbvY5aAM_c005
104
+ v_-hhDbvY5aAM_c006
105
+ v_-hhDbvY5aAM_c007
106
+ v_-hhDbvY5aAM_c008
107
+ v_-hhDbvY5aAM_c009
108
+ v_-hhDbvY5aAM_c011
109
+ v_-hhDbvY5aAM_c012
110
+ v_-hhDbvY5aAM_c600
111
+ v_-hhDbvY5aAM_c602
112
+ v_1UDUODIBSsc_c001
113
+ v_1UDUODIBSsc_c004
114
+ v_1UDUODIBSsc_c015
115
+ v_1UDUODIBSsc_c037
116
+ v_1UDUODIBSsc_c055
117
+ v_1UDUODIBSsc_c056
118
+ v_1UDUODIBSsc_c063
119
+ v_1UDUODIBSsc_c067
120
+ v_1UDUODIBSsc_c090
121
+ v_1UDUODIBSsc_c103
122
+ v_1UDUODIBSsc_c111
123
+ v_1UDUODIBSsc_c113
124
+ v_1UDUODIBSsc_c601
125
+ v_1UDUODIBSsc_c602
126
+ v_1UDUODIBSsc_c603
127
+ v_1UDUODIBSsc_c606
128
+ v_1UDUODIBSsc_c609
129
+ v_1UDUODIBSsc_c615
130
+ v_2ChiYdg5bxI_c039
131
+ v_2ChiYdg5bxI_c044
132
+ v_2ChiYdg5bxI_c046
133
+ v_2ChiYdg5bxI_c058
134
+ v_2ChiYdg5bxI_c067
135
+ v_2ChiYdg5bxI_c072
136
+ v_2ChiYdg5bxI_c086
137
+ v_2ChiYdg5bxI_c115
138
+ v_2ChiYdg5bxI_c120
139
+ v_2ChiYdg5bxI_c128
140
+ v_2ChiYdg5bxI_c135
141
+ v_2ChiYdg5bxI_c136
142
+ v_2ChiYdg5bxI_c600
143
+ v_2ChiYdg5bxI_c601
144
+ v_2ChiYdg5bxI_c602
145
+ v_DjtFlW2eHFI_c614
146
+ v_DjtFlW2eHFI_c616
147
+ v_foGDoBblREI_c002
148
+ v_foGDoBblREI_c008
149
+ v_iF9bKPWdZlc_c001
150
+ v_iF9bKPWdZlc_c003
splits_txt/train.txt ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ v_-6Os86HzwCs_c001
2
+ v_-6Os86HzwCs_c003
3
+ v_-6Os86HzwCs_c007
4
+ v_-6Os86HzwCs_c009
5
+ v_2j7kLB-vEEk_c001
6
+ v_2j7kLB-vEEk_c002
7
+ v_2j7kLB-vEEk_c005
8
+ v_2j7kLB-vEEk_c007
9
+ v_2j7kLB-vEEk_c009
10
+ v_2j7kLB-vEEk_c010
11
+ v_4LXTUim5anY_c002
12
+ v_4LXTUim5anY_c003
13
+ v_4LXTUim5anY_c010
14
+ v_4LXTUim5anY_c012
15
+ v_4LXTUim5anY_c013
16
+ v_1LwtoLPw2TU_c006
17
+ v_1LwtoLPw2TU_c012
18
+ v_1LwtoLPw2TU_c014
19
+ v_1LwtoLPw2TU_c016
20
+ v_ApPxnw_Jffg_c001
21
+ v_ApPxnw_Jffg_c002
22
+ v_ApPxnw_Jffg_c009
23
+ v_ApPxnw_Jffg_c015
24
+ v_ApPxnw_Jffg_c016
25
+ v_CW0mQbgYIF4_c004
26
+ v_CW0mQbgYIF4_c005
27
+ v_CW0mQbgYIF4_c006
28
+ v_dChHNGIfm4Y_c003
29
+ v_Dk3EpDDa3o0_c002
30
+ v_Dk3EpDDa3o0_c007
31
+ v_1yHWGw8DH4A_c029
32
+ v_1yHWGw8DH4A_c047
33
+ v_1yHWGw8DH4A_c077
34
+ v_1yHWGw8DH4A_c601
35
+ v_1yHWGw8DH4A_c609
36
+ v_1yHWGw8DH4A_c610
37
+ v_gQNyhv8y0QY_c003
38
+ v_gQNyhv8y0QY_c012
39
+ v_gQNyhv8y0QY_c013
40
+ v_HdiyOtliFiw_c003
41
+ v_HdiyOtliFiw_c004
42
+ v_HdiyOtliFiw_c008
43
+ v_HdiyOtliFiw_c010
44
+ v_HdiyOtliFiw_c602
45
+ v_iIxMOsCGH58_c013
splits_txt/val.txt ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ v_00HRwkvvjtQ_c001
2
+ v_00HRwkvvjtQ_c003
3
+ v_00HRwkvvjtQ_c005
4
+ v_00HRwkvvjtQ_c007
5
+ v_00HRwkvvjtQ_c008
6
+ v_00HRwkvvjtQ_c011
7
+ v_4r8QL_wglzQ_c001
8
+ v_5ekaksddqrc_c001
9
+ v_5ekaksddqrc_c002
10
+ v_5ekaksddqrc_c003
11
+ v_5ekaksddqrc_c004
12
+ v_5ekaksddqrc_c005
13
+ v_BgwzTUxJaeU_c008
14
+ v_BgwzTUxJaeU_c012
15
+ v_BgwzTUxJaeU_c014
16
+ v_0kUtTtmLaJA_c004
17
+ v_0kUtTtmLaJA_c005
18
+ v_0kUtTtmLaJA_c006
19
+ v_0kUtTtmLaJA_c007
20
+ v_0kUtTtmLaJA_c008
21
+ v_0kUtTtmLaJA_c010
22
+ v_4-EmEtrturE_c009
23
+ v_9MHDmAMxO5I_c002
24
+ v_9MHDmAMxO5I_c003
25
+ v_9MHDmAMxO5I_c004
26
+ v_9MHDmAMxO5I_c006
27
+ v_9MHDmAMxO5I_c009
28
+ v_cC2mHWqMcjk_c007
29
+ v_cC2mHWqMcjk_c008
30
+ v_cC2mHWqMcjk_c009
31
+ v_2QhNRucNC7E_c017
32
+ v_dw7LOz17Omg_c053
33
+ v_dw7LOz17Omg_c067
34
+ v_G-vNjfx1GGc_c004
35
+ v_G-vNjfx1GGc_c008
36
+ v_G-vNjfx1GGc_c600
37
+ v_G-vNjfx1GGc_c601
38
+ v_i2_L4qquVg0_c006
39
+ v_i2_L4qquVg0_c007
40
+ v_i2_L4qquVg0_c009
41
+ v_i2_L4qquVg0_c010
42
+ v_ITo3sCnpw_k_c007
43
+ v_ITo3sCnpw_k_c010
44
+ v_ITo3sCnpw_k_c011
45
+ v_ITo3sCnpw_k_c012
splits_txt/volleyball.txt ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ v_0kUtTtmLaJA_c004
2
+ v_0kUtTtmLaJA_c005
3
+ v_0kUtTtmLaJA_c006
4
+ v_0kUtTtmLaJA_c007
5
+ v_0kUtTtmLaJA_c008
6
+ v_0kUtTtmLaJA_c010
7
+ v_1LwtoLPw2TU_c006
8
+ v_1LwtoLPw2TU_c012
9
+ v_1LwtoLPw2TU_c014
10
+ v_1LwtoLPw2TU_c016
11
+ v_2Dnx8BpgUEs_c003
12
+ v_2Dnx8BpgUEs_c005
13
+ v_2Dnx8BpgUEs_c006
14
+ v_2Dnx8BpgUEs_c007
15
+ v_2Dw9QNH5KtU_c001
16
+ v_2Dw9QNH5KtU_c003
17
+ v_2Dw9QNH5KtU_c004
18
+ v_2Dw9QNH5KtU_c007
19
+ v_2Dw9QNH5KtU_c008
20
+ v_2Dw9QNH5KtU_c012
21
+ v_2Dw9QNH5KtU_c014
22
+ v_2Dw9QNH5KtU_c018
23
+ v_4-EmEtrturE_c009
24
+ v_8rG1vjmJHr4_c004
25
+ v_8rG1vjmJHr4_c005
26
+ v_8rG1vjmJHr4_c006
27
+ v_8rG1vjmJHr4_c007
28
+ v_8rG1vjmJHr4_c008
29
+ v_8rG1vjmJHr4_c010
30
+ v_9MHDmAMxO5I_c002
31
+ v_9MHDmAMxO5I_c003
32
+ v_9MHDmAMxO5I_c004
33
+ v_9MHDmAMxO5I_c006
34
+ v_9MHDmAMxO5I_c009
35
+ v_9p0i81kAEwE_c002
36
+ v_9p0i81kAEwE_c003
37
+ v_9p0i81kAEwE_c006
38
+ v_9p0i81kAEwE_c007
39
+ v_9p0i81kAEwE_c008
40
+ v_9p0i81kAEwE_c009
41
+ v_9p0i81kAEwE_c010
42
+ v_9p0i81kAEwE_c013
43
+ v_9p0i81kAEwE_c014
44
+ v_9p0i81kAEwE_c015
45
+ v_9p0i81kAEwE_c018
46
+ v_9p0i81kAEwE_c019
47
+ v_ApPxnw_Jffg_c001
48
+ v_ApPxnw_Jffg_c002
49
+ v_ApPxnw_Jffg_c009
50
+ v_ApPxnw_Jffg_c015
51
+ v_ApPxnw_Jffg_c016
52
+ v_CW0mQbgYIF4_c004
53
+ v_CW0mQbgYIF4_c005
54
+ v_CW0mQbgYIF4_c006
55
+ v_Dk3EpDDa3o0_c002
56
+ v_Dk3EpDDa3o0_c007
57
+ v_aAb0psypDj4_c003
58
+ v_aAb0psypDj4_c006
59
+ v_aAb0psypDj4_c008
60
+ v_aAb0psypDj4_c009
61
+ v_bhWjlAEICp8_c003
62
+ v_bhWjlAEICp8_c004
63
+ v_bhWjlAEICp8_c006
64
+ v_bhWjlAEICp8_c008
65
+ v_bhWjlAEICp8_c009
66
+ v_bhWjlAEICp8_c010
67
+ v_bhWjlAEICp8_c014
68
+ v_bhWjlAEICp8_c018
69
+ v_cC2mHWqMcjk_c007
70
+ v_cC2mHWqMcjk_c008
71
+ v_cC2mHWqMcjk_c009
72
+ v_czYZnO9QxYQ_c002
73
+ v_czYZnO9QxYQ_c005
74
+ v_czYZnO9QxYQ_c008
75
+ v_czYZnO9QxYQ_c012
76
+ v_czYZnO9QxYQ_c013
77
+ v_czYZnO9QxYQ_c014
78
+ v_czYZnO9QxYQ_c016
79
+ v_czYZnO9QxYQ_c020
80
+ v_dChHNGIfm4Y_c003