Hugging Face's logo

Datasets:
LEI-QI-233
/
MicroG-HAR-train-ready

Tasks:
Video Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
human action recognition
microgravity
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
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LEI-QI-233 commited on
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Files changed (18) hide show
  1. .gitattributes +1 -0
  2. ava/annotations/ava_all.csv +0 -0
  3. ava/annotations/ava_test_gt.csv +0 -0
  4. ava/annotations/ava_test_predicted_boxes.csv +0 -0
  5. ava/annotations/ava_train.csv +0 -0
  6. ava/annotations/ava_val_gt.csv +1329 -0
  7. ava/annotations/ava_val_predicted_boxes.csv +1329 -0
  8. ava/annotations/label_map.pbtxt +299 -0
  9. ava/frame_lists/test.csv +0 -0
  10. ava/frame_lists/train.csv +3 -0
  11. ava/frame_lists/val.csv +0 -0
  12. configs/HAR/I3D_NLN_8x8_R50.yaml +97 -0
  13. configs/HAR/MVIT_B_16x4.yaml +124 -0
  14. configs/HAR/MVITv2_S_16x4.yaml +129 -0
  15. configs/HAR/SLOW.yaml +100 -0
  16. configs/HAR/SLOWFAST.yaml +103 -0
  17. configs/HAR/X3D_L.yaml +97 -0
  18. configs/HAR/X3D_S.yaml +96 -0
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+ ava/frame_lists/train.csv filter=lfs diff=lfs merge=lfs -text
ava/annotations/ava_all.csv ADDED
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ava/annotations/ava_test_gt.csv ADDED
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ava/annotations/ava_test_predicted_boxes.csv ADDED
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ava/annotations/ava_train.csv ADDED
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ava/annotations/ava_val_gt.csv ADDED
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19
+ NUM_SPATIAL_CROPS: 1
20
+ CHECKPOINT_FILE_PATH: /home/lqi/lqi_temp/trainingspace/results/MVIT_B_16x4/checkpoints/checkpoint_epoch_00050.pyth
21
+
22
+ AVA:
23
+ # train and test file need to be changed for different work
24
+
25
+ # -------------- For TRAIN.ENABLE: TRUE and TEST.ENABLE: FALSE ------------------
26
+
27
+ # GROUNDTRUTH_FILE: "ava_val_gt.csv"
28
+ # TEST_LISTS: ["val.csv"]
29
+ # TEST_PREDICT_BOX_LISTS: ["ava_val_predicted_boxes.csv"]
30
+
31
+ # -------------- For TRAIN.ENABLE: FALSE and TEST.ENABLE: TRUE ------------------
32
+
33
+ GROUNDTRUTH_FILE: "ava_test_gt.csv"
34
+ TEST_LISTS: ["test.csv"]
35
+ TEST_PREDICT_BOX_LISTS: ["ava_test_predicted_boxes.csv"]
36
+
37
+ DETECTION_SCORE_THRESH: 0.0
38
+ FRAME_LIST_DIR: "../ava/frame_lists"
39
+ FRAME_DIR: "../ava/frames"
40
+ ANNOTATION_DIR: "../ava/annotations"
41
+ FULL_TEST_ON_VAL: True
42
+ TRAIN_GT_BOX_LISTS: ["ava_train.csv"]
43
+ LABEL_MAP_FILE: "label_map.pbtxt"
44
+
45
+ DETECTION:
46
+ ENABLE: True # 必开：行为检测分支
47
+ ALIGNED: True
48
+
49
+ DATA:
50
+ USE_OFFSET_SAMPLING: True
51
+ DECODING_BACKEND: torchvision
52
+ NUM_FRAMES: 16
53
+ SAMPLING_RATE: 4
54
+ TRAIN_JITTER_SCALES: [256, 320]
55
+ TRAIN_CROP_SIZE: 224
56
+ TEST_CROP_SIZE: 224
57
+ INPUT_CHANNEL_NUM: [3]
58
+ PATH_TO_DATA_DIR: "../ava" # ← 加上根目录路径
59
+ TRAIN_JITTER_SCALES_RELATIVE: [0.08, 1.0]
60
+ TRAIN_JITTER_ASPECT_RELATIVE: [0.75, 1.3333]
61
+ MVIT:
62
+ ZERO_DECAY_POS_CLS: False
63
+ SEP_POS_EMBED: True
64
+ DEPTH: 16
65
+ NUM_HEADS: 1
66
+ EMBED_DIM: 96
67
+ PATCH_KERNEL: (3, 7, 7)
68
+ PATCH_STRIDE: (2, 4, 4)
69
+ PATCH_PADDING: (1, 3, 3)
70
+ MLP_RATIO: 4.0
71
+ QKV_BIAS: True
72
+ DROPPATH_RATE: 0.2
73
+ NORM: "layernorm"
74
+ MODE: "conv"
75
+ CLS_EMBED_ON: True
76
+ DIM_MUL: [[1, 2.0], [3, 2.0], [14, 2.0]]
77
+ HEAD_MUL: [[1, 2.0], [3, 2.0], [14, 2.0]]
78
+ POOL_KVQ_KERNEL: [3, 3, 3]
79
+ POOL_KV_STRIDE_ADAPTIVE: [1, 8, 8]
80
+ POOL_Q_STRIDE: [[1, 1, 2, 2], [3, 1, 2, 2], [14, 1, 2, 2]]
81
+ DROPOUT_RATE: 0.0
82
+ AUG:
83
+ NUM_SAMPLE: 2
84
+ ENABLE: True
85
+ COLOR_JITTER: 0.4
86
+ AA_TYPE: rand-m7-n4-mstd0.5-inc1
87
+ INTERPOLATION: bicubic
88
+ RE_PROB: 0.25
89
+ RE_MODE: pixel
90
+ RE_COUNT: 1
91
+ RE_SPLIT: False
92
+ MIXUP:
93
+ ENABLE: False
94
+
95
+ BN:
96
+ USE_PRECISE_STATS: False
97
+ NUM_BATCHES_PRECISE: 200
98
+ SOLVER:
99
+ BASE_LR: 0.0001
100
+ CLIP_GRAD_L2NORM: 1.0
101
+ LR_POLICY: steps_with_relative_lrs
102
+ STEPS: [0, 20, 30, 40, 50]
103
+ LRS: [1, 0.1, 0.01, 0.001, 0.0001]
104
+ MAX_EPOCH: 60
105
+ MOMENTUM: 0.9
106
+ WEIGHT_DECAY: 0.05
107
+ WARMUP_EPOCHS: 5.0
108
+ WARMUP_START_LR: 1e-6
109
+ OPTIMIZING_METHOD: adamw
110
+ MODEL:
111
+ NUM_CLASSES: 50
112
+ ARCH: mvit
113
+ MODEL_NAME: MViT
114
+ LOSS_FUNC: bce_logit
115
+ DROPOUT_RATE: 0.5
116
+ HEAD_ACT: none
117
+
118
+
119
+ DATA_LOADER:
120
+ NUM_WORKERS: 8
121
+ PIN_MEMORY: True
122
+ NUM_GPUS: 4
123
+ NUM_SHARDS: 1
124
+ RNG_SEED: 0
configs/HAR/MVITv2_S_16x4.yaml ADDED
@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ TRAIN:
2
+ ENABLE: False
3
+ DATASET: ava
4
+ BATCH_SIZE: 48
5
+ EVAL_PERIOD: 5
6
+ CHECKPOINT_PERIOD: 5
7
+ AUTO_RESUME: true
8
+ CHECKPOINT_FILE_PATH: /home/lqi/lqi_temp/trainingspace/pretrained_models/MViTv2_S_16x4.pyth
9
+ CHECKPOINT_EPOCH_RESET: true
10
+ CHECKPOINT_TYPE: pytorch
11
+ MIXED_PRECISION: true
12
+
13
+ OUTPUT_DIR: /home/lqi/lqi_temp/trainingspace/results/MVITv2_S_16x4
14
+
15
+ TEST:
16
+ ENABLE: True
17
+ DATASET: ava
18
+ BATCH_SIZE: 4
19
+ NUM_SPATIAL_CROPS: 1
20
+ NUM_ENSEMBLE_VIEWS: 5
21
+ CHECKPOINT_FILE_PATH: /home/lqi/lqi_temp/trainingspace/results/MVITv2_S_16x4/checkpoints/checkpoint_epoch_00040.pyth
22
+
23
+ AVA:
24
+ AVA:
25
+ # train and test file need to be changed for different work
26
+
27
+ # -------------- For TRAIN.ENABLE: TRUE and TEST.ENABLE: FALSE ------------------
28
+
29
+ # GROUNDTRUTH_FILE: "ava_val_gt.csv"
30
+ # TEST_LISTS: ["val.csv"]
31
+ # TEST_PREDICT_BOX_LISTS: ["ava_val_predicted_boxes.csv"]
32
+
33
+ # -------------- For TRAIN.ENABLE: FALSE and TEST.ENABLE: TRUE ------------------
34
+
35
+ GROUNDTRUTH_FILE: "ava_test_gt.csv"
36
+ TEST_LISTS: ["test.csv"]
37
+ TEST_PREDICT_BOX_LISTS: ["ava_test_predicted_boxes.csv"]
38
+
39
+ DETECTION_SCORE_THRESH: 0.0
40
+ FRAME_LIST_DIR: "../ava/frame_lists"
41
+ FRAME_DIR: "../ava/frames"
42
+ ANNOTATION_DIR: "../ava/annotations"
43
+ FULL_TEST_ON_VAL: True
44
+ TRAIN_GT_BOX_LISTS: ["ava_train.csv"]
45
+ LABEL_MAP_FILE: "label_map.pbtxt"
46
+
47
+ DETECTION:
48
+ ENABLE: True
49
+ ALIGNED: True
50
+
51
+ DATA:
52
+ USE_OFFSET_SAMPLING: True
53
+ DECODING_BACKEND: torchvision
54
+ NUM_FRAMES: 16
55
+ SAMPLING_RATE: 4
56
+ TRAIN_JITTER_SCALES: [256, 320]
57
+ TRAIN_CROP_SIZE: 224
58
+ TEST_CROP_SIZE: 224
59
+ INPUT_CHANNEL_NUM: [3]
60
+ PATH_TO_DATA_DIR: "../ava"
61
+ TRAIN_JITTER_SCALES_RELATIVE: [0.08, 1.0]
62
+ TRAIN_JITTER_ASPECT_RELATIVE: [0.75, 1.3333]
63
+ MVIT:
64
+ ZERO_DECAY_POS_CLS: False
65
+ USE_ABS_POS: False
66
+ REL_POS_SPATIAL: True
67
+ REL_POS_TEMPORAL: True
68
+ DEPTH: 16
69
+ NUM_HEADS: 1
70
+ EMBED_DIM: 96
71
+ PATCH_KERNEL: (3, 7, 7)
72
+ PATCH_STRIDE: (2, 4, 4)
73
+ PATCH_PADDING: (1, 3, 3)
74
+ MLP_RATIO: 4.0
75
+ QKV_BIAS: True
76
+ DROPPATH_RATE: 0.2
77
+ NORM: "layernorm"
78
+ MODE: "conv"
79
+ CLS_EMBED_ON: True
80
+ DIM_MUL: [[1, 2.0], [3, 2.0], [14, 2.0]]
81
+ HEAD_MUL: [[1, 2.0], [3, 2.0], [14, 2.0]]
82
+ POOL_KVQ_KERNEL: [3, 3, 3]
83
+ POOL_KV_STRIDE_ADAPTIVE: [1, 8, 8]
84
+ POOL_Q_STRIDE: [[0, 1, 1, 1], [1, 1, 2, 2], [2, 1, 1, 1], [3, 1, 2, 2], [4, 1, 1, 1], [5, 1, 1, 1], [6, 1, 1, 1], [7, 1, 1, 1], [8, 1, 1, 1], [9, 1, 1, 1], [10, 1, 1, 1], [11, 1, 1, 1], [12, 1, 1, 1], [13, 1, 1, 1], [14, 1, 2, 2], [15, 1, 1, 1]]
85
+ DROPOUT_RATE: 0.0
86
+ DIM_MUL_IN_ATT: True
87
+ RESIDUAL_POOLING: True
88
+ AUG:
89
+ NUM_SAMPLE: 2
90
+ ENABLE: True
91
+ COLOR_JITTER: 0.4
92
+ AA_TYPE: rand-m7-n4-mstd0.5-inc1
93
+ INTERPOLATION: bicubic
94
+ RE_PROB: 0.25
95
+ RE_MODE: pixel
96
+ RE_COUNT: 1
97
+ RE_SPLIT: False
98
+
99
+
100
+ MIXUP:
101
+ ENABLE: False
102
+
103
+ SOLVER:
104
+ BASE_LR: 0.0001
105
+ CLIP_GRAD_L2NORM: 1.0
106
+ LR_POLICY: steps_with_relative_lrs
107
+ STEPS: [0, 20, 30, 40, 50]
108
+ LRS: [1, 0.1, 0.01, 0.001, 0.0001]
109
+ MAX_EPOCH: 60
110
+ MOMENTUM: 0.9
111
+ WEIGHT_DECAY: 0.05
112
+ WARMUP_EPOCHS: 5.0
113
+ WARMUP_START_LR: 1e-6
114
+ OPTIMIZING_METHOD: adamw
115
+
116
+ MODEL:
117
+ NUM_CLASSES: 50
118
+ ARCH: mvit
119
+ MODEL_NAME: MViT
120
+ LOSS_FUNC: bce_logit
121
+ DROPOUT_RATE: 0.5
122
+ HEAD_ACT: none
123
+
124
+ DATA_LOADER:
125
+ NUM_WORKERS: 8
126
+ PIN_MEMORY: True
127
+ NUM_GPUS: 4
128
+ NUM_SHARDS: 1
129
+ RNG_SEED: 0
configs/HAR/SLOW.yaml ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Suitable for single path, resnet model like SLOW, C2D, I3D (NLN)
2
+
3
+ TRAIN:
4
+ ENABLE: False
5
+ DATASET: ava
6
+ BATCH_SIZE: 64
7
+ EVAL_PERIOD: 5
8
+ CHECKPOINT_PERIOD: 5
9
+ AUTO_RESUME: True
10
+ CHECKPOINT_FILE_PATH: /home/lqi/lqi_temp/trainingspace/pretrained_models/SLOWONLY_8x8_R50.pkl
11
+ CHECKPOINT_TYPE: caffe2
12
+ MIXED_PRECISION: True
13
+
14
+ TEST:
15
+ ENABLE: True
16
+ DATASET: ava
17
+ BATCH_SIZE: 4
18
+ CHECKPOINT_FILE_PATH: /home/lqi/lqi_temp/trainingspace/pretrained_models/ava_pretrained/C2D_8x8_R50.pkl
19
+ CHECKPOINT_TYPE: caffe2
20
+
21
+ OUTPUT_DIR: /home/lqi/lqi_temp/trainingspace/results/test_on_ava_model/SLOW_8x8_R50_K400
22
+
23
+ AVA:
24
+ # train and test file need to be changed for different work
25
+
26
+ # -------------- For TRAIN.ENABLE: TRUE and TEST.ENABLE: FALSE ------------------
27
+
28
+ # GROUNDTRUTH_FILE: "ava_val_gt.csv"
29
+ # TEST_LISTS: ["val.csv"]
30
+ # TEST_PREDICT_BOX_LISTS: ["ava_val_predicted_boxes.csv"]
31
+
32
+ # -------------- For TRAIN.ENABLE: FALSE and TEST.ENABLE: TRUE ------------------
33
+
34
+ GROUNDTRUTH_FILE: "ava_test_gt.csv"
35
+ TEST_LISTS: ["test.csv"]
36
+ TEST_PREDICT_BOX_LISTS: ["ava_test_predicted_boxes.csv"]
37
+
38
+ DETECTION_SCORE_THRESH: 0.0
39
+ FRAME_LIST_DIR: "../ava/frame_lists"
40
+ FRAME_DIR: "../ava/frames"
41
+ ANNOTATION_DIR: "../ava/annotations"
42
+ FULL_TEST_ON_VAL: True
43
+ TRAIN_GT_BOX_LISTS: ["ava_train.csv"]
44
+ LABEL_MAP_FILE: "label_map.pbtxt"
45
+ # LABEL_MAP_FILE: "/home/lqi/lqi_temp/trainingspace/pretrained_models/ava_pretrained/ava_action_list_v2.2.pbtxt"
46
+
47
+ DATA:
48
+ NUM_FRAMES: 8
49
+ SAMPLING_RATE: 8
50
+ TRAIN_JITTER_SCALES: [256, 320]
51
+ TRAIN_CROP_SIZE: 224
52
+ TEST_CROP_SIZE: 256
53
+ INPUT_CHANNEL_NUM: [3]
54
+
55
+ DETECTION:
56
+ ENABLE: True
57
+ ALIGNED: True
58
+ RESNET:
59
+ ZERO_INIT_FINAL_BN: True
60
+ WIDTH_PER_GROUP: 64
61
+ NUM_GROUPS: 1
62
+ DEPTH: 50
63
+ TRANS_FUNC: bottleneck_transform
64
+ STRIDE_1X1: False
65
+ NUM_BLOCK_TEMP_KERNEL: [[3], [4], [6], [3]]
66
+ SPATIAL_DILATIONS: [[1], [1], [1], [2]]
67
+ SPATIAL_STRIDES: [[1], [2], [2], [1]]
68
+ NONLOCAL:
69
+ LOCATION: [[[]], [[]], [[]], [[]]]
70
+ # LOCATION: [[[]], [[1, 3]], [[1, 3, 5]], [[]]] # NLN config
71
+ GROUP: [[1], [1], [1], [1]]
72
+ INSTANTIATION: softmax
73
+ BN:
74
+ USE_PRECISE_STATS: False
75
+ NUM_BATCHES_PRECISE: 200
76
+ SOLVER:
77
+ BASE_LR: 0.1
78
+ LR_POLICY: steps_with_relative_lrs
79
+ STEPS: [0, 20, 30, 40, 45]
80
+ LRS: [1, 0.1, 0.01, 0.001, 0.0001]
81
+ MAX_EPOCH: 50
82
+ MOMENTUM: 0.9
83
+ WEIGHT_DECAY: 1e-7
84
+ WARMUP_EPOCHS: 5.0
85
+ WARMUP_START_LR: 0.000125
86
+ OPTIMIZING_METHOD: sgd
87
+ MODEL:
88
+ NUM_CLASSES: 50
89
+ #change ARCH to c2d i3d slow
90
+ ARCH: slow
91
+ MODEL_NAME: ResNet
92
+ LOSS_FUNC: bce_logit
93
+ DROPOUT_RATE: 0.5
94
+ HEAD_ACT: none
95
+ DATA_LOADER:
96
+ NUM_WORKERS: 8
97
+ PIN_MEMORY: True
98
+ NUM_GPUS: 4
99
+ NUM_SHARDS: 1
100
+ RNG_SEED: 0
configs/HAR/SLOWFAST.yaml ADDED
@@ -0,0 +1,103 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ TRAIN:
2
+ ENABLE: False
3
+ DATASET: ava
4
+ BATCH_SIZE: 64
5
+ EVAL_PERIOD: 5
6
+ CHECKPOINT_PERIOD: 5
7
+ AUTO_RESUME: True
8
+ CHECKPOINT_FILE_PATH:
9
+ CHECKPOINT_TYPE: caffe2
10
+ MIXED_PRECISION: True
11
+
12
+ TEST:
13
+ ENABLE: True
14
+ DATASET: ava
15
+ BATCH_SIZE: 4
16
+ CHECKPOINT_FILE_PATH:
17
+ #CHECKPOINT_TYPE: caffe2
18
+
19
+ OUTPUT_DIR: /home/lqi/lqi_temp/trainingspace/results/test_on_ava_model/SLOWFAST_32x2_R101_K600
20
+
21
+ AVA:
22
+ # train and test file need to be changed for different work
23
+
24
+ # -------------- For TRAIN.ENABLE: TRUE and TEST.ENABLE: FALSE ------------------
25
+
26
+ # GROUNDTRUTH_FILE: "ava_val_gt.csv"
27
+ # TEST_LISTS: ["val.csv"]
28
+ # TEST_PREDICT_BOX_LISTS: ["ava_val_predicted_boxes.csv"]
29
+
30
+ # -------------- For TRAIN.ENABLE: FALSE and TEST.ENABLE: TRUE ------------------
31
+
32
+ GROUNDTRUTH_FILE: "ava_test_gt.csv"
33
+ TEST_LISTS: ["test.csv"]
34
+ TEST_PREDICT_BOX_LISTS: ["ava_test_predicted_boxes.csv"]
35
+
36
+
37
+ DETECTION_SCORE_THRESH: 0.0
38
+ FRAME_LIST_DIR: "../ava/frame_lists"
39
+ FRAME_DIR: "../ava/frames"
40
+ ANNOTATION_DIR: "../ava/annotations"
41
+ FULL_TEST_ON_VAL: True
42
+ TRAIN_GT_BOX_LISTS: ["ava_train.csv"]
43
+ LABEL_MAP_FILE: "label_map.pbtxt"
44
+
45
+
46
+ DATA:
47
+ NUM_FRAMES: 8
48
+ SAMPLING_RATE: 8
49
+ TRAIN_JITTER_SCALES: [256, 320]
50
+ TRAIN_CROP_SIZE: 224
51
+ TEST_CROP_SIZE: 256
52
+ INPUT_CHANNEL_NUM: [3, 3]
53
+
54
+ DETECTION:
55
+ ENABLE: True
56
+ ALIGNED: True
57
+ SLOWFAST:
58
+ ALPHA: 4
59
+ BETA_INV: 8
60
+ FUSION_CONV_CHANNEL_RATIO: 2
61
+ FUSION_KERNEL_SZ: 7
62
+ RESNET:
63
+ ZERO_INIT_FINAL_BN: True
64
+ WIDTH_PER_GROUP: 64
65
+ NUM_GROUPS: 1
66
+ DEPTH: 50
67
+ TRANS_FUNC: bottleneck_transform
68
+ STRIDE_1X1: False
69
+ NUM_BLOCK_TEMP_KERNEL: [[3, 3], [4, 4], [6, 6], [3, 3]]
70
+ SPATIAL_DILATIONS: [[1, 1], [1, 1], [1, 1], [2, 2]]
71
+ SPATIAL_STRIDES: [[1, 1], [2, 2], [2, 2], [1, 1]]
72
+ NONLOCAL:
73
+ LOCATION: [[[], []], [[], []], [[], []], [[], []]]
74
+ GROUP: [[1, 1], [1, 1], [1, 1], [1, 1]]
75
+ INSTANTIATION: dot_product
76
+ POOL: [[[1, 2, 2], [1, 2, 2]], [[1, 2, 2], [1, 2, 2]], [[1, 2, 2], [1, 2, 2]], [[1, 2, 2], [1, 2, 2]]]
77
+ BN:
78
+ USE_PRECISE_STATS: False
79
+ NUM_BATCHES_PRECISE: 200
80
+ SOLVER:
81
+ BASE_LR: 0.1
82
+ LR_POLICY: steps_with_relative_lrs
83
+ STEPS: [0, 20, 30, 40, 50]
84
+ LRS: [1, 0.1, 0.01, 0.001, 0.0001]
85
+ MAX_EPOCH: 40
86
+ MOMENTUM: 0.9
87
+ WEIGHT_DECAY: 1e-7
88
+ WARMUP_EPOCHS: 5.0
89
+ WARMUP_START_LR: 0.000125
90
+ OPTIMIZING_METHOD: sgd
91
+ MODEL:
92
+ NUM_CLASSES: 50
93
+ ARCH: slowfast
94
+ MODEL_NAME: SlowFast
95
+ LOSS_FUNC: bce_logit
96
+ DROPOUT_RATE: 0.5
97
+ HEAD_ACT: none
98
+ DATA_LOADER:
99
+ NUM_WORKERS: 8
100
+ PIN_MEMORY: True
101
+ NUM_GPUS: 4
102
+ NUM_SHARDS: 1
103
+ RNG_SEED: 0
configs/HAR/X3D_L.yaml ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ TRAIN:
2
+ ENABLE: False
3
+ DATASET: ava
4
+ BATCH_SIZE: 16
5
+ EVAL_PERIOD: 5
6
+ CHECKPOINT_PERIOD: 5
7
+ AUTO_RESUME: True
8
+ CHECKPOINT_FILE_PATH: /home/lqi/lqi_temp/trainingspace/pretrained_models/x3d_l.pyth
9
+ CHECKPOINT_EPOCH_RESET: true
10
+ CHECKPOINT_TYPE: pytorch
11
+ MIXED_PRECISION: true
12
+
13
+ OUTPUT_DIR: /home/lqi/lqi_temp/trainingspace/results/X3D_L
14
+
15
+ TEST:
16
+ ENABLE: True
17
+ DATASET: ava
18
+ BATCH_SIZE: 4
19
+ CHECKPOINT_FILE_PATH: /home/lqi/lqi_temp/trainingspace/results/X3D_L/checkpoints/checkpoint_epoch_00030.pyth
20
+ NUM_SPATIAL_CROPS: 3
21
+
22
+ AVA:
23
+ # train and test file need to be changed for different work
24
+
25
+ # -------------- For TRAIN.ENABLE: TRUE and TEST.ENABLE: FALSE ------------------
26
+
27
+ # GROUNDTRUTH_FILE: "ava_val_gt.csv"
28
+ # TEST_LISTS: ["val.csv"]
29
+ # TEST_PREDICT_BOX_LISTS: ["ava_val_predicted_boxes.csv"]
30
+
31
+ # -------------- For TRAIN.ENABLE: FALSE and TEST.ENABLE: TRUE ------------------
32
+
33
+ GROUNDTRUTH_FILE: "ava_test_gt.csv"
34
+ TEST_LISTS: ["test.csv"]
35
+ TEST_PREDICT_BOX_LISTS: ["ava_test_predicted_boxes.csv"]
36
+
37
+ DETECTION_SCORE_THRESH: 0.0
38
+ FRAME_LIST_DIR: "../ava/frame_lists"
39
+ FRAME_DIR: "../ava/frames"
40
+ ANNOTATION_DIR: "../ava/annotations"
41
+ FULL_TEST_ON_VAL: True
42
+ TRAIN_GT_BOX_LISTS: ["ava_train.csv"]
43
+ LABEL_MAP_FILE: "label_map.pbtxt"
44
+
45
+ X3D:
46
+ WIDTH_FACTOR: 2.0
47
+ DEPTH_FACTOR: 5.0
48
+ BOTTLENECK_FACTOR: 2.25
49
+ DIM_C5: 2048
50
+ DIM_C1: 12
51
+
52
+ DATA:
53
+ NUM_FRAMES: 16
54
+ SAMPLING_RATE: 5
55
+ TRAIN_JITTER_SCALES: [356, 446]
56
+ TRAIN_CROP_SIZE: 312
57
+ # TEST_CROP_SIZE: 312 # use if TEST.NUM_SPATIAL_CROPS: 1
58
+ TEST_CROP_SIZE: 356 # use if TEST.NUM_SPATIAL_CROPS: 3
59
+ INPUT_CHANNEL_NUM: [3]
60
+ DECODING_BACKEND: torchvision
61
+ DETECTION:
62
+ ENABLE: True
63
+ ALIGNED: True
64
+ RESNET:
65
+ ZERO_INIT_FINAL_BN: True
66
+ TRANS_FUNC: x3d_transform
67
+ STRIDE_1X1: False
68
+ BN:
69
+ USE_PRECISE_STATS: False
70
+ NUM_BATCHES_PRECISE: 200
71
+ WEIGHT_DECAY: 0.0
72
+ SOLVER:
73
+ BASE_LR: 0.1
74
+ LR_POLICY: steps_with_relative_lrs
75
+ STEPS: [0, 20, 30, 36]
76
+ LRS: [1, 0.1, 0.01, 0.001]
77
+ MAX_EPOCH: 40
78
+ MOMENTUM: 0.9
79
+ WEIGHT_DECAY: 1e-5
80
+ WARMUP_EPOCHS: 5.0
81
+ WARMUP_START_LR: 0.000125
82
+ OPTIMIZING_METHOD: sgd
83
+
84
+ MODEL:
85
+ NUM_CLASSES: 50
86
+ ARCH: x3d
87
+ MODEL_NAME: X3D
88
+ LOSS_FUNC: bce_logit
89
+ DROPOUT_RATE: 0.5
90
+ HEAD_ACT: none
91
+ DATA_LOADER:
92
+ NUM_WORKERS: 8
93
+ PIN_MEMORY: True
94
+ NUM_GPUS: 4
95
+ NUM_SHARDS: 1
96
+ RNG_SEED: 0
97
+
configs/HAR/X3D_S.yaml ADDED
@@ -0,0 +1,96 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ TRAIN:
2
+ ENABLE: False
3
+ DATASET: ava
4
+ BATCH_SIZE: 64
5
+ EVAL_PERIOD: 5
6
+ CHECKPOINT_PERIOD: 5
7
+ AUTO_RESUME: True
8
+ CHECKPOINT_FILE_PATH: /home/lqi/lqi_temp/trainingspace/pretrained_models/x3d_s.pyth
9
+ CHECKPOINT_EPOCH_RESET: true
10
+ CHECKPOINT_TYPE: pytorch
11
+ MIXED_PRECISION: true
12
+
13
+ OUTPUT_DIR: /home/lqi/lqi_temp/trainingspace/results/X3D_S
14
+
15
+ TEST:
16
+ ENABLE: True
17
+ DATASET: ava
18
+ BATCH_SIZE: 4
19
+ CHECKPOINT_FILE_PATH: /home/lqi/lqi_temp/trainingspace/results/X3D_S/checkpoints/checkpoint_epoch_00035.pyth
20
+ NUM_SPATIAL_CROPS: 3
21
+
22
+ AVA:
23
+ # train and test file need to be changed for different work
24
+
25
+ # -------------- For TRAIN.ENABLE: TRUE and TEST.ENABLE: FALSE ------------------
26
+
27
+ # GROUNDTRUTH_FILE: "ava_val_gt.csv"
28
+ # TEST_LISTS: ["val.csv"]
29
+ # TEST_PREDICT_BOX_LISTS: ["ava_val_predicted_boxes.csv"]
30
+
31
+ # -------------- For TRAIN.ENABLE: FALSE and TEST.ENABLE: TRUE ------------------
32
+
33
+ GROUNDTRUTH_FILE: "ava_test_gt.csv"
34
+ TEST_LISTS: ["test.csv"]
35
+ TEST_PREDICT_BOX_LISTS: ["ava_test_predicted_boxes.csv"]
36
+
37
+ DETECTION_SCORE_THRESH: 0.0
38
+ FRAME_LIST_DIR: "../ava/frame_lists"
39
+ FRAME_DIR: "../ava/frames"
40
+ ANNOTATION_DIR: "../ava/annotations"
41
+ FULL_TEST_ON_VAL: True
42
+ TRAIN_GT_BOX_LISTS: ["ava_train.csv"]
43
+ LABEL_MAP_FILE: "label_map.pbtxt"
44
+
45
+ X3D:
46
+ WIDTH_FACTOR: 2.0
47
+ DEPTH_FACTOR: 2.2
48
+ BOTTLENECK_FACTOR: 2.25
49
+ DIM_C5: 2048
50
+ DIM_C1: 12
51
+
52
+ DATA:
53
+ NUM_FRAMES: 13
54
+ SAMPLING_RATE: 6
55
+ TRAIN_JITTER_SCALES: [182, 228]
56
+ TRAIN_CROP_SIZE: 160
57
+ # TEST_CROP_SIZE: 160 # use if TEST.NUM_SPATIAL_CROPS: 1
58
+ TEST_CROP_SIZE: 182 # use if TEST.NUM_SPATIAL_CROPS: 3
59
+ INPUT_CHANNEL_NUM: [3]
60
+ DECODING_BACKEND: torchvision
61
+
62
+ DETECTION:
63
+ ENABLE: True
64
+ ALIGNED: True
65
+ RESNET:
66
+ ZERO_INIT_FINAL_BN: True
67
+ TRANS_FUNC: x3d_transform
68
+ STRIDE_1X1: False
69
+ BN:
70
+ USE_PRECISE_STATS: False
71
+ NUM_BATCHES_PRECISE: 200
72
+ WEIGHT_DECAY: 0.0
73
+ SOLVER:
74
+ BASE_LR: 0.1
75
+ LR_POLICY: steps_with_relative_lrs
76
+ STEPS: [0, 20, 30, 40]
77
+ LRS: [1, 0.1, 0.01, 0.001]
78
+ MAX_EPOCH: 40
79
+ MOMENTUM: 0.9
80
+ WEIGHT_DECAY: 1e-7
81
+ WARMUP_EPOCHS: 5.0
82
+ WARMUP_START_LR: 0.000125
83
+ OPTIMIZING_METHOD: sgd
84
+ MODEL:
85
+ NUM_CLASSES: 50
86
+ ARCH: x3d
87
+ MODEL_NAME: X3D
88
+ LOSS_FUNC: bce_logit
89
+ DROPOUT_RATE: 0.5
90
+ HEAD_ACT: none
91
+ DATA_LOADER:
92
+ NUM_WORKERS: 12
93
+ PIN_MEMORY: True
94
+ NUM_GPUS: 4
95
+ NUM_SHARDS: 1
96
+ RNG_SEED: 0