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tapor_model_config.py
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base1_setting = {
'spatial_encoder_param': {
'last_channel': 128,
'interverted_residual_setting': [
# t, c, n, s
[1, 16, 1, 1],
[6, 24, 2, 2],
[6, 32, 3, 2],
[6, 64, 4, 2],
],
'upsample_scale_factor': 10,
},
'keypoints_encoder_param': {
'interverted_residual_setting': [
# t, c, n, s
[1, 4, 1, 1],
[6, 8, 2, 1],
[6, 16, 3, 2],
[6, 21, 4, 1],
],
'upsample_scale_factor': 1,
},
'cross_keypoints_fusion_param':{
'trainable': True,
'init_adjacent_matrix': True,
},
'temporal_keypoints_fusion_param':{
'num_history': 9,
'num_blocks': 4,
},
'handpose_encoder_param': {
'num_head': 4,
'dim_feedforward': 1024,
'num_layers': 4,
},
}
base1_setting_varaint1 = {# initialize with structure kernel without training for base 1 model
'spatial_encoder_param': {
'last_channel': 128,
'interverted_residual_setting': [
# t, c, n, s
[1, 16, 1, 1],
[6, 24, 2, 2],
[6, 32, 3, 2],
[6, 64, 4, 2],
],
'upsample_scale_factor': 10,
},
'keypoints_encoder_param': {
'interverted_residual_setting': [
# t, c, n, s
[1, 4, 1, 1],
[6, 8, 2, 1],
[6, 16, 3, 2],
[6, 21, 4, 1],
],
'upsample_scale_factor': 1,
},
'cross_keypoints_fusion_param':{
'trainable': False,
'init_adjacent_matrix': True,
},
'temporal_keypoints_fusion_param':{
'num_history': 9,
'num_blocks': 4,
},
'handpose_encoder_param': {
'num_head': 4,
'dim_feedforward': 1024,
'num_layers': 4,
},
}
base1_setting_varaint2 = {# random initializatign with training for base 1 model
'spatial_encoder_param': {
'last_channel': 128,
'interverted_residual_setting': [
# t, c, n, s
[1, 16, 1, 1],
[6, 24, 2, 2],
[6, 32, 3, 2],
[6, 64, 4, 2],
],
'upsample_scale_factor': 10,
},
'keypoints_encoder_param': {
'interverted_residual_setting': [
# t, c, n, s
[1, 4, 1, 1],
[6, 8, 2, 1],
[6, 16, 3, 2],
[6, 21, 4, 1],
],
'upsample_scale_factor': 1,
},
'cross_keypoints_fusion_param':{
'trainable': True,
'init_adjacent_matrix': False,
},
'temporal_keypoints_fusion_param':{
'num_history': 9,
'num_blocks': 4,
},
'handpose_encoder_param': {
'num_head': 4,
'dim_feedforward': 1024,
'num_layers': 4,
},
}
base2_setting = {
'spatial_encoder_param' : {
'last_channel': 128,
'interverted_residual_setting': [
# t, c, n, s
[1, 16, 1, 1],
[6, 24, 2, 2],
[6, 32, 3, 2],
[6, 64, 4, 1],
],
'upsample_scale_factor': 10,
},
'keypoints_encoder_param' : {
'interverted_residual_setting': [
# t, c, n, s
[1, 4, 1, 1],
[6, 8, 2, 1],
[6, 16, 3, 1],
[6, 21, 4, 1],
],
'upsample_scale_factor': 1,
},
'cross_keypoints_fusion_param' : {
'trainable': True,
'init_adjacent_matrix': True,
},
'temporal_keypoints_fusion_param' :{
'num_history': 9,
'num_blocks': 4,
},
'handpose_encoder_param' : {
'num_head': 4,
'dim_feedforward': 1024,
'num_layers': 4,
},
}
large1_setting = {
'spatial_encoder_param' : {
'last_channel': 128,
'interverted_residual_setting': [
# t, c, n, s
[1, 16, 1, 1],
[6, 24, 2, 1],
[6, 32, 3, 1],
[6, 64, 4, 1],
[6, 96, 3, 1],
],
'upsample_scale_factor': 10,
},
'keypoints_encoder_param' : {
'interverted_residual_setting': [
# t, c, n, s
[1, 4, 1, 1],
[6, 8, 2, 1],
[6, 16, 3, 1],
[6, 21, 4, 1],
[6, 96, 3, 1],
],
'upsample_scale_factor': 1,
},
'cross_keypoints_fusion_param' : {
'trainable': True,
'init_adjacent_matrix': True,
},
'temporal_keypoints_fusion_param' :{
'num_history': 9,
'num_blocks': 4,
},
'handpose_encoder_param' : {
'num_head': 4,
'dim_feedforward': 1024,
'num_layers': 4,
}
}
large2_setting = {
'spatial_encoder_param' : {
'last_channel': 128,
'interverted_residual_setting': [
# t, c, n, s
[1, 16, 1, 1],
[6, 24, 2, 2],
[6, 32, 3, 2],
[6, 64, 4, 1],
[6, 96, 3, 1],
[6, 160, 3, 2],
[6, 320, 1, 1],
],
'upsample_scale_factor': 10,
},
'keypoints_encoder_param' : {
'interverted_residual_setting': [
# t, c, n, s
[1, 16, 1, 1],
[6, 24, 2, 1],
[6, 32, 3, 1],
[6, 64, 4, 1],
[6, 96, 3, 1],
[6, 160, 3, 1],
[6, 320, 1, 1],
],
'upsample_scale_factor': 1,
},
'cross_keypoints_fusion_param' : {
'trainable': True,
'init_adjacent_matrix': True,
},
'temporal_keypoints_fusion_param' :{
'num_history': 9,
'num_blocks': 4,
},
'handpose_encoder_param' : {
'num_head': 4,
'dim_feedforward': 1024,
'num_layers': 4,
}
}
small_setting = {
'spatial_encoder_param': {
'last_channel': 128,
'interverted_residual_setting': [
# t, c, n, s
[1, 16, 1, 1],
[6, 24, 2, 2],
[6, 32, 3, 1],
],
'upsample_scale_factor': 1,
},
'keypoints_encoder_param' : {
'interverted_residual_setting': [
# t, c, n, s
[1, 4, 1, 2],
[6, 8, 2, 2],
[6, 16, 3, 1],
],
'upsample_scale_factor': 1,
},
'cross_keypoints_fusion_param' : {
'trainable': True,
'init_adjacent_matrix': True,
},
'temporal_keypoints_fusion_param' :{
'num_history': 9,
'num_blocks': 4,
},
'handpose_encoder_param' : {
'num_head': 2,
'dim_feedforward': 512,
'num_layers': 3,
}
}