microsoft
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multiview-human-pose-estimation-pytorch
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removed configuration files for philly

This commit is contained in:
chunyuwang 2019-08-29 15:58:21 +08:00
Родитель d128ae6479
Коммит 04aca888eb
23 изменённых файлов: 0 добавлений и 1899 удалений
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84
experiments-local/mixed/resnet_anti_50/256_fusion.yaml
Просмотреть файл

@ -1,84 +0,0 @@
GPUS: '0'
BACKBONE_MODEL: pose_resnet_antialiased
MODEL: multiview_pose_resnet_antialiased
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 4
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: 'data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet50_lpf3.pth.tar'
TARGET_TYPE: gaussian
AGGRE: true
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 8
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
PICT_STRUCT:
PAIRWISE_FILE: 'data/pict/pairwise.pkl'
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

84
experiments-local/mixed/test/mixed_test.yaml
Просмотреть файл

@ -1,84 +0,0 @@
GPUS: '0'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 8
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TRAIN_SUBSET: train
TEST_DATASET: multiview_h36m
TEST_SUBSET: validation
ROOT: 'data/'
DATA_FORMAT: 'jpg'
ROT_FACTOR: 0
SCALE_FACTOR: 0
ROOTIDX: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 152
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 8
SHUFFLE: true
MODEL_FILE: 'models/pytorch/multiview_pose_resnet/multiview_pose_resnet152_mixed_noaggre_best.pth.tar'
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: false
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 8
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

85
experiments-philly/mixed/hrnet/256_fusion.yaml
Просмотреть файл

@ -1,85 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_hrnet
MODEL: multiview_pose_hrnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/hrnet_w48-8ef0771d.pth'
TARGET_TYPE: gaussian
AGGRE: true
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 8
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
PICT_STRUCT:
FIRST_NBINS: 16
PAIRWISE_FILE: 'data/pict/pairwise.pkl'
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

86
experiments-philly/mixed/hrnet/256_fusion_nocrop.yaml
Просмотреть файл

@ -1,86 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_hrnet
MODEL: multiview_pose_hrnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
CROP: False
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/hrnet_w48-8ef0771d.pth'
TARGET_TYPE: gaussian
AGGRE: true
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 8
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
PICT_STRUCT:
FIRST_NBINS: 16
PAIRWISE_FILE: 'data/pict/pairwise.pkl'
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/mobilenetv2/256_fusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_mobilenetv2
MODEL: multiview_pose_mobilenetv2
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/mobilenet_v2.pth.tar'
TARGET_TYPE: gaussian
AGGRE: true
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 8
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/mobilenetv2/256_nofusion.yaml
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@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_mobilenetv2
MODEL: multiview_pose_mobilenetv2
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/mobilenet_v2.pth.tar'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 8
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/mobilenetv2/320_fusion.yaml
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@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_mobilenetv2
MODEL: multiview_pose_mobilenetv2
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/mobilenet_v2.pth.tar'
TARGET_TYPE: gaussian
AGGRE: true
HEATMAP_SIZE:
- 80
- 80
IMAGE_SIZE:
- 320
- 320
NUM_JOINTS: 20
SIGMA: 3
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 4
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/mobilenetv2/320_nofusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_mobilenetv2
MODEL: multiview_pose_mobilenetv2
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/mobilenet_v2.pth.tar'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 80
- 80
IMAGE_SIZE:
- 320
- 320
NUM_JOINTS: 20
SIGMA: 3
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 4
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/resnet152/256_fusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
TARGET_TYPE: gaussian
AGGRE: true
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 152
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 4
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/resnet152/256_nofusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 152
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 4
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/resnet152/320_fusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
TARGET_TYPE: gaussian
AGGRE: true
HEATMAP_SIZE:
- 80
- 80
IMAGE_SIZE:
- 320
- 320
NUM_JOINTS: 20
SIGMA: 3
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 152
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 2
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 2
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/resnet152/320_nofusion.yaml
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@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 80
- 80
IMAGE_SIZE:
- 320
- 320
NUM_JOINTS: 20
SIGMA: 3
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 152
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 2
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 2
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/resnet50/256_fusion.yaml
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@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet50-19c8e357.pth'
TARGET_TYPE: gaussian
AGGRE: true
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 4
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/resnet50/256_nofusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet50-19c8e357.pth'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 4
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/resnet50/320_fusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet50-19c8e357.pth'
TARGET_TYPE: gaussian
AGGRE: true
HEATMAP_SIZE:
- 80
- 80
IMAGE_SIZE:
- 320
- 320
NUM_JOINTS: 20
SIGMA: 3
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 2
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 2
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mixed/resnet50/320_nofusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet50-19c8e357.pth'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 80
- 80
IMAGE_SIZE:
- 320
- 320
NUM_JOINTS: 20
SIGMA: 3
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 2
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 2
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

84
experiments-philly/mixed/test/mixed_test.yaml
Просмотреть файл

@ -1,84 +0,0 @@
GPUS: '0'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 8
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: mixed
TRAIN_SUBSET: train
TEST_DATASET: multiview_h36m
TEST_SUBSET: validation
ROOT: 'data/'
DATA_FORMAT: 'jpg'
ROT_FACTOR: 0
SCALE_FACTOR: 0
ROOTIDX: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 152
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 8
SHUFFLE: true
MODEL_FILE: 'models/pytorch/multiview_pose_resnet/multiview_pose_resnet152_mixed_noaggre_best.pth.tar'
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: false
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 20
- 25
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 8
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mpii/mobilenetv2/256_nofusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_mobilenetv2
MODEL: multiview_pose_mobilenetv2
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: multiview_mpii
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/mobilenet_v2.pth.tar'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 8
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 140
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 90
- 120
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mpii/mobilenetv2/320_nofusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_mobilenetv2
MODEL: multiview_pose_mobilenetv2
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: multiview_mpii
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/mobilenet_v2.pth.tar'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 80
- 80
IMAGE_SIZE:
- 320
- 320
NUM_JOINTS: 20
SIGMA: 3
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 4
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 140
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 90
- 120
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mpii/resnet152/256_nofusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: multiview_mpii
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 152
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 4
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 140
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 90
- 120
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mpii/resnet152/320_nofusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: multiview_mpii
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 80
- 80
IMAGE_SIZE:
- 320
- 320
NUM_JOINTS: 20
SIGMA: 3
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 152
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 2
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 140
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 90
- 120
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 2
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

82
experiments-philly/mpii/resnet50/256_nofusion.yaml
Просмотреть файл

@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: multiview_mpii
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet50-19c8e357.pth'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 64
- 64
IMAGE_SIZE:
- 256
- 256
NUM_JOINTS: 20
SIGMA: 2
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 4
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 140
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 90
- 120
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 4
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true

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experiments-philly/mpii/resnet50/320_nofusion.yaml
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@ -1,82 +0,0 @@
GPUS: '0,1,2,3'
BACKBONE_MODEL: pose_resnet
MODEL: multiview_pose_resnet
DATA_DIR: ''
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
TRAIN_DATASET: multiview_mpii
TEST_DATASET: multiview_h36m
ROOT: '../mixed_data/'
TRAIN_SUBSET: train
TEST_SUBSET: validation
DATA_FORMAT: 'zip'
ROT_FACTOR: 0
SCALE_FACTOR: 0
NETWORK:
PRETRAINED: 'models/pytorch/imagenet/resnet50-19c8e357.pth'
TARGET_TYPE: gaussian
AGGRE: false
HEATMAP_SIZE:
- 80
- 80
IMAGE_SIZE:
- 320
- 320
NUM_JOINTS: 20
SIGMA: 3
POSE_RESNET:
FINAL_CONV_KERNEL: 1
DECONV_WITH_BIAS: false
NUM_DECONV_LAYERS: 3
NUM_DECONV_FILTERS:
- 256
- 256
- 256
NUM_DECONV_KERNELS:
- 4
- 4
- 4
NUM_LAYERS: 50
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 2
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 140
RESUME: true
OPTIMIZER: adam
LR: 0.001
LR_FACTOR: 0.1
LR_STEP:
- 90
- 120
WD: 0.0001
GAMMA1: 0.99
GAMMA2: 0.0
MOMENTUM: 0.9
NESTEROV: false
TEST:
BATCH_SIZE: 2
BBOX_FILE: ''
BBOX_THRE: 1.0
DETECTOR: fpn_dcn
DETECTOR_DIR: ''
IMAGE_THRE: 0.1
IN_VIS_THRE: 0.0
MATCH_IOU_THRE: 0.3
MODEL_FILE: ''
NMS_THRE: 0.6
OKS_THRE: 0.5
POST_PROCESS: false
USE_GT_BBOX: true
DEBUG:
DEBUG: true
SAVE_BATCH_IMAGES_GT: true
SAVE_BATCH_IMAGES_PRED: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true