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tamasino52 committed Apr 19, 2021
1 parent 1d21e25 commit 75be8e9
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83 changes: 83 additions & 0 deletions configs/campus/prn32_cpn80x80x20.yaml
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CUDNN:
BENCHMARK: true
DETERMINISTIC: false
ENABLED: true
BACKBONE_MODEL: ''
MODEL: 'multi_person_posenet'
DATA_DIR: ''
GPUS: '0'
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 4
PRINT_FREQ: 100

DATASET:
COLOR_RGB: True
TRAIN_DATASET: 'campus_synthetic'
TEST_DATASET: 'campus'
DATA_FORMAT: png
DATA_AUGMENTATION: False
FLIP: False
ROOT: 'data/CampusSeq1'
ROT_FACTOR: 45
SCALE_FACTOR: 0.35
TEST_SUBSET: 'validation'
TRAIN_SUBSET: 'train'
ROOTIDX:
- 2
- 3
CAMERA_NUM: 3
NETWORK:
PRETRAINED_BACKBONE: ''
PRETRAINED: '' # 'models/pytorch/imagenet/resnet50-19c8e357.pth'
TARGET_TYPE: gaussian
IMAGE_SIZE:
- 800
- 640
HEATMAP_SIZE:
- 200
- 160
SIGMA: 3
NUM_JOINTS: 17
USE_GT: False
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 4
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.0001
TEST:
MODEL_FILE: "model_best.pth.tar"
BATCH_SIZE: 4
DEBUG:
DEBUG: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true
MULTI_PERSON:
SPACE_SIZE:
- 12000.0
- 12000.0
- 2000.0
SPACE_CENTER:
- 3000.0
- 4500.0
- 1000.0
INITIAL_CUBE_SIZE:
- 80
- 80
- 20
MAX_PEOPLE_NUM: 10
THRESHOLD: 0.1
PICT_STRUCT:
GRID_SIZE:
- 2000.0
- 2000.0
- 2000.0
CUBE_SIZE:
- 32
- 32
- 32
83 changes: 83 additions & 0 deletions configs/campus/prn64_cpn80x80x20.yaml
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CUDNN:
BENCHMARK: true
DETERMINISTIC: false
ENABLED: true
BACKBONE_MODEL: ''
MODEL: 'multi_person_posenet'
DATA_DIR: ''
GPUS: '0'
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 4
PRINT_FREQ: 100

DATASET:
COLOR_RGB: True
TRAIN_DATASET: 'campus_synthetic'
TEST_DATASET: 'campus'
DATA_FORMAT: png
DATA_AUGMENTATION: False
FLIP: False
ROOT: 'data/CampusSeq1'
ROT_FACTOR: 45
SCALE_FACTOR: 0.35
TEST_SUBSET: 'validation'
TRAIN_SUBSET: 'train'
ROOTIDX:
- 2
- 3
CAMERA_NUM: 3
NETWORK:
PRETRAINED_BACKBONE: ''
PRETRAINED: '' # 'models/pytorch/imagenet/resnet50-19c8e357.pth'
TARGET_TYPE: gaussian
IMAGE_SIZE:
- 800
- 640
HEATMAP_SIZE:
- 200
- 160
SIGMA: 3
NUM_JOINTS: 17
USE_GT: False
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 1
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.0001
TEST:
MODEL_FILE: "model_best.pth.tar"
BATCH_SIZE: 4
DEBUG:
DEBUG: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true
MULTI_PERSON:
SPACE_SIZE:
- 12000.0
- 12000.0
- 2000.0
SPACE_CENTER:
- 3000.0
- 4500.0
- 1000.0
INITIAL_CUBE_SIZE:
- 80
- 80
- 20
MAX_PEOPLE_NUM: 10
THRESHOLD: 0.1
PICT_STRUCT:
GRID_SIZE:
- 2000.0
- 2000.0
- 2000.0
CUBE_SIZE:
- 64
- 64
- 64
84 changes: 84 additions & 0 deletions configs/panoptic/resnet50/unetr_embed786_cam5_.yaml
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CUDNN:
BENCHMARK: true
DETERMINISTIC: false
ENABLED: true
BACKBONE_MODEL: 'pose_resnet'
MODEL: 'multi_person_posenet'
DATA_DIR: ''
GPUS: '0,1'
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 16
PRINT_FREQ: 100
DATASET:
COLOR_RGB: True
TRAIN_DATASET: 'panoptic'
TEST_DATASET: 'panoptic'
DATA_FORMAT: jpg
DATA_AUGMENTATION: False
FLIP: False
ROOT: 'data/panoptic-toolbox/data/' # 'data/panoptic/'
ROT_FACTOR: 45
SCALE_FACTOR: 0.35
TEST_SUBSET: 'validation'
TRAIN_SUBSET: 'train'
ROOTIDX: 2
CAMERA_NUM: 5
NETWORK:
PRETRAINED_BACKBONE: "models/pose_resnet50_panoptic.pth.tar"
PRETRAINED: '' # 'models/pytorch/imagenet/resnet50-19c8e357.pth'
TARGET_TYPE: gaussian
IMAGE_SIZE:
- 960
- 512
HEATMAP_SIZE:
- 240
- 128
SIGMA: 3
NUM_JOINTS: 15
USE_GT: False
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: 1
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 10
RESUME: true
OPTIMIZER: adam
LR: 0.0001
TEST:
MODEL_FILE: 'model_best.pth.tar'
BATCH_SIZE: 1
DEBUG:
DEBUG: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true
PICT_STRUCT:
GRID_SIZE:
- 2000.0
- 2000.0
- 2000.0
CUBE_SIZE:
- 64
- 64
- 64
ORIGINAL: false
TRANSFORMER:
PATCH_SIZE: 16
EMBEDDING_SIZE: 768
NUM_HEADS: 4
DROPOUT: 0.1
83 changes: 83 additions & 0 deletions configs/shelf/prn32_cpn48x48x12.yaml
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CUDNN:
BENCHMARK: true
DETERMINISTIC: false
ENABLED: true
BACKBONE_MODEL: ''
MODEL: 'multi_person_posenet'
DATA_DIR: ''
GPUS: '0'
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 4
PRINT_FREQ: 100

DATASET:
COLOR_RGB: True
TRAIN_DATASET: 'shelf_synthetic'
TEST_DATASET: 'shelf'
DATA_FORMAT: jpg
DATA_AUGMENTATION: False
FLIP: False
ROOT: 'data/Shelf'
ROT_FACTOR: 45
SCALE_FACTOR: 0.35
TEST_SUBSET: 'validation'
TRAIN_SUBSET: 'train'
ROOTIDX:
- 2
- 3
CAMERA_NUM: 5
NETWORK:
PRETRAINED_BACKBONE: ''
PRETRAINED: '' # 'models/pytorch/imagenet/resnet50-19c8e357.pth'
TARGET_TYPE: gaussian
IMAGE_SIZE:
- 800
- 608
HEATMAP_SIZE:
- 200
- 152
SIGMA: 3
NUM_JOINTS: 17
USE_GT: False
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE: 2
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 30
RESUME: true
OPTIMIZER: adam
LR: 0.0001
TEST:
MODEL_FILE: "model_best.pth.tar"
BATCH_SIZE: 4
DEBUG:
DEBUG: true
SAVE_HEATMAPS_GT: true
SAVE_HEATMAPS_PRED: true
MULTI_PERSON:
SPACE_SIZE:
- 8000.0
- 8000.0
- 2000.0
SPACE_CENTER:
- 450.0 # 120.0
- -320.0 # -600.0
- 800.0
INITIAL_CUBE_SIZE:
- 48
- 48
- 12
MAX_PEOPLE_NUM: 10
THRESHOLD: 0.1
PICT_STRUCT:
GRID_SIZE:
- 2000.0
- 2000.0
- 2000.0
CUBE_SIZE:
- 32
- 32
- 32
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