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add config files for coco resnet
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Bin Xiao committed Mar 6, 2019
1 parent 1cc885b commit f8897aa
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83 changes: 83 additions & 0 deletions experiments/coco/resnet/res101_256x192_d256x3_adam_lr1e-3.yaml
@@ -0,0 +1,83 @@
AUTO_RESUME: true
CUDNN:
BENCHMARK: true
DETERMINISTIC: false
ENABLED: true
DATA_DIR: ''
GPUS: (0,1,2,3)
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 24
PRINT_FREQ: 100

DATASET:
COLOR_RGB: false
DATASET: 'coco'
ROOT: 'data/coco/'
TEST_SET: 'val2017'
TRAIN_SET: 'train2017'
FLIP: true
ROT_FACTOR: 40
SCALE_FACTOR: 0.3
MODEL:
NAME: 'pose_resnet'
PRETRAINED: 'models/pytorch/imagenet/resnet101-5d3b4d8f.pth'
IMAGE_SIZE:
- 192
- 256
HEATMAP_SIZE:
- 48
- 64
SIGMA: 2
NUM_JOINTS: 17
TARGET_TYPE: 'gaussian'
EXTRA:
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: 101
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE_PER_GPU: 32
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 140
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_PER_GPU: 32
COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
BBOX_THRE: 1.0
IMAGE_THRE: 0.0
IN_VIS_THRE: 0.2
MODEL_FILE: ''
NMS_THRE: 1.0
OKS_THRE: 0.9
FLIP_TEST: true
POST_PROCESS: true
SHIFT_HEATMAP: true
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
83 changes: 83 additions & 0 deletions experiments/coco/resnet/res101_384x288_d256x3_adam_lr1e-3.yaml
@@ -0,0 +1,83 @@
AUTO_RESUME: true
CUDNN:
BENCHMARK: true
DETERMINISTIC: false
ENABLED: true
DATA_DIR: ''
GPUS: (0,1,2,3)
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 24
PRINT_FREQ: 100

DATASET:
COLOR_RGB: false
DATASET: 'coco'
ROOT: 'data/coco/'
TEST_SET: 'val2017'
TRAIN_SET: 'train2017'
FLIP: true
ROT_FACTOR: 40
SCALE_FACTOR: 0.3
MODEL:
NAME: 'pose_resnet'
PRETRAINED: 'models/pytorch/imagenet/resnet101-5d3b4d8f.pth'
IMAGE_SIZE:
- 288
- 384
HEATMAP_SIZE:
- 72
- 96
SIGMA: 3
NUM_JOINTS: 17
TARGET_TYPE: 'gaussian'
EXTRA:
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: 101
LOSS:
USE_TARGET_WEIGHT: true
TRAIN:
BATCH_SIZE_PER_GPU: 32
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 140
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_PER_GPU: 32
COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
BBOX_THRE: 1.0
IMAGE_THRE: 0.0
IN_VIS_THRE: 0.2
MODEL_FILE: ''
NMS_THRE: 1.0
OKS_THRE: 0.9
FLIP_TEST: true
POST_PROCESS: true
SHIFT_HEATMAP: true
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
83 changes: 83 additions & 0 deletions experiments/coco/resnet/res152_256x192_d256x3_adam_lr1e-3.yaml
@@ -0,0 +1,83 @@
AUTO_RESUME: true
CUDNN:
BENCHMARK: true
DETERMINISTIC: false
ENABLED: true
DATA_DIR: ''
GPUS: (0,1,2,3)
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 24
PRINT_FREQ: 100

DATASET:
COLOR_RGB: false
DATASET: 'coco'
ROOT: 'data/coco/'
TEST_SET: 'val2017'
TRAIN_SET: 'train2017'
FLIP: true
ROT_FACTOR: 40
SCALE_FACTOR: 0.3
MODEL:
NAME: 'pose_resnet'
PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
IMAGE_SIZE:
- 192
- 256
HEATMAP_SIZE:
- 48
- 64
SIGMA: 2
NUM_JOINTS: 17
TARGET_TYPE: 'gaussian'
EXTRA:
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_PER_GPU: 32
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 140
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_PER_GPU: 32
COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
BBOX_THRE: 1.0
IMAGE_THRE: 0.0
IN_VIS_THRE: 0.2
MODEL_FILE: ''
NMS_THRE: 1.0
OKS_THRE: 0.9
FLIP_TEST: true
POST_PROCESS: true
SHIFT_HEATMAP: true
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
83 changes: 83 additions & 0 deletions experiments/coco/resnet/res152_384x288_d256x3_adam_lr1e-3.yaml
@@ -0,0 +1,83 @@
AUTO_RESUME: true
CUDNN:
BENCHMARK: true
DETERMINISTIC: false
ENABLED: true
DATA_DIR: ''
GPUS: (0,1,2,3)
OUTPUT_DIR: 'output'
LOG_DIR: 'log'
WORKERS: 24
PRINT_FREQ: 100

DATASET:
COLOR_RGB: false
DATASET: 'coco'
ROOT: 'data/coco/'
TEST_SET: 'val2017'
TRAIN_SET: 'train2017'
FLIP: true
ROT_FACTOR: 40
SCALE_FACTOR: 0.3
MODEL:
NAME: 'pose_resnet'
PRETRAINED: 'models/pytorch/imagenet/resnet152-b121ed2d.pth'
IMAGE_SIZE:
- 288
- 384
HEATMAP_SIZE:
- 72
- 96
SIGMA: 3
NUM_JOINTS: 17
TARGET_TYPE: 'gaussian'
EXTRA:
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_PER_GPU: 32
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 140
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_PER_GPU: 32
COCO_BBOX_FILE: 'data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json'
BBOX_THRE: 1.0
IMAGE_THRE: 0.0
IN_VIS_THRE: 0.2
MODEL_FILE: ''
NMS_THRE: 1.0
OKS_THRE: 0.9
FLIP_TEST: true
POST_PROCESS: true
SHIFT_HEATMAP: true
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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