mirror of
https://github.com/huchenlei/HandRefinerPortable.git
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139 lines
3.0 KiB
Python
139 lines
3.0 KiB
Python
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# ------------------------------------------------------------------------------
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# Copyright (c) Microsoft
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# Licensed under the MIT License.
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# Written by Bin Xiao (Bin.Xiao@microsoft.com)
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# Modified by Ke Sun (sunk@mail.ustc.edu.cn)
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# ------------------------------------------------------------------------------
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import os
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from yacs.config import CfgNode as CN
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_C = CN()
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_C.OUTPUT_DIR = ''
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_C.LOG_DIR = ''
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_C.DATA_DIR = ''
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_C.GPUS = (0,)
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_C.WORKERS = 4
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_C.PRINT_FREQ = 20
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_C.AUTO_RESUME = False
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_C.PIN_MEMORY = True
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_C.RANK = 0
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# Cudnn related params
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_C.CUDNN = CN()
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_C.CUDNN.BENCHMARK = True
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_C.CUDNN.DETERMINISTIC = False
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_C.CUDNN.ENABLED = True
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# common params for NETWORK
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_C.MODEL = CN()
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_C.MODEL.NAME = 'cls_hrnet'
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_C.MODEL.INIT_WEIGHTS = True
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_C.MODEL.PRETRAINED = ''
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_C.MODEL.NUM_JOINTS = 17
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_C.MODEL.NUM_CLASSES = 1000
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_C.MODEL.TAG_PER_JOINT = True
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_C.MODEL.TARGET_TYPE = 'gaussian'
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_C.MODEL.IMAGE_SIZE = [256, 256] # width * height, ex: 192 * 256
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_C.MODEL.HEATMAP_SIZE = [64, 64] # width * height, ex: 24 * 32
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_C.MODEL.SIGMA = 2
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_C.MODEL.EXTRA = CN(new_allowed=True)
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_C.LOSS = CN()
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_C.LOSS.USE_OHKM = False
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_C.LOSS.TOPK = 8
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_C.LOSS.USE_TARGET_WEIGHT = True
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_C.LOSS.USE_DIFFERENT_JOINTS_WEIGHT = False
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# DATASET related params
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_C.DATASET = CN()
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_C.DATASET.ROOT = ''
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_C.DATASET.DATASET = 'mpii'
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_C.DATASET.TRAIN_SET = 'train'
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_C.DATASET.TEST_SET = 'valid'
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_C.DATASET.DATA_FORMAT = 'jpg'
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_C.DATASET.HYBRID_JOINTS_TYPE = ''
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_C.DATASET.SELECT_DATA = False
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# training data augmentation
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_C.DATASET.FLIP = True
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_C.DATASET.SCALE_FACTOR = 0.25
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_C.DATASET.ROT_FACTOR = 30
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_C.DATASET.PROB_HALF_BODY = 0.0
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_C.DATASET.NUM_JOINTS_HALF_BODY = 8
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_C.DATASET.COLOR_RGB = False
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# train
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_C.TRAIN = CN()
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_C.TRAIN.LR_FACTOR = 0.1
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_C.TRAIN.LR_STEP = [90, 110]
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_C.TRAIN.LR = 0.001
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_C.TRAIN.OPTIMIZER = 'adam'
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_C.TRAIN.MOMENTUM = 0.9
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_C.TRAIN.WD = 0.0001
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_C.TRAIN.NESTEROV = False
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_C.TRAIN.GAMMA1 = 0.99
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_C.TRAIN.GAMMA2 = 0.0
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_C.TRAIN.BEGIN_EPOCH = 0
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_C.TRAIN.END_EPOCH = 140
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_C.TRAIN.RESUME = False
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_C.TRAIN.CHECKPOINT = ''
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_C.TRAIN.BATCH_SIZE_PER_GPU = 32
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_C.TRAIN.SHUFFLE = True
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# testing
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_C.TEST = CN()
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# size of images for each device
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_C.TEST.BATCH_SIZE_PER_GPU = 32
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# Test Model Epoch
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_C.TEST.FLIP_TEST = False
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_C.TEST.POST_PROCESS = False
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_C.TEST.SHIFT_HEATMAP = False
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_C.TEST.USE_GT_BBOX = False
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# nms
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_C.TEST.IMAGE_THRE = 0.1
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_C.TEST.NMS_THRE = 0.6
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_C.TEST.SOFT_NMS = False
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_C.TEST.OKS_THRE = 0.5
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_C.TEST.IN_VIS_THRE = 0.0
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_C.TEST.COCO_BBOX_FILE = ''
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_C.TEST.BBOX_THRE = 1.0
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_C.TEST.MODEL_FILE = ''
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# debug
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_C.DEBUG = CN()
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_C.DEBUG.DEBUG = False
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_C.DEBUG.SAVE_BATCH_IMAGES_GT = False
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_C.DEBUG.SAVE_BATCH_IMAGES_PRED = False
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_C.DEBUG.SAVE_HEATMAPS_GT = False
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_C.DEBUG.SAVE_HEATMAPS_PRED = False
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def update_config(cfg, config_file):
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cfg.defrost()
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cfg.merge_from_file(config_file)
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cfg.freeze()
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if __name__ == '__main__':
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import sys
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with open(sys.argv[1], 'w') as f:
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print(_C, file=f)
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