58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
from display_utils import display_model
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from label import get_label
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import sys
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import os
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import re
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from tqdm import tqdm
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import numpy as np
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import pickle
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sys.path.append(os.getcwd())
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def create_dir_not_exist(path):
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if not os.path.exists(path):
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os.mkdir(path)
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def save_pic(res, smpl_layer, file, logger, dataset_name, target):
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_, _, verts, Jtr = res
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file_name = re.split('[/.]', file)[-2]
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fit_path = "fit/output/{}/picture/{}".format(dataset_name, file_name)
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create_dir_not_exist(fit_path)
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logger.info('Saving pictures at {}'.format(fit_path))
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for i in tqdm(range(Jtr.shape[0])):
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display_model(
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{'verts': verts.cpu().detach(),
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'joints': Jtr.cpu().detach()},
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model_faces=smpl_layer.th_faces,
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with_joints=True,
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kintree_table=smpl_layer.kintree_table,
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savepath=os.path.join(fit_path+"/frame_{}".format(i)),
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batch_idx=i,
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show=False,
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only_joint=True)
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logger.info('Pictures saved')
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def save_params(res, file, logger, dataset_name):
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pose_params, shape_params, verts, Jtr = res
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file_name = re.split('[/.]', file)[-2]
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fit_path = "fit/output/{}/".format(dataset_name)
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create_dir_not_exist(fit_path)
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logger.info('Saving params at {}'.format(fit_path))
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label = get_label(file_name, dataset_name)
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pose_params = (pose_params.cpu().detach()).numpy().tolist()
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shape_params = (shape_params.cpu().detach()).numpy().tolist()
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Jtr = (Jtr.cpu().detach()).numpy().tolist()
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verts = (verts.cpu().detach()).numpy().tolist()
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params = {}
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params["label"] = label
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params["pose_params"] = pose_params
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params["shape_params"] = shape_params
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params["Jtr"] = Jtr
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print("label:{}".format(label))
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with open(os.path.join((fit_path),
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"{}_params.pkl".format(file_name)), 'wb') as f:
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pickle.dump(params, f)
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