Support HAA4D
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@ -19,7 +19,7 @@ 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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os.makedirs(fit_path,exist_ok=True)
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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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@ -28,7 +28,7 @@ def save_pic(res, smpl_layer, file, logger, dataset_name, target):
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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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savepath=os.path.join(fit_path+"/frame_{:0>4d}".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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@ -55,3 +55,21 @@ def save_params(res, file, logger, dataset_name):
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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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def save_single_pic(res, smpl_layer, epoch, logger, dataset_name, target):
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_, _, verts, Jtr = res
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fit_path = "fit/output/{}/picture".format(dataset_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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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=fit_path+"/epoch_{:0>4d}".format(epoch),
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batch_idx=60,
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show=False,
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only_joint=False)
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logger.info('Picture saved')
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