SMPLX/transfer_model/data/build.py

# -*- coding: utf-8 -*-

# Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG) is
# holder of all proprietary rights on this computer program.
# You can only use this computer program if you have closed
# a license agreement with MPG or you get the right to use the computer
# program from someone who is authorized to grant you that right.
# Any use of the computer program without a valid license is prohibited and
# liable to prosecution.
#
# Copyright©2020 Max-Planck-Gesellschaft zur Förderung
# der Wissenschaften e.V. (MPG). acting on behalf of its Max Planck Institute
# for Intelligent Systems. All rights reserved.
#
# Contact: Vassilis Choutas, vassilis.choutas@tuebingen.mpg.de

from typing import List, Tuple
import sys

import torch
import torch.utils.data as dutils
from .datasets import MeshFolder

from loguru import logger

def build_dataloader(datasets):
    mesh_folder_cfg = datasets["mesh_folder"]
    key, *_ = mesh_folder_cfg.keys()
    value = mesh_folder_cfg[key]
    logger.info(f'{key}: {value}\n')
    dataset = MeshFolder(**mesh_folder_cfg)

    batch_size = datasets["batch_size"]
    num_workers = 1

    logger.info(
        f'Creating dataloader with B={batch_size}, workers={num_workers}')
    dataloader = dutils.DataLoader(dataset,
                                   batch_size=batch_size,
                                   num_workers=num_workers,
                                   shuffle=False)

    return {'dataloader': dataloader, 'dataset': dataset}


# def build_dataloader(exp_cfg):
#     dset_name = exp_cfg.datasets.name
#     if dset_name == 'mesh-folder':
#         mesh_folder_cfg = exp_cfg.datasets.mesh_folder
#         key, *_ = mesh_folder_cfg.keys()
#         value = mesh_folder_cfg[key]
#         logger.info(f'{key}: {value}\n')
#         dataset = MeshFolder(**mesh_folder_cfg)
#     else:
#         raise ValueError(f'Unknown dataset: {dset_name}')

#     import pdb;pdb.set_trace()
#     batch_size = exp_cfg.batch_size
#     num_workers = exp_cfg.datasets.num_workers

#     logger.info(
#         f'Creating dataloader with B={batch_size}, workers={num_workers}')
#     dataloader = dutils.DataLoader(dataset,
#                                    batch_size=batch_size,
#                                    num_workers=num_workers,
#                                    shuffle=False)

#     return {'dataloader': dataloader, 'dataset': dataset}