MURAUER is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with MURAUER. If not, see <http://www.gnu.org/licenses/>. """ # Project specific import data.basetypes as basetypes # Other libs import numpy as np args = basetypes.Arguments() # How many (CPU) workers for loading data args.num_loader_workers = 5 # Model architecture specific parameters # Number of (base-)feature channels (usually increased after downsampling) args.num_features = 32 # Number of latent representation/embedding dimensions args.num_bottleneck_dim = 1024 # Number of additional input dimensions for the view prediction decoder args.num_cond_dims = 3 # Architecture of the discriminator args.discriminator_type = basetypes.DiscriminatorNetType.RESNET # Learning-rate decay
PreView is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PreView. If not, see <http://www.gnu.org/licenses/>. """ # Project specific import data.basetypes as basetypes from data.LoaderFactory import DatasetType from data.NyuHandPoseDataset import NyuAnnoType args_data = basetypes.Arguments() args_data.dataset_type = DatasetType.NYU # Change to point to the original NYU dataset args_data.nyu_data_basepath = "/path/to/NyuDataset/original_data" # If a "cache" should be used (=> faster loading/training), change the path args_data.use_pickled_cache = False args_data.nyu_data_basepath_pickled = "/path/to/NyuDataset/original_data_pickled" args_data.input_cam_id_train = 1 args_data.input_cam_id_test = 1 # frame IDs args_data.id_start_train, args_data.id_end_train = 29116, 72756 # 0-based IDs (largest part with approx. same setup)