<jupyter_start><jupyter_text>Novel View Synthesis with Skip ConnectionsThis notebook gives an example for training. For the efficiency, we used multiprocessing. Required parameters are all written down in config file. Please refer it.<jupyter_code>%load_ext autoreload
%autoreload 2
import warnings
warnings.simplefilter(action='ignore', category=FutureWarning)<jupyter_output><empty_output><jupyter_text>TrainingFor training, use `train_all_using_multiprocessing` function.<jupyter_code>from main import *
train_all_using_multiprocessing("configs/config_examples/train_config_synthia_pg.json")<jupyter_output><empty_output><jupyter_text>TestingFor testing, use `test_all_using_multiprocessing` function.<jupyter_code>test_all_using_multiprocessing("configs/config_examples/test_config_synthia_pg.json")<jupyter_output><empty_output><jupyter_text>If you want to export images, please use `test_and_export_picture_for_models_using_multiprocessing` function<jupyter_code>test_and_export_picture_for_models_using_multiprocessing("configs/config_examples/export_image_config_synthia_pg.json")<jupyter_output><empty_output>
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