This is the implementation of paper "point cloud colorization based on densely annotated 3d shape dataset".
Download prepared training data from this link and decompress it into the data
directory.
Just run:
python train.py
Hyperparameters are saved in base_config.ini
and could be tuned. Each time you train the model, a copy of the ini
file is saved in train_results/training time/
. The trained model parameters are saved in train_results/training time/category_name/model/
; the intermediate colorization results of training data and test data are saved in train_results/training time/category_name/logs/
.