1.4 KiB
Object Part Segmentation on ShapeNetPart
Data
ShapeNetPart dataset can be downloaded here (635 MB). Uncompress the folder and move it to Data/ShapeNetPart/shapenetcore_partanno_segmentation_benchmark_v0.
Training
Simply run the following script to start the training:
python3 training_ShapeNetPart.py
Similarly to ModelNet40 training, the parameters can be modified in a configuration subclass called ShapeNetPartConfig, and the first run of this script might take some time to precompute dataset structures.
Plot a logged training
When you start a new training, it is saved in a results folder. A dated log folder will be created, containing many information including loss values, validation metrics, model checkpoints, etc.
In plot_convergence.py, you will find detailed comments explaining how to choose which training log you want to plot. Follow them and then run the script :
python3 plot_convergence.py
Test the trained model
The test script is the same for all models (segmentation or classification). In test_any_model.py, you will find detailed comments explaining how to choose which logged trained model you want to test. Follow them and then run the script :
python3 test_any_model.py