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Evaluation Metrics

Vanilla Metrics

Including Chamfer-L2 Distance, F-score and Normal Consistency Score.

Run the script:

    cd vanilla_metric
    python eval_two_folder.py --eval_type syn_obj --in_dir DIR_to_THE_INPUT --gt_dir DIR_to_GROUND_TRUTH --samplepoints 200000 --out_csv test.csv

The results could be recorded in test.csv

Neural Metrics

Use the pretrained model to evaluate

    cd vanilla_metric
    python eval_two_folder.py --eval_type syn_obj --in_dir DIR_to_THE_INPUT --gt_dir DIR_to_GROUND_TRUTH --model_dir DIR_to_MODEL --out_csv test.csv

Train the network

    cd vanilla_metric
    python Train.py --name MODEL_NAME_to_SAVE

The results could be recorded in test.csv