shapenet/evaluation/eval.py [26:46]:
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    device = torch.device("cuda:0")
    # evaluation
    class_names = {
        "02828884": "bench",
        "03001627": "chair",
        "03636649": "lamp",
        "03691459": "speaker",
        "04090263": "firearm",
        "04379243": "table",
        "04530566": "watercraft",
        "02691156": "plane",
        "02933112": "cabinet",
        "02958343": "car",
        "03211117": "monitor",
        "04256520": "couch",
        "04401088": "cellphone",
    }

    num_instances = {i: 0 for i in class_names}
    chamfer = {i: 0 for i in class_names}
    normal = {i: 0 for i in class_names}
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shapenet/evaluation/eval.py [97:117]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    device = torch.device("cuda:0")
    # evaluation
    class_names = {
        "02828884": "bench",
        "03001627": "chair",
        "03636649": "lamp",
        "03691459": "speaker",
        "04090263": "firearm",
        "04379243": "table",
        "04530566": "watercraft",
        "02691156": "plane",
        "02933112": "cabinet",
        "02958343": "car",
        "03211117": "monitor",
        "04256520": "couch",
        "04401088": "cellphone",
    }

    num_instances = {i: 0 for i in class_names}
    chamfer = {i: 0 for i in class_names}
    normal = {i: 0 for i in class_names}
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -