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Explainanbility for S3DIS #1

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suurajroshan opened this issue Jun 28, 2024 · 0 comments
Open

Explainanbility for S3DIS #1

suurajroshan opened this issue Jun 28, 2024 · 0 comments

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@suurajroshan
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suurajroshan commented Jun 28, 2024

Thank you for making your code public. I'm trying to implement your code for S3DIS and had some questions. If I'm not wrong in the RandLANet the code

        cam = PowerCAM(net, batch_data, cfg, norm=True, cls=8, mode='counterfactual', mask_type='none')
        num_points = cam.runCAM()
        print(num_points)

is what computes the heatmaps? From what I was able to interpret, the rest of the code was for the training of SemanticKitti model, whereas I already have a trained S3DIS model.

(Also, if it helps I'm implementing the same for the DGCNN model.)

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