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@@ -141,6 +141,15 @@ For inference, a preprocessing as close as possible should be used. Refer to the
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  #### Speeds, Sizes, Times
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  ## Evaluation
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  #### Speeds, Sizes, Times
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+ The **FRACTAL-LidarHD_7cl_randlanet** model was trained on an in-house HPC cluster.
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+ 6 V100 GPUs were used (2 nodes, 3 GPUS per node). With this configuration the approximate learning time is 30 minutes per epoch.
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+ The model was obtained for num_epoch=21 with corresponding val_loss=0.112.
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+ <div style="position: relative; text-align: center;">
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+ <p style="margin: 0;">TRAIN loss</p>
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+ <img src="FRACTAL-LidarHD_7cl_randlanet-train_val_losses.excalidraw.png" alt="train and val losses" style="width: 60%; display: block; margin: 0 auto;"/>
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+ </div>
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  ## Evaluation
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