Closed nanle771 closed 1 year ago
Perhaps you could decrease the learning rate and batch size while increasing the number of iterations accordingly. For example, BASE_LR: 0.0000125, IMS_PER_BATCH: 1, MAX_ITER: 160000, STEPS: (112000,)
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If you want to hide the class and score, please modify the draw_instance_predictions function on line 50 of visualizer.py.
How can I replicate similar results on only one GPU? What parameters need to be modified? Can I display only the segmentation mask (without categories and scores) when running the demo.py for visualization? Thank you!