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Focus #847
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Hello @ycdhqzhiai, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Jupyter Notebook If this is a bug report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you. If this is a custom model or data training question, please note Ultralytics does not provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:
For more information please visit https://www.ultralytics.com. |
+1 |
Focus() module is designed for FLOPS reduction and speed increase, not mAP increase. |
Also designed for layer count reduction. 1 Focus module replaces 3 yolov3/4 layers. |
I have a question concerning the focus layer: while it reduces the computation cost, does the "stride" sampling mess the coordinates of the ground truth bounding box ? |
@captainst Focus (and it's new v6.0 replacement) stack spatial information into channel space, so it's possible 1 pixel's worth of regression information may be reduced, though for most use cases regression accuracies will never approach 1 pixel anyway. |
@glenn-jocher Many thanks. Now I appreciate why the focus layer is appied only once on the raw input image in the very beginning of the pipeline. |
@captainst yes, for classification models it might be more usable later on in the backbone, but probably not for detection models without losing mAP@0.5:0.95 (mAP@0.5 would be less affected). |
❔Question
I'd like to know how much effect the removal of Focus structure will have on map. Has anyone tried it
Additional context
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