Pre train results#24
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Thanks Puru. For the image with falling bottles, I think we achieved the objective of fixing the alignment recognition. But for other images, there seems to be a lot of false positives in the background or on container labels. How does mAP metric penalize false positives? Since this method is working (overfitting) for bottles, I have a lot of hopes that we can improve performance on cereal box and chip bags dramatically. Right now, COCO pre-trained does not do so well. |
lmtoan
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Feb 6, 2019
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I can work on arranging the before (COCO weights) and after (CloMask weights) image arrangement for better visual
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This PR adds Inference notebook for preliminary pre-trained models result on validation data.