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cryolo_nets [2018/12/18 15:16]
twagner [Introduction]
cryolo_nets [2018/12/21 15:16]
twagner [Network #3 PhosaurusNet]
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 ==== Network #3 PhosaurusNet ==== ==== Network #3 PhosaurusNet ====
-At some point, we realized that the patch mode introduced a problem on images ​on with particles on carbon ​edges: CrYOLO picked sometimes particles on the carbon edge. As with patch mode, the network did not see the complete micrograph anymore, which made it harder to reliably detect the carbon edge. Moreover, passing multiple patches through the network is computationally more expensive as processing whole micrograph in a single pass. We had another idea to circumvent this problem which combines the advantages of the crYOLO and the YOLO networks. PhosaurusNet upscales the feature map after layer 21 by a factor of two and then concatenates the feature map of layer 13. This network finally picked small particles, generalized well for our training data, does not pick on the carbon edge, still sees the complete micrograph and is faster.+At some point, we realized that the patch mode introduced a problem on images with particles on the carbon ​edge: CrYOLO picked sometimes particles on the carbon edge. As with patch mode, the network did not see the complete micrograph anymore, which made it harder to reliably detect the carbon edge. Moreover, passing multiple patches through the network is computationally more expensive as processing whole micrograph in a single pass. We had another idea to circumvent this problem which combines the advantages of the crYOLO and the YOLO networks. PhosaurusNet upscales the feature map after layer 21 by a factor of two and then concatenates the feature map of layer 13. This network finally picked small particles, generalized well for our training data, does not pick on the carbon edge, still sees the complete micrograph and is faster.
 {{ :​phosaurus.png?​600 |}} {{ :​phosaurus.png?​600 |}}
 We recommend to use this network for single particle picking. For picking filaments, YOLO in patch mode still seems to work better. We recommend to use this network for single particle picking. For picking filaments, YOLO in patch mode still seems to work better.