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downloads:cryolo_1 [2019/02/13 16:23] twagner [Known issues] |
downloads:cryolo_1 [2019/02/18 10:22] (current) twagner [General PhosaurusNet model] |
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==== General PhosaurusNet model ==== | ==== General PhosaurusNet model ==== | ||
- | Number of datasets: 27 (real), 10 simulated, 10 particle free datasets on various grids with contaminations | + | Number of datasets: 30 (real), 10 simulated, 10 particle free datasets on various grids with contaminations |
- | Uploaded: 21. December 2018 | + | Uploaded: 18. February 2019 |
- | [[ftp://ftp.gwdg.de/pub/misc/sphire/crYOLO-GENERAL-MODELS/gmodel_phosnet_20181221_loss0037.h5 | + | [[ftp://ftp.gwdg.de/pub/misc/sphire/crYOLO-GENERAL-MODELS/gmodel_phosnet_20190218_loss0042.h5 |
|DOWNLOAD]] | |DOWNLOAD]] | ||
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* <del>Issue 10: On machines with many cores (e.g 64) an error during filtering might pop up: "[ERROR:0] 53: Can't spawn new thread"</del> | * <del>Issue 10: On machines with many cores (e.g 64) an error during filtering might pop up: "[ERROR:0] 53: Can't spawn new thread"</del> | ||
* <del>Issue 11: If the -g parameter is not provided, crYOLO will use the memory of all GPUs. Will be fixed in 1.2.3.</del> | * <del>Issue 11: If the -g parameter is not provided, crYOLO will use the memory of all GPUs. Will be fixed in 1.2.3.</del> | ||
- | * Issue 12: The LineEnhancer depdenceny of crYOLO is still dependent from opencv. Workaround: In the crYOLO environment: conda install opencv | + | * <del>Issue 12: The LineEnhancer depdenceny of crYOLO is still dependent from opencv. Workaround: In the crYOLO environment: conda install opencv</del> |
====== Change log ===== | ====== Change log ===== | ||
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==== General PhosaurusNet model ==== | ==== General PhosaurusNet model ==== | ||
+ | |||
+ | **Version 20190218:** | ||
+ | * Added K3 apoferritin (Thanks to Shaun Rawson) | ||
+ | * Added two more inhouse datasets | ||
+ | |||
+ | **Version 20181221:** | ||
Same datasets as the general YOLO network model version 20181120 but with trained with PhosaurusNet. | Same datasets as the general YOLO network model version 20181120 but with trained with PhosaurusNet. |