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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: ​21December 2018+Uploaded: ​18February 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.