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downloads:cryolo_1 [2019/02/12 16:46]
twagner
downloads:cryolo_1 [2019/02/18 10:17]
twagner [General PhosaurusNet model]
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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>
 +  * <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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   * crYOLO now saves the anchors which were used during training inside the .h5 file and takes care that the correct anchors are used during prediction.   * crYOLO now saves the anchors which were used during training inside the .h5 file and takes care that the correct anchors are used during prediction.
-  * LineEnhancer dependency is now installed via PyPi, as --follow-dependency-links is removed in pip 19.+  * [[https://pypi.org/project/lineenhancer|LineEnhancer]] dependency is now installed via PyPi, as --follow-dependency-links is removed in pip 19.
   * Fix Issue 9: Removed zignor dependency as it leads to problems for some users (Thanks to Jason Kaelber)   * Fix Issue 9: Removed zignor dependency as it leads to problems for some users (Thanks to Jason Kaelber)
   * Attempt to fix Issue 10: Removed opencv dependency which was connected to this problem (Thanks to Shaun Rawson)   * Attempt to fix Issue 10: Removed opencv dependency which was connected to this problem (Thanks to Shaun Rawson)
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 ==== General PhosaurusNet model ==== ==== General PhosaurusNet model ====
 +
 +**Version 20190218:**
 +- Added K3 apoferritin (Thanks to Shaun Rawson)
 +- Added two more 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.
downloads/cryolo_1.txt ยท Last modified: 2021/02/19 09:43 by twagner