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cryolo_1_4_1 [2019/07/23 10:43]
twagner
cryolo_1_4_1 [2019/07/24 13:32] (current)
twagner
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 Changes: Changes:
-  * Changed the dependencies back to tensorflow 1.10.1 and numpy 1.14.5 as some users reported long initialization times. (Thanks to Shaun Rawson)+  * Downgrade the dependencies to tensorflow 1.10.1 and numpy 1.14.5 as some users reported long initialization times. (Thanks to Shaun Rawson)
   * The initialization weights are not longer shipped with the package and downloaded on-the-fly (because they are big and pypi does not allow such big packages)   * The initialization weights are not longer shipped with the package and downloaded on-the-fly (because they are big and pypi does not allow such big packages)
   * crYOLO is installed through pypi    * crYOLO is installed through pypi 
   * crYOLO box manager is installed through pypi and automatically shipped with the crYOLO package   * crYOLO box manager is installed through pypi and automatically shipped with the crYOLO package
   * Fix fine-tune mode (Thanks to Antoine Koehl)   * Fix fine-tune mode (Thanks to Antoine Koehl)
 +  * Fixed normalization function for YOLO backend (Thanks to Wolfgang Lugmayr)
  
 +As the dependencies changed again, I recommend to use a fresh environmen:
 <code> <code>
 conda env remove --name cryolo conda env remove --name cryolo
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 In case you run **crYOLO on a GPU** run: In case you run **crYOLO on a GPU** run:
 <code> <code>
-pip install 'cryolo[gpu]==1.4.1rc2+pip install 'cryolo[gpu]==1.4.1rc3
 </code> </code>
  
 But if you want to run **crYOLO on a CPU** run: But if you want to run **crYOLO on a CPU** run:
 <code> <code>
-pip install 'cryolo[cpu]==1.4.1rc2+pip install 'cryolo[cpu]==1.4.1rc3
 </code> </code>
  
cryolo_1_4_1.1563871428.txt.gz ยท Last modified: 2019/07/23 10:43 by twagner