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downloads:cryolo_1 [2019/03/17 20:02]
twagner [Run it on the CPU]
downloads:cryolo_1 [2019/03/18 16:05]
twagner [Installation]
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 ====crYOLO==== ====crYOLO====
-Version: 1.3.0+Version: 1.3.1
  
-Uploaded:  14. March 2019+Uploaded:  18. March 2019
  
-[[ftp://ftp.gwdg.de/pub/misc/sphire/crYOLO_V1_3_0/cryolo-1.3.0.tar.gz|DOWNLOAD]]+[[ftp://ftp.gwdg.de/pub/misc/sphire/crYOLO_V1_3_1/cryolo-1.3.1.tar.gz|DOWNLOAD]]
  
 ====crYOLO boxmanager==== ====crYOLO boxmanager====
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   * <del>Issue 13: After picking it can happen that some of the boxes are not fully immersed in the image. Will be fixed in 1.2.4.</del>   * <del>Issue 13: After picking it can happen that some of the boxes are not fully immersed in the image. Will be fixed in 1.2.4.</del>
   * <del>Issue 14: Parallelization in filament mode is broken. Will be fixed in 1.2.4.</del>   * <del>Issue 14: Parallelization in filament mode is broken. Will be fixed in 1.2.4.</del>
-  * Issue 15: If the --gpu_fraction is used, crYOLO always uses GPU 0. Will be fixed in 1.3.1. +  * <del>Issue 15: If the --gpu_fraction is used, crYOLO always uses GPU 0. Will be fixed in 1.3.1.</del> 
  
  
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 Install crYOLO: Install crYOLO:
 <code> <code>
-pip install numpy+conda install numpy
 pip install cryolo-X.Y.Z.tar.gz  pip install cryolo-X.Y.Z.tar.gz 
 pip install cryoloBM-X.Y.Z.tar.gz pip install cryoloBM-X.Y.Z.tar.gz
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 Picking with crYOLO is also quite fast on the CPU. On my local machine (Intel i9) it takes roughly 1 second per micrograph and on our low-performance notebooks (Intel i3) 4 seconds.  Picking with crYOLO is also quite fast on the CPU. On my local machine (Intel i9) it takes roughly 1 second per micrograph and on our low-performance notebooks (Intel i3) 4 seconds. 
  
-Training crYOLO is much more computational expensive. Training a model with 14 micrographs from scratch on my local machine take 34 minutes per epoch on the CPU. Given that you often need 25 epochs until convergence it is a task to do overnight (~ 12 hours). However, you might want to try refining the general model, which takes 12 minutes per epoch (~ 5 hours).+Training crYOLO is much more computational expensive. Training a model with 14 micrographs from scratch on my local machine take 34 minutes per epoch on the CPU. Given that you often need 25 epochs until convergence it is a task to do overnight (~ 12 hours). However, you might want to try [[pipeline:window:cryolo##picking_particles_-_using_the_general_model_refined_for_your_data|refining the general model]], which takes 12 minutes per epoch (~ 5 hours).
  
 **Here is how you prepare your crYOLO setup for using it on the CPU:** **Here is how you prepare your crYOLO setup for using it on the CPU:**
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 Use the **__''[[pipeline:window:cryolo|step-by-step tutorial]]''__** to get started! Use the **__''[[pipeline:window:cryolo|step-by-step tutorial]]''__** to get started!
  
-====== Change log =====+====== Change log ======
  
 ====crYOLO==== ====crYOLO====
 +
 +**crYOLO 1.3.1:**
 +  * Fix Issue 15: -g was ignored when --gpu_fraction was used.
  
 **crYOLO 1.3.0:** **crYOLO 1.3.0:**
downloads/cryolo_1.txt ยท Last modified: 2021/02/19 09:43 by twagner