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downloads:cryolo_1 [2019/07/29 16:13]
twagner [crYOLO]
downloads:cryolo_1 [2019/09/17 13:58]
twagner [Start picking!]
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 ====crYOLO==== ====crYOLO====
-Version: 1.4.1+Version: 1.5.0
  
-Uploaded:  29July 2019+Uploaded:  30Aug 2019
  
 [[https://pypi.org/project/cryolo/#files|DOWNLOAD]] [[https://pypi.org/project/cryolo/#files|DOWNLOAD]]
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 After that, create a new virtual environment: After that, create a new virtual environment:
 <code> <code>
-conda create -n cryolo -c anaconda python=3.6 pyqt=5 cudnn=7.1.2 numpy==1.14.5 cython+conda create -n cryolo -c anaconda python=3.6 pyqt=5 cudnn=7.1.2 numpy==1.14.5 cython wxPython==4.0.4
 </code> </code>
  
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 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). 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).
  
-====== Start picking! ======+====== Tutorials ======
  
-Use the **__''[[pipeline:window:cryolo|step-by-step tutorial]]''__** to get started!+Use our **__''[[pipeline:window:cryolo|step-by-step tutorials]]''__** to get started!
  
 ====== Change log ====== ====== Change log ======
  
 ====crYOLO==== ====crYOLO====
 +
 +**crYOLO 1.5.0:**
 +  * Added a GUI for crYOLO (start with cryoloo.py)
 +  * Optimized fast low-pass filtering pipeline: Speed up on-the-fly filtering by 175%, speed up training by 75% speed up picking by 50%
 +  * Add rotation as data augmentation
 +  * Number of layers for fine tuning are now changeable (-lft)
 +  * cryolo_evaluation.py will now output a html file with the results.
 +  * Set patch argument as deprecated
 +  * Remove warmup as config file option. Please specify it with -w.
  
 **crYOLO 1.4.1:** **crYOLO 1.4.1:**
downloads/cryolo_1.txt ยท Last modified: 2021/02/19 09:43 by twagner