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pipeline:window:cryolo [2019/03/17 20:00]
twagner [Training on CPU]
pipeline:window:cryolo [2019/03/18 15:01]
twagner [Picking]
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 to the training command. to the training command.
 ==== Picking ==== ==== Picking ====
-You can now use the model weights saved in ''model.h5'' to pick all your images in the directory ''full_data''. To do this, run: +You can now use the model weights saved in ''model.h5'' (//if you come to this section from another point of the tutorial, this filename might be different like ''gmodel_phosnet_X_Y.h5''//to pick all your images in the directory ''full_data''. To do this, run: 
 <code> <code>
 cryolo_predict.py -c config.json -w model.h5 -i full_data/ -g 0 -o boxfiles/ cryolo_predict.py -c config.json -w model.h5 -i full_data/ -g 0 -o boxfiles/
 </code> </code>
  
-You will find the picked particles in the directory ''boxfiles''+You will find the picked particles in the directory ''boxfiles''.
  
 If you want to pick less conservatively or more conservatively you might want to change the selection threshold from the default of 0.3 to a less conservative value like 0.2 or more conservative value like 0.4 using the //-t// parameter: If you want to pick less conservatively or more conservatively you might want to change the selection threshold from the default of 0.3 to a less conservative value like 0.2 or more conservative value like 0.4 using the //-t// parameter:
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 ===== Picking particles - Without training using a general model ===== ===== Picking particles - Without training using a general model =====
  
-The general model can be found here: [[howto:download_latest_cryolo|Download and Installation]]. +The general models can be found and downloaded here: [[howto:download_latest_cryolo|Download and Installation]]. 
 ==== Configuration==== ==== Configuration====
 The next step is to create a configuration file. Type: The next step is to create a configuration file. Type:
pipeline/window/cryolo.txt ยท Last modified: 2021/02/19 10:00 by twagner