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pipeline:window:cryolo [2019/03/17 20:00]
twagner [Training on CPU]
pipeline:window:cryolo [2019/03/18 15:01] (current)
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: