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pipeline:window:cryolo:picking [2019/09/14 10:14]
twagner
pipeline:window:cryolo:picking [2019/09/16 16:48]
twagner
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-You can now use the model weights file (//e.g. ''model.h5'' in training from scratch or ''gmodel_phosnet_X_Y.h5'' when using the general model//) to pick all your images in the directory ''full_data''. To do this, run: +You can now use the model weights file (//e.g. ''cryolo_model.h5'' in training from scratch or ''gmodel_phosnet_X_Y.h5'' when using the general model//) 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 cryolo_model.h5 -i full_data/ -g 0 -o boxfiles/
 </code> </code>
  
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 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:
 <code> <code>
-cryolo_predict.py -c config.json -w model.h5 -i full_data/ -g 0 -o boxfiles/ -t 0.2+cryolo_predict.py -c config.json -w cryolo_model.h5 -i full_data/ -g 0 -o boxfiles/ -t 0.2
 </code> </code>
 However, it is much easier to select the best threshold after picking using the ''CBOX'' files written by crYOLO as described in the next section However, it is much easier to select the best threshold after picking using the ''CBOX'' files written by crYOLO as described in the next section
pipeline/window/cryolo/picking.txt ยท Last modified: 2020/05/17 11:04 by twagner