Select the action “predict” and fill all arguments in the “Required arguments” tab:
In crYOLO, all particles have an assigned confidence value. By default, all particles with a confidence value below 0.3 are discarded. If you want to pick less or more conservatively you might want to change this confidence threshold to a less (e.g. 0.2) or more (e.g. 0.4) conservative value in the “Optional arguments” tab.
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.
Monitor mode
When this option is activated, crYOLO will monitor your input folder. This especially useful for automation purposes. You can stop the monitor mode by writing an empty file with the name “stop.cryolo” in the input directory. Just add –monitor in the command line or check the monitor box in in the “Optional arguments” tab.
After picking is done, you can find four folders in your specified output folder:
Click to display ⇲
Click to hide ⇱
To pick all your images in the directory full_data
with the model weight file cryolo_model.h5
(e.g. or gmodel_phosnet_X_Y.h5
when using the general model) and and a confidence threshold of 0.3 run::
cryolo_predict.py -c config.json -w cryolo_model.h5 -i full_data/ -g 0 -o boxfiles/ -t 0.3
You will find the picked particles in the directory boxfiles
.