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pipeline:window:cryolo [2019/04/03 14:55]
twagner [Data preparation]
pipeline:window:cryolo [2019/04/21 22:31]
twagner [Picking particles - Without training using a general model]
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   * crYOLO makes picking **smart** -- The network learns the context of particles (e.g. not to pick particles on carbon or within ice contamination )   * crYOLO makes picking **smart** -- The network learns the context of particles (e.g. not to pick particles on carbon or within ice contamination )
   * crYOLO makes training **easy** -- You might use a general network model and skip training completely. However, if the general model doesn't give you satisfactory results or if you would like to improve them, you might want to train a specialized model specific for your data set by selecting __particles__ (no selection of negative examples necessary) on a small number of micrographs.   * crYOLO makes training **easy** -- You might use a general network model and skip training completely. However, if the general model doesn't give you satisfactory results or if you would like to improve them, you might want to train a specialized model specific for your data set by selecting __particles__ (no selection of negative examples necessary) on a small number of micrographs.
-  * crYOLO makes training **lenient** -- Don't worry if you miss quite a lot particles during creation of your training set. [[:cryolo_picking_unlabeled|crYOLO will still do the job.]]+  * crYOLO makes training **tolerant** -- Don't worry if you miss quite a lot particles during creation of your training set. [[:cryolo_picking_unlabeled|crYOLO will still do the job.]]
  
 In this tutorial we explain our recommended configurations for single particle and filament projects. You can find more information about supported networks and about the config file in the following articles: In this tutorial we explain our recommended configurations for single particle and filament projects. You can find more information about supported networks and about the config file in the following articles:
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         "train_times":          10,         "train_times":          10,
         "pretrained_weights":   "model.h5",         "pretrained_weights":   "model.h5",
-        "batch_size":           6,+        "batch_size":           4,
         "learning_rate":        1e-4,         "learning_rate":        1e-4,
         "nb_epoch":             50,         "nb_epoch":             50,
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 ===== Picking particles - Without training using a general model ===== ===== Picking particles - Without training using a general model =====
 +Here you can find how to apply the general models we trained for you. If you would like to train your own general model, please see our extra wiki page: [[:cryolo_train_general_model|How to train your own general model]]
  
-The general models can be found and downloaded here: [[howto:download_latest_cryolo|Download and Installation]]. +Our 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:
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         "train_times":          10,         "train_times":          10,
         "pretrained_weights":   "model.h5",         "pretrained_weights":   "model.h5",
-        "batch_size":           6,+        "batch_size":           4,
         "learning_rate":        1e-4,         "learning_rate":        1e-4,
         "nb_epoch":             50,         "nb_epoch":             50,
pipeline/window/cryolo.txt ยท Last modified: 2021/02/19 10:00 by twagner