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cryolo_config [2018/12/20 10:40]
twagner
cryolo_config [2018/12/20 11:15]
twagner
Line 44: Line 44:
   * #19 ''​log_path'':​ Path to folder. During training, crYOLo saves there some logs for visualization in tensorboard. Tensorboard is used to visualize curves for training and validation loss.   * #19 ''​log_path'':​ Path to folder. During training, crYOLo saves there some logs for visualization in tensorboard. Tensorboard is used to visualize curves for training and validation loss.
  
-  * #20 ''​saved_weights_name'':​+  * #20 ''​saved_weights_name'': ​Everytime the network improves in terms of validation loss, it will save the model into the file specified here.
  
-  * #21 ''​debug'':​+  * #21 ''​debug'': ​If true, the network will provide several statistics during training.
  
 **Validation section:** **Validation section:**
  
-  * #22 ''​valid_image_folder'':​+  * #22 ''​valid_image_folder'': ​If not specified, crYOLO will simply select 20% of the training data for validation. However it is possible to specify to use specific images for validation. This should be the path to folder containing these files.
  
-  * #23 ''​valid_annot_folder'':​+  * #23 ''​valid_annot_folder'': ​If not specified, crYOLO will simply select 20% of the training data for validation. However it is possible to specify to use specific images for validation. This should be the path to folder containing these validation box files.
  
-  * #24 ''​valid_times'':​+  * #24 ''​valid_times'': ​How often each image is presented the network during validation. 1 should be kept.