              return True
          except IOError as e:
              print('Failed loading training data:', e.strerror)            
          except Exception as e:
              print('Failed loading training data:', str(e))            
        
          return False
  
      def converter(self, swap):
          autoencoder = self.autoencoder_B if not swap else self.autoencoder_A
          return autoencoder.predict
 
</s> remove             print('Failed loading training data:', e.strerror)            
 </s> add             logger.warning('Error loading training info: %s', str(e.strerror)) </s> remove             print('loaded model weights')
 </s> add             logger.info('loaded model weights') </s> remove             print('Failed loading existing training data.')
            print(e)
 </s> add             logger.warning('Failed loading existing training data. Starting a fresh model: %s', self.model_dir) </s> remove             print('Error loading training info:', e.strerror)
 </s> add             logger.warning('Error loading training info: %s', str(e.strerror)) </s> remove         except Exception as e:
            print('Failed loading existing training data.')
            print(e)
 </s> add         except Exception:
            logger.warning('Failed loading existing training data. Starting a fresh model: %s', self.model_dir)
            logger.warning('Error loading training info: %s', str(e))

              return True
          except IOError as e:
              print('Failed loading training data:', e.strerror)            
          except Exception as e:
            logger.warning('Error loading training info: %s', str(e))

            logger.warning('Error loading training info: %s', str(e))

          return False
  
      def converter(self, swap):
          autoencoder = self.autoencoder_B if not swap else self.autoencoder_A
          return autoencoder.predict
keep keep keep keep replace replace keep keep keep keep keep
 Logging (#541)

* Convert prints to logger. Further logging improvements. Tidy  up

* Fix system verbosity. Allow SystemExit

* Fix reload extract bug

* Child Traceback handling

* Safer shutdown procedure

* Add shutdown event to queue manager

* landmarks_as_xy > property. GUI notes + linting. Aligner bugfix

* fix FaceFilter. Enable nFilter when no Filter is supplied

* Fix blurry face filter

* Continue on IO error. Better error handling

* Explicitly print stack trace tocrash log

* Windows Multiprocessing bugfix

* Add git info and conda version to crash log

* Windows/Anaconda mp bugfix

* Logging fixes for training 
plugins/model/Model_OriginalHighRes/Model.py