          try:            
              self.encoder.load_weights(os.path.join(model_dir, hdf['encoderH5']))
              self.decoder_A.load_weights(os.path.join(model_dir, face_A))
              self.decoder_B.load_weights(os.path.join(model_dir, face_B))
              print('loaded model weights')
              return True
          except IOError as e:
              print('Failed loading training data:', e.strerror)            
          except Exception as e:
              print('Failed loading training data:', str(e))            
 
</s> remove             print('Failed loading training data:', e.strerror)            
 </s> add             logger.warning('Error loading training info: %s', str(e.strerror)) </s> remove             print('Failed loading training data:', str(e))            
      
 </s> add             logger.warning('Error loading training info: %s', str(e))
 </s> remove             print('Error loading training info:', e.msg)
            self._epoch_no = 0                         
 </s> add             logger.warning('Error loading training info: %s', str(e.msg))
            self._epoch_no = 0 </s> remove             print('loaded model weights')
 </s> add             logger.info('loaded model weights')
 </s> remove             print('loaded model weights')
 </s> add             logger.info('loaded model weights')
            logger.info('loaded model weights')
          try:            
              self.encoder.load_weights(os.path.join(model_dir, hdf['encoderH5']))
              self.decoder_A.load_weights(os.path.join(model_dir, face_A))
              self.decoder_B.load_weights(os.path.join(model_dir, face_B))
            logger.info('loaded model weights')
              return True
          except IOError as e:
              print('Failed loading training data:', e.strerror)            
          except Exception as e:
              print('Failed loading training data:', str(e))            
keep keep keep keep 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