  
              if any("gpu" in str(device).lower()
                     for device in sess.list_devices()):
                  is_gpu = True
                  alloc = int(sess.run(tf.contrib.memory_stats.BytesLimit()) /
                              (1024 * 1024))
          mtcnn_graph.finalize()
  
          if not is_gpu:
              alloc = 2048
              if self.verbose:
 
</s> remove             if self.verbose:
                print("Using CPU. Limiting RAM useage to {}MB".format(alloc))
 </s> add             logger.warning("Using CPU")
        else:
            alloc = vram_free
        logger.debug("Allocated for Tensorflow: %sMB", alloc) </s> remove             sess = tf.Session()
 </s> add             sess = tf.Session(config=config) </s> remove         if is_macos:
 </s> add         if IS_MACOS: </s> remove         if is_macos:
 </s> add         if IS_MACOS:
  
              if any("gpu" in str(device).lower()
                     for device in sess.list_devices()):
                  is_gpu = True


          mtcnn_graph.finalize()
  
          if not is_gpu:
              alloc = 2048
              if self.verbose:
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/extract/detect/mtcnn.py