                                "dest": "allow_growth",
                                "default": False,
                                "help": "Sets allow_growth option of Tensorflow "
                                        "to spare memory on some configs"})
          argument_list.append({"opts": ("-v", "--verbose"),
                                "action": "store_true",
                                "dest": "verbose",
                                "default": False,
                                "help": "Show verbose output"})
          argument_list.append({"opts": ("-tia", "--timelapse-input-A"),
                                "action": DirFullPaths,
                                "dest": "timelapse_input_A",
                                "default": None,
                                "help": "For if you want a timelapse: "
 
</s> remove         argument_list.append({"opts": ("-v", "--verbose"),
                              "action": "store_true",
                              "dest": "verbose",
                              "default": False,
                              "help": "Show verbose output"})
 </s> add  </s> remove         argument_list.append({"opts": ("-v", "--verbose"),
                              "action": "store_true",
                              "dest": "verbose",
                              "default": False,
                              "help": "Show verbose output"})
 </s> add  </s> remove                               "type": int,
 </s> add                               "type": float, </s> remove         print("Exit requested! The trainer will complete its current cycle, "
              "save the models and quit (it can take up a couple of seconds "
              "depending on your training speed). If you want to kill it now, "
              "press Ctrl + c")
 </s> add         logger.info("Exit requested! The trainer will complete its current cycle, "
                    "save the models and quit (it can take up a couple of seconds "
                    "depending on your training speed). If you want to kill it now, "
                    "press Ctrl + c") </s> remove         print("\nNo Alignments file found. Extracting on the fly.\n"
              "NB: This will use the inferior dlib-hog for extraction "
              "and dlib pose predictor for landmarks.\nIt is recommended "
              "to perfom Extract first for superior results\n")
 </s> add         logger.warning("No Alignments file found. Extracting on the fly.")
        logger.warning("NB: This will use the inferior dlib-hog for extraction "
                       "and dlib pose predictor for landmarks. It is recommended "
                       "to perfom Extract first for superior results")
                                "dest": "allow_growth",
                                "default": False,
                                "help": "Sets allow_growth option of Tensorflow "
                                        "to spare memory on some configs"})





          argument_list.append({"opts": ("-tia", "--timelapse-input-A"),
                                "action": DirFullPaths,
                                "dest": "timelapse_input_A",
                                "default": None,
                                "help": "For if you want a timelapse: "
keep keep keep keep replace replace replace 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 
lib/cli.py