                                "dest": "input_a",
                                "required": True,
                                "help": "Input directory. A directory containing training images "
                                        "for face A."})
          argument_list.append({"opts": ("-B", "--input-B"),
                                "action": DirFullPaths,
                                "dest": "input_b",
                                "required": True,
                                "help": "Input directory. A directory containing training images "
                                        "for face B."})
          argument_list.append({"opts": ("-ala", "--alignments-A"),
                                "action": FileFullPaths,
                                "filetypes": 'alignments',
                                "type": str,
                                "dest": "alignments_path_a",
 
</s> remove         argument_list.append({"opts": ("-m", "--model-dir"),
 </s> add         argument_list.append({"opts": ("-tib", "--timelapse-input-B"), </s> remove                               "dest": "model_dir",
                              "required": True,
                              "help": "Model directory. This is where the training data will be "
                                      "stored."})
 </s> add                               "dest": "timelapse_input_b",
                              "default": None,
                              "help": "For if you want a timelapse: "
                                      "The input folder for the timelapse. "
                                      "This folder should contain faces of B "
                                      "which will be converted for the "
                                      "timelapse. You must supply a "
                                      "--timelapse-output and a "
                                      "--timelapse-input-A parameter."}) </s> remove         argument_list.append({"opts": ("-tia", "--timelapse-input-A"),
                              "action": DirFullPaths,
                              "dest": "timelapse_input_a",
                              "default": None,
                              "help": "For if you want a timelapse: "
                                      "The input folder for the timelapse. "
                                      "This folder should contain faces of A "
                                      "which will be converted for the "
                                      "timelapse. You must supply a "
                                      "--timelapse-output and a "
                                      "--timelapse-input-B parameter."})
        argument_list.append({"opts": ("-tib", "--timelapse-input-B"),
                              "action": DirFullPaths,
                              "dest": "timelapse_input_b",
                              "default": None,
                              "help": "For if you want a timelapse: "
                                      "The input folder for the timelapse. "
                                      "This folder should contain faces of B "
                                      "which will be converted for the "
                                      "timelapse. You must supply a "
                                      "--timelapse-output and a "
                                      "--timelapse-input-A parameter."})
        argument_list.append({"opts": ("-to", "--timelapse-output"),
                              "action": DirFullPaths,
                              "dest": "timelapse_output",
                              "default": None,
                              "help": "The output folder for the timelapse. "
                                      "If the input folders are supplied but "
                                      "no output folder, it will default to "
                                      "your model folder /timelapse/"})
 </s> add  </s> remove         coverage = self.get_coverage(image)
 </s> add         coverage = self.get_coverage(image) // 2
                                "dest": "input_a",
                                "required": True,
                                "help": "Input directory. A directory containing training images "
                                        "for face A."})






          argument_list.append({"opts": ("-ala", "--alignments-A"),
                                "action": FileFullPaths,
                                "filetypes": 'alignments',
                                "type": str,
                                "dest": "alignments_path_a",
keep keep keep keep replace replace replace replace replace replace keep keep keep keep keep
 documentation, pep8, style, clarity updates  - Prep for Segmentation (#812)

* documentation, pep8, style, clarity updates

* Update cli.py

* Update _config.py

remove extra mask and coverage

mask type as dropdown

* Update training_data.py

move coverage / LR to global
cut down on loss description

style change
losses working in PR

* simpler logging

* legacy update 
lib/cli.py