remove unused arguments

Author: mcbuehler

options/base_options.py

@@ -131,22 +131,15 @@ def initialize(self, parser):
         parser.add_argument('--guiding_style_image2', action='store_true',
                             help="Use a full image, but another image from the same person")
         parser.add_argument('--random_style_matrix', action='store_true',
-                            help="Create a random style matrix from N(0,1)")
+                            help="Create a random style matrix")
         parser.add_argument('--gpu_info', action='store_true',
                             help="print gpu info")
         parser.add_argument('--model_parallel_mode', type=int, default=0,
                             help="1 for 512x512 deepsee_models")
-        parser.add_argument('--ablation', type=str, default="",
-                            help="nospadenostyle")
 
         # for instance-wise features
         parser.add_argument('--nef', type=int, default=32,
                             help='# of encoder filters in the first conv layer')
-        # Google Sheets related
-        parser.add_argument('--gsheet_secrets_json_file', type=str, help='')
-        parser.add_argument('--gsheet_workbook_key', type=str,
-                            default='1byolOn6WRst4lBiQzHQV66f4oluEESur6D7q8nPLEio')
-
         self.initialized = True
         return parser
 
@@ -228,7 +221,6 @@ def load_options(self, opt):
         return new_opt
 
     def parse(self, save=False):
-
         opt = self.gather_options()
         opt.isTrain = self.isTrain  # train or test
 

options/demo_options.json

@@ -0,0 +1,72 @@
+{
+  "num_upsampling_layers": "normal",
+  "isTrain": false,
+  "noise_delta": 0.0,
+  "label_dir": null,
+  "start_size": 16,
+  "netE": "combinedstyle",
+  "no_pairing_check": false,
+  "downsampling_method": "bicubic",
+  "which_epoch": "latest",
+  "label_nc": 19,
+  "results_dir": "./results/",
+  "gpu_ids": [],
+  "max_dataset_size": 9223372036854775807,
+  "dataset": "celebamaskhq",
+  "random_style_matrix": false,
+  "center_crop_size": null,
+  "ignore_path_match": false,
+  "phase": "test",
+  "name": "8x_independent_128x128",
+  "image_dir_val": null,
+  "guiding_style_image": false,
+  "noisy_style_scale": 0.2,
+  "checkpoints_dir": "./checkpoints",
+  "max_fm_size": 256,
+  "identities_file": "",
+  "display_winsize": 400,
+  "model": "sr",
+  "load_from_opt_file": false,
+  "n_samples": 1,
+  "norm_G": "spectrallateseansyncbatch3x3",
+  "nThreads": 0,
+  "serial_batches": true,
+  "regional_style_size": 128,
+  "how_many": null,
+  "model_parallel_mode": 0,
+  "load_size": 128,
+  "preprocess_mode": "resize_and_crop",
+  "dataset_mode": "celebamaskhq",
+  "netG": "deepsee",
+  "contain_dontcare_label": false,
+  "n_interpolation": 5,
+  "semantic_nc": 19,
+  "nef": 32,
+  "full_style_image": false,
+  "instance_dir": "",
+  "guiding_style_image2": false,
+  "downscale_label": false,
+  "gpu_info": false,
+  "aspect_ratio": 1.0,
+  "cache_filelist_write": false,
+  "add_noise": false,
+  "efficient": false,
+  "manipulate_scale": 1.0,
+  "norm_D": "spectralinstance",
+  "load_config_from_name": false,
+  "cache_filelist_read": false,
+  "batchSize": 1,
+  "image_dir": null,
+  "dont_merge_fake": false,
+  "label_dir_val": null,
+  "norm_E": "spectralinstance",
+  "output_nc": 3,
+  "region_idx": null,
+  "noisy_style_dist": "uniform",
+  "ngf": 32,
+  "crop_size": 128,
+  "no_flip": true,
+  "init_type": "xavier",
+  "noise_dist": "normal",
+  "init_variance": 0.02
+}

options/test_options.py

@@ -0,0 +1,36 @@
+"""
+Copyright (C) 2019 NVIDIA Corporation.  All rights reserved.
+Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
+"""
+
+from .base_options import BaseOptions
+
+
+class TestOptions(BaseOptions):
+    def initialize(self, parser):
+        BaseOptions.initialize(self, parser)
+        parser.add_argument('--results_dir', type=str, default='./results/',
+                            help='saves results here.')
+        parser.add_argument('--which_epoch', type=str, default='latest',
+                            help='which epoch to load? set to latest to use latest cached model')
+        parser.add_argument('--how_many', type=int, default=None,
+                            help='how many test images to run')
+        parser.add_argument('--region_idx', nargs='+', type=int)
+        parser.add_argument('--n_interpolation', type=int, default=5)
+        parser.add_argument('--n_samples', type=int, default=1)
+        parser.add_argument('--noise_delta', type=float, default=0.0)
+        parser.add_argument('--noise_dist', type=str, default='normal',
+                            help='normal | uniform')
+        parser.add_argument('--dont_merge_fake', action='store_true',
+                            help="do NOT concat fake along dim 1 for multi_modal etc.")
+
+        parser.add_argument('--manipulate_scale', type=float, default=1.0)
+
+        parser.set_defaults(serial_batches=True)
+        parser.set_defaults(no_flip=True)
+        parser.set_defaults(phase='test')
+        parser.set_defaults(efficient=False)
+        parser.set_defaults(max_fm_size=256)
+        parser.set_defaults(batchSize=1)
+        self.isTrain = False
+        return parser