Создано с помощью Colaboratory

Face_Depixelizer_Rus.ipynb

@@ -142,22 +142,28 @@
         "#@markdown ## Расширенные настройки:\n",
         "#@markdown ##### *Если вы хотите получить более точный результат, измените следующие переменные, оптимально настроенные по умолчанию*:\n",
         "\n",
+        "input_dir = '/content/pulse/input/'\n",
+        "output_dir = '/content/pulse/runs/'\n",
         "seed = 100 #@param {type:\"integer\"}\n",
+        "epsilon = 0.02 #@param {type:\"slider\", min:0.01, max:0.03, step:0.01}\n",
         "noise_type = 'trainable'  #@param ['zero', 'fixed', 'trainable']\n",
         "optimizer = 'adam'  #@param ['sgd', 'adam','sgdm', 'adamax']\n",
         "learning_rate = 0.4 #@param {type:\"slider\", min:0, max:1, step:0.05}\n",
         "learning_rate_schedule = 'linear1cycledrop'  #@param ['fixed', 'linear1cycle', 'linear1cycledrop']\n",
-        "steps = 100 #@param {type:\"slider\", min:100, max:1000, step:50}\n",
+        "steps = 100 #@param {type:\"slider\", min:100, max:2000, step:50}\n",
         "clear_output()\n",
         "\n",
         "seed = abs(seed)\n",
         "print('Примерное время генерации: {} сек.\\n'.format(round(0.23*steps)+6))\n",
         "!python run.py \\\n",
+        "  -input_dir $input_dir \\\n",
+        "  -output_dir $output_dir \\\n",
         "  -seed $seed \\\n",
         "  -noise_type $noise_type \\\n",
         "  -opt_name $optimizer \\\n",
         "  -learning_rate $learning_rate \\\n",
         "  -steps $steps \\\n",
+        "  -eps $epsilon \\\n",
         "  -lr_schedule $learning_rate_schedule\n",
         "\n",
         "#@markdown ---\n",