Update how-multi-task-road-extractor-works.ipynb
"Multi-Task Road Extractor framework in `arcgis.learn` supports two architectures, which can be set using the parameter `mtl_model`. It can be used to select one of the two supported architectures: _`linknet`_ <a href=\"#References\">[3]</a> or _`hourglass`_.\n",
"As shown with the following line of code:\n",
"\n",
- "```\n",
+ "```python\n",
"mtre = arcgis.learn.MultiTaskRoadExtractor(data, mtl_model=\"hourglass\")\n",
"\n",
"```\n",
"\n",
"Where, \n",
- "`data` is the returned data object from `prepare_data` function. And currently, the implementation does not support custom transforms.\n",
+ "`data` is the returned data object from `prepare_data` function.\n",
"\n",
"Some model-specific advance parameters can also be modified.\n",
"\n",
"cell_type": "markdown",
"metadata": {},
"source": [
- "For more information about the API, kindly go through our <a href=\"https://developers.arcgis.com/python/api-reference/arcgis.learn.html\" target=\"_blank\">API reference</a>.\n",
+ "This implementation does not support custom transforms. And as of now, 8-bit RGB imagery is supported, while 16-bit RGB imagery experimental support is available in the workflow _(Multispectral imagery will be supported in the next release)_. For more information about the API, kindly go through our <a href=\"https://developers.arcgis.com/python/api-reference/arcgis.learn.html\" target=\"_blank\">API reference</a>.\n",
"\n"
]
},
