multispectral support
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- "While working with multispectral data we can use the following keyword arguments in addition to the standard parameters for the `prepare_data()` function. It is required to specify either of the keyword arguments `imagery_type`, `bands`, `rgb_bands` to work with multispectral data.\n",
+ "While working with multispectral data we can use the following keyword arguments in addition to the standard parameters for the `prepare_data()` function. \n",
+ "\n",
+ "- Right now multispectral workflow is used for the dataset in the following mutually exclusive cases:\n",
+ " - If the imagery source is not having exactly three bands\n",
+ " - If there is any band other than RGB in the imagery source\n",
+ " - Incase of three band iamgery all bands in the imagery source are having well known names.\n",
+ " - Any of these keyword arguments is sepcified `imagery_type`, `bands`, `rgb_bands`.\n",
"\n",
"- `imagery_type`: The type of imagery used to export the training data. We can use any of the well know imagery types:\n",
" - 'sentinel2'\n",
"source": [
"## Visualize Training data\n",
"\n",
- "We can use the `{data}.show_batch()` method to visualize a few samples of the training data. Following parameters can be used with multispectral imagery to control the visualization.\n",
+ "we can use the `{data}.show_batch()` method to visualize a few samples of the training data. Following parameters can be used with multispectral imagery to control the visualization.\n",
"\n",
"- `rgb_bands`: The band combination in which we want to visualize our training data, For example [2, 1, 0] or ['nir', 'green', 'blue']. \n",
"- `stretch_type`: The type of stretching we want to apply to imagery in our training data for visualization.\n",
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- "version": "3.6.10"
+ "version": "3.6.12"
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