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- " \n",
+ "\n",
+ " "
],
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},
"metadata": {},
@@ -357,12 +321,21 @@
"\n",
"Dataset views can be created and modified both in Python and in the App. The active view in the App is always available via the [Session.view](https://voxel51.com/docs/fiftyone/api/fiftyone.core.session.html#fiftyone.core.session.Session.view) property of your session. This means that if you update your view in the App, its state will be captured by [Session.view](https://voxel51.com/docs/fiftyone/api/fiftyone.core.session.html#fiftyone.core.session.Session.view). Or, you can create a view programmatically in Python and open it in the App by setting the [Session.view](https://voxel51.com/docs/fiftyone/api/fiftyone.core.session.html#fiftyone.core.session.Session.view) property.\n",
"\n",
- "Let's start by creating a view into our dataset via the App. We'll sort the dataset by the `uniqueness` field to show the most unique images first. To do this, we will click `+ add stage` in the View Bar and add a `SortBy` stage with `uniqueness` as the field, and `reverse` equal to `True`."
+ "Let's start by creating a view into our dataset via the App:\n",
+ "\n",
+ " 1. Look for `uniquness` under the `PRIMITIVES` field.\n",
+ " 2. Check the box next to `uniqueness` and toggle the slider to whatever value you'd like.\n",
+ " 3. click `+ add stage` in the **View Bar**. \n",
+ " 4. Type in `SortBy`. \n",
+ " 5. In the pop-up type in `uniqueness` as the field, then press the `Submit` button.\n",
+ " 6. Set `reverse` equal to `True`, by typing in `True`.\n",
+ "\n",
+ "This will create a view that contains only the samples with a `uniqueness` score greater than the value you selected, sorted in descending order.\n"
]
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
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