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Add frame access code to Dataview usage snippets (#397)

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docs/hyperdatasets/dataviews.md
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@ -160,6 +160,10 @@ specify the queries.
Multiple queries can be added to the same or different Dataset versions, each query with the same or different ROI
and / or frame queries.
You can retrieve the Dataview frames using [`DataView.to_list`](../references/hyperdataset/dataview.md#to_list),
[`DataView.to_dict`](../references/hyperdataset/dataview.md#to_dict), or [`DataView.get_iterator`](../references/hyperdataset/dataview.md#get_iterator)
(see [Accessing Frames](#accessing-frames)).
#### ROI Queries:
* ROI query for a single label
@ -176,6 +180,10 @@ myDataView.add_query(
version_name='myVersion',
roi_query='cat'
)
# retrieving the actual SingleFrames / FrameGroups
# you can also iterate over the frames with `for frame in myDataView.get_iterator():`
list_of_frames = myDataView.to_list()
```
* ROI query for one label OR another
@ -195,6 +203,10 @@ myDataView.add_query(
version_name='myVersion',
roi_query='dog'
)
# retrieving the actual SingleFrames / FrameGroups
# you can also iterate over the frames with `for frame in myDataView.get_iterator():`
list_of_frames = myDataView.to_list()
```
* ROI query for one label AND another label
@ -206,7 +218,12 @@ This example is an ROI query filtering for frames containing at least one ROI wi
myDataView.add_query(
dataset_name='myDataset',
version_name='training',
roi_query=['Car','partly_occluded'])
roi_query=['Car','partly_occluded']
)
# retrieving the actual SingleFrames / FrameGroups
# you can also iterate over the frames with `for frame in myDataView.get_iterator():`
list_of_frames = myDataView.to_list()
```
* ROI query for one label AND NOT another (Lucene query).
@ -224,6 +241,10 @@ myDataView.add_query(
version_name='training',
roi_query='label.keyword:\"Car\" AND NOT label.keyword:\"partly_occluded\"'
)
# retrieving the actual SingleFrames / FrameGroups
# you can also iterate over the frames with `for frame in myDataView.get_iterator():`
list_of_frames = myDataView.to_list()
```
#### Querying Multiple Datasets and Versions
@ -257,12 +278,16 @@ myDataView.add_query(
roi_query='label.keyword:\"car\" OR label.keyword:\"truck\" OR '
'label.keyword:\"bicycle\"'
)
# retrieving the actual SingleFrames / FrameGroups
# you can also iterate over the frames with `for frame in myDataView.get_iterator():`
list_of_frames = myDataView.to_list()
```
#### Frame Queries
Use frame queries to filter frames by ROI labels and / or frame metadata key-value pairs that a frame must include or
exclude for the DataView to return the frame.
exclude for the Dataview to return the frame.
**Frame queries** match frame meta key-value pairs, ROI labels, or both.
They use the same logical OR, AND, NOT AND matching as ROI queries.
@ -276,6 +301,10 @@ myDataView.add_query(
version_name='version',
frame_query='meta.city:"bremen"'
)
# retrieving the actual SingleFrames / FrameGroups
# you can also iterate over the frames with `for frame in myDataView.get_iterator():`
list_of_frames = myDataView.to_list()
```
@ -317,10 +346,14 @@ myDataView.add_query(
version_name='myVersion',
roi_query='cat'
)
# retrieving the actual SingleFrames / FrameGroups
# you can also iterate over the frames with `for frame in myDataView.get_iterator():`
list_of_frames = myDataView.to_list()
```
#### Iterate a Maximum Number of Frames
This example demonstrates creating a DataView and setting its parameters to iterate a specific number of frames. If the
This example demonstrates creating a Dataview and setting its parameters to iterate a specific number of frames. If the
Dataset version contains fewer than that number of frames matching the query, then fewer are returned by the iterator.
```python
@ -510,6 +543,6 @@ The method returns a list of dictionaries that looks something like this:
]
```
Since the `to_list`/`to_dict` methods return all the frames in the dataview, it is recommended to use the [`DataView.get_iterator`](../references/hyperdataset/dataview.md#get_iterator)
method, which returns an iterator of the dataview. You can also specify the desired frame fields in this method using
Since the `to_list`/`to_dict` methods return all the frames in the Dataview, it is recommended to use the [`DataView.get_iterator`](../references/hyperdataset/dataview.md#get_iterator)
method, which returns an iterator of the Dataview. You can also specify the desired frame fields in this method using
the `projection` parameter, just like in the `DataView.to_dict` method, as described above.