ModelElement
- class savant.config.schema.ModelElement(element='???', element_type=None, version='v1', name='???', properties=<factory>, dynamic_properties=<factory>, model='???')
A pipeline element that will run inference with specified deep learning model.
For example,
- element: nvinfer element_type: detector name: my_detector model: <model specification>
- element: str = '???'
Either a Gstreamer element name (gst factory name) or a short notation string to define
element
,element_type
andversion
at the same time.Short notation string format is
<element>@<element_type>:<version>
Note
Version is
v1
by default.Examples.
The following three element definitions are equivalent:
- element: nvinfer element_type: attribute_model version: v1 ... - element: nvinfer@attribute_model:v1 ... - element: nvinfer@attribute_model
Some elements might not have subtypes, in this case
version
in the short notation can be defined immediately after theelement
:- element: drawbin:v1 location: /data/frames/image_%06d.jpg
Warning
Mixing short notation and full definition is not supported.
Examples of unsupported notation mixing:
- element: nvinfer@attribute_model version: v1 ... - element: nvinfer:v1 element_type: attribute_model ... - element: nvinfer element_type: attribute_model:v1
- element_type: Optional[str] = None
Element type/subtype, can be defined as a substring of the
element
.For example,
detector
in- element: nvinfer@detector
- property full_name
Full element name.
- version: str = 'v1'
Element version, can be defined as a substring of the
element
.For example,
v1
in- element: nvinfer@detector:v1
- dynamic_properties: Dict[str, DynamicGstProperty]
GstElement properties that can be updated during runtime.