Few Shot Classifier (v1.0)

About this version

This tool uses a vision model to classify video segments. Currenly supports “chyron” frame type.

(Note: “*” as a property value means that the property is required but can be any value.)

(Note: Multivalued means the parameter can have one or more values.)

Name	Description	Type	Multivalued	Default	Choices
timeUnit	Unit for output timeframe	string	N	frames	*`frames`*, `milliseconds`
sampleRatio	Frequency to sample frames.	integer	N	30
minFrameCount	Minimum number of frames required for a timeframe to be included in the output with a minimum value of 1	integer	N	60
threshold	Threshold from 0-1, lower accepts more potential labels.	number	N	0.8
finetunedFrameType	Name of fine-tuned model to use. All pre-installed models are named after the frame type they were fine-tuned for. If an empty value is passed, the app will look for fewshots.csv file in the same directory as the app.py and create a new fine-tuned model based on the examples in that file. At the moment, a model fine-tuned on “chyron” frame type is shipped as pre-installed.	string	N	chyron
pretty	The JSON body of the HTTP response will be re-formatted with 2-space indentation	boolean	N	false	*`false`*, `true`

(Note: “*” as a property value means that the property is required but can be any value.)

(Note: Not all output annotations are always generated.)