Clothing analysis finds the location of the clothing worn by a person. The person must have been identified by face detection, or an object class recognition task that was configured to use the pre-trained person recognizer.
After finding the location of a person's clothing, you can use other tasks to extract more information, for example use a color cluster task to identify the color of the clothing.
Configuration Parameter | Description |
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ClothingMode | A comma-separated list of regions to identify (full , upper , lower ). |
Input | The track to process. |
NumParallel | The maximum number of video frames to analyze simultaneously. |
SegmentDuration | The maximum duration of a record in the SegmentedResult or SegmentedResultWithSource track. |
Type | The analysis engine to use. Set this parameter to Clothing . |
Output track | Description | Output1This column indicates whether the information contained in the track is included by default in the output created by an output task (when you don't set the Input parameter for the output task). |
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Data
|
Contains one record, describing the analysis results, for each input record. | No |
DataWithSource
|
The same as the |
No |
Result
|
Contains one record, describing the analysis results, for each person. | Yes |
ResultWithSource
|
The same as the |
No |
SegmentedResult
|
(Available only when processing video). The same as the |
Yes |
SegmentedResultWithSource
|
(Available only when processing video). The same as the |
No |