Loading ...
Loading ...
Loading ...
Performance
Fig. 22: Performance
Performance optimizations to make the algorithms more efficient.
Spatial decimation: consists in reducing the resolution at which the algorithm processes images. It is
possible to reduce the size by a factor of 2 or 4, processing an image that is respectively a quarter or a
sixteenth compared to the initial one.
Temporal decimation: allows to "discard" some frames, processing a picture every K milliseconds.
ROI: allows to perform the image processing only in the region drawn by the user.
Blob detection (AI-SECURITY only)
Fig. 23: Blob detection (AI-SECURITY) only
Tight bounding box (horizontal): consists in reducing the horizontal dimension of the bounding box by
centering it with respect to the centroid.
Tight bounding box (vertical): consists in reducing the vertical dimension of the bounding box by centering
it with respect to the centroid.
Blob number limit: allows to limit the number of blobs detected by the plugin in a single frame.
AI-Dashboard embedded for data management
AI-Dash - Administrator parameters
29 / 153
Loading ...
Loading ...
Loading ...