ADLINK Technology EVA SDK, User Manual, Page: 81 / 117

EVA SDK User's Manual
Image Analytic Plugins
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5.1.1.4 Properties
batch-num
“batch-num” gint
The number of the deep learning model batches. Range: 1 to 256
Flags: Read, Write
Default value: 1
class-num
“class-num” gint
The classification number. Range: 1000 to 65535
Flags: Read, Write
Default value: 1000
label
“label” gchararray
The deep learning model label.
Flags: Read, Write
Default value: NULL
5.1.2 adtrans_ssd
This element implements a buffer list chain function. Previous elements should push a buffer list into this element.
The last buffer in the list will be seen as an inference result.
5.1.2.1 Examples Using gst-launch
The following pipeline translates the OpenVINO inference result using the ssd type model into a human-readable
format.
gst-launch-1.0 videotestsrc ! advino model=ssd.xml device=GPU ! adtrans_ssd max-
count=200 label=label.txt ! ximagesink
The following pipeline translates the TensorRT inference result using the ssd type model into a human-readable
format.
gst-launch-1.0 videotestsrc ! adrt model=ssd_mobilenetv2_tx2.engine batch=1
device=0 scale=0.0078 mean="0 0 0" ! adtrans_ssd max-count=200 label=label.txt !
ximagesink
Note : The element ‘xvimagesink’ is only supported on Linux. It is recommended to use the ‘glimagesink’ or
‘d3dvideosink’ elements to display the window on Windows.