X-window Video - depending on the app, this could include: USB camera video device index X (/dev/videoX) -t :Number of threads Uses live USB video stream as input to the model Input_file_result.jpg - depending on the app, this could include: Provides a single image as an input to the model The compatible model download filenames are: It is compatible with all three of the platforms provided by the Ubuntu 20.04 Certified Image for Xilinx ZCU10x Evaluation Boards and the firmware provided by the xlnx-nlp-smartvision snap.Ĭustom designs that include a DPU compatible with the v1.3.1 Model Zoo Models for the zcu102/zcu104 and the KV260 will work as well. The xlnx-vai-lib-samples snap is compatible with DPU configurations that match the Xilinx Model Zoo models associated with the zcu102/zcu104 and the KV260 accelerated applications. The snap will also download models on demand from the Xilinx model zoo and store them locally for future use. Then, the snap will call the appropriate sub-application with the proper arguments such that the proper test-specific application is called. The xlnx-vai-lib-samples app provides wrappers for these tests, implemented as “sub-applications”, which will check the supplied “sample app” and “model name” arguments, and confirm that they are a valid combination. The readme for this sample app indicates that the following models are compatible with this app: The build produces the following 4 applications: Take, for example, the facedetect sample app. The output applications from building each sample app in the samples directory produces a set of test_ executables. The current version supports Vitis-AI v1.3.2.
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