DeepStream SDK FAQ

19. [DSx_All_App] How to use classification model as pgie?
The input is a blue car picture, we want to get the “blue” label, here is the test command: (37.6 KB)
dstest_appsrc_config.txt (3.7 KB) (8.2 MB)
1. copy Secondary_CarColor model if needed
if there is no Secondary_CarColor directory, execute unzip -o -d /opt/nvidia/deepstream/deepstream/samples/models
2. test
gst-launch-1.0 filesrc location=blueCar.jpg ! jpegdec ! videoconvert ! video/x-raw,format=I420 ! nvvideoconvert ! video/x-raw\(memory:NVMM\),format=NV12 ! mux.sink_0 nvstreammux name=mux batch-size=1 width=1280 height=720 ! nvinfer config-file-path=./dstest_appsrc_config.txt ! nvvideoconvert ! video/x-raw\(memory:NVMM\),format=RGBA ! nvdsosd ! nvvideoconvert ! video/x-raw,format=I420 ! jpegenc ! filesink location=out.jpg

[Access output of Primary Classifier]
[Resnet50 with imagenet dataset image classification using deepstream sdk]