Please provide complete information as applicable to your setup.
⢠Hardware Platform (Jetson / GPU) ⢠DeepStream Version ⢠JetPack Version (valid for Jetson only) ⢠TensorRT Version ⢠NVIDIA GPU Driver Version (valid for GPU only) ⢠Issue Type( questions, new requirements, bugs) ⢠How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing) ⢠Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
Hello @kayccc,
I am using 4GB Jetson Nano, Deepstream5.1, Jetpack version 4.5-b129, TensorRT version 7.1.3, using this default resnet10.caffemodel_b30_gpu0_fp16.engine model with four classes , car, bicycle, person, roadsign
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# Add nvvidconv1 and filter1 to convert the frames to RGBA
# which is easier to work with in Python.
print(âCreating nvvidconv1 \n â)
nvvidconv1 = Gst.ElementFactory.make(ânvvideoconvertâ, âconvertor1â)
if not nvvidconv1:
sys.stderr.write(â Unable to create nvvidconv1 \nâ)
print(âCreating filter1 \n â)
caps1 = Gst.Caps.from_string(âvideo/x-raw(memory:NVMM), format=RGBAâ)
filter1 = Gst.ElementFactory.make(âcapsfilterâ, âfilter1â)
if not filter1:
sys.stderr.write(â Unable to get the caps filter1 \nâ)
filter1.set_property(âcapsâ, caps1)
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