I download peopleNet model in NV NGC,then Run the tlt-converter generate the engine.
export API_KEY= ‘tlt_encode’
export OUTPUT_NODES=output_bbox/BiasAdd,output_cov/Sigmoid
export INPUT_DIMS=3,960,544
export D_TYPE=fp32
export MODEL_PATH=resnet18_peoplenet.tlt
the error:
xxx:~/PeopleNet$ ./tlt-converter -k $API_KEY -o $OUTPUT_NODES -d $INPUT_DIMS $MODEL_PATH
[ERROR] UffParser: Unsupported number of graph 0
[ERROR] Failed to parse the model, please check the encoding key to make sure it’s correct
[ERROR] Network must have at least one output
[ERROR] Network validation failed.
[ERROR] Unable to create engine
Segmentation fault (core dumped)
I have converted peopleNet correctly,now I want to convert my own model(based on DetectNet_v2)
the new error:
./tlt-converter resnet18_detector.etlt -k aDl*************Y0 -o output_cov/Sigmoid,output_bbox/BiasAdd -d 3,720,1280 -i nchw -e peoplenet_fp16.engine -m 4 -t fp16 -b 2
[ERROR] UffParser: Could not parse MetaGraph from /tmp/filewQOHoP
[ERROR] Failed to parse the model, please check the encoding key to make sure it’s correct
[ERROR] Network must have at least one output
[ERROR] Network validation failed.
[ERROR] Unable to create engine
Segmentation fault (core dumped)
the model train in TLT with GPU 2080TI and tensorrt 7.0,I can run tlt-converter in this PC correctly,but when i try to convert this model in jetson nano, this Error occured above.
please help me !!!