I’m trying to go through your Jetson-Inference tutorial, however I’m unable to run even the first script. I am not using custom code or models. Nothing from the repo is changed. I’m using: Jetson TX2, Cuda 9.0, TensorRT 4.0, Cuda 9.0
I’m getting the following when trying to run the imagenet console program:
nvidia@tegra-ubuntu:~/jetson-inference/build/aarch64/bin$ ./imagenet-console orange_0.pjg output_0.jpg
imagenet-console
args (3): 0 [./imagenet-console] 1 [orange_0.pjg] 2 [output_0.jpg]
imageNet -- loading classification network model from:
-- prototxt networks/googlenet.prototxt
-- model networks/bvlc_googlenet.caffemodel
-- class_labels networks/ilsvrc12_synset_words.txt
-- input_blob 'data'
-- output_blob 'prob'
-- batch_size 2
[TRT] TensorRT version 4.0.2
[TRT] attempting to open cache file networks/bvlc_googlenet.caffemodel.2.tensorcache
[TRT] cache file not found, profiling network model
[TRT] platform has FP16 support.
[TRT] loading networks/googlenet.prototxt networks/bvlc_googlenet.caffemodel
Weights for layer conv1/7x7_s2 doesn't exist
[TRT] CaffeParser: ERROR: Attempting to access NULL weights
Weights for layer conv1/7x7_s2 doesn't exist
[TRT] CaffeParser: ERROR: Attempting to access NULL weights
[TRT] Parameter check failed at: ../builder/Network.cpp::addConvolution::40, condition: kernelWeights.values != NULL
error parsing layer type Convolution index 1
[TRT] failed to parse caffe network
failed to load networks/bvlc_googlenet.caffemodel
failed to load networks/bvlc_googlenet.caffemodel
imageNet -- failed to initialize.
imagenet-console: failed to initialize imageNet
Any help is appreciated.