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.