I have retrained Inception v3 model with new data set using keras, converted the h5 model file to .pb file and deployed the .pb file in Jetson TX2 and converted .pb file to .plan file.
I have done this process before and my previously generated models(.plan format) works perfectly fine. However, when I use the newly generated model for inference, it starts classifying and gives results for the first image and then it crashes with the following error message - segmentation fault ( core dumped).
nvidia@tegra-ubuntu:~/rm_project/fedexte-image-classification-tx2$ ./inference_engine -d jetson_test/ test_gen2.plan label_rm.txt inception_v3_input dense_1/Softmax
Loading TensorRT engine from plan file…
Processing input…(filename: jetson_test//001355.jpg)
Processing time for image: 48.3886ms (20.666 fps)
Classified as: vehicle
0. background : 0.06691%
- person : 0.0439464%
- vehicle : 99.8891%
Segmentation fault (core dumped)
Any assistance will be much appreciated.