Segmentation fault on readNetFromTensorflow [closed]
I'm currently trying to create a .pb file for the InceptionV3 that runs on OpenCV 3.3. The problem is that, even after using the prepare_for_dnn.py script I'm not able to load it using readNetFromTensorflow and I have no idea why.
I managed to create a .pbtxt file for this checkpointavailable on the internet, and I packaged all files (ckpt, pbtxt and my pb) in here: https://drive.google.com/open?id=0Bwy...
To create the pb using the ckpt and pbtxt, I ran the following command:
export TENSORFLOW=/path/to/tensorflow
python prepare_for_dnn.py -frz $TENSORFLOW/tensorflow/python/tools/freeze_graph.py -opt $TENSORFLOW/tensorflow/python/tools/optimize_for_inference.py -tr $TENSORFLOW/bazel-bin/tensorflow/tools/graph_transforms/transform_graph -net inception.pbtxt -ckpt inception_v3.ckpt -in_node Placeholder -out_node InceptionV3/Logits/AvgPool_1a_8x8/AvgPool -o inception-v3.pb
Then, I tried to load the model with this code:
#include <iostream>
#include <opencv2/dnn.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
using namespace cv;
using namespace cv::dnn;
using namespace std;
int main(int argc, char **argv) {
dnn::Net net = readNetFromTensorflow("inception-v3.pb");
}
but I'm getting segmentation fault. From gdb I get the following message:
Program received signal SIGSEGV, Segmentation fault.
0x00007ffff766baf0 in cv::dnn::experimental_dnn_v1::(anonymous namespace)::TFImporter::populateNet(cv::dnn::experimental_dnn_v1::Net) ()
from /usr/local/lib/libopencv_dnn.so.3.3
Anyone faced a similar problem? Thanks in advance for any help!
Can you pull master branch to be sure ?
@LBerger is right, there is no problem for me with the master branch.
Yes, it works with the master branch. Sorry for the trouble guys, and thank you for the help!