a fairly simple network (full code here) crashes the tf_importer OpenCV Error: Assertion failed (!beginsData.empty()) in populateNet, file C:\p\opencv\modules\dnn\src\tensorflow\tf_importer.cpp, line 941 def conv_net(x, n_classes, dropout, reuse, is_training): # Define a scope for reusing the variables with tf.variable_scope('ConvNet', reuse=reuse):
# Convolution Layer with 32 filters and a kernel size of 5
conv1 = tf.layers.conv2d(x, 32, 5, activation=tf.nn.relu)
# Max Pooling (down-sampling) with strides of 2 and kernel size of 2
conv1 = tf.layers.max_pooling2d(conv1, 2, 2)
# Convolution Layer with 32 filters and a kernel size of 5
conv2 = tf.layers.conv2d(conv1, 64, 3, activation=tf.nn.relu)
# Max Pooling (down-sampling) with strides of 2 and kernel size of 2
conv2 = tf.layers.max_pooling2d(conv2, 2, 2)
# Flatten the data to a 1-D vector for the fully connected layer
fc1 = tf.contrib.layers.flatten(conv2)
# Fully connected layer (in contrib folder for now)
fc1 = tf.layers.dense(fc1, 1024)
# Apply Dropout (if is_training is False, dropout is not applied)
fc1 = tf.layers.dropout(fc1, rate=dropout, training=is_training)
# Output layer, class prediction
out = tf.layers.dense(fc1, n_classes)
# Because 'softmax_cross_entropy_with_logits' already apply softmax,
# we only apply softmax to testing network
out = tf.nn.softmax(out) if not is_training else out
return out
then we have:
python freeze.py --output_node ConvNet/Softmax --model_dir .
python optimize_for_inference.py --input frozen_model.pb --output face_opt.pb --frozen_graph True --input_names ConvNet_1/conv2d/convolution --output_names ConvNet_1/Softmax
and some minimal c++ code, to load it into the dnn:
#include <opencv2/dnn.hpp>
#include <opencv2/opencv.hpp>
using namespace cv;
using namespace cv::dnn;
using namespace std;
int main(int argc, char **argv)
{
String modelBin = "mnist/face_opt.pb";
String imageFile = (argc > 1) ? argv[1] : "test.jpg";
Net net = dnn::readNetFromTensorflow(modelBin);
Mat img = imread(imageFile, 0);
resize(img, img, Size(64,64));
Mat inputBlob = blobFromImage(img);
net.setInput(inputBlob, "ConvNet_1/conv2d/convolution");
Mat probMat = net.forward();
Point p; minMaxLoc(probMat, 0,0,0, &p);
cout << p.x << " " << probMat << endl;
return 0;
}
resulting in a crash:
OpenCV Error: Assertion failed (!beginsData.empty()) in populateNet, file C:\p\opencv\modules\dnn\src\tensorflow\tf_importer.cpp, line 941
debugging it a bit, i see, that tf inserted some layers here:
at C:\p\opencv\modules\dnn\src\tensorflow\tf_importer.cpp:623
623 LayerParams layerParams;
(gdb) p name.c_str()
$1 = 0x5b21644 "ConvNet/conv2d/bias"
...
$2 = 0x5b21684 "ConvNet/conv2d_1/kernel"
$3 = 0x5b216c4 "ConvNet/conv2d_1/bias"
$4 = 0x5b215c4 "ConvNet/dense/kernel"
$5 = 0x5b21584 "ConvNet/dense/bias"
$6 = 0x5b215c4 "ConvNet/dense_1/kernel"
$7 = 0x5b21644 "ConvNet/dense_1/bias"
$8 = 0x5b21244 "ConvNet_1/conv2d/convolution"
$9 = 0x5b21684 "ConvNet_1/conv2d/BiasAdd"
$10 = 0x5b214c4 "ConvNet_1/conv2d/Relu"
$11 = 0x5b6c7c4 "ConvNet_1/max_pooling2d/MaxPool"
$12 = 0x5b6c304 "ConvNet_1/conv2d_2/convolution"
$13 = 0x5b6cb04 "ConvNet_1/conv2d_2/BiasAdd"
$14 = 0x5b6d2c4 "ConvNet_1/conv2d_2/Relu"
$15 = 0x5b21104 "ConvNet_1/max_pooling2d_2/MaxPool"
$16 = 0x5b6d6c4 "ConvNet_1/Flatten/Shape"
$17 = 0x5b6ec44 "ConvNet_1/Flatten/Slice/begin"
$18 = 0x5b6ec44 "ConvNet_1/Flatten/Slice/size"
$19 = 0x5b6ed84 "ConvNet_1/Flatten/Slice"
looking here: i see, that beginsData is indeed an empty string, while sizesData seems to contain something.