- OpenCV => 3.4
- Operating System - Ubuntu 16.04
- Python - 3.5
Following the instructions given in "[TensorFlow Object Detection API](https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API)" I'm trying to run my trained graph based on Inception v2 SSD in OpenCV, but I get the following errors:
When I used not optimized for inference graph I get the following error:
[ INFO:0] Initialize OpenCL runtime...
OpenCV Error: Assertion failed (!_aspectRatios.empty()) in PriorBoxLayerImpl, file /io/opencv/modules/dnn/src/layers/prior_box_layer.cpp, line 207
Traceback (most recent call last):
File "opencvInf.py", line 9, in
cvOut = cvNet.forward()
cv2.error: /io/opencv/modules/dnn/src/layers/prior_box_layer.cpp:207: error: (-215) !_aspectRatios.empty() in function PriorBoxLayerImpl
After that I tried to optimize the graph using optimize_for_inference.py script, but it does not solve the problem: Now I get another error;
OpenCV Error: Unspecified error (Input layer not found: FeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm) in connect, file /io/opencv/modules/dnn/src/tensorflow/tf_importer.cpp, line 553
Traceback (most recent call last):
File "opencvInf.py", line 3, in
cvNet = cv.dnn.readNetFromTensorflow('opt_graph.pb', 'graph.pbtxt')
cv2.error: /io/opencv/modules/dnn/src/tensorflow/tf_importer.cpp:553: error: (-2) Input layer not found: FeatureExtractor/InceptionV2/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm in function connect
Could somebody tell how to solve this?
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