Hello,

I am trying to reproduce the first tutorial in object detection. I get to the point of running

sudo python3 tutorial1.py -i $SV/object-detection/Cars\ -\ 1900.mp4 -m $SV/object-detection/mobilenet-ssd/FP32/mobilenet-ssd.xml

and get an error: ModuleNotFoundError: No module named 'openvino'

In line 25 of tutoriall1.py there is a 'from openvino.inference_engine ...' command which is not recognised. I have OpenVINO running in my mac and I had initialised the openvino variables.

Could you help me with this?

Thank you,

Veronica.

the extgen.py file in Link does not exists in latest openvino(openvino_2020.4.287). How can I add custom op now?

In CMakeLists.txt file line 49:

"/opt/intel/openvino_2019.1.094/deployment_tools/inference_engine/external/tbb/include"

TBB include is constrained with version number, fails to build and harder to validate for new versions.

Better to change : "/opt/intel/openvino/deployment_tools/inference_engine/external/tbb/include"

Hi

Trained SSD_MOBILENET_V2 for two new classes taking pre trained weights of SSD_MOBILENT_v2 from tensorflow zoo.
Problem statement : Able to convert pre trained models into IR(xml and bin) using mo_tf.py. But, not able to convert the model we have trained for. Can you please help us to solve the problem.

@priyanka-bagade I am successfully run with the security_barrier_camera_demo. But at the time of interactive_face_detection_demo I am getting the error message like

[ ERROR ] Cannot make shared blob! The blob type cannot be used to store objects of current precision

Can you please help me to solve the problem.

Hi

I was able to convert the MobileNets model but cannot seem to build the sample application with the make file:
main.cpp:29:25: fatal error: ie_device.hpp: No such file or directory
compilation terminated.
Makefile:2: recipe for target 'all' failed
make: *** [all] Error 1

Kindly advise.
Umer

I use below command to convert .pb file to .xml and bin file.
"python mo_tf.py --input_model frozen_inference_graph.pb"
The frozen_inference_graph.pb file is download pretrain model of faster_rcnn_inception_v2_coco.
It show below error message:

WARNING: Logging before flag parsing goes to stderr.
E0918 18:03:22.582442 11896 infer.py:160] Shape [-1 -1 -1 3] is not fully defin
ed for output 0 of "image_tensor". Use --input_shape with positive integers to o
verride model input shapes.
E0918 18:03:22.582442 11896 infer.py:180] Cannot infer shapes or values for node
"image_tensor".
E0918 18:03:22.582442 11896 infer.py:181] Not all output shapes were inferred or
fully defined for node "image_tensor".
For more information please refer to Model Optimizer FAQ (https://docs.openvino
toolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question
#40.
E0918 18:03:22.582442 11896 infer.py:182]
E0918 18:03:22.583442 11896 infer.py:183] It can happen due to bug in custom sha
pe infer function <function Parameter.init.. at 0x000000003B
AEC158>.
E0918 18:03:22.583442 11896 infer.py:184] Or because the node inputs have incorr
ect values/shapes.
E0918 18:03:22.583442 11896 infer.py:185] Or because input shapes are incorrect
(embedded to the model or passed via --input_shape).
E0918 18:03:22.589442 11896 infer.py:194] Run Model Optimizer with --log_level=D
EBUG for more information.
E0918 18:03:22.589442 11896 main.py:307] Exception occurred during running repla
cer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): St
opped shape/value propagation at "image_tensor" node.
For more information please refer to Model Optimizer FAQ (https://docs.openvino

what's wrong ?

.PDF is not in sync with RTP presentation from 3/18. e.g. projected slide 19 aligns with github BLOB page 18

What is the original statement of OPENVINO?

Does OPENVINO mean "OPEN Vision Inference Neural-network Optimization"?

in Part 1 of the object detection example, the following line does not work:

python3 mo_caffe.py --input_model $SV/object-detection/models/sqeeznet_ssd/squeezenet_ssd.caffemodel -o $SV/object-detection/models/sqeeznet_ssd/

because the file sqeezenet_ssd.caffemodel cannot be found.

I am trying to use the optimizer to create an optimized IR using the following command.

sudo python3 mo_tf.py --input_model ~/Downloads/ssd_inception_v2.pb -o $SV/object-detection/inception_v2-ssd/FP32 --scale 256 --mean_values [127,127,127]

I got the following Error. I tried another tensor flow model and got the same error.

[ ERROR ] -------------------------------------------------
[ ERROR ] ----------------- INTERNAL ERROR ----------------
[ ERROR ] Unexpected exception happened.
[ ERROR ] Please contact Model Optimizer developers and forward the following information:
[ ERROR ] Graph contains a cycle.
[ ERROR ] Traceback (most recent call last):
File "/opt/intel/computer_vision_sdk_2018.1.249/deployment_tools/model_optimizer/mo/main.py", line 222, in main
return driver(argv)
File "/opt/intel/computer_vision_sdk_2018.1.249/deployment_tools/model_optimizer/mo/main.py", line 190, in driver
mean_scale_values=mean_scale)
File "/opt/intel/computer_vision_sdk_2018.1.249/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 141, in tf2nx
partial_infer(graph)
File "/opt/intel/computer_vision_sdk_2018.1.249/deployment_tools/model_optimizer/mo/middle/passes/infer.py", line 55, in partial_infer
nodes = nx.topological_sort(graph)
File "/home/ubuntu/.local/lib/python3.5/site-packages/networkx/algorithms/dag.py", line 157, in topological_sort
raise nx.NetworkXUnfeasible("Graph contains a cycle.")
networkx.exception.NetworkXUnfeasible: Graph contains a cycle.

[ ERROR ] ---------------- END OF BUG REPORT --------------
[ ERROR ] -------------------------------------------------