Open Maria-UET opened 5 years ago
Update: I also checked the sample code provided with openVINO 2019 installation, object_detection_demo_yolov3_async.py The result was the same Only one frame appears on the screen after running the code and then the code shuts down without any error message.
Thank you for pointing out. The problem you pointed out has been happening for quite some time. No solution has yet been found in the official forums.
[Required] Device : CPU i5
[Required] Your device's CPU architecture (armv7l, x86_64, or other architecture name): x86_64
[Required] Your OS (Raspbian, Ubuntu1604, or other os name): Windows
[Required] Details of the work you did before the problem occurred:
I tried to run the openvino_tiny-yolov3_test.py file with OpenVINO 2018 and my trained Yolo v3 tiny network. The inference works well with CPU but when I try with NCS2 (using -d MYRIAD), the result gives a lot of false positives. As is visible in the image attached. Later I found on this forum, https://software.intel.com/en-us/node/804818#comment-form that the issue is with OpenVino version with has a bug for in MYRIAD plugin.
So, I installed OpenVINO 2019 on the same machine, configured the inference engine, checked its installation by running sample code, then transformed the network into IR model by using mo_tf.py of openVINO 2019. When I re-ran openvino_tiny-yolov3_test.py with this openVINO 2019, it gave no results. Only one frame appears on the screen after running the code and then the code shuts down without any error message. Did I miss something?