Face recognition python demo of OPenVINO R3.1

[liu__feifei]

Hi：

I run the face recognition demo according to README.md in the directory /home/<user>/intel/openvino/deployment_tools/open_model_zoo/demos/python_demos/face_recognition_demo, but can't recognize the face. The terminal commands executed are as follows:

python3 face_recognition_demo.py -m_fd /home/<modelPath>/face-detection-retail-0004.xml -m_lm /home/<modelPath>/landmarks-regression-retail-0009.xml -m_reid /home/<modelPath>/face-reidentification-retail-0095.xml -l /home/<user>/intel/openvino/deployment_tools/inference_engine/lib/intel64/libcpu_extension_sse4.so --verbose -fg "/home/<user>/data"

Part of the log printed in the terminal is as follows:

[ DEBUG ] 2019-12-11 10:33:07,917 Adding label liu-3 to the gallery.
[ DEBUG ] 2019-12-11 10:33:07,917 Adding label liu to the database
[ DEBUG ] 2019-12-11 10:33:07,917 The database length is 1.
[ DEBUG ] 2019-12-11 10:33:07,942 Adding label liu-2 to the gallery.
[ DEBUG ] 2019-12-11 10:33:07,942 Appending new descriptor for label liu.
[ DEBUG ] 2019-12-11 10:33:07,943 The database length is 1.
[ DEBUG ] 2019-12-11 10:33:07,972 Adding label fei to the gallery.
[ DEBUG ] 2019-12-11 10:33:07,973 Adding label fei to the database
[ DEBUG ] 2019-12-11 10:33:07,973 The database length is 2.
[ DEBUG ] 2019-12-11 10:33:08,004 Adding label liu-1 to the gallery.
[ DEBUG ] 2019-12-11 10:33:08,004 Appending new descriptor for label liu.
[ DEBUG ] 2019-12-11 10:33:08,004 The database length is 2.
[ INFO ] 2019-12-11 10:33:08,004 Database is built, registered 2 identities

Database creation and model input are correct, why the text above the face bounding box is always unknown?

Can anyone help?

Thanks.

[pkhan10 · Accepted solution]

hello,
I faced same issue,
you can increase t_id value from .3 to .4 or more.

[liu__feifei]

Dear khandelwal, prateek,

It worked when I changed the value of t_id.

Thanks.

[Stormy777]

I'm not sure how one can use this face recognition model. I had to bump the t_id to .5 before the unknowns showed some labels, but half the time they were wrong. I'm not sure how you can get a good recognition with 5 landmarks. Anyone able to use a 35 or 68 landmark model on this with better success?

[Stormy777]

I finally started seeing name labels once I made t_id=.5

However, the accuracy is very poor. I'm not sure how you can get reasonable good accuracy with 5 landmark detections.

Does anyone have any success with using 35 or 68 point landmark models? If so, could you share?