Intel Neural Compute Stick 2 est un calculateur, adapté aux produits Intel, dixit Intel.
IL a été concu pour être un calculateur sur un PC sans GPU, genre Raspberry Pi.

OpenVINO est un fork de OpenCV, optmisé pour les produits Intel:

• Intel Neural Compute Stick 2
• Le GPU intégré aux CPU Intel: genre HD 530

Suivre à la lettre ce tuto Intel: * Install Intel® Distribution of OpenVINO™ toolkit for Linux*

bug realsense E: Impossible de récupérer http://realsense-hw-public.s3.amazonaws.com/Debian/apt-repo/dists/bionic/InRelease 403 Forbidden [IP : 52.218.108.170 80]

Dans le sources.list http://realsense-hw-public.s3.amazonaws.com/Debian/apt-repo/dists/bionic/InRelease devient

https://librealsense.intel.com/Debian/apt-repo

https://docs.openvinotoolkit.org/latest/omz_tools_downloader.html

https://docs.openvinotoolkit.org/latest/omz_demos_human_pose_estimation_demo_python.html

https://en.wikipedia.org/wiki/OpenVINO

Convert a Caffe* Model to produce an optimized Intermediate Representation (IR) of the model based on the trained network topology, weights, and biases values

• https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_Caffe.html

Dans le dossier du caffemodel:

python3 /opt/intel/openvino_2021/deployment_tools/model_optimizer/mo.py --input_model pose.caffemodel --input_proto pose.prototxt

Les fichiers .caffemodel et .prototxt doivent avoir les mêmes noms

mo.utils.error.Error: Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): Stopped shape/value propagation at "pool1_stage1" node. 

For more information please refer to Model Optimizer FAQ, question #38. (https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html?question=38#question-38)

• https://docs.opencv.org/4.5.2/d6/d0f/group__dnn.html

serge@serge-PS42-8M:~$ python3
Python 3.6.9 (default, Jan 26 2021, 15:33:00) 
[GCC 8.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
>>> print(cv2.__version__)
4.5.2-openvino
>>>