Ceci est une ancienne révision du document !
Table des matières
Intel Neural Compute Stick 2
OpenVINO
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
https://docs.openvinotoolkit.org/latest/omz_tools_downloader.html
https://docs.openvinotoolkit.org/latest/omz_demos_human_pose_estimation_demo_python.html
Installation de OpenVINO
Installation
Suivre à la lettre ce tuto Intel: * Install Intel® Distribution of OpenVINO™ toolkit for Linux*
Faire l'installation avec:
sudo ./install_GUI.sh
et installer tout.
Extrait du bash_history
cd /media/data/exclude/l_openvino_toolkit_p_2021.3.394/ sudo ./install_GUI.sh cd /opt/intel/openvino_2021/install_dependencies sudo -E ./install_openvino_dependencies.sh sudo ./install_openvino_dependencies.sh source /opt/intel/openvino_2021/bin/setupvars.sh nano .bashrc cd /opt/intel/openvino_2021/deployment_tools/model_optimizer/install_prerequisites sudo ./install_prerequisites.sh sudo ./install_prerequisites_caffe.sh cd /opt/intel/openvino_2021/install_dependencies/ sudo -E su sudo usermod -a -G users "$(whoami)" sudo cp /opt/intel/openvino_2021/inference_engine/external/97-myriad-usbboot.rules /etc/udev/rules.d/ sudo udevadm control --reload-rules sudo udevadm trigger sudo ldconfig
Steps for Intel® Processor Graphics (GPU)
cd /opt/intel/openvino_2021/install_dependencies/ sudo -E su ./install_NEO_OCL_driver.sh # j'ai raté cette ligne !! Add OpenCL user to video group # et ça aussi
Steps for Intel® Neural Compute Stick 2
sudo usermod -a -G users "$(whoami)" sudo cp /opt/intel/openvino_2021/inference_engine/external/97-myriad-usbboot.rules /etc/udev/rules.d/ sudo udevadm control --reload-rules sudo udevadm trigger sudo ldconfig
Création des fichiers bin et xml à partir du caffemodel
Utilisation de OpenVino avec Realsense D455
Conversion du caffemodel en Intermediate Representation IR
Convert a Caffe* Model to produce an optimized Intermediate Representation (IR) of the model based on the trained network topology, weights, and biases values
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)
OpenCV Deep Neural Network module cv2.dnn
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 >>>