Smart Video Workshop- Jupyter Notebook Support

HW-Acceleration-with-Movidious-NCS/Python/.ipynb_checkpoints/HW_Acceleration_with_Movidius_NCS-checkpoint.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"font-size: 19px\">\n",
+    "\n",
+    "# Intel® Movidius™ Neural Compute Stick (NCS)\n",
+    "\n",
+    "This lab shows how the Intel® Distribution of OpenVINO™ toolkit provides hardware abstraction to run the sample object detection application which was built in previous modules on Intel® Movidius™ Neural Compute Stick.\n",
+    "<br>\n",
+    "\n",
+    "### Connect Intel® Movidius™ Neural Compute Stick to your development laptop\n",
+    "<br>\n",
+    "<img src=\"Movidius.png\">\n",
+    "<br>\n",
+    "\n",
+    "### System check\n",
+    "<br>\n",
+    "\n",
+    "First make sure the USB rules are set up."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%writefile myriad1.sh\n",
+    "\n",
+    "cat <<EOF > 97-myriad-usbboot.rules\n",
+    "SUBSYSTEM==\"usb\", ATTRS{idProduct}==\"2150\", ATTRS{idVendor}==\"03e7\", GROUP=\"users\", MODE=\"0666\", ENV{ID_MM_DEVICE_IGNORE}=\"1\"\n",
+    "SUBSYSTEM==\"usb\", ATTRS{idProduct}==\"2485\", ATTRS{idVendor}==\"03e7\", GROUP=\"users\", MODE=\"0666\", ENV{ID_MM_DEVICE_IGNORE}=\"1\"\n",
+    "SUBSYSTEM==\"usb\", ATTRS{idProduct}==\"f63b\", ATTRS{idVendor}==\"03e7\", GROUP=\"users\", MODE=\"0666\", ENV{ID_MM_DEVICE_IGNORE}=\"1\"\n",
+    "EOF"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%bash\n",
+    "sh myriad1.sh"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!echo \"intel123\" | sudo -S cp 97-myriad-usbboot.rules /etc/udev/rules.d/ >/dev/null 2>&1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!echo \"intel123\" | sudo -S udevadm control --reload-rules >/dev/null 2>&1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!echo \"intel123\" | sudo -S udevadm trigger >/dev/null 2>&1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"font-size: 19px\">\n",
+    "    \n",
+    "Then check if the device is visible with lsusb."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!lsusb"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"font-size: 19px\">\n",
+    "\n",
+    "The output will be If using NCS1,\n",
+    "\n",
+    "```\n",
+    "Bus 002 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub\n",
+    "Bus 001 Device 015: ID 03e7:2150 \n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"font-size: 19px\">\n",
+    "\n",
+    "If useing NCS2,\n",
+    "```\n",
+    "Bus 002 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub\n",
+    "Bus 001 Device 015: ID 03e7:2485 \n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"font-size: 19px\">\n",
+    "Here ID 03e7:2150 without a description string is the Movidius device.\n",
+    "<br>\n",
+    "\n",
+    "Setting up the Environment variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "! /opt/intel/openvino/bin/setupvars.sh"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"font-size: 19px\">\n",
+    "    \n",
+    "### Run the sample application on Intel® Movidius™ Neural Compute Stick (NCS)\n",
+    "\n",
+    "Set target hardware as Intel® Movidius™ NCS with -d MYRIAD"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!cd /opt/intel/workshop/smart-video-workshop/object-detection && python3 tutorial1.py -i /opt/intel/workshop/smart-video-workshop/object-detection/Cars\\ -\\ 1900.mp4 -m /opt/intel/workshop/smart-video-workshop/object-detection/mobilenet-ssd/FP32/mobilenet-ssd.xml -d MYRIAD"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"font-size: 19px\">\n",
+    "\n",
+    "You will get an error as Intel® Movidius™ NCS supports only FP16 format. \n",
+    "<br>\n",
+    "<img src=\"FP32.png\">\n",
+    "<br>\n",
+    "\n",
+    "The Model Optimizer by default generate FP32 IR files if the data type is not particularly specified.\n",
+    "\n",
+    "Let's run the Model Optimizer to get IR files in FP16 format suitable for the Intel® Movidius™ NCS by setting the data_type flag to FP16."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!cd /opt/intel/workshop/smart-video-workshop/object-detection/mobilenet-ssd && mkdir -p FP16"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!cd /opt/intel/openvino/deployment_tools/model_optimizer && python3 mo_caffe.py --input_model /opt/intel/openvino/deployment_tools/tools/model_downloader/object_detection/common/mobilenet-ssd/caffe/mobilenet-ssd.caffemodel -o /opt/intel/workshop/smart-video-workshop/object-detection/mobilenet-ssd/FP16 --scale 256 --mean_values [127,127,127] --data_type FP16"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"font-size: 19px\">\n",
+    "    \n",
+    "Check if the .xml and .bin files are created in folder $SV/object-detection/mobilenet-ssd/FP16."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    " !cd /opt/intel/workshop/smart-video-workshop/object-detection/mobilenet-ssd/FP16 && ls"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div style=\"font-size: 19px\">\n",
+    "    \n",
+    "Now run the example application with these new IR files."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!cd /opt/intel/workshop/smart-video-workshop/object-detection/ && python3 tutorial1.py -i /opt/intel/workshop/smart-video-workshop/object-detection/Cars\\ -\\ 1900.mp4 -m /opt/intel/workshop/smart-video-workshop/object-detection/mobilenet-ssd/FP16/mobilenet-ssd.xml -d MYRIAD"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

HW-Acceleration-with-Movidious-NCS/Python/97-myriad-usbboot.rules

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+SUBSYSTEM=="usb", ATTRS{idProduct}=="2150", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
+SUBSYSTEM=="usb", ATTRS{idProduct}=="2485", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
+SUBSYSTEM=="usb", ATTRS{idProduct}=="f63b", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"