{"id":7495,"date":"2024-10-28T09:04:28","date_gmt":"2024-10-28T09:04:28","guid":{"rendered":"https:\/\/www.mixtile.com\/?post_type=ht_kb&#038;p=7495"},"modified":"2024-11-04T03:52:56","modified_gmt":"2024-11-04T03:52:56","slug":"monitoring-parking-space-occupancy-with-yolo-on-hailo-8l","status":"publish","type":"ht_kb","link":"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/","title":{"rendered":"Monitoring Parking Space Occupancy with YOLO on Hailo-8L"},"content":{"rendered":"<div class=\"wp-block-jetpack-markdown\"><p><!-- # Monitoring Parking Space Occupancy with YOLO on Hailo-8L--><\/p>\n<h2>\u30b9\u30c8\u30fc\u30ea\u30fc<\/h2>\n<p><img src=\"https:\/\/i0.wp.com\/downloads.mixtile.com\/doc-images\/hailo\/car-space-occupancy\/output-single-car.jpeg?w=1020&#038;ssl=1\" alt=\"\" data-recalc-dims=\"1\"><\/p>\n<p>Monitoring parking space occupancy is crucial for effective parking management. Object detection techniques make it possible to detect whether a vehicle has occupied a specific parking space in real time, all without human intervention, speeding up and streamlining parking space management.<\/p>\n<p>You Only Look Once (YOLO) is a state-of-the-art, real-time object detection algorithm. YOLO models have been popular for their performance and accuracy in object detection in images and videos.<\/p>\n<p>YOLO models can detect cars and some vehicles out of the box. Therefore, with the power of YOLO object detection, we can easily get a parking space&#8217;s status like this:<\/p>\n<p><img src=\"https:\/\/i0.wp.com\/downloads.mixtile.com\/doc-images\/hailo\/car-space-occupancy\/car-detection-flowchart.png?w=1020&#038;ssl=1\" alt=\"\" data-recalc-dims=\"1\"><\/p>\n<p><img src=\"https:\/\/i0.wp.com\/downloads.mixtile.com\/doc-images\/hailo\/car-space-occupancy\/detect-cars-output.jpg?w=1020&#038;ssl=1\" alt=\"\" data-recalc-dims=\"1\"><\/p>\n<h2>\u3053\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u4f7f\u7528\u3057\u305f\u3082\u306e<\/h2>\n<p><strong>Hardware:<\/strong><\/p>\n<ul>\n<li>Mixtile Blade 3<\/li>\n<li>Hailo-8L<\/li>\n<li>USB camera<\/li>\n<\/ul>\n<p><strong>Software:<\/strong><\/p>\n<ul>\n<li>AI Software Suite<\/li>\n<li>YOLOv8m model<\/li>\n<\/ul>\n<h2>How it works<\/h2>\n<p>Mixtile Blade 3 (also known as Blade 3), designed for edge AI applications, is a high-performance single-board computer with 6-TOPS NPU. With its expandable U.2 interface, it can integrate with a Hailo AI accelerator for higher AI performance.<\/p>\n<p>In this document, we run a YOLO model on Blade 3 powered by Hailo-8L to detect if a car is in a parking space in real time to get a parking space&#8217;s occupancy.<\/p>\n<p>For easier implementation, this document uses a ready-to-use YOLOv8m model pre-trained and compiled by Hailo. If you need more specific customizations and higher accuracy, you can train and compile your own model.<\/p>\n<p><strong>Model performance:<\/strong><\/p>\n<table>\n<thead>\n<tr>\n<th>Network Name<\/th>\n<th>mAP<\/th>\n<th>Quantized<\/th>\n<th>FPS (Batch Size=1)<\/th>\n<th>FPS (Batch Size=8)<\/th>\n<th>Input Resolution (HxWxC)<\/th>\n<th>Params (M)<\/th>\n<th>OPS (G)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>yolov8m<\/td>\n<td>49.91<\/td>\n<td>0.74<\/td>\n<td>38<\/td>\n<td>60<\/td>\n<td>640x640x3<\/td>\n<td>25.9<\/td>\n<td>78.93<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<blockquote>\n<p>\u6ce8\uff1a<\/p>\n<p>For other ready-to-use models, go to <a href=\"https:\/\/github.com\/hailo-ai\/hailo_model_zoo\/tree\/master\/docs\/public_models\">hailo_model_zoo<\/a>.\nThis guide uses Hailo-8L. If you use another Hailo AI accelerator, use a model compatible with your product.<\/p>\n<\/blockquote>\n<h2>\u30b9\u30bf\u30fc\u30c8<\/h2>\n<h3>\u6e96\u5099<\/h3>\n<ul>\n<li>\n<p>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb <a href=\"https:\/\/downloads.mixtile.com\/blade3\/image\/image-release-rockchip-format-mixtile-blade3-ubuntu22.04-desktop-240327.img.zip\">Ubuntu 22.04 Desktop<\/a> to Blade 3 (see <a href=\"https:\/\/www.mixtile.com\/ja\/docs\/installing-an-operating-system-on-mixtile-blade-3\/\">Installing an Operating System on Mixtile Blade 3<\/a>).<\/p>\n<\/li>\n<li>\n<p>Connect Blade 3 to the Internet.<\/p>\n<\/li>\n<li>\n<p>Connect Blade 3 to a monitor.<\/p>\n<\/li>\n<li>\n<p>Connect Blade 3 to a USB camera (a USB-C hub is needed).<\/p>\n<\/li>\n<li>\n<p>Install Hailo-8L to Blade 3 (a U.2 to M.2 NVMe adapter is needed) as follows:<\/p>\n<p><img src=\"https:\/\/i0.wp.com\/downloads.mixtile.com\/doc-images\/hailo\/hailo-on-blade3.jpeg?w=1020&#038;ssl=1\" alt=\"\" data-recalc-dims=\"1\"><\/p>\n<\/li>\n<\/ul>\n<h3>Setting up Hailo and YOLO environments<\/h3>\n<h4>Setting up Hailo environments<\/h4>\n<p>To integrate a Hailo AI accelerator with Blade 3, install HailoRT, PCIe Driver, and TAPPAS.<\/p>\n<h5>Installing HailoRT and PCIe Driver<\/h5>\n<ol>\n<li>\n<p>Log in to Blade 3 as a standard user.<\/p>\n<\/li>\n<li>\n<p>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb <code>dkms<\/code>:<\/p>\n<pre><code class=\"language-sh\">sudo apt-get update -y &amp;&amp; sudo apt-get install -y dkms\n<\/code><\/pre>\n<\/li>\n<li>\n<p>Download HailoRT and PCIe Driver to a desired directory:<\/p>\n<pre><code class=\"language-sh\">wget https:\/\/downloads.mixtile.com\/doc-files\/hailo\/hailort-pcie-driver_4.19.0_all.deb \\\nhttps:\/\/downloads.mixtile.com\/doc-files\/hailo\/hailort_4.19.0_arm64.deb\n<\/code><\/pre>\n<\/li>\n<li>\n<p>Install HailoRT and PCIe Driver:<\/p>\n<pre><code class=\"language-sh\">sudo apt install .\/hailort-pcie-driver_4.19.0_all.deb .\/hailort_4.19.0_arm64.deb\n<\/code><\/pre>\n<p>Note: If messages below are prompted, input <code>y<\/code>:<\/p>\n<pre><code class=\"language-sh\">Do you wish to activate hailort service? (required for most pyHailoRT use cases) [y\/N]:\nDo you wish to use DKMS? [Y\/n]:\n<\/code><\/pre>\n<\/li>\n<li>\n<p>Reboot Blade 3.<\/p>\n<\/li>\n<li>\n<p>Verify if the Hailo AI accelerator is recognized by the system:<\/p>\n<pre><code class=\"language-sh\">hailortcli fw-control identify\n<\/code><\/pre>\n<p>If successfully recognized, it returns device details such as the board name and serial number.<\/p>\n<\/li>\n<\/ol>\n<h5>Installing TAPPAS<\/h5>\n<ol>\n<li>\n<p>Install dependencies, which might take about several minutes:<\/p>\n<pre><code class=\"language-sh\">sudo apt-get install -y rsync ffmpeg x11-utils python3-dev python3-pip python3-setuptools python3-virtualenv python-gi-dev \\\nlibgirepository1.0-dev gcc-12 g++-12 cmake git libzmq3-dev librga-dev libopencv-dev python3-opencv libcairo2-dev libgirepository1.0-dev \\\nlibgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libgstreamer-plugins-bad1.0-dev gstreamer1.0-plugins-base gstreamer1.0-plugins-good \\\ngstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav gstreamer1.0-tools gstreamer1.0-x gstreamer1.0-alsa gstreamer1.0-gl \\\ngstreamer1.0-gtk3 gstreamer1.0-qt5 gstreamer1.0-pulseaudio python-gi-dev python3-gi python3-gi-cairo gir1.2-gtk-3.0 v4l-utils\n<\/code><\/pre>\n<p><!-- Time: several minutes --><\/p>\n<\/li>\n<li>\n<p>Install TAPPAS:<\/p>\n<pre><code class=\"language-sh\">git clone https:\/\/github.com\/hailo-ai\/tappas -b v3.29.0\ncd tappas\n.\/install.sh --skip-hailort\n<\/code><\/pre>\n<blockquote>\n<p>\u6ce8\uff1a<\/p>\n<ol>\n<li>The installation may take about an hour to complete.<\/li>\n<li>Enter the password when prompted.<\/li>\n<\/ol>\n<\/blockquote>\n<\/li>\n<li>\n<p>Verify TAPPAS installation:<\/p>\n<pre><code class=\"language-sh\">gst-inspect-1.0 hailotools\n<\/code><\/pre>\n<p>If the installation is successful, it returns information about hailotools, including its filename and version.<\/p>\n<\/li>\n<\/ol>\n<h4>Setting up YOLO environments<\/h4>\n<ol>\n<li>\n<p>Clone the repository:<\/p>\n<pre><code class=\"language-sh\">git clone https:\/\/github.com\/hailo-ai\/hailo-rpi5-examples.git\ngit checkout 123e675 # The main branch currently has an unfixed bug. Checkout to this tested commit as a workaround.\ncd hailo-rpi5-examples\n<\/code><\/pre>\n<\/li>\n<li>\n<p>Download the YOLOv8m model:<\/p>\n<pre><code class=\"language-sh\">wget https:\/\/hailo-model-zoo.s3.eu-west-2.amazonaws.com\/ModelZoo\/Compiled\/v2.13.0\/hailo8l\/yolov8m.hef\n<\/code><\/pre>\n<\/li>\n<li>\n<p>Set up environments:<\/p>\n<pre><code class=\"language-sh\">source setup_env.sh\n<\/code><\/pre>\n<\/li>\n<li>\n<p>\u4f9d\u5b58\u95a2\u4fc2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\uff1a<\/p>\n<pre><code class=\"language-sh\">pip install -r requirements.txt\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>Detecting cars<\/h3>\n<p>After all the setup, now let&#8217;s get into the most exciting part: detecting cars in the parking space!<\/p>\n<ol>\n<li>\n<p>(Optional) If you have performed the operations above from remote access such as SSH, before detecting cars, you need to connect Blade 3 to a monitor, open Blade 3&#8217;s terminal, and run the commands below to set up the environments again. Otherwise, errors will occur.<\/p>\n<pre><code class=\"language-sh\">cd hailo-rpi5-examples\nsource setup_env.sh\n<\/code><\/pre>\n<blockquote>\n<p>If you have restarted Blade 3 or opened a new terminal, also perform this step to set up the environments.<\/p>\n<\/blockquote>\n<\/li>\n<li>\n<p>Find your USB camera device:<\/p>\n<pre><code class=\"language-sh\">v4l2-ctl --list-devices\n<\/code><\/pre>\n<p>The output is similar to the one below:<\/p>\n<pre><code>2K USB Camera: 2K USB Camera (usb-xhci-hcd.10.auto-1.4.1):\n    \/dev\/video1\n    \/dev\/video2\n    \/dev\/media0\n<\/code><\/pre>\n<p>In most cases, the first device <code>\/dev\/video1<\/code> is your USB camera.<\/p>\n<\/li>\n<li>\n<p>Perform inference:<\/p>\n<p><strong>Option 1: perform inference on a USB camera source:<\/strong><\/p>\n<pre><code>python basic_pipelines\/detection.py --hef-path yolov8m.hef --input \/dev\/video1\n<\/code><\/pre>\n<p><strong>Option 2: perform inference on a video file:<\/strong><\/p>\n<ol>\n<li>\n<p>Put the input video file to a desired directory. To quickly try out the detection feature, you can download the example video below:<\/p>\n<pre><code class=\"language-sh\">wget https:\/\/downloads.mixtile.com\/doc-files\/hailo\/parking_space.mp4\n<\/code><\/pre>\n<\/li>\n<li>\n<p>Start inference:<\/p>\n<pre><code class=\"language-sh\">python basic_pipelines\/detection.py --hef-path yolov8m.hef --input parking_space.mp4\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<ul>\n<li><code>--hef-path<\/code> (optional): path to the pre-trained hef model. If not set, <code>YOLOv6n<\/code> is used by default.<\/li>\n<li><code>--input<\/code> (required): path to the input video source to perform inference on. It can be a USB camera or video file.<\/li>\n<\/ul>\n<p>You should see an output video as follows:<\/p>\n<p><img src=\"https:\/\/i0.wp.com\/downloads.mixtile.com\/doc-images\/hailo\/car-space-occupancy\/car-detected-small.gif?w=1020&#038;ssl=1\" alt=\"\" data-recalc-dims=\"1\"><\/p>\n<p>From the output video, you can easily determine a parking space&#8217;s status:<\/p>\n<ul>\n<li>If a car is detected in the parking space: occupied<\/li>\n<li>If no car is detected in the parking space: available<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h2>Next steps<\/h2>\n<p>This document only uses a pre-trained and compiled model provided by Hailo, meaning that it still has a lot of limitations. You can further train your own model to detect specific items, configure alerts for the results, and do so much more based on your needs. There are a lot of possibilities for you to find out, and here are some:<\/p>\n<ul>\n<li>Count cars entering a parking space.<\/li>\n<li>Monitor vehicle movement in a parking space.<\/li>\n<li>Count available parking spaces.<\/li>\n<li>Detect whether cars are well-parked in restricted areas.<\/li>\n<li>&#8230;<\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":110,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"spay_email":""},"ht-kb-category":[209],"ht-kb-tag":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Monitoring Parking Space Occupancy with YOLO on Hailo-8L | Mixtile<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Monitoring Parking Space Occupancy with YOLO on Hailo-8L | Mixtile\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/\" \/>\n<meta property=\"og:site_name\" content=\"Mixtile\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-04T03:52:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/downloads.mixtile.com\/doc-images\/hailo\/car-space-occupancy\/output-single-car.jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.mixtile.com\/ja\/#organization\",\"name\":\"Mixtile Limited\",\"url\":\"https:\/\/www.mixtile.com\/ja\/\",\"sameAs\":[],\"logo\":{\"@type\":\"ImageObject\",\"@id\":\"https:\/\/www.mixtile.com\/ja\/#logo\",\"inLanguage\":\"ja\",\"url\":\"https:\/\/dh19rycdk230a.cloudfront.net\/app\/uploads\/2022\/02\/logo.svg\",\"contentUrl\":\"https:\/\/dh19rycdk230a.cloudfront.net\/app\/uploads\/2022\/02\/logo.svg\",\"caption\":\"Mixtile Limited\"},\"image\":{\"@id\":\"https:\/\/www.mixtile.com\/ja\/#logo\"}},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.mixtile.com\/ja\/#website\",\"url\":\"https:\/\/www.mixtile.com\/ja\/\",\"name\":\"Mixtile\",\"description\":\"Hardware for IoT Solutions\",\"publisher\":{\"@id\":\"https:\/\/www.mixtile.com\/ja\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.mixtile.com\/ja\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"ja\"},{\"@type\":\"ImageObject\",\"@id\":\"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/#primaryimage\",\"inLanguage\":\"ja\",\"url\":\"https:\/\/downloads.mixtile.com\/doc-images\/hailo\/car-space-occupancy\/output-single-car.jpeg\",\"contentUrl\":\"https:\/\/downloads.mixtile.com\/doc-images\/hailo\/car-space-occupancy\/output-single-car.jpeg\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/#webpage\",\"url\":\"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/\",\"name\":\"Monitoring Parking Space Occupancy with YOLO on Hailo-8L | Mixtile\",\"isPartOf\":{\"@id\":\"https:\/\/www.mixtile.com\/ja\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/#primaryimage\"},\"datePublished\":\"2024-10-28T09:04:28+00:00\",\"dateModified\":\"2024-11-04T03:52:56+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/#breadcrumb\"},\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.mixtile.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Monitoring Parking Space Occupancy with YOLO on Hailo-8L\"}]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Monitoring Parking Space Occupancy with YOLO on Hailo-8L | Mixtile","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/","og_locale":"ja_JP","og_type":"article","og_title":"Monitoring Parking Space Occupancy with YOLO on Hailo-8L | Mixtile","og_url":"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/","og_site_name":"Mixtile","article_modified_time":"2024-11-04T03:52:56+00:00","og_image":[{"url":"https:\/\/downloads.mixtile.com\/doc-images\/hailo\/car-space-occupancy\/output-single-car.jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Organization","@id":"https:\/\/www.mixtile.com\/ja\/#organization","name":"Mixtile Limited","url":"https:\/\/www.mixtile.com\/ja\/","sameAs":[],"logo":{"@type":"ImageObject","@id":"https:\/\/www.mixtile.com\/ja\/#logo","inLanguage":"ja","url":"https:\/\/dh19rycdk230a.cloudfront.net\/app\/uploads\/2022\/02\/logo.svg","contentUrl":"https:\/\/dh19rycdk230a.cloudfront.net\/app\/uploads\/2022\/02\/logo.svg","caption":"Mixtile Limited"},"image":{"@id":"https:\/\/www.mixtile.com\/ja\/#logo"}},{"@type":"WebSite","@id":"https:\/\/www.mixtile.com\/ja\/#website","url":"https:\/\/www.mixtile.com\/ja\/","name":"Mixtile","description":"Hardware for IoT Solutions","publisher":{"@id":"https:\/\/www.mixtile.com\/ja\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.mixtile.com\/ja\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"ja"},{"@type":"ImageObject","@id":"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/#primaryimage","inLanguage":"ja","url":"https:\/\/downloads.mixtile.com\/doc-images\/hailo\/car-space-occupancy\/output-single-car.jpeg","contentUrl":"https:\/\/downloads.mixtile.com\/doc-images\/hailo\/car-space-occupancy\/output-single-car.jpeg"},{"@type":"WebPage","@id":"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/#webpage","url":"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/","name":"Monitoring Parking Space Occupancy with YOLO on Hailo-8L | Mixtile","isPartOf":{"@id":"https:\/\/www.mixtile.com\/ja\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/#primaryimage"},"datePublished":"2024-10-28T09:04:28+00:00","dateModified":"2024-11-04T03:52:56+00:00","breadcrumb":{"@id":"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/#breadcrumb"},"inLanguage":"ja","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.mixtile.com\/ja\/docs\/monitoring-parking-space-occupancy-with-yolo-on-hailo-8l\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.mixtile.com\/"},{"@type":"ListItem","position":2,"name":"Monitoring Parking Space Occupancy with YOLO on Hailo-8L"}]}]}},"_links":{"self":[{"href":"https:\/\/www.mixtile.com\/ja\/wp-json\/wp\/v2\/ht-kb\/7495"}],"collection":[{"href":"https:\/\/www.mixtile.com\/ja\/wp-json\/wp\/v2\/ht-kb"}],"about":[{"href":"https:\/\/www.mixtile.com\/ja\/wp-json\/wp\/v2\/types\/ht_kb"}],"author":[{"embeddable":true,"href":"https:\/\/www.mixtile.com\/ja\/wp-json\/wp\/v2\/users\/110"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mixtile.com\/ja\/wp-json\/wp\/v2\/comments?post=7495"}],"version-history":[{"count":5,"href":"https:\/\/www.mixtile.com\/ja\/wp-json\/wp\/v2\/ht-kb\/7495\/revisions"}],"predecessor-version":[{"id":7606,"href":"https:\/\/www.mixtile.com\/ja\/wp-json\/wp\/v2\/ht-kb\/7495\/revisions\/7606"}],"wp:attachment":[{"href":"https:\/\/www.mixtile.com\/ja\/wp-json\/wp\/v2\/media?parent=7495"}],"wp:term":[{"taxonomy":"ht_kb_category","embeddable":true,"href":"https:\/\/www.mixtile.com\/ja\/wp-json\/wp\/v2\/ht-kb-category?post=7495"},{"taxonomy":"ht_kb_tag","embeddable":true,"href":"https:\/\/www.mixtile.com\/ja\/wp-json\/wp\/v2\/ht-kb-tag?post=7495"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}