{"id":671,"date":"2019-10-10T11:24:28","date_gmt":"2019-10-10T10:24:28","guid":{"rendered":"http:\/\/www.igfasouza.com\/blog\/?p=671"},"modified":"2021-05-20T14:25:20","modified_gmt":"2021-05-20T13:25:20","slug":"ogb-appreciation-day-face-recognition-in-an-easy-way","status":"publish","type":"post","link":"http:\/\/www.igfasouza.com\/blog\/ogb-appreciation-day-face-recognition-in-an-easy-way\/","title":{"rendered":"OGB Appreciation Day – Face Recognition in an easy way"},"content":{"rendered":"

\"\"<\/p>\n

How\u2019s it going horse?<\/b><\/p>\n

It’s Oracle Groundbreaker’s Appreciation Day!<\/h2>\n

Today it’s #ThanksOGB day and I decided to join the idea with a post about Face Recognition in an easy way using Oracle OCI Marketplace Nvidia image.<\/p>\n

What is OGB Appreciation day?<\/b>
\nOGB Appreciation day<\/a><\/p>\n

Don\u2019t forget to search for tweets with #ThanksOGB.<\/p>\n

Oracle blog post my article<\/a> about Face Recognition in 4 lines of code.<\/p>\n

Today I want to show how you can create an Oracle OCI instance using the Marketplace and configure the environment to run this example easily with the Nvidia image.<\/p>\n

Oracle OCI Marketplace<\/a><\/p>\n

You can follow this link<\/a> on how to create an image using the marketplace. Just change to use Nvidia image!<\/p>\n

Once you have the instance running just ssh the image and run:<\/p>\n

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<\/div><\/td>
sudo<\/span> apt install<\/span> python3-pip
\nsudo<\/span> apt-get install<\/span> python3-setuptools
\nwget<\/span> http:\/\/<\/span>dlib.net\/<\/span>files\/<\/span>dlib-19.17<\/span>.tar.bz2
\ntar<\/span> jxvf dlib-19.17<\/span>.tar.bz2
\ncd<\/span> dlib-19.17<\/span>
\nsudo<\/span> python3 setup.py install<\/span>
\nsudo<\/span> pip3 install<\/span> face_recognition<\/div><\/td><\/tr><\/tbody><\/table><\/div>\n

Now you are ready to play with Face Recognition.<\/p>\n

\"\"<\/p>\n

You can use my Python code to Streaming your Raspberry Pi camera feeds.<\/p>\n

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<\/div><\/td>
import<\/span> io
\nimport<\/span> picamera
\nimport<\/span> logging<\/span>
\nimport<\/span> socketserver
\nfrom<\/span> threading<\/span> import<\/span> Condition
\nfrom<\/span> http import<\/span> server
\n
\nPAGE=<\/span>"""\\<\/span>
\n<html>
\n<head>
\n<title>Raspberry Pi - Surveillance Camera<\/title>
\n<\/head>
\n<body>
\n<center><h1>Raspberry Pi - Surveillance Camera<\/h1><\/center>
\n<center><img src="stream.mjpg" width="640" height="480"><\/center>
\n<\/body>
\n<\/html>
\n"""<\/span>
\n
\nclass<\/span> StreamingOutput(<\/span>object<\/span>)<\/span>:
\n    def<\/span> __init__<\/span>(<\/span>self<\/span>)<\/span>:
\n        self<\/span>.frame<\/span> =<\/span> None<\/span>
\n        self<\/span>.buffer<\/span> =<\/span> io.BytesIO<\/span>(<\/span>)<\/span>
\n        self<\/span>.condition<\/span> =<\/span> Condition(<\/span>)<\/span>
\n
\n    def<\/span> write(<\/span>self<\/span>,<\/span> buf)<\/span>:
\n        if<\/span> buf.startswith<\/span>(<\/span>b'\\x<\/span>ff\\x<\/span>d8'<\/span>)<\/span>:
\n            # New frame, copy the existing buffer's content and notify all<\/span>
\n            # clients it's available<\/span>
\n            self<\/span>.buffer<\/span>.truncate<\/span>(<\/span>)<\/span>
\n            with<\/span> self<\/span>.condition<\/span>:
\n                self<\/span>.frame<\/span> =<\/span> self<\/span>.buffer<\/span>.getvalue<\/span>(<\/span>)<\/span>
\n                self<\/span>.condition<\/span>.notify_all<\/span>(<\/span>)<\/span>
\n            self<\/span>.buffer<\/span>.seek<\/span>(<\/span>0<\/span>)<\/span>
\n        return<\/span> self<\/span>.buffer<\/span>.write<\/span>(<\/span>buf)<\/span>
\n
\nclass<\/span> StreamingHandler(<\/span>server.BaseHTTPRequestHandler<\/span>)<\/span>:
\n    def<\/span> do_GET(<\/span>self<\/span>)<\/span>:
\n        if<\/span> self<\/span>.path<\/span> ==<\/span> '\/'<\/span>:
\n            self<\/span>.send_response<\/span>(<\/span>301<\/span>)<\/span>
\n            self<\/span>.send_header<\/span>(<\/span>'Location'<\/span>,<\/span> '\/index.html'<\/span>)<\/span>
\n            self<\/span>.end_headers<\/span>(<\/span>)<\/span>
\n        elif<\/span> self<\/span>.path<\/span> ==<\/span> '\/index.html'<\/span>:
\n            content =<\/span> PAGE.encode<\/span>(<\/span>'utf-8'<\/span>)<\/span>
\n            self<\/span>.send_response<\/span>(<\/span>200<\/span>)<\/span>
\n            self<\/span>.send_header<\/span>(<\/span>'Content-Type'<\/span>,<\/span> 'text\/html'<\/span>)<\/span>
\n            self<\/span>.send_header<\/span>(<\/span>'Content-Length'<\/span>,<\/span> len<\/span>(<\/span>content)<\/span>)<\/span>
\n            self<\/span>.end_headers<\/span>(<\/span>)<\/span>
\n            self<\/span>.wfile<\/span>.write<\/span>(<\/span>content)<\/span>
\n        elif<\/span> self<\/span>.path<\/span> ==<\/span> '\/stream.mjpg'<\/span>:
\n            self<\/span>.send_response<\/span>(<\/span>200<\/span>)<\/span>
\n            self<\/span>.send_header<\/span>(<\/span>'Age'<\/span>,<\/span> 0<\/span>)<\/span>
\n            self<\/span>.send_header<\/span>(<\/span>'Cache-Control'<\/span>,<\/span> 'no-cache, private'<\/span>)<\/span>
\n            self<\/span>.send_header<\/span>(<\/span>'Pragma'<\/span>,<\/span> 'no-cache'<\/span>)<\/span>
\n            self<\/span>.send_header<\/span>(<\/span>'Content-Type'<\/span>,<\/span> 'multipart\/x-mixed-replace; boundary=FRAME'<\/span>)<\/span>
\n            self<\/span>.end_headers<\/span>(<\/span>)<\/span>
\n            try<\/span>:
\n                while<\/span> True<\/span>:
\n                    with<\/span> output.condition<\/span>:
\n                        output.condition<\/span>.wait<\/span>(<\/span>)<\/span>
\n                        frame =<\/span> output.frame<\/span>
\n                    self<\/span>.wfile<\/span>.write<\/span>(<\/span>b'--FRAME\\r<\/span>\\n<\/span>'<\/span>)<\/span>
\n                    self<\/span>.send_header<\/span>(<\/span>'Content-Type'<\/span>,<\/span> 'image\/jpeg'<\/span>)<\/span>
\n                    self<\/span>.send_header<\/span>(<\/span>'Content-Length'<\/span>,<\/span> len<\/span>(<\/span>frame)<\/span>)<\/span>
\n                    self<\/span>.end_headers<\/span>(<\/span>)<\/span>
\n                    self<\/span>.wfile<\/span>.write<\/span>(<\/span>frame)<\/span>
\n                    self<\/span>.wfile<\/span>.write<\/span>(<\/span>b'\\r<\/span>\\n<\/span>'<\/span>)<\/span>
\n            except<\/span> Exception<\/span> as<\/span> e:
\n                logging<\/span>.warning<\/span>(<\/span>
\n                    'Removed streaming client %s: %s'<\/span>,<\/span>
\n                    self<\/span>.client_address<\/span>,<\/span> str<\/span>(<\/span>e)<\/span>)<\/span>
\n        else<\/span>:
\n            self<\/span>.send_error<\/span>(<\/span>404<\/span>)<\/span>
\n            self<\/span>.end_headers<\/span>(<\/span>)<\/span>
\n
\nclass<\/span> StreamingServer(<\/span>socketserver.ThreadingMixIn<\/span>,<\/span> server.HTTPServer<\/span>)<\/span>:
\n    allow_reuse_address =<\/span> True<\/span>
\n    daemon_threads =<\/span> True<\/span>
\n
\nwith<\/span> picamera.PiCamera<\/span>(<\/span>resolution=<\/span>'640x480'<\/span>,<\/span> framerate=<\/span>24<\/span>)<\/span> as<\/span> camera:
\n    output =<\/span> StreamingOutput(<\/span>)<\/span>
\n    #Uncomment the next line to change your Pi's Camera rotation (in degrees)<\/span>
\n    #camera.rotation = 90<\/span>
\n    camera.start_recording<\/span>(<\/span>output,<\/span> format=<\/span>'mjpeg'<\/span>)<\/span>
\n    try<\/span>:
\n        address =<\/span> (<\/span>''<\/span>,<\/span> 8000<\/span>)<\/span>
\n        server =<\/span> StreamingServer(<\/span>address,<\/span> StreamingHandler)<\/span>
\n        server.serve_forever<\/span>(<\/span>)<\/span>
\n    finally<\/span>:
\n        camera.stop_recording<\/span>(<\/span>)<\/span><\/div><\/td><\/tr><\/tbody><\/table><\/div>\n

Just change the code for instead of 0 use the streaming url, in the example here: http:\/\/ipaddress:8000\/stream<\/p>\n

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<\/div><\/td>
video_capture = cv2.VideoCapture(<\/span>0<\/span>)<\/span><\/div><\/td><\/tr><\/tbody><\/table><\/div>\n

Happy face recognition.
\n\"\"<\/p>\n

Link<\/h2>\n

pyimagesearch<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

How\u2019s it going horse? It’s Oracle Groundbreaker’s Appreciation Day! Today it’s #ThanksOGB day and I decided to join the idea with a post about Face Recognition in an easy way using Oracle OCI Marketplace Nvidia image. What is OGB Appreciation… Continue Reading →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":676,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[18],"class_list":["post-671","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-python"],"_links":{"self":[{"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/posts\/671","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/comments?post=671"}],"version-history":[{"count":10,"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/posts\/671\/revisions"}],"predecessor-version":[{"id":1252,"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/posts\/671\/revisions\/1252"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/media\/676"}],"wp:attachment":[{"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/media?parent=671"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/categories?post=671"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.igfasouza.com\/blog\/wp-json\/wp\/v2\/tags?post=671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}