title
OpenCV Face Detection with Raspberry Pi - Robotics with Python p.7

description
Next, we're going to touch on using OpenCV with the Raspberry Pi's camera, giving our robot the gift of sight. There are many steps involved to this process, so there's a lot that is about to be thrown your way. If at any point you're stuck/lost/whatever, feel free to ask questions on the video and I will try to help where possible. There are a lot of moving parts here. If all else fails, I have hosted my Raspberry Pi image: https://drive.google.com/file/d/0B11p78NlrG-vZzdJLWYxcU5iMXM/view?usp=sharing OpenCV stands for Open Computer Vision, and it is an open source computer vision and machine learning library. To start, you will need to get OpenCV on to your Raspberry Pi. http://mitchtech.net/raspberry-pi-opencv/ Keep in mind, the "make" part of this tutorial will take 9-10 hours on a Raspberry Pi Model B+. The Raspberry Pi 2 will do it in more like 2-4 hours. Either way, it will take a while. I just did it overnight one night. Text-based version and sample code: http://pythonprogramming.net/raspberry-pi-camera-opencv-face-detection-tutorial/ http://pythonprogramming.net https://twitter.com/sentdex

detail
{'title': 'OpenCV Face Detection with Raspberry Pi - Robotics with Python p.7', 'heatmap': [{'end': 692.548, 'start': 649.727, 'weight': 0.965}, {'end': 970.664, 'start': 942.407, 'weight': 0.726}, {'end': 1252.028, 'start': 1221.669, 'weight': 1}], 'summary': 'Tutorial series on robotics with python covers using opencv on raspberry pi, including installation requirements, training an image recognition system, and face detection using cascades. it also discusses setting up opencv for facial recognition, integrating gopygo for distribution purposes, and using opencv on raspberry pi for face detection with a camera module.', 'chapters': [{'end': 331.708, 'segs': [{'end': 51.451, 'src': 'embed', 'start': 20.657, 'weight': 0, 'content': [{'end': 29.022, 'text': 'the Raspberry Pi and the Raspberry Pi camera module, because mainly OpenCV is meant to work just with USB cameras,', 'start': 20.657, 'duration': 8.365}, {'end': 31.903, 'text': "but we can use the Raspberry Pi cameras, so we'll be talking about that.", 'start': 29.022, 'duration': 2.881}, {'end': 36.005, 'text': 'OpenCV is used for all sorts of image recognition.', 'start': 33.304, 'duration': 2.701}, {'end': 40.768, 'text': "Arguably, it's mostly used in C, but you can also use Python for this.", 'start': 36.806, 'duration': 3.962}, {'end': 51.451, 'text': 'Also, OpenCV is relatively computationally expensive, but we can actually do it on the Pi and we can do it relatively fast.', 'start': 41.588, 'duration': 9.863}], 'summary': 'Raspberry pi camera module enables fast image recognition with opencv on the pi.', 'duration': 30.794, 'max_score': 20.657, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU20657.jpg'}, {'end': 127.771, 'src': 'embed', 'start': 81.124, 'weight': 1, 'content': [{'end': 89.912, 'text': "But eventually we'll probably take it off the Raspberry Pi and do OpenCV with your ordinary webcam, but also on a little bit more powerful computer,", 'start': 81.124, 'duration': 8.788}, {'end': 91.153, 'text': 'so we can do more cool stuff.', 'start': 89.912, 'duration': 1.241}, {'end': 94.816, 'text': 'Anyway, first things first, you have to get OpenCV.', 'start': 91.793, 'duration': 3.023}, {'end': 98.819, 'text': "So you'll need to follow some tutorial to get OpenCV.", 'start': 95.096, 'duration': 3.723}, {'end': 103.143, 'text': 'We could go through it or I could just point you to a list that lists it out.', 'start': 99.96, 'duration': 3.183}, {'end': 105.045, 'text': "So I'm just going to point you to a list that lists it out.", 'start': 103.203, 'duration': 1.842}, {'end': 109.962, 'text': 'Warning one of these steps is going to take about.', 'start': 106.42, 'duration': 3.542}, {'end': 116.625, 'text': "well, if you have a Raspberry Pi model B or B+, it's going to take about 9 to 10 hours.", 'start': 109.962, 'duration': 6.663}, {'end': 117.205, 'text': 'one of these steps.', 'start': 116.625, 'duration': 0.58}, {'end': 118.286, 'text': "I'll show you which one.", 'start': 117.486, 'duration': 0.8}, {'end': 122.588, 'text': "If you're on a Raspberry Pi 2, it'll take about 2.5 hours.", 'start': 119.046, 'duration': 3.542}, {'end': 127.771, 'text': "Obviously, if you're on a really fast computer, it's not going to take that long at all.", 'start': 123.208, 'duration': 4.563}], 'summary': 'Setting up opencv may take 9-10 hours on raspberry pi b/b+ and 2.5 hours on pi 2.', 'duration': 46.647, 'max_score': 81.124, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU81124.jpg'}, {'end': 331.708, 'src': 'embed', 'start': 280.914, 'weight': 3, 'content': [{'end': 290.52, 'text': "but a lot of times this is where they start and you feed it like 10,000 images or something like that, and that's how you train it.", 'start': 280.914, 'duration': 9.606}, {'end': 300.367, 'text': 'and then later on you can use these face cascades, XML files, and you can load those in and then the facial detection.', 'start': 290.52, 'duration': 9.847}, {'end': 306.712, 'text': "it's going to read this cascade look for anything that's kind of closely related to anything that might be what we call a face.", 'start': 300.367, 'duration': 6.345}, {'end': 309.014, 'text': "So that's how we train it.", 'start': 307.632, 'duration': 1.382}, {'end': 316.201, 'text': "Now a lot of times you'll also have one more step and you'll basically show it like 10,000 pictures and you'll be like, these are all faces.", 'start': 309.074, 'duration': 7.127}, {'end': 320.385, 'text': "And then you'll show it 10,000 pictures that have no faces in them.", 'start': 316.261, 'duration': 4.124}, {'end': 325.63, 'text': "And then that's how you like one more step that usually goes in or oftentimes goes in.", 'start': 321.346, 'duration': 4.284}, {'end': 331.708, 'text': "Moving along, this file here, this isn't really included here.", 'start': 327.006, 'duration': 4.702}], 'summary': 'Training a facial detection model with 10,000 images and using face cascades for detection.', 'duration': 50.794, 'max_score': 280.914, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU280914.jpg'}], 'start': 1.733, 'title': 'Opencv, raspberry pi, and image recognition', 'summary': 'Covers using opencv on raspberry pi, detailing installation requirements and time, setting up a raspberry pi image and script, and the process of training an image recognition system with thousands of images, including face detection using cascades.', 'chapters': [{'end': 155.431, 'start': 1.733, 'title': 'Opencv on raspberry pi', 'summary': 'Talks about using opencv with the raspberry pi, including its computational expense, requirements for installation, and time taken for installation, with the longest step taking 9 to 10 hours on a raspberry pi model b or b+.', 'duration': 153.698, 'highlights': ['OpenCV is used for image recognition and can be used with Raspberry Pi cameras, despite being mainly used with USB cameras. It is relatively computationally expensive, but can run relatively fast on the Pi.', 'Installation of OpenCV on a Raspberry Pi model B or B+ takes about 9 to 10 hours, while on a Raspberry Pi 2 it takes about 2.5 hours. Faster computers will require less time for the installation.', 'The tutorial provides a list of commands for installing OpenCV on the Raspberry Pi, available at MitchTech.net/RaspberryPiOpenCV.']}, {'end': 242.265, 'start': 155.431, 'title': 'Raspberry pi image and script setup', 'summary': 'Discusses setting up a raspberry pi image and script, providing instructions for downloading the image, potential challenges, and the script used for the process.', 'duration': 86.834, 'highlights': ['The chapter emphasizes on running the process overnight, and sharing the image on Google Drive for others to download, potentially taking a while.', 'It mentions the potential challenges and complexities involved in the setup, highlighting the option to either follow instructions or download the pre-configured image for convenience.', "The script used for the Raspberry Pi's camera module setup is detailed, emphasizing the importance of understanding its functionality rather than blindly copying and pasting."]}, {'end': 331.708, 'start': 243.386, 'title': 'Image recognition and training process', 'summary': 'Discusses the process of training an image recognition system, including the steps of gathering images, training the system with thousands of images, and using face cascades for facial detection.', 'duration': 88.322, 'highlights': ['The process involves gathering a bunch of images, say of faces, and then training the system with around 10,000 images (quantifiable) to enable facial detection (key point).', 'Using face cascades XML files for facial detection is a crucial step in the process (key point).', 'A further step often involves showing the system 10,000 pictures with faces and 10,000 pictures without faces to enhance its recognition capabilities (key point).']}], 'duration': 329.975, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU1733.jpg', 'highlights': ['OpenCV can be used with Raspberry Pi cameras, despite being mainly used with USB cameras, and is relatively computationally expensive but can run relatively fast on the Pi.', 'Installation of OpenCV on a Raspberry Pi model B or B+ takes about 9 to 10 hours, while on a Raspberry Pi 2 it takes about 2.5 hours. Faster computers will require less time for the installation.', 'The tutorial provides a list of commands for installing OpenCV on the Raspberry Pi, available at MitchTech.net/RaspberryPiOpenCV.', 'The process involves gathering a bunch of images, say of faces, and then training the system with around 10,000 images to enable facial detection.', 'Using face cascades XML files for facial detection is a crucial step in the process.', 'A further step often involves showing the system 10,000 pictures with faces and 10,000 pictures without faces to enhance its recognition capabilities.']}, {'end': 1075.591, 'segs': [{'end': 384.042, 'src': 'embed', 'start': 356.601, 'weight': 3, 'content': [{'end': 361.065, 'text': 'Anyway, but the original source is actually Intel and this is their entire thing.', 'start': 356.601, 'duration': 4.464}, {'end': 368.193, 'text': 'So if you do take this file and propagate this file out, just make sure you leave the license agreement there.', 'start': 361.085, 'duration': 7.108}, {'end': 369.955, 'text': 'Otherwise you can do what you want.', 'start': 368.253, 'duration': 1.702}, {'end': 372.396, 'text': 'Moving along.', 'start': 370.595, 'duration': 1.801}, {'end': 378.98, 'text': "the last thing I will say is I'll probably forget to mention this later on, but once you finish this tutorial,", 'start': 372.396, 'duration': 6.584}, {'end': 384.042, 'text': 'you should come to a sort of realization how easy it was to make a machine recognize a human face.', 'start': 378.98, 'duration': 5.062}], 'summary': 'Intel is the original source, emphasizing the importance of maintaining the license agreement; tutorial demonstrates the ease of making a machine recognize a human face.', 'duration': 27.441, 'max_score': 356.601, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU356601.jpg'}, {'end': 425.915, 'src': 'embed', 'start': 401.036, 'weight': 2, 'content': [{'end': 409.544, 'text': 'Well, good news is you can full facial recognition systems doing things like this with makeup and hair and all this kind of stuff.', 'start': 401.036, 'duration': 8.508}, {'end': 411.165, 'text': "So it's kind of an interesting thing.", 'start': 409.564, 'duration': 1.601}, {'end': 417.249, 'text': 'offshoot, I suppose, of facial recognition, anti-facial recognition.', 'start': 411.986, 'duration': 5.263}, {'end': 420.051, 'text': "Anyway, just thought I'd point that out.", 'start': 417.91, 'duration': 2.141}, {'end': 425.915, 'text': "So, once you have OpenCV and all that, you're ready to rumble.", 'start': 420.671, 'duration': 5.244}], 'summary': 'Facial recognition systems can be fooled using makeup and hair, an offshoot of anti-facial recognition.', 'duration': 24.879, 'max_score': 401.036, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU401036.jpg'}, {'end': 692.548, 'src': 'heatmap', 'start': 649.727, 'weight': 0.965, 'content': [{'end': 651.988, 'text': 'Then we create the OpenCV image here.', 'start': 649.727, 'duration': 2.261}, {'end': 656.57, 'text': "This loads the face cascade, and so yeah, let's go ahead and grab that file too.", 'start': 652.308, 'duration': 4.262}, {'end': 662.734, 'text': 'So again, this will be in the description, but we mainly are wanting this little file here, and this is, you can call it what you want.', 'start': 656.59, 'duration': 6.144}, {'end': 665.055, 'text': "I'm just gonna call it faces.xml.", 'start': 662.814, 'duration': 2.241}, {'end': 670.377, 'text': "So I'm gonna right click, new, file, and I'm just gonna call it faces.xml.", 'start': 665.595, 'duration': 4.782}, {'end': 678.041, 'text': 'That opens up an empty, close out of those, and control A, control C, and then control V for paste.', 'start': 670.678, 'duration': 7.363}, {'end': 678.982, 'text': 'That might take a second.', 'start': 678.081, 'duration': 0.901}, {'end': 680.082, 'text': 'Save it.', 'start': 679.662, 'duration': 0.42}, {'end': 684.424, 'text': 'And now we should have a faces.xml in here.', 'start': 681.443, 'duration': 2.981}, {'end': 685.205, 'text': 'We sure do.', 'start': 684.484, 'duration': 0.721}, {'end': 687.706, 'text': "Bringing back down the file I've been working on.", 'start': 685.765, 'duration': 1.941}, {'end': 689.987, 'text': "That's right here.", 'start': 689.267, 'duration': 0.72}, {'end': 692.108, 'text': "We're going to give the full path.", 'start': 691.047, 'duration': 1.061}, {'end': 692.548, 'text': 'That is..', 'start': 692.148, 'duration': 0.4}], 'summary': 'Creating opencv image, loading face cascade, and adding faces.xml file.', 'duration': 42.821, 'max_score': 649.727, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU649727.jpg'}, {'end': 834.481, 'src': 'embed', 'start': 810.705, 'weight': 0, 'content': [{'end': 819.271, 'text': "but there are some image recognition algorithms that do incorporate far greater shading than what we'll be doing anyway.", 'start': 810.705, 'duration': 8.566}, {'end': 823.614, 'text': "At least on our Raspberry Pi, you gotta keep in mind all the processing that's required here.", 'start': 819.551, 'duration': 4.063}, {'end': 834.481, 'text': "So then faces, basically we're looking for faces in that loaded Cascade file, and we're just basically trying to detect a face.", 'start': 825.253, 'duration': 9.228}], 'summary': 'Image recognition algorithms incorporate greater shading, looking for faces in loaded cascade file to detect faces.', 'duration': 23.776, 'max_score': 810.705, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU810705.jpg'}, {'end': 970.664, 'src': 'heatmap', 'start': 942.407, 'weight': 0.726, 'content': [{'end': 954.037, 'text': "open CV, example 1 and I'll run that look at my camera and hopefully it detects a face.", 'start': 942.407, 'duration': 11.63}, {'end': 954.898, 'text': 'found a face.', 'start': 954.037, 'duration': 0.861}, {'end': 956.479, 'text': "we'll see if it found my face or not.", 'start': 954.898, 'duration': 1.581}, {'end': 958.961, 'text': "let's open that result.jpg up.", 'start': 956.479, 'duration': 2.482}, {'end': 963.562, 'text': 'Sure enough, it found my face back there.', 'start': 961.502, 'duration': 2.06}, {'end': 966.523, 'text': "It's a little hard to see that little box there.", 'start': 963.582, 'duration': 2.941}, {'end': 970.664, 'text': "Let's go back into the..", 'start': 966.923, 'duration': 3.741}], 'summary': 'Opencv example successfully detected a face in the image.', 'duration': 28.257, 'max_score': 942.407, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU942407.jpg'}], 'start': 331.748, 'title': 'Facial recognition with opencv', 'summary': 'Discusses setting up opencv for facial recognition on a raspberry pi, including installing dependencies and creating a program to detect faces in images.', 'chapters': [{'end': 378.98, 'start': 331.748, 'title': "Intel's tutorial license agreement", 'summary': 'Introduces a tutorial file sourced from intel, emphasizing the need to maintain the license agreement when propagating the file.', 'duration': 47.232, 'highlights': ['The tutorial file is sourced from Intel and emphasizes the need to maintain the license agreement when propagated.', 'It is advised to link back to the original source when sharing the tutorial file.']}, {'end': 1075.591, 'start': 378.98, 'title': 'Facial recognition with opencv', 'summary': 'Discusses the process of setting up opencv for facial recognition on a raspberry pi, including installing necessary dependencies and creating a simple program to detect faces in images and draw rectangles around them.', 'duration': 696.611, 'highlights': ['The process of setting up OpenCV for facial recognition on a Raspberry Pi The chapter covers the process of setting up OpenCV for facial recognition on a Raspberry Pi, providing guidance on installing necessary dependencies and creating a program for facial detection.', 'Creating a simple program to detect faces in images and draw rectangles around them The chapter explains the creation of a simple program to detect faces in images using OpenCV, including the drawing of rectangles around the detected faces.', 'Discussion on the use of OpenCV for facial recognition and potential applications The chapter briefly discusses the potential applications of OpenCV for facial recognition and hints at the possibility of creating more in-depth OpenCV tutorials in the future.']}], 'duration': 743.843, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU331748.jpg', 'highlights': ['The chapter covers the process of setting up OpenCV for facial recognition on a Raspberry Pi, providing guidance on installing necessary dependencies and creating a program for facial detection.', 'Creating a simple program to detect faces in images and draw rectangles around them.', 'Discussion on the use of OpenCV for facial recognition and potential applications.', 'The tutorial file is sourced from Intel and emphasizes the need to maintain the license agreement when propagated.', 'It is advised to link back to the original source when sharing the tutorial file.']}, {'end': 1328.137, 'segs': [{'end': 1141.778, 'src': 'embed', 'start': 1075.591, 'weight': 0, 'content': [{'end': 1081.076, 'text': "this will be kind of a sloppy cut and paste, but we're going to bring in.", 'start': 1075.591, 'duration': 5.485}, {'end': 1093.796, 'text': "we don't need Tkinter really here, but we do want the gopygo And then, just for distribution purposes, I'll take this here paste that up at top,", 'start': 1081.076, 'duration': 12.72}, {'end': 1096.238, 'text': "just so everyone's getting their attribution.", 'start': 1093.796, 'duration': 2.442}, {'end': 1100.901, 'text': "And then we'll copy all this.", 'start': 1097.498, 'duration': 3.403}, {'end': 1107.345, 'text': "Basically, let's just copy this whole thing except for this setup down here.", 'start': 1101.521, 'duration': 5.824}, {'end': 1109.146, 'text': 'So copy that.', 'start': 1108.126, 'duration': 1.02}, {'end': 1110.187, 'text': "We'll come over here.", 'start': 1109.446, 'duration': 0.741}, {'end': 1115.459, 'text': "paste. let me just make sure we didn't import gopygo twice.", 'start': 1112.136, 'duration': 3.323}, {'end': 1116.98, 'text': 'no, okay.', 'start': 1115.459, 'duration': 1.521}, {'end': 1121.644, 'text': "then what we'll do is we set up USB, cool.", 'start': 1116.98, 'duration': 4.664}, {'end': 1123.525, 'text': 'so basically we want all this.', 'start': 1121.644, 'duration': 1.881}, {'end': 1129.69, 'text': "we'll copy that and we can just bring.", 'start': 1123.525, 'duration': 6.165}, {'end': 1133.093, 'text': "let's do, put that right here.", 'start': 1129.69, 'duration': 3.403}, {'end': 1136.136, 'text': "paste. we don't need to zero.", 'start': 1133.093, 'duration': 3.043}, {'end': 1139.397, 'text': "Set up USB, that's fine.", 'start': 1137.856, 'duration': 1.541}, {'end': 1141.778, 'text': 'stop it from doing anything cool.', 'start': 1139.397, 'duration': 2.381}], 'summary': 'Copying and pasting code, importing gopygo once, setting up usb.', 'duration': 66.187, 'max_score': 1075.591, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU1075591.jpg'}, {'end': 1286.328, 'src': 'heatmap', 'start': 1221.669, 'weight': 3, 'content': [{'end': 1226.551, 'text': 'Found a face.', 'start': 1221.669, 'duration': 4.882}, {'end': 1227.811, 'text': "Oh, I've been shot.", 'start': 1226.891, 'duration': 0.92}, {'end': 1235.22, 'text': "Okay, and let's just make sure it did find us, but I can tell with a little thumbnail that it did find us indeed.", 'start': 1229.697, 'duration': 5.523}, {'end': 1237.081, 'text': "But here's your proof.", 'start': 1236.42, 'duration': 0.661}, {'end': 1246.205, 'text': 'RIP. Anyway, okay, so that was kind of a long tutorial 20 minutes.', 'start': 1239.362, 'duration': 6.843}, {'end': 1252.028, 'text': 'but actually, for you, that was like a 10-hour tutorial, because you have to download OpenCV.', 'start': 1246.205, 'duration': 5.823}, {'end': 1257.691, 'text': "But it's really rewarding, I think, when you finally get it and you draw that square around the face.", 'start': 1252.748, 'duration': 4.943}, {'end': 1258.631, 'text': "That's really cool.", 'start': 1257.771, 'duration': 0.86}, {'end': 1263.294, 'text': 'So hopefully everyone is able to find their way to that spot.', 'start': 1259.652, 'duration': 3.642}, {'end': 1268.076, 'text': 'If you have any trouble getting to this point, do feel free to let me know.', 'start': 1264.014, 'duration': 4.062}, {'end': 1272.599, 'text': 'Raspberry Pi is not the fastest processor in the world,', 'start': 1268.537, 'duration': 4.062}, {'end': 1277.622, 'text': "but it's actually very impressive that we can do this with the Raspberry Pi in that camera module.", 'start': 1272.599, 'duration': 5.023}, {'end': 1282.805, 'text': "But like I said, if you're interested in more OpenCV, definitely stay tuned.", 'start': 1278.442, 'duration': 4.363}, {'end': 1286.328, 'text': "I'm going to be doing an OpenCV tutorial.", 'start': 1283.826, 'duration': 2.502}], 'summary': "Tutorial on using opencv with raspberry pi, finding faces, and drawing squares. impressive feat with raspberry pi's camera module.", 'duration': 46.966, 'max_score': 1221.669, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU1221669.jpg'}], 'start': 1075.591, 'title': 'Integrating gopygo and using opencv on raspberry pi', 'summary': 'Involves integrating gopygo for distribution purposes and setting up usb, while also discussing the process of using opencv on raspberry pi for face detection using a camera module. it includes a mention of time-consuming setup and a promise for future opencv tutorials.', 'chapters': [{'end': 1141.778, 'start': 1075.591, 'title': 'Transcript editing for gopygo integration', 'summary': 'Involves integrating gopygo for distribution purposes and setting up usb, with a focus on copying and pasting code for implementation.', 'duration': 66.187, 'highlights': ['The chapter involves integrating gopygo for distribution purposes and setting up USB', 'Copying and pasting code for implementation is a key focus', 'Ensuring no duplicate imports of gopygo is mentioned']}, {'end': 1328.137, 'start': 1142.518, 'title': 'Using opencv on raspberry pi', 'summary': 'Discusses using opencv on raspberry pi, demonstrating the process of detecting faces using a camera module, with a mention of the time-consuming setup and a promise for future opencv tutorials.', 'duration': 185.619, 'highlights': ['Using OpenCV to detect faces on Raspberry Pi The tutorial demonstrates the process of detecting faces using OpenCV on Raspberry Pi.', 'Mention of the time-consuming setup for OpenCV The speaker acknowledges the time-consuming setup for OpenCV, mentioning that it may take around 20 minutes or longer for beginners.', 'Promise for future OpenCV tutorials There is a promise for future OpenCV tutorials, indicating that the speaker plans to create more content on this topic in the future.']}], 'duration': 252.546, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1I4gHpctXbU/pics/1I4gHpctXbU1075591.jpg', 'highlights': ['The chapter involves integrating gopygo for distribution purposes and setting up USB', 'Copying and pasting code for implementation is a key focus', 'Ensuring no duplicate imports of gopygo is mentioned', 'Using OpenCV to detect faces on Raspberry Pi', 'Mention of the time-consuming setup for OpenCV', 'Promise for future OpenCV tutorials']}], 'highlights': ['OpenCV can be used with Raspberry Pi cameras, despite being mainly used with USB cameras, and is relatively computationally expensive but can run relatively fast on the Pi.', 'Installation of OpenCV on a Raspberry Pi model B or B+ takes about 9 to 10 hours, while on a Raspberry Pi 2 it takes about 2.5 hours. Faster computers will require less time for the installation.', 'The tutorial provides a list of commands for installing OpenCV on the Raspberry Pi, available at MitchTech.net/RaspberryPiOpenCV.', 'The process involves gathering a bunch of images, say of faces, and then training the system with around 10,000 images to enable facial detection.', 'Using face cascades XML files for facial detection is a crucial step in the process.', 'A further step often involves showing the system 10,000 pictures with faces and 10,000 pictures without faces to enhance its recognition capabilities.', 'The chapter covers the process of setting up OpenCV for facial recognition on a Raspberry Pi, providing guidance on installing necessary dependencies and creating a program for facial detection.', 'Creating a simple program to detect faces in images and draw rectangles around them.', 'Discussion on the use of OpenCV for facial recognition and potential applications.', 'The tutorial file is sourced from Intel and emphasizes the need to maintain the license agreement when propagated.', 'It is advised to link back to the original source when sharing the tutorial file.', 'The chapter involves integrating gopygo for distribution purposes and setting up USB', 'Copying and pasting code for implementation is a key focus', 'Ensuring no duplicate imports of gopygo is mentioned', 'Using OpenCV to detect faces on Raspberry Pi', 'Mention of the time-consuming setup for OpenCV', 'Promise for future OpenCV tutorials']}