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			"contents": "'''\n>> import cv2\n>>> print(cv2.__file__)\n'/Users/jmitch/Dev/opencvtube/lib/python3.6/site-packages/cv2/cv2.cpython-36m-darwin.so'\n>>> exit()\n\n$ ls /Users/jmitch/Dev/opencvtube/lib/python3.6/site-packages/cv2/data/\n\n$ cd /path/to/your/virtualenv/src/\n\n$ ln -s /Users/jmitch/Dev/opencvtube/lib/python3.6/site-packages/cv2/data/ cascades/\n\n\n\n'''\n\n\n\n\nimport numpy as np\nimport cv2\n\n\nface_cascade = cv2.CascadeClassifier('cascades/data/haarcascade_frontalface_alt2.xml')\neye_cascade = cv2.CascadeClassifier('cascades/data/haarcascade_eye.xml')\n\ncap = cv2.VideoCapture(0)\n\n#all_properties\n\n\n\ndef make_1080p():\n    cap.set(3, 1920)\n    cap.set(4, 1080)\n\ndef make_720p():\n    cap.set(3, 1280)\n    cap.set(4, 720)\n\ndef make_480p():\n    cap.set(3, 640)\n    cap.set(4, 480)\n\n\nmake_480p()\n\n\nfor i in range(0, 18):\n    print(f\"Property {i}\", cap.get(i))\n\ndef rescale_frame(frame, percent=75):\n    scale_percent = 75\n    width = int(frame.shape[1] * scale_percent / 100)\n    height = int(frame.shape[0] * scale_percent / 100)\n    dim = (width, height)\n    return cv2.resize(frame, dim, interpolation =cv2.INTER_AREA)\n\ni = 0\nwhile True:\n    rect, frame = cap.read()\n    #frame = rescale_frame(frame)\n    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n    faces = face_cascade.detectMultiScale(gray, 1.3, 5)\n    for (x,y,w,h) in faces:\n        cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)\n        roi_gray = gray[y:y+h, x:x+w]\n        roi_color = frame[y:y+h, x:x+w]\n        eyes = eye_cascade.detectMultiScale(roi_gray)\n        for (ex,ey,ew,eh) in eyes:\n            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)\n\n    \n    cv2.imshow(\"frame\", frame)\n\n\n    if cv2.waitKey(20) & 0xFF == ord('q'):\n        break\n\ncap.release()\ncv2.destroyAllWindows()\n\n\n\n# img = cv2.imread('sachin.jpg')\n# gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n\n\n# faces = face_cascade.detectMultiScale(gray, 1.3, 5)\n# for (x,y,w,h) in faces:\n#     cv.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)\n#     roi_gray = gray[y:y+h, x:x+w]\n#     roi_color = img[y:y+h, x:x+w]\n#     eyes = eye_cascade.detectMultiScale(roi_gray)\n#     for (ex,ey,ew,eh) in eyes:\n#         cv.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)\n# cv.imshow('img',img)\n# cv.waitKey(0)\n# cv.destroyAllWindows()",
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			"contents": "Let's assume you're working off something simple like [this](https://www.codingforentrepreneurs.com/blog/opencv-python-web-camera-quick-test/), you might need to change your frame size and/or video resolution from time to time and do so in the code.\n\nOpenCV makes it easy to change resolution of your video.\nOpenCV also makes it easy to scale your video. \n\n# Adjust Resolution\n\n```\nimport cv2\n\ncap = cv2.VideoCapture(0)\n\ndef make_1080p():\n    cap.set(3, 1920)\n    cap.set(4, 1080)\n\ndef make_720p():\n    cap.set(3, 1280)\n    cap.set(4, 720)\n\ndef make_480p():\n    cap.set(3, 640)\n    cap.set(4, 480)\n\ndef change_res(width, height):\n    cap.set(3, width)\n    cap.set(4, height)\n\nmake_720p()\nchange_res(1280, 720)\n\n```\n\nAs you might have guessed, you **cannot up-scale a resolution** if your camera does not support it. For example, if your camera supports 720p, that's the maximum resolution the above method(s) will allow. \n\n#### Scaling Factor (Downscale/Upscaling)\n```\nimport cv2\n\ncap = cv2.VideoCapture(0)\n\ndef rescale_frame(frame, percent=75):\n    scale_percent = 75\n    width = int(frame.shape[1] * scale_percent / 100)\n    height = int(frame.shape[0] * scale_percent / 100)\n    dim = (width, height)\n    return cv2.resize(frame, dim, interpolation =cv2.INTER_AREA)\n\nwhile True:\n    rect, frame = cap.read()\n    frame75 = rescale_frame(frame, percent=75)\n    cv2.imshow('frame75', frame75)\n    frame150 = rescale_frame(frame, percent=150)\n    cv2.imshow('frame150', frame150)\n\ncap.release()\ncv2.destroyAllWindows()\n```\n\nWith **Scaling** you can change the frame size regardless of your camera's resolution which, of course, could lead to poor results on upscaling (aka too pixelated). \n\nEither way, it's good to have these methods in your wheelhouse. ",
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			"contents": "# Downscale – Preserve Aspect Ratio\n\n\nimport cv2\n \nimg = cv2.imread('/home/img/python.png', cv2.IMREAD_UNCHANGED)\n \nprint('Original Dimensions : ',img.shape)\n \nscale_percent = 60 # percent of original size\nwidth = int(img.shape[1] * scale_percent / 100)\nheight = int(img.shape[0] * scale_percent / 100)\ndim = (width, height)\n \n# resize image\nresized = cv2.resize(img, dim, interpolation = cv2.INTER_AREA)\n \nprint('Resized Dimensions : ',resized.shape)\n \ncv2.imshow(\"Resized image\", resized)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n\n# upscale \nimport cv2\n \nimg = cv2.imread('/home/img/python.png', cv2.IMREAD_UNCHANGED)\n \nprint('Original Dimensions : ',img.shape)\n \nscale_percent = 220 # percent of original size\nwidth = int(img.shape[1] * scale_percent / 100)\nheight = int(img.shape[0] * scale_percent / 100)\ndim = (width, height)\n \n# resize image\nresized = cv2.resize(img, dim, interpolation = cv2.INTER_AREA)\n \nprint('Resized Dimensions : ',resized.shape)\n \ncv2.imshow(\"Resized image\", resized)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n",
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			"contents": "IT'S LIVE TIME!\n\nIf you need help, LIVE Q&As are for you. I answer nearly every question I can when we go live. \n\nDo you want to join me?  Go to https://www.youtube.com/codingentrepreneurs​​, SUBSCRIBE, and hit the bell for notifications like...\n​\nOnce you do that, you'll hear about every time we post a new live event. We've done one almost every day this past week.\nAs you may notice, I've posted a TON of new content on there to help you with your journey in becoming a better coder and/or entrepreneur.\nWhy am I doing this? \nTo help you. Seriously. I get so many questions and I want to make 1 place everyone can ask them live. I make content for you to watch. Without you, there's not watching and no need to continue to make content. \n​100,000 Subs. ​My immediate YouTube goal is to hit 100k subs. Why? I believe this will end up helping more people because more subs means better content (ie more questions asked, more issues found, more suggestions, etc). ALSO it's because the greater opportunity is upon us...\n7,480 Million people still don't know how to code. This is MASSIVE and it means that you, yes you, can do incredible things for your community. This also means that there is only about 20million people coding for everyone else. THIS IS NUTS. This world of technology is too important for just 0.2% of the population doing anything.\n\n\nSo... what do you think? Would you join me in going live?\n\nThank you!\n\n\nJustin Mitchel\n\nCoding for Entrepreneurs​\n\n\n\n \n\n\n\n​",
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