after beautiful weekend all done
This commit is contained in:
Mikołaj Pokrywka
parent
97bef3fb5c
commit
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wko-02.ipynb
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wko-02.ipynb
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wko-03.ipynb
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wko-03.ipynb
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"\n",
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""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "b68fdade",
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"metadata": {},
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"outputs": [],
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"source": [
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"import cv2 as cv\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"%matplotlib inline"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "305441e2",
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"metadata": {},
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"outputs": [
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{
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"ename": "error",
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"evalue": "OpenCV(4.5.5) /io/opencv/modules/imgproc/src/smooth.dispatch.cpp:293: error: (-215:Assertion failed) ksize.width > 0 && ksize.width % 2 == 1 && ksize.height > 0 && ksize.height % 2 == 1 in function 'createGaussianKernels'\n",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31merror\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m/tmp/ipykernel_17561/1543211412.py\u001b[0m in \u001b[0;36mfuncCan\u001b[0;34m(thresh1, thresh2, apertureSize, blur)\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0maperture_size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetTrackbarPos\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Aperture size'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Canny'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mblur\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetTrackbarPos\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Blur'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Canny'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mimage\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGaussianBlur\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mimage2\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGaussianBlur\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0medge\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCanny\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mthresh1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mthresh2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mapertureSize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maperture_size\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31merror\u001b[0m: OpenCV(4.5.5) /io/opencv/modules/imgproc/src/smooth.dispatch.cpp:293: error: (-215:Assertion failed) ksize.width > 0 && ksize.width % 2 == 1 && ksize.height > 0 && ksize.height % 2 == 1 in function 'createGaussianKernels'\n"
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]
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},
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{
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"ename": "error",
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"evalue": "OpenCV(4.5.5) /io/opencv/modules/imgproc/src/smooth.dispatch.cpp:293: error: (-215:Assertion failed) ksize.width > 0 && ksize.width % 2 == 1 && ksize.height > 0 && ksize.height % 2 == 1 in function 'createGaussianKernels'\n",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31merror\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m/tmp/ipykernel_17561/1543211412.py\u001b[0m in \u001b[0;36mfuncCan\u001b[0;34m(thresh1, thresh2, apertureSize, blur)\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0maperture_size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetTrackbarPos\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Aperture size'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Canny'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mblur\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetTrackbarPos\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Blur'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Canny'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mimage\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGaussianBlur\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mimage2\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGaussianBlur\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0medge\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCanny\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mthresh1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mthresh2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mapertureSize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maperture_size\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31merror\u001b[0m: OpenCV(4.5.5) /io/opencv/modules/imgproc/src/smooth.dispatch.cpp:293: error: (-215:Assertion failed) ksize.width > 0 && ksize.width % 2 == 1 && ksize.height > 0 && ksize.height % 2 == 1 in function 'createGaussianKernels'\n"
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]
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},
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{
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"ename": "KeyboardInterrupt",
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"evalue": "",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m/tmp/ipykernel_17561/1543211412.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 39\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 40\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0m__name__\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"__main__\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m \u001b[0mmain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;32m/tmp/ipykernel_17561/1543211412.py\u001b[0m in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m 28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 29\u001b[0m \u001b[0;32mwhile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 30\u001b[0;31m \u001b[0mfuncCan\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 31\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 32\u001b[0m \u001b[0mk\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwaitKey\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m&\u001b[0m \u001b[0;36m0xFF\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/tmp/ipykernel_17561/1543211412.py\u001b[0m in \u001b[0;36mfuncCan\u001b[0;34m(thresh1, thresh2, apertureSize, blur)\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0maperture_size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetTrackbarPos\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Aperture size'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Canny'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mblur\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetTrackbarPos\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Blur'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Canny'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mimage\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGaussianBlur\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mimage2\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGaussianBlur\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mblur\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0medge\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCanny\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mthresh1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mthresh2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mapertureSize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maperture_size\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
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]
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}
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],
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"source": [
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"def funcCan(thresh1=0, thresh2=0, apertureSize=0, blur=0):\n",
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" original=cv.imread(\"img/lena.png\",1)\n",
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" img=original.copy()\n",
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" thresh1 = cv.getTrackbarPos('Threshold 1', 'Canny')\n",
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" thresh2 = cv.getTrackbarPos('Threshold 2', 'Canny')\n",
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" aperture_size = 2 * cv.getTrackbarPos('Aperture size', 'Canny') + 3\n",
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" blur = 2 * cv.getTrackbarPos('Blur', 'Canny') + 1\n",
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" image=cv.GaussianBlur(img,(blur,blur),0)\n",
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" image2=cv.GaussianBlur(img,(blur,blur),0)\n",
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" edge = cv.Canny(image, thresh1, thresh2, apertureSize=aperture_size)\n",
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" cv.imshow('Canny', edge)\n",
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" cv.imshow('Original with blur',image2)\n",
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" \n",
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"def main():\n",
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" original=cv.imread(\"img/lena.png\",1)\n",
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" cv.namedWindow('Canny')\n",
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" cv.imshow('Original',original)\n",
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"\n",
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" thresh1=100\n",
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" thresh2=1\n",
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" aperture_size = 0\n",
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" blur = 2\n",
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"\n",
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" cv.createTrackbar('Threshold 1','Canny',thresh1,255,funcCan)\n",
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" cv.createTrackbar('Threshold 2','Canny',thresh2,255,funcCan)\n",
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" cv.createTrackbar('Aperture size','Canny',aperture_size,2,funcCan)\n",
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" cv.createTrackbar('Blur','Canny',blur,20,funcCan)\n",
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"\n",
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" while(True):\n",
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" funcCan(0,0,0,0)\n",
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"\n",
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" k = cv.waitKey(1) & 0xFF\n",
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" if k == 27:\n",
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" break\n",
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"\n",
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" # Close the window\n",
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" cv.destroyAllWindows()\n",
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" cv.waitKey(1)\n",
|
||||
" \n",
|
||||
"if __name__ == \"__main__\":\n",
|
||||
" main()"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
|
||||
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@ -487,13 +487,302 @@
|
||||
"\n",
|
||||
"W katalogu `vid` znajdują się filmy `blinking-*.mp4`. Napisz program do wykrywania mrugnięć. Opcjonalnie możesz użyć *eye aspect ratio* z [tego artykułu](http://vision.fe.uni-lj.si/cvww2016/proceedings/papers/05.pdf) lub zaproponować własne rozwiązanie."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"id": "d4795fae",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.\n",
|
||||
"Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.\n",
|
||||
"To avoid this problem you can invoke Python with '-m pip' instead of running pip directly.\n",
|
||||
"Defaulting to user installation because normal site-packages is not writeable\n",
|
||||
"Requirement already satisfied: dlib in /home/mikolaj/.local/lib/python3.8/site-packages (19.24.0)\n",
|
||||
"\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.2.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m22.3.1\u001b[0m\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"!pip3 install dlib\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"id": "f1ea5963",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.\n",
|
||||
"Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.\n",
|
||||
"To avoid this problem you can invoke Python with '-m pip' instead of running pip directly.\n",
|
||||
"Defaulting to user installation because normal site-packages is not writeable\n",
|
||||
"Requirement already satisfied: imutils in /home/mikolaj/.local/lib/python3.8/site-packages (0.5.4)\n",
|
||||
"\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.2.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m22.3.1\u001b[0m\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"ename": "",
|
||||
"evalue": "",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31mThe Kernel crashed while executing code in the the current cell or a previous cell. Please review the code in the cell(s) to identify a possible cause of the failure. Click <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. View Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"!pip3 install imutils"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "fe56a033",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[INFO] loading facial landmark predictor...\n",
|
||||
"[INFO] starting video stream thread...\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[ERROR:0@986.863] global /io/opencv/modules/videoio/src/cap.cpp (164) open VIDEOIO(CV_IMAGES): raised OpenCV exception:\n",
|
||||
"\n",
|
||||
"OpenCV(4.5.5) /io/opencv/modules/videoio/src/cap_images.cpp:293: error: (-215:Assertion failed) !_filename.empty() in function 'open'\n",
|
||||
"\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"ename": "KeyboardInterrupt",
|
||||
"evalue": "",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[0;32m/tmp/ipykernel_1138/2981424523.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 64\u001b[0m \u001b[0mgray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCOLOR_BGR2GRAY\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 65\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m \u001b[0mrects\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdetector\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 68\u001b[0m \u001b[0;31m# uncomment to our video\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import argparse\n",
|
||||
"import time\n",
|
||||
"\n",
|
||||
"import cv2\n",
|
||||
"import dlib\n",
|
||||
"import imutils\n",
|
||||
"import numpy as np\n",
|
||||
"from imutils import face_utils\n",
|
||||
"from imutils.video import FileVideoStream, VideoStream\n",
|
||||
"from scipy.spatial import distance as dist\n",
|
||||
"\n",
|
||||
"def eye_aspect_ratio(eye):\n",
|
||||
" A = dist.euclidean(eye[1], eye[5])\n",
|
||||
" B = dist.euclidean(eye[2], eye[4])\n",
|
||||
" C = dist.euclidean(eye[0], eye[3])\n",
|
||||
" ear = (A + B) / (2.0 * C)\n",
|
||||
" return ear\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"EYE_AR_THRESH = 0.3\n",
|
||||
"EYE_AR_CONSEC_FRAMES = 3\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"COUNTER = 0\n",
|
||||
"TOTAL = 0\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"print(\"[INFO] loading facial landmark predictor...\")\n",
|
||||
"detector = dlib.get_frontal_face_detector()\n",
|
||||
"predictor = dlib.shape_predictor('shape_predictor_68_face_landmarks.dat')\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS[\"left_eye\"]\n",
|
||||
"(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS[\"right_eye\"]\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"print(\"[INFO] starting video stream thread...\")\n",
|
||||
"vs = FileVideoStream('').start()\n",
|
||||
"fileStream = True\n",
|
||||
"vs = VideoStream(src=0).start()\n",
|
||||
"fileStream = False\n",
|
||||
"time.sleep(1.0)\n",
|
||||
"\n",
|
||||
"# uncomment to our video\n",
|
||||
"# video = cv2.VideoCapture(\"vid/blinking-woman1.mp4\")\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"while True:\n",
|
||||
"\n",
|
||||
" if fileStream and not vs.more():\n",
|
||||
" break\n",
|
||||
"\n",
|
||||
" frame = vs.read()\n",
|
||||
"\n",
|
||||
" # uncomment to our video\n",
|
||||
" # _, frame = video.read()\n",
|
||||
"\n",
|
||||
" # comment to our video\n",
|
||||
" frame = imutils.resize(frame, width=800)\n",
|
||||
"\n",
|
||||
" # comment to our video\n",
|
||||
" gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
|
||||
"\n",
|
||||
" rects = detector(gray, 0)\n",
|
||||
"\n",
|
||||
" # uncomment to our video\n",
|
||||
" # rects = detector(frame, 0)\n",
|
||||
"\n",
|
||||
" for rect in rects:\n",
|
||||
"\n",
|
||||
" # shape = predictor(gray, rect)\n",
|
||||
" shape = predictor(frame, rect)\n",
|
||||
" shape = face_utils.shape_to_np(shape)\n",
|
||||
"\n",
|
||||
" leftEye = shape[lStart:lEnd]\n",
|
||||
" rightEye = shape[rStart:rEnd]\n",
|
||||
" leftEAR = eye_aspect_ratio(leftEye)\n",
|
||||
" rightEAR = eye_aspect_ratio(rightEye)\n",
|
||||
"\n",
|
||||
" ear = (leftEAR + rightEAR) / 2.0\n",
|
||||
"\n",
|
||||
" leftEyeHull = cv2.convexHull(leftEye)\n",
|
||||
" rightEyeHull = cv2.convexHull(rightEye)\n",
|
||||
" cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)\n",
|
||||
" cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)\n",
|
||||
"\n",
|
||||
" if ear < EYE_AR_THRESH:\n",
|
||||
" COUNTER += 1\n",
|
||||
"\n",
|
||||
" else:\n",
|
||||
"\n",
|
||||
" if COUNTER >= EYE_AR_CONSEC_FRAMES:\n",
|
||||
" TOTAL += 1\n",
|
||||
"\n",
|
||||
" COUNTER = 0\n",
|
||||
"\n",
|
||||
" cv2.putText(\n",
|
||||
" frame,\n",
|
||||
" \"Blinks: {}\".format(TOTAL),\n",
|
||||
" (10, 30),\n",
|
||||
" cv2.FONT_HERSHEY_SIMPLEX,\n",
|
||||
" 0.7,\n",
|
||||
" (0, 0, 255),\n",
|
||||
" 2,\n",
|
||||
" )\n",
|
||||
" cv2.putText(\n",
|
||||
" frame,\n",
|
||||
" \"EAR: {:.2f}\".format(ear),\n",
|
||||
" (300, 30),\n",
|
||||
" cv2.FONT_HERSHEY_SIMPLEX,\n",
|
||||
" 0.7,\n",
|
||||
" (0, 0, 255),\n",
|
||||
" 2,\n",
|
||||
" )\n",
|
||||
"\n",
|
||||
"\n",
|
||||
" cv2.imshow(\"Frame\", frame)\n",
|
||||
" key = cv2.waitKey(1) & 0xFF\n",
|
||||
"\n",
|
||||
" if key == ord(\"q\"):\n",
|
||||
" break\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"cv2.destroyAllWindows()\n",
|
||||
"# vs.stop()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "d4a60b9c",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.\n",
|
||||
"Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.\n",
|
||||
"To avoid this problem you can invoke Python with '-m pip' instead of running pip directly.\n",
|
||||
"Defaulting to user installation because normal site-packages is not writeable\n",
|
||||
"Collecting dlib\n",
|
||||
" Using cached dlib-19.24.0.tar.gz (3.2 MB)\n",
|
||||
" Preparing metadata (setup.py) ... \u001b[?25ldone\n",
|
||||
"\u001b[?25hBuilding wheels for collected packages: dlib\n",
|
||||
" Building wheel for dlib (setup.py) ... \u001b[?25ldone\n",
|
||||
"\u001b[?25h Created wheel for dlib: filename=dlib-19.24.0-cp38-cp38-linux_x86_64.whl size=4100165 sha256=76f1ab4b327e49bd2a857100e2ac9a94dba4113bd2673dafab4a2356ef010a92\n",
|
||||
" Stored in directory: /home/mikolaj/.cache/pip/wheels/4c/d8/2d/a83b10e7bf10cd7d8bef36bf4dcd15b0c9ebf98f990bc984dd\n",
|
||||
"Successfully built dlib\n",
|
||||
"Installing collected packages: dlib\n",
|
||||
"Successfully installed dlib-19.24.0\n",
|
||||
"\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.2.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m22.3.1\u001b[0m\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "2dd528af",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.\n",
|
||||
"Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.\n",
|
||||
"To avoid this problem you can invoke Python with '-m pip' instead of running pip directly.\n",
|
||||
"Defaulting to user installation because normal site-packages is not writeable\n",
|
||||
"Collecting imutils\n",
|
||||
" Downloading imutils-0.5.4.tar.gz (17 kB)\n",
|
||||
" Preparing metadata (setup.py) ... \u001b[?25ldone\n",
|
||||
"\u001b[?25hBuilding wheels for collected packages: imutils\n",
|
||||
" Building wheel for imutils (setup.py) ... \u001b[?25ldone\n",
|
||||
"\u001b[?25h Created wheel for imutils: filename=imutils-0.5.4-py3-none-any.whl size=25836 sha256=fbd551cf6e0c14ad0239a80ba759a98832e345856a631e7d8ed76f2b21ea4279\n",
|
||||
" Stored in directory: /home/mikolaj/.cache/pip/wheels/59/1b/52/0dea905f8278d5514dc4d0be5e251967f8681670cadd3dca89\n",
|
||||
"Successfully built imutils\n",
|
||||
"Installing collected packages: imutils\n",
|
||||
"Successfully installed imutils-0.5.4\n",
|
||||
"\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.2.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m22.3.1\u001b[0m\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"author": "Andrzej Wójtowicz",
|
||||
"email": "andre@amu.edu.pl",
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"display_name": "Python 3.8.12 64-bit",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
@ -508,10 +797,15 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.7.3"
|
||||
"version": "3.8.12"
|
||||
},
|
||||
"subtitle": "09. Wykrywanie i rozpoznawanie tekstu [laboratoria]",
|
||||
"title": "Widzenie komputerowe",
|
||||
"vscode": {
|
||||
"interpreter": {
|
||||
"hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
|
||||
}
|
||||
},
|
||||
"year": "2021"
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
210
wko-10.ipynb
210
wko-10.ipynb
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zag_9.py
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zag_9.py
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import argparse
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import time
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import cv2
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import dlib
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import imutils
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import numpy as np
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from imutils import face_utils
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from imutils.video import FileVideoStream, VideoStream
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from scipy.spatial import distance as dist
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def eye_aspect_ratio(eye):
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A = dist.euclidean(eye[1], eye[5])
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B = dist.euclidean(eye[2], eye[4])
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C = dist.euclidean(eye[0], eye[3])
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ear = (A + B) / (2.0 * C)
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return ear
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ap = argparse.ArgumentParser()
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ap.add_argument(
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"-p", "--shape-predictor", required=True, help="path to facial landmark predictor"
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)
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ap.add_argument("-v", "--video", type=str, default="", help="path to input video file")
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args = vars(ap.parse_args())
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EYE_AR_THRESH = 0.3
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EYE_AR_CONSEC_FRAMES = 3
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COUNTER = 0
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TOTAL = 0
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print("[INFO] loading facial landmark predictor...")
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detector = dlib.get_frontal_face_detector()
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predictor = dlib.shape_predictor(args["shape_predictor"])
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(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
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(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
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print("[INFO] starting video stream thread...")
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vs = FileVideoStream(args["video"]).start()
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fileStream = True
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vs = VideoStream(src=0).start()
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fileStream = False
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time.sleep(1.0)
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# uncomment to our video
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# video = cv2.VideoCapture("vid/blinking-woman1.mp4")
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while True:
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if fileStream and not vs.more():
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break
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frame = vs.read()
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# uncomment to our video
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# _, frame = video.read()
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# comment to our video
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frame = imutils.resize(frame, width=800)
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# comment to our video
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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rects = detector(gray, 0)
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# uncomment to our video
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# rects = detector(frame, 0)
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for rect in rects:
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# shape = predictor(gray, rect)
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shape = predictor(frame, rect)
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shape = face_utils.shape_to_np(shape)
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leftEye = shape[lStart:lEnd]
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rightEye = shape[rStart:rEnd]
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leftEAR = eye_aspect_ratio(leftEye)
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rightEAR = eye_aspect_ratio(rightEye)
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ear = (leftEAR + rightEAR) / 2.0
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leftEyeHull = cv2.convexHull(leftEye)
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rightEyeHull = cv2.convexHull(rightEye)
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cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)
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cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)
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if ear < EYE_AR_THRESH:
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COUNTER += 1
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else:
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if COUNTER >= EYE_AR_CONSEC_FRAMES:
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TOTAL += 1
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COUNTER = 0
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cv2.putText(
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frame,
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"Blinks: {}".format(TOTAL),
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(10, 30),
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cv2.FONT_HERSHEY_SIMPLEX,
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0.7,
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(0, 0, 255),
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2,
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)
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cv2.putText(
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frame,
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"EAR: {:.2f}".format(ear),
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(300, 30),
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cv2.FONT_HERSHEY_SIMPLEX,
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0.7,
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(0, 0, 255),
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2,
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)
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cv2.imshow("Frame", frame)
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key = cv2.waitKey(1) & 0xFF
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if key == ord("q"):
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break
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cv2.destroyAllWindows()
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# vs.stop()
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Reference in New Issue
Block a user