after beautiful weekend all done

wko-03.ipynb

@@ -1080,6 +1080,105 @@
     "\n",
     "![HighGUI Canny](img/highgui-canny.png)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b68fdade",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cv2 as cv\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "305441e2",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "error",
+     "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",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31merror\u001b[0m                                     Traceback (most recent call last)",
+      "\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",
+      "\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"
+     ]
+    },
+    {
+     "ename": "error",
+     "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",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31merror\u001b[0m                                     Traceback (most recent call last)",
+      "\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",
+      "\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"
+     ]
+    },
+    {
+     "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_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",
+      "\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",
+      "\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",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "def funcCan(thresh1=0, thresh2=0, apertureSize=0, blur=0):\n",
+    "    original=cv.imread(\"img/lena.png\",1)\n",
+    "    img=original.copy()\n",
+    "    thresh1 = cv.getTrackbarPos('Threshold 1', 'Canny')\n",
+    "    thresh2 = cv.getTrackbarPos('Threshold 2', 'Canny')\n",
+    "    aperture_size = 2 * cv.getTrackbarPos('Aperture size', 'Canny') + 3\n",
+    "    blur = 2 * cv.getTrackbarPos('Blur', 'Canny') + 1\n",
+    "    image=cv.GaussianBlur(img,(blur,blur),0)\n",
+    "    image2=cv.GaussianBlur(img,(blur,blur),0)\n",
+    "    edge = cv.Canny(image, thresh1, thresh2, apertureSize=aperture_size)\n",
+    "    cv.imshow('Canny', edge)\n",
+    "    cv.imshow('Original with blur',image2)\n",
+    "    \n",
+    "def main():\n",
+    "    original=cv.imread(\"img/lena.png\",1)\n",
+    "    cv.namedWindow('Canny')\n",
+    "    cv.imshow('Original',original)\n",
+    "\n",
+    "    thresh1=100\n",
+    "    thresh2=1\n",
+    "    aperture_size = 0\n",
+    "    blur = 2\n",
+    "\n",
+    "    cv.createTrackbar('Threshold 1','Canny',thresh1,255,funcCan)\n",
+    "    cv.createTrackbar('Threshold 2','Canny',thresh2,255,funcCan)\n",
+    "    cv.createTrackbar('Aperture size','Canny',aperture_size,2,funcCan)\n",
+    "    cv.createTrackbar('Blur','Canny',blur,20,funcCan)\n",
+    "\n",
+    "    while(True):\n",
+    "        funcCan(0,0,0,0)\n",
+    "\n",
+    "        k = cv.waitKey(1) & 0xFF\n",
+    "        if k == 27:\n",
+    "            break\n",
+    "\n",
+    "    # Close the window\n",
+    "    cv.destroyAllWindows()\n",
+    "    cv.waitKey(1)\n",
+    "    \n",
+    "if __name__ == \"__main__\":\n",
+    "    main()"
+   ]
   }
  ],
  "metadata": {

wko-09.ipynb

@@ -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,

zag_9.py

@@ -0,0 +1,132 @@
+import argparse
+import time
+
+import cv2
+import dlib
+import imutils
+import numpy as np
+from imutils import face_utils
+from imutils.video import FileVideoStream, VideoStream
+from scipy.spatial import distance as dist
+
+def eye_aspect_ratio(eye):
+    A = dist.euclidean(eye[1], eye[5])
+    B = dist.euclidean(eye[2], eye[4])
+    C = dist.euclidean(eye[0], eye[3])
+    ear = (A + B) / (2.0 * C)
+    return ear
+
+ap = argparse.ArgumentParser()
+ap.add_argument(
+    "-p", "--shape-predictor", required=True, help="path to facial landmark predictor"
+)
+ap.add_argument("-v", "--video", type=str, default="", help="path to input video file")
+args = vars(ap.parse_args())
+
+
+EYE_AR_THRESH = 0.3
+EYE_AR_CONSEC_FRAMES = 3
+
+
+COUNTER = 0
+TOTAL = 0
+
+
+print("[INFO] loading facial landmark predictor...")
+detector = dlib.get_frontal_face_detector()
+predictor = dlib.shape_predictor(args["shape_predictor"])
+
+
+(lStart, lEnd) = face_utils.FACIAL_LANDMARKS_IDXS["left_eye"]
+(rStart, rEnd) = face_utils.FACIAL_LANDMARKS_IDXS["right_eye"]
+
+
+print("[INFO] starting video stream thread...")
+vs = FileVideoStream(args["video"]).start()
+fileStream = True
+vs = VideoStream(src=0).start()
+fileStream = False
+time.sleep(1.0)
+
+# uncomment to our video
+# video = cv2.VideoCapture("vid/blinking-woman1.mp4")
+
+
+while True:
+
+    if fileStream and not vs.more():
+        break
+
+    frame = vs.read()
+
+    # uncomment to our video
+    # _, frame = video.read()
+
+    # comment to our video
+    frame = imutils.resize(frame, width=800)
+
+    # comment to our video
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+    rects = detector(gray, 0)
+
+    # uncomment to our video
+    # rects = detector(frame, 0)
+
+    for rect in rects:
+
+        # shape = predictor(gray, rect)
+        shape = predictor(frame, rect)
+        shape = face_utils.shape_to_np(shape)
+
+        leftEye = shape[lStart:lEnd]
+        rightEye = shape[rStart:rEnd]
+        leftEAR = eye_aspect_ratio(leftEye)
+        rightEAR = eye_aspect_ratio(rightEye)
+
+        ear = (leftEAR + rightEAR) / 2.0
+
+        leftEyeHull = cv2.convexHull(leftEye)
+        rightEyeHull = cv2.convexHull(rightEye)
+        cv2.drawContours(frame, [leftEyeHull], -1, (0, 255, 0), 1)
+        cv2.drawContours(frame, [rightEyeHull], -1, (0, 255, 0), 1)
+
+        if ear < EYE_AR_THRESH:
+            COUNTER += 1
+
+        else:
+
+            if COUNTER >= EYE_AR_CONSEC_FRAMES:
+                TOTAL += 1
+
+            COUNTER = 0
+
+        cv2.putText(
+            frame,
+            "Blinks: {}".format(TOTAL),
+            (10, 30),
+            cv2.FONT_HERSHEY_SIMPLEX,
+            0.7,
+            (0, 0, 255),
+            2,
+        )
+        cv2.putText(
+            frame,
+            "EAR: {:.2f}".format(ear),
+            (300, 30),
+            cv2.FONT_HERSHEY_SIMPLEX,
+            0.7,
+            (0, 0, 255),
+            2,
+        )
+
+
+    cv2.imshow("Frame", frame)
+    key = cv2.waitKey(1) & 0xFF
+
+    if key == ord("q"):
+        break
+
+
+cv2.destroyAllWindows()
+# vs.stop()