Adding a feature matching program.

Coding/Python/Color filtering, hue.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np \n",
+    "import cv2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cap=cv2.VideoCapture(0)\n",
+    "while True:\n",
+    "    _, frame=cap.read()\n",
+    "    hsv=cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)\n",
+    "    lower_red=np.array([150,150,150])\n",
+    "    upper_red=np.array([180,255,255])\n",
+    "    mask=cv2.inRange(hsv,lower_red, upper_red)\n",
+    "    res=cv2.bitwise_and(frame, frame, mask=mask)\n",
+    "    kernel=np.ones((15,15), np.float32)/255\n",
+    "    median=cv2.medianBlur(res,15)\n",
+    "    bilateral=cv2.bilateralFilter(res, 15, 15 , 75)\n",
+    "    cv2.imshow('frame',frame)\n",
+    "    #cv2.imshow('mask',mask)\n",
+    "    cv2.imshow('res',res)\n",
+    "    if cv2.waitKey(5) & 0xFF==ord('q'):\n",
+    "        break\n",
+    "cv2.destroyAllWindows()\n",
+    "cap.release()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

Coding/Python/Template matching.ipynb

@@ -0,0 +1,61 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<function destroyAllWindows>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import cv2\n",
+    "import numpy as np\n",
+    "\n",
+    "img_rgb = cv2.imread('temp.jpg')\n",
+    "img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)\n",
+    "\n",
+    "template = cv2.imread('1.jpg',0)\n",
+    "w, h = template.shape[::-1]\n",
+    "res = cv2.matchTemplate(img_gray,template,cv2.TM_CCOEFF_NORMED)\n",
+    "threshold = 1.0\n",
+    "loc = np.where( res >= threshold)\n",
+    "for pt in zip(*loc[::-1]):\n",
+    "    cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0,255,255), 2)\n",
+    "\n",
+    "cv2.imshow('Detected',img_rgb)\n",
+    "cv2.waitKey()\n",
+    "cv2.destroyAllWindows"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}