updated pdfs

Author: ZainUlMustafa

Diff for: image_proc01.ipynb

@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -128,7 +128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -139,7 +139,7 @@
     "    _,frame = cap.read()\n",
     "    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)\n",
     "    \n",
-    "    upper = np.array([104,114,112])\n",
+    "    upper = np.array([162,58,62])\n",
     "    lower = np.array([255,255,255])\n",
     "    \n",
     "    mask = cv2.inRange(hsv, upper, lower)\n",
@@ -182,11 +182,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Future Workshops\n",
-    "We at ***Sciengit (Ejaarat)*** have a strong belief in sharing information and keep learning, adopting, and adapting to newer and advanced concepts. In the future we are working on a new project for you which is solely on further image processing and machine learning. We are glad that you attended this workshop and we hope that you have learnt something from our team.\n",
+    "### Let's do the fancy stuff in the next\n",
     "\n",
-    "### The End\n",
-    "<img src=\"data/theend.gif\" width=\"800\">"
+    "Open the third tutorial where we will implement simple trignometry rules and plot them"
    ]
   },
   {

Diff for: image_proc01.pdf

@@ -138,21 +138,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "b228ba22-f80d-423c-b95b-5d12e1fb316c",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "82.81924421854173"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "cosineLaw(4,5,6,radian=False)"
    ]
@@ -168,28 +157,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "8883e4db-acc0-4d5c-85db-e864757f4b5d",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "319 238\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "113"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "im = cv2.imread('samples/obt.png')\n",
     "#im = cv2.resize(im, (600,480))\n",
@@ -263,7 +234,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "id": "ccb6f227-8abb-4975-99dc-1da2ba06e729",
    "metadata": {},
    "outputs": [],
@@ -279,7 +250,7 @@
     "\n",
     "    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)\n",
     "\n",
-    "    upper = np.array([104,114,112])\n",
+    "    upper = np.array([162,58,62])\n",
     "    lower = np.array([255,255,255])\n",
     "\n",
     "    mask = cv2.inRange(hsv, upper, lower)\n",
@@ -345,7 +316,7 @@
     "    cv2.imshow('frame', frame)\n",
     "    if cv2.waitKey(1) & 0xff == ord('q'):\n",
     "        cv2.imwrite('samples/proc3.png',frame)\n",
-    "    break\n",
+    "        break\n",
     "    #endif\n",
     "#endwhile\n",
     "cap.release()\n",