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Expression prediction(org).ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "06a8ee32-1492-4023-83e2-8738646f0a74",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from keras.models import load_model\n",
+    "import os\n",
+    "import cv2\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "06c5f530-7dc8-40b0-94bf-2d3aff5c355e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model=load_model('emotion-059.keras')\n",
+    "\n",
+    "face_clsf=cv2.CascadeClassifier(r'D:/New download/haarcascade_frontalface_default.xml')\n",
+    "\n",
+    "source=cv2.VideoCapture(0)\n",
+    "\n",
+    "labels_dict={0:'Angry',1:'Disgust',2:'Fear',3:'Happy',4:'Neutral',5:'Sad',6:'Surprise'}\n",
+    "color_dict={0:(0,0,255),1:(255,0,0),2:(128,128,128),3:(0,225,0),4:(0,255,255),5:(255,255,0),6:(0,215,255)}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "57beb518-e3d4-4184-9d15-457151591f18",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 877ms/step\n",
+      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 108ms/step\n"
+     ]
+    },
+    {
+     "ename": "error",
+     "evalue": "OpenCV(4.11.0) D:\\a\\opencv-python\\opencv-python\\opencv\\modules\\highgui\\src\\window.cpp:1301: error: (-2:Unspecified error) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Cocoa support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function 'cvShowImage'\n",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31merror\u001b[0m                                     Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[3], line 20\u001b[0m\n\u001b[0;32m     16\u001b[0m     cv2\u001b[38;5;241m.\u001b[39mrectangle(img,(x,y\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m50\u001b[39m),(x\u001b[38;5;241m+\u001b[39mw,y),color_dict[label],\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m     17\u001b[0m     cv2\u001b[38;5;241m.\u001b[39mputText(img, labels_dict[label], (x\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m5\u001b[39m, y\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m10\u001b[39m),cv2\u001b[38;5;241m.\u001b[39mFONT_HERSHEY_SIMPLEX,\u001b[38;5;241m0.8\u001b[39m,(\u001b[38;5;241m255\u001b[39m,\u001b[38;5;241m255\u001b[39m,\u001b[38;5;241m255\u001b[39m),\u001b[38;5;241m2\u001b[39m)\n\u001b[1;32m---> 20\u001b[0m \u001b[43mcv2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimshow\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mFace Emotion Detection\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mimg\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     21\u001b[0m key\u001b[38;5;241m=\u001b[39mcv2\u001b[38;5;241m.\u001b[39mwaitKey(\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m     23\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m(key\u001b[38;5;241m==\u001b[39m\u001b[38;5;241m27\u001b[39m):\n",
+      "\u001b[1;31merror\u001b[0m: OpenCV(4.11.0) D:\\a\\opencv-python\\opencv-python\\opencv\\modules\\highgui\\src\\window.cpp:1301: error: (-2:Unspecified error) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Cocoa support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function 'cvShowImage'\n"
+     ]
+    }
+   ],
+   "source": [
+    "while(True):\n",
+    "    ret,img=source.read()\n",
+    "    gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
+    "    faces=face_clsf.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=5)\n",
+    "\n",
+    "    for (x,y,w,h) in faces:\n",
+    "        face_img=gray[y:y+w,x:x+w]\n",
+    "        resized=cv2.resize(face_img,(100,100))\n",
+    "        normalized=resized/255.0\n",
+    "        reshaped=np.reshape(normalized,(1,100,100,1))\n",
+    "        result=model.predict(reshaped)\n",
+    "\n",
+    "        label=np.argmax(result,axis=1)[0]\n",
+    "\n",
+    "        cv2.rectangle(img,(x,y),(x+w,y+h),color_dict[label],2)\n",
+    "        cv2.rectangle(img,(x,y-50),(x+w,y),color_dict[label],-1)\n",
+    "        cv2.putText(img, labels_dict[label], (x+5, y-10),cv2.FONT_HERSHEY_SIMPLEX,0.8,(255,255,255),2)\n",
+    "        \n",
+    "        \n",
+    "    cv2.imshow('Face Emotion Detection',img)\n",
+    "    key=cv2.waitKey(1)\n",
+    "    \n",
+    "    if(key==27):\n",
+    "        break\n",
+    "        \n",
+    "cv2.destroyAllWindows()\n",
+    "source.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": "3.10.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}