alphuuuu02/Deep-Learning-Face-Detection-Project
013
1{2 "cells": [3 {4 "cell_type": "code",5 "execution_count": 1,6 "id": "f8d9c166-c713-4e3e-900b-df2d6c6df3b2",7 "metadata": {},8 "outputs": [9 {10 "name": "stdout",11 "output_type": "stream",12 "text": [13 "WARNING:tensorflow:TensorFlow GPU support is not available on native Windows for TensorFlow >= 2.11. Even if CUDA/cuDNN are installed, GPU will not be used. Please use WSL2 or the TensorFlow-DirectML plugin.\n"14 ]15 },16 {17 "name": "stderr",18 "output_type": "stream",19 "text": [20 "WARNING:absl:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n"21 ]22 },23 {24 "data": {25 "text/plain": [26 "<Sequential name=sequential, built=True>"27 ]28 },29 "execution_count": 1,30 "metadata": {},31 "output_type": "execute_result"32 }33 ],34 "source": [35 "from tensorflow.keras.models import load_model\n",36 "\n",37 "model=load_model(\"Face_Detection_Model.h5\")\n",38 "model"39 ]40 },41 {42 "cell_type": "code",43 "execution_count": 2,44 "id": "92f623a0-76d0-463e-a7d8-4783296ef2e4",45 "metadata": {},46 "outputs": [],47 "source": [48 "from tensorflow.keras.preprocessing import image\n",49 "import numpy as np\n",50 "\n",51 "test_image = image.load_img(\n",52 " r\"C:\\Users\\abhis\\Desktop\\Deep Learning\\Deep Learning Project\\Face Detection Project\\images\\train\\Face\\00af34930b6f21da.jpg\",\n",53 " target_size=(128,128))\n",54 "\n",55 "test_image = image.img_to_array(test_image)\n",56 "test_image = np.expand_dims(test_image, axis=0)\n",57 "test_image = test_image / 255.0"58 ]59 },60 {61 "cell_type": "code",62 "execution_count": 3,63 "id": "6df15bba-8afd-479f-9e56-8abffffe46b5",64 "metadata": {},65 "outputs": [66 {67 "name": "stdout",68 "output_type": "stream",69 "text": [70 "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 4s/step\n",71 "[[0.12947011]]\n"72 ]73 }74 ],75 "source": [76 "pred = model.predict(test_image)\n",77 "print(pred)"78 ]79 },80 {81 "cell_type": "code",82 "execution_count": 4,83 "id": "031710e6-077c-482d-aa39-9412ab838578",84 "metadata": {},85 "outputs": [86 {87 "name": "stdout",88 "output_type": "stream",89 "text": [90 "Face Detected\n"91 ]92 }93 ],94 "source": [95 "if pred [0][0]>0.5:\n",96 " print(\"Face Not Detected\")\n",97 "else:\n",98 " print(\"Face Detected\")"99 ]100 },101 {102 "cell_type": "code",103 "execution_count": 5,104 "id": "de1d4df7-38de-4bfd-8d82-605a8a904cc9",105 "metadata": {},106 "outputs": [],107 "source": [108 "from tensorflow.keras.preprocessing import image\n",109 "import numpy as np\n",110 "\n",111 "test_image = image.load_img(\n",112 " r\"C:\\Users\\abhis\\Desktop\\Deep Learning\\Deep Learning Project\\Face Detection Project\\images\\train\\No_Face\\001_0001.jpg\",\n",113 " target_size=(128,128))\n",114 "\n",115 "test_image = image.img_to_array(test_image)\n",116 "test_image = np.expand_dims(test_image, axis=0)\n",117 "test_image = test_image / 255.0"118 ]119 },120 {121 "cell_type": "code",122 "execution_count": null,123 "id": "79dba6a6-479c-403a-bfa7-768e2be56564",124 "metadata": {},125 "outputs": [],126 "source": [127 "pred = model.predict(test_image)\n",128 "print(pred)"129 ]130 },131 {132 "cell_type": "code",133 "execution_count": null,134 "id": "80198a51-50d1-4a47-9595-54f5330f728b",135 "metadata": {},136 "outputs": [],137 "source": [138 "if pred [0][0]>0.5:\n",139 " print(\"Face Not Detected\")\n",140 "else:\n",141 " print(\"Face Detected\")"142 ]143 },144 {145 "cell_type": "markdown",146 "id": "70d6e1d0-4cca-470e-9bc0-9e5099139aaa",147 "metadata": {},148 "source": [149 "---"150 ]151 },152 {153 "cell_type": "markdown",154 "id": "8aa5e9f5-2fe5-4d84-9f12-dca2f7834335",155 "metadata": {},156 "source": [157 "**WEB CAM OR LIVE FACE DETECTING**"158 ]159 },160 {161 "cell_type": "code",162 "execution_count": null,163 "id": "571476e8-d9ab-4f1a-bad6-43238be047f6",164 "metadata": {},165 "outputs": [],166 "source": [167 "import cv2\n",168 "\n",169 "#Load Face Detector\n",170 "face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')\n",171 "\n",172 "#Open Webcam\n",173 "cam = cv2.VideoCapture(1) #1 Means Portable Webcam. In Default Is 0 Means Inbuilt Camera.\n",174 "\n",175 "while True:\n",176 " ret, frame = cam.read()\n",177 "\n",178 " if not ret:\n",179 " break\n",180 " \n",181 " #Convert To Grayscale\n",182 " gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)\n",183 "\n",184 " #Detect Faces\n",185 " faces = face_cascade.detectMultiScale(gray, scaleFactor = 1.1, minNeighbors = 5)\n",186 "\n",187 " #If Face Detected\n",188 " if len(faces)>0:\n",189 " text = \"Face Detected\"\n",190 " else:\n",191 " text = \"Face Not Detected\"\n",192 "\n",193 " cv2.putText(frame, text, (20,40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,255,0), 2)\n",194 "\n",195 " #Draw Rectangle Around Faces\n",196 " for (x,y,w,h) in faces:\n",197 " cv2.rectangle(frame, (x,y), (x+w,y+h), (255,0,0), 2)\n",198 "\n",199 " cv2.imshow(\"Live Face Detection\", frame)\n",200 "\n",201 " if cv2.waitKey(1) == 27:\n",202 " break\n",203 "\n",204 "cam.release()\n",205 "cv2.destroyAllWindows()"206 ]207 },208 {209 "cell_type": "code",210 "execution_count": null,211 "id": "2a0764de-c404-4af1-86e1-1fbe751698db",212 "metadata": {},213 "outputs": [],214 "source": []215 }216 ],217 "metadata": {218 "kernelspec": {219 "display_name": "Python [conda env:base] *",220 "language": "python",221 "name": "conda-base-py"222 },223 "language_info": {224 "codemirror_mode": {225 "name": "ipython",226 "version": 3227 },228 "file_extension": ".py",229 "mimetype": "text/x-python",230 "name": "python",231 "nbconvert_exporter": "python",232 "pygments_lexer": "ipython3",233 "version": "3.13.9"234 }235 },236 "nbformat": 4,237 "nbformat_minor": 5238}239