CNN.py

CNN Face Recognition.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "130f679a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cv2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "447799d7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[ERROR:0@95.846] global persistence.cpp:531 open Can't open file: 'Downloads/haarcascade_fullbody.xml' in read mode\n"
+     ]
+    }
+   ],
+   "source": [
+    "model=cv2.CascadeClassifier(\"Downloads/haarcascade_fullbody.xml\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "fff2b133",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "error",
+     "evalue": "OpenCV(4.10.0) /Users/xperience/GHA-Actions-OpenCV/_work/opencv-python/opencv-python/opencv/modules/objdetect/src/cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'detectMultiScale'\n",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31merror\u001b[0m                                     Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[6], line 6\u001b[0m\n\u001b[1;32m      4\u001b[0m res, frame \u001b[38;5;241m=\u001b[39m cap\u001b[38;5;241m.\u001b[39mread()\n\u001b[1;32m      5\u001b[0m gray \u001b[38;5;241m=\u001b[39m cv2\u001b[38;5;241m.\u001b[39mcvtColor(frame,cv2\u001b[38;5;241m.\u001b[39mCOLOR_RGB2GRAY)\n\u001b[0;32m----> 6\u001b[0m faces \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mdetectMultiScale(gray,scaleFactor\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1.1\u001b[39m,minNeighbors\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m8\u001b[39m)\n\u001b[1;32m      7\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m (x,y,w,h) \u001b[38;5;129;01min\u001b[39;00m faces:\n\u001b[1;32m      8\u001b[0m     cv2\u001b[38;5;241m.\u001b[39mrectangle(frame,(x,y),(x\u001b[38;5;241m+\u001b[39mw,y\u001b[38;5;241m+\u001b[39mh),(\u001b[38;5;241m256\u001b[39m,\u001b[38;5;241m0\u001b[39m,\u001b[38;5;241m0\u001b[39m),\u001b[38;5;241m2\u001b[39m) \n",
+      "\u001b[0;31merror\u001b[0m: OpenCV(4.10.0) /Users/xperience/GHA-Actions-OpenCV/_work/opencv-python/opencv-python/opencv/modules/objdetect/src/cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'detectMultiScale'\n"
+     ]
+    }
+   ],
+   "source": [
+    "cap = cv2.VideoCapture(0)\n",
+    "\n",
+    "while True:\n",
+    "    res, frame = cap.read()\n",
+    "    gray = cv2.cvtColor(frame,cv2.COLOR_RGB2GRAY)\n",
+    "    faces = model.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=8)\n",
+    "    for (x,y,w,h) in faces:\n",
+    "        cv2.rectangle(frame,(x,y),(x+w,y+h),(256,0,0),2) \n",
+    "    cv2.imshow(\"Screen\",frame)\n",
+    "    \n",
+    "    if cv2.waitKey(1) == ord(\"q\"):\n",
+    "            break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e563a053",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "be7ab372-38ce-408b-8a45-948ecd731150",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.7"
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+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}