CNN.py
Browse files- CNN Face Recognition.ipynb +102 -0
CNN Face Recognition.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "130f679a",
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"metadata": {},
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"outputs": [],
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"source": [
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"import cv2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "447799d7",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"[ERROR:0@95.846] global persistence.cpp:531 open Can't open file: 'Downloads/haarcascade_fullbody.xml' in read mode\n"
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]
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}
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],
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"source": [
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"model=cv2.CascadeClassifier(\"Downloads/haarcascade_fullbody.xml\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "fff2b133",
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"metadata": {},
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"outputs": [
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{
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"ename": "error",
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"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",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31merror\u001b[0m Traceback (most recent call last)",
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"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",
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"\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"
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]
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}
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],
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"source": [
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"cap = cv2.VideoCapture(0)\n",
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"\n",
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"while True:\n",
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" res, frame = cap.read()\n",
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" gray = cv2.cvtColor(frame,cv2.COLOR_RGB2GRAY)\n",
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" faces = model.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=8)\n",
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" for (x,y,w,h) in faces:\n",
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" cv2.rectangle(frame,(x,y),(x+w,y+h),(256,0,0),2) \n",
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" cv2.imshow(\"Screen\",frame)\n",
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" \n",
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" if cv2.waitKey(1) == ord(\"q\"):\n",
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" break"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e563a053",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "be7ab372-38ce-408b-8a45-948ecd731150",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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