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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"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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