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Added a Computer Vision project for detecting moving object #36

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236 changes: 236 additions & 0 deletions Deep Learning/Moving Object Detection using opencv/Moving_Object_Detection.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Imoprting Libraries"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import cv2\n",
"import time\n",
"import imutils"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Importing Camera"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"cam = cv2.VideoCapture(0)\n",
"time.sleep(1)\n",
"firstFrame = None\n",
"area = 600"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Programming"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Moving Object Detector\n",
"Moving Object Detector\n",
"Moving Object Detector\n",
"Moving Object Detector\n",
"Moving Object Detector\n",
"Moving Object Detector\n",
"Moving Object Detector\n",
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"Moving Object Detector\n",
"Moving Object Detector\n"
]
}
],
"source": [
"while True:\n",
" _, img = cam.read()\n",
" text = \"Moving Object Detector\"\n",
" img = imutils.resize(img, width=600)\n",
" grayImg = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
" gaussianImg = cv2.GaussianBlur(grayImg, (29,29),0)\n",
" if firstFrame is None:\n",
" firstFrame = gaussianImg\n",
" continue\n",
" imgDiff = cv2.absdiff(firstFrame, gaussianImg)\n",
" threshImg = cv2.threshold(imgDiff, 20, 229, cv2.THRESH_BINARY)[1]\n",
" threshImg = cv2.dilate(threshImg, None, iterations=2)\n",
" cnts = cv2.findContours(threshImg.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)\n",
" cnts = imutils.grab_contours(cnts)\n",
" for c in cnts:\n",
" if cv2.contourArea(c)< area:\n",
" continue\n",
" (x,y,w,h) = cv2.boundingRect(c)\n",
" cv2.rectangle(img, (x,y), (x+w, y+h), (0,0,255), 2)\n",
" text = \"Moving Object Detected\"\n",
" print(text)\n",
" cv2.putText(img, text, (15,15), cv2.FONT_ITALIC, 0.7, (0,0,255),2)\n",
" cv2.imshow('Camera Feed', img)\n",
" key = cv2.waitKey(1) & 0xFF\n",
" if key == ord(\"q\"):\n",
" break\n",
"cam.release()\n",
"cv2.destroyAllWindows()"
]
}
],
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"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
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"nbformat": 4,
"nbformat_minor": 4
}