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"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 1: define papermill parameters"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": [
"parameters"
]
},
"outputs": [],
"source": [
"file_path = \"./example.jpg\""
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 2: read file"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import cv2\n",
"\n",
"img = cv2.imread(file_path)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 3: extract text"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"tags": [
"output"
]
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CONSTRUCTION TYPE: VB\n",
"\n",
"OCCUPANCY TYPE: R-3\n",
"\n",
"APN: 00302030\n",
"\n",
"ZONING DISTRICT: R-1\n",
"\n",
"CONSTRUCTION LOCATION:\n",
"\n",
"775 Hamilton Ave Palo Alto Ca 94301\n",
"\n",
"PROJECT OWNER:\n",
"\n",
"Michael Asher (650) 520-8509 mike.asher@gmail.com\n",
"\n",
"775 Hamilton Ave Palo Alto Ca 94301\n",
"\n",
"FIRE SPRINKLERS:\n",
"\n",
"N/A (EXISTING PRIMARY HOME IS NOT EQUIPPED WITH\n",
"\n",
"FIRE SPRINKLERS)\n",
"\n",
"PHOTOVOLTAIC SYSTEM:\n",
"\n",
"TO BE FILED AS A DEFERRED SUBMITTAL - SEE CF1R\n",
"\n",
"GROSS FLOOR AREA:\n",
"\n",
"PROPOSED: 951.62 SQFT\n",
"\n",
"AV. BLDG. HEIG!\n",
"\n",
"PROPOSED: 12-4\" FT\n",
"\n",
"F.AR. CALCS: (800S.F. OF EXEMPT AREA FOR ADU)\n",
"\n",
"ALLOWABLE F.A.R. 3,450 SOFT\n",
"\n",
"LOT: 9,352 SQFT\n",
"\n",
"PRIMARY DWELLING FOOTPRINT: 2.388 SQFT\n",
"\n",
"PROPOSED ADU FOOTPRINT: 750 SQFT\n",
"\n",
"PROPOSED JADU FOOTPRINT: 350 SQFT\n",
"\n",
"RATIO: 29%\n",
"\n",
"PROJECT SCOPE:\n",
"\n",
"NEW CONSTRUCTION OF ADU & JADU ATTACHED TO\n",
"\n",
"EXISTING SINGLE-FAMILY PRIMARY DWELLING UNIT.\n"
]
}
],
"source": [
"import pytesseract\n",
"import cv2\n",
"\n",
"img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
"text = pytesseract.image_to_string(img_rgb)\n",
"\n",
"lines = [line.strip() for line in text.split(\"\\n\")]\n",
"lines = [line for line in lines if len(line) > 0]\n",
"\n",
"print(\"\\n\\n\".join(lines))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.10.6"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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