A New Barcode Type For Analysis
Barcode Encoder and Decoder
This post provides a simple web application to generate and read barcodes using Python and Flask.
Flask Application
# app.py
from flask import Flask, request, render_template, send_file, redirect, url_for
from barcode_utils import generate_barcode_image, read_barcode_image
import os
app = Flask(__name__)
UPLOAD_FOLDER = 'uploads'
os.makedirs(UPLOAD_FOLDER, exist_ok=True)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/generate', methods=['POST'])
def generate_barcode():
distances = request.form['distances']
distances = list(map(int, distances.split()))
filename = 'generated_barcode.png'
generate_barcode_image(distances, filename=filename)
return send_file(filename, mimetype='image/png')
@app.route('/read', methods=['POST'])
def read_barcode():
if 'barcode_image' not in request.files:
return redirect(request.url)
file = request.files['barcode_image']
if file.filename == '':
return redirect(request.url)
filepath = os.path.join(UPLOAD_FOLDER, file.filename)
file.save(filepath)
results = read_barcode_image(filepath)
return render_template('results.html', results=results)
if __name__ == '__main__':
app.run(debug=True)
from flask import Flask, request, render_template, send_file, redirect, url_for
from barcode_utils import generate_barcode_image, read_barcode_image
import os
app = Flask(__name__)
UPLOAD_FOLDER = 'uploads'
os.makedirs(UPLOAD_FOLDER, exist_ok=True)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/generate', methods=['POST'])
def generate_barcode():
distances = request.form['distances']
distances = list(map(int, distances.split()))
filename = 'generated_barcode.png'
generate_barcode_image(distances, filename=filename)
return send_file(filename, mimetype='image/png')
@app.route('/read', methods=['POST'])
def read_barcode():
if 'barcode_image' not in request.files:
return redirect(request.url)
file = request.files['barcode_image']
if file.filename == '':
return redirect(request.url)
filepath = os.path.join(UPLOAD_FOLDER, file.filename)
file.save(filepath)
results = read_barcode_image(filepath)
return render_template('results.html', results=results)
if __name__ == '__main__':
app.run(debug=True)
Barcode Utilities
# barcode_utils.py
import cv2
from pyzbar.pyzbar import decode
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import patches
def generate_barcode_image(distances, width=2, height=100, filename="generated_barcode.png"):
fig, ax = plt.subplots(figsize=(10, 2))
ax.set_axis_off()
x = 10
for i, distance in enumerate(distances):
color = 'black' if i % 2 == 0 else 'white'
rect = patches.Rectangle((x, 0), distance * width, height, linewidth=1, edgecolor=color, facecolor=color)
ax.add_patch(rect)
x += distance * width
plt.xlim(0, x + 10)
plt.ylim(0, height)
plt.savefig(filename, bbox_inches='tight', pad_inches=0)
plt.close()
def read_barcode_image(filename):
barcode_image = cv2.imread(filename)
decoded_objects = decode(barcode_image)
results = []
for obj in decoded_objects:
results.append({
"Type": obj.type,
"Data": obj.data.decode('utf-8')
})
return results
import cv2
from pyzbar.pyzbar import decode
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import patches
def generate_barcode_image(distances, width=2, height=100, filename="generated_barcode.png"):
fig, ax = plt.subplots(figsize=(10, 2))
ax.set_axis_off()
x = 10
for i, distance in enumerate(distances):
color = 'black' if i % 2 == 0 else 'white'
rect = patches.Rectangle((x, 0), distance * width, height, linewidth=1, edgecolor=color, facecolor=color)
ax.add_patch(rect)
x += distance * width
plt.xlim(0, x + 10)
plt.ylim(0, height)
plt.savefig(filename, bbox_inches='tight', pad_inches=0)
plt.close()
def read_barcode_image(filename):
barcode_image = cv2.imread(filename)
decoded_objects = decode(barcode_image)
results = []
for obj in decoded_objects:
results.append({
"Type": obj.type,
"Data": obj.data.decode('utf-8')
})
return results
HTML Templates
index.html
<!DOCTYPE html>
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>ChatGPT-ZBAR</title>
</head>
<body>
<h1>ChatGPT-ZBAR</h1>
<h2>Generate Barcode</h2>
<form action="/generate" method="post">
<label for="distances">Enter distances (space-separated):</label><br>
<input type="text" id="distances" name="distances"><br><br>
<input type="submit" value="Generate Barcode">
</form>
<h2>Read Barcode</h2>
<form action="/read" method="post" enctype="multipart/form-data">
<label for="barcode_image">Upload barcode image:</label><br>
<input type="file" id="barcode_image" name="barcode_image"><br><br>
<input type="submit" value="Read Barcode">
</form>
</body>
</html>
results.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Barcode Results</title>
</head>
<body>
<h1>Barcode Results</h1>
{% if results %}
<ul>
{% for result in results %}
<li>Type: {{ result.Type }}, Data: {{ result.Data }}</li>
{% endfor %}
</ul>
{% else %}
<p>No barcode found.</p>
{% endif %}
<a href="/">Go Back</a>
</body>
</html>
Barcode Encoder and Decoder
This post provides a simple web application to generate and read barcodes using Python and Flask.
Creating Necessary Files
Follow these steps to create the necessary files and directories for the project.
Step 1: Create `app.py`
# app.py
from flask import Flask, request, render_template, send_file, redirect, url_for
from barcode_utils import generate_barcode_image, read_barcode_image
import os
app = Flask(__name__)
UPLOAD_FOLDER = 'uploads'
os.makedirs(UPLOAD_FOLDER, exist_ok=True)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/generate', methods=['POST'])
def generate_barcode():
distances = request.form['distances']
distances = list(map(int, distances.split()))
filename = 'generated_barcode.png'
generate_barcode_image(distances, filename=filename)
return send_file(filename, mimetype='image/png')
@app.route('/read', methods=['POST'])
def read_barcode():
if 'barcode_image' not in request.files:
return redirect(request.url)
file = request.files['barcode_image']
if file.filename == '':
return redirect(request.url)
filepath = os.path.join(UPLOAD_FOLDER, file.filename)
file.save(filepath)
results = read_barcode_image(filepath)
return render_template('results.html', results=results)
if __name__ == '__main__':
app.run(debug=True)
from flask import Flask, request, render_template, send_file, redirect, url_for
from barcode_utils import generate_barcode_image, read_barcode_image
import os
app = Flask(__name__)
UPLOAD_FOLDER = 'uploads'
os.makedirs(UPLOAD_FOLDER, exist_ok=True)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/generate', methods=['POST'])
def generate_barcode():
distances = request.form['distances']
distances = list(map(int, distances.split()))
filename = 'generated_barcode.png'
generate_barcode_image(distances, filename=filename)
return send_file(filename, mimetype='image/png')
@app.route('/read', methods=['POST'])
def read_barcode():
if 'barcode_image' not in request.files:
return redirect(request.url)
file = request.files['barcode_image']
if file.filename == '':
return redirect(request.url)
filepath = os.path.join(UPLOAD_FOLDER, file.filename)
file.save(filepath)
results = read_barcode_image(filepath)
return render_template('results.html', results=results)
if __name__ == '__main__':
app.run(debug=True)
Step 2: Create `barcode_utils.py`
# barcode_utils.py
import cv2
from pyzbar.pyzbar import decode
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import patches
def generate_barcode_image(distances, width=2, height=100, filename="generated_barcode.png"):
fig, ax = plt.subplots(figsize=(10, 2))
ax.set_axis_off()
x = 10
for i, distance in enumerate(distances):
color = 'black' if i % 2 == 0 else 'white'
rect = patches.Rectangle((x, 0), distance * width, height, linewidth=1, edgecolor=color, facecolor=color)
ax.add_patch(rect)
x += distance * width
plt.xlim(0, x + 10)
plt.ylim(0, height)
plt.savefig(filename, bbox_inches='tight', pad_inches=0)
plt.close()
def read_barcode_image(filename):
barcode_image = cv2.imread(filename)
decoded_objects = decode(barcode_image)
results = []
for obj in decoded_objects:
results.append({
"Type": obj.type,
"Data": obj.data.decode('utf-8')
})
import cv2
from pyzbar.pyzbar import decode
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import patches
def generate_barcode_image(distances, width=2, height=100, filename="generated_barcode.png"):
fig, ax = plt.subplots(figsize=(10, 2))
ax.set_axis_off()
x = 10
for i, distance in enumerate(distances):
color = 'black' if i % 2 == 0 else 'white'
rect = patches.Rectangle((x, 0), distance * width, height, linewidth=1, edgecolor=color, facecolor=color)
ax.add_patch(rect)
x += distance * width
plt.xlim(0, x + 10)
plt.ylim(0, height)
plt.savefig(filename, bbox_inches='tight', pad_inches=0)
plt.close()
def read_barcode_image(filename):
barcode_image = cv2.imread(filename)
decoded_objects = decode(barcode_image)
results = []
for obj in decoded_objects:
results.append({
"Type": obj.type,
"Data": obj.data.decode('utf-8')
})