Object Recognition using CNN model
Task Description 📄
📌 In this task :
👉Create a model that will detect a car in a live stream or video and recognize characters on number plate of the car .
👉Secondly , it will use the characters and fetch the owners information using RTO API’s .
👉Create a Web portal where all this information will be displayed (using html,css,and js)
Solution:-
Below is the code for uploading the image of car on our webapp which we have created using HTML,CSS and JavaScript.
#!/usr/bin/python3
print(“content-type: text/html”)
print(“Access-Control-Allow-Origin: *”)
print()
import cgi, sys ,os
import cgitb
cgitb.enable()
form = cgi.FieldStorage()
sys.path.insert(0, os.getcwd())
message = None
if ‘filename’ in form:
fileitem = form[‘filename’]
fn = os.path.basename(fileitem.filename)
open(‘/var/www/cgi-bin/’ + fn, ‘wb’).write(fileitem.file.read())
message = ‘The file “‘ + fn + ‘“ was uploaded successfully’
else:
message = ‘No file was uploaded’
replyhtml = “””
<html>
<body>
<p>%s</p>
</body>
</html>
“””
print(replyhtml % message)
ANd the rest code which includes HTML, CSS, JavaScript and model trainning of image using CNN is uploaded on Github repo with full descripton.
Thank you…..