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app.py
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app.py
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from flask import Flask, redirect, render_template, request, send_from_directory, url_for
import cv2
from keras.models import load_model
from PIL import Image
import numpy as np
import os
app = Flask(__name__)
@app.route("/")
def hello_world():
return render_template("index.html")
NAME = ""
PATH = "data"
i = 0
j = 0
@app.route('/detector', methods=['POST'])
def detector():
global j
if j == 0:
global model2
model2 = load_model("static/models/model_2.h5")
# model2 = load_model("static\models\model_2.h5")
image = request.files['image']
name = request.form.get('name')
global NAME
NAME = name
print(f"Name = {name}")
path = fr'static/user_images/{name}.jpg'
global PATH
PATH = path
image.save(path)
image = Image.open(image.stream)
image = image.resize((224, 224))
image.save(path)
# ___________________________________________
img = cv2.imread(path)
gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imwrite('static/gray.jpg', gray_image)
# apply the Canny edge detection
edges = cv2.Canny(img, 100, 200)
cv2.imwrite('static/edges.jpg