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app.py
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app.py
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import argparse
import io
import os
from PIL import Image
import datetime
import torch
from flask import Flask, render_template, request, redirect
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///data.db'
db = SQLAlchemy(app)
DATETIME_FORMAT = "%Y-%m-%d_%H-%M-%S-%f"
class UploadedImage(db.Model):
id = db.Column(db.Integer, primary_key=True)
filename = db.Column(db.String(255))
path = db.Column(db.String(255))
timestamp = db.Column(db.DateTime, default=datetime.datetime.utcnow)
@app.route("/", methods=["GET", "POST"])
def predict():
if request.method == "POST":
if "file" not in request.files:
return redirect(request.url)
file = request.files["file"]
if not file:
return
img_bytes = file.read()
img = Image.open(io.BytesIO(img_bytes))
results = model([img])
results.render()
now_time = datetime.datetime.now().strftime(DATETIME_FORMAT)
img_savename = f"static/{now_time}.png"
Image.fromarray(results.ims[0]).save(img_savename)
# Create a new UploadedImage instance and add it to the database
new_image = UploadedImage(filename=file.filename, path=img_savename)
db.session.add(new_image)
db.session.commit()
return redirect(img_savename)
return render_template("index.html")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Flask app exposing yolov5 models")
parser.add_argument("--port", default=5000, type=int, help="port number")
args = parser.parse_args()
model_path = 'best.pt'
model = torch.hub.load('ultralytics/yolov5', 'custom', path=model_path)# force_reload = recache latest code
model.eval()
app.run(host="0.0.0.0", port=args.port) # debug=True causes Restarting with stat