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app.py
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app.py
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from ObjectDetector import Detector
from ObjectDetector import test_object
from ObjectDetector import COCO
import io
import subprocess
from flask import Flask, render_template, request, send_from_directory, send_file
from PIL import Image
from flask import send_file
import flask
import requests
import os
import urllib.request
import uuid
#python2
#import urllib2.Request
app = Flask(__name__)
test = test_object()
detector = Detector()
coco = COCO()
#function to load img from url
def load_image_url(url):
response = requests.get(url)
img = Image.open(io.BytesIO(response.content))
return img
@app.route("/")
def index():
return render_template('index.html')
@app.route("/classify", methods=['POST', 'GET'])
def upload():
if request.method == 'POST':
file = Image.open(request.files['file'].stream)
img = detector.detectObject(file)
return send_file(io.BytesIO(img),attachment_filename='image.jpg',mimetype='image/jpg')
elif request.method == 'GET':
url = flask.request.args.get("url")
print(url)
file = load_image_url(url)
img = detector.detectObject(file)
return send_file(io.BytesIO(img),attachment_filename='image.jpg',mimetype='image/jpg')
@app.route("/parkinglot_detection", methods=['GET'])
def upload_parking():
if request.method == 'GET':
# get url
url = flask.request.args.get("url")
print(url)
# save image in cwd
filepath = os.getcwd()+'/file.jpg'
urllib.request.urlretrieve(url, filepath)
img = detector.run_detection_image(filepath)
return send_file(io.BytesIO(img),attachment_filename='image1.jpg',mimetype='image1/jpg')
@app.route("/COCO_detection", methods=['GET'])
def upload_coco():
if (request.method == 'GET'):
# get url
url = flask.request.args.get("url")
print(url)
# save image in cwd
filepath = os.getcwd()+'/file.jpg'
urllib.request.urlretrieve(url, filepath)
# run detection
img = coco.driver(filepath)
return send_file(io.BytesIO(img),attachment_filename='image1.jpg',mimetype='image1/jpg')
@app.route("/insta", methods=['POST', 'GET'])
def insta():
if request.method == 'POST':
file = request.files['file']
file.save(os.getcwd()+'/file.jpg')
filepath = os.getcwd()+'/file.jpg'
elif (request.method == 'GET'):
# get url
url = flask.request.args.get("url")
print(url)
# save image in cwd
filepath = os.getcwd()+'/file.jpg'
urllib.request.urlretrieve(url, filepath)
# run detection
score = test_object.instagram_popularity(filepath)
text_file = open("output.txt", "w")
text_file.write("Score: %s" % str(score))
text_file.close()
return send_file("output.txt", attachment_filename='filename.txt',mimetype='text/plain')
@app.route("/test", methods=['POST', 'GET'])
def test():
#generate hash and get filepath
unqiue_name = str(uuid.uuid1())
filepath = os.getcwd()+'/'+unqiue_name+'.jpg'
if request.method == 'POST':
file = request.files['file']
file.save(filepath)
elif (request.method == 'GET'):
# get url
url = flask.request.args.get("url")
print(url)
# save image in cwd
try:
urllib.request.urlretrieve(url, filepath)
except:
# failure- invalid url
return
# run detection
test_filepath = test_object.OCR_test(filepath, unqiue_name)
# img = test_object.cv_detect_object(filepath)
if(test_filepath == ''):
return
else:
return send_file(test_filepath, attachment_filename='filename.txt',mimetype='text/plain')
if __name__ == "__main__":
port = int(os.environ.get('PORT', 8080))
#app.run()
app.run(host='0.0.0.0', port=port)