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from flask import Flask, render_template, request, session | |
import os | |
import subprocess | |
import glob | |
from PIL import Image | |
import shutil | |
import base64 | |
import io | |
app = Flask(__name__) | |
app.config['UPLOAD_FOLDER'] = '/Users/furkanuysal/Desktop/DataScienceRepository/satellite_imagery_ship_detection_cnn/static' | |
def index(): | |
return render_template('index.html') | |
def run_detection(image_path, weights_path): | |
shutil.rmtree('/Users/furkanuysal/Desktop/DataScienceRepository/satellite_imagery_ship_detection_cnn/predictions/') | |
cmd = ['python', '/Users/furkanuysal/Desktop/DataScienceRepository/satellite_imagery_ship_detection_cnn/yolov5/detect.py', | |
'--project', '/Users/furkanuysal/Desktop/DataScienceRepository/satellite_imagery_ship_detection_cnn/predictions' , | |
'--source', image_path, '--weights', weights_path, '--name', '1'] | |
return subprocess.run(cmd) | |
def upload_file(): | |
file = request.files['file'] | |
if file: | |
file.save(os.path.join(app.config['UPLOAD_FOLDER'], file.filename)) | |
image_path = os.path.join(app.config['UPLOAD_FOLDER'], file.filename) | |
weights_path = '/Users/furkanuysal/Desktop/DataScienceRepository/satellite_imagery_ship_detection_cnn/tgrs_yolov5m_weights.pt' | |
output = run_detection(image_path, weights_path) | |
output_image_path = glob.glob('/Users/furkanuysal/Desktop/DataScienceRepository/satellite_imagery_ship_detection_cnn/predictions/1/*')[0] | |
def pillow_image_to_base64_string(img): | |
buffered = io.BytesIO() | |
img.save(buffered, format="JPEG") | |
return base64.b64encode(buffered.getvalue()).decode("utf-8") | |
def base64_string_to_pillow_image(base64_str): | |
return Image.open(io.BytesIO(base64.decodebytes(bytes(base64_str, "utf-8")))) | |
my_img = Image.open(output_image_path) | |
data_url = 'data:image/jpeg;base64,' + pillow_image_to_base64_string(my_img) | |
size = Image.open(output_image_path) | |
width = size.width | |
height = size.height | |
#return render_template('index.html', message='Upload success', output_image_path=output_image_path) | |
return render_template('index.html', message = 'Detection Success',data_url=data_url, | |
width=width/2, height=height/2) | |
if __name__ == '__main__': | |
app.run(debug=True) | |