Trying to enforce spawn method off multiprocessing

app.py

@@ -16,12 +16,15 @@ import pandas as pd
 from torch import cuda
 from flask import Flask, Response, render_template, request, jsonify, send_file, session
 from multiprocessing.pool import Pool
+from multiprocessing import set_start_method
 from pathlib import Path
 from PIL import Image
 from datetime import datetime
 from werkzeug.utils import secure_filename
 from yolo_utils import detect_in_image
 
+set_start_method('spawn')
+
 app = Flask(__name__)
 app.secret_key = os.environ.get('FLASK_SECRET_KEY', str(uuid.uuid4()))  # For session security
 
@@ -41,7 +44,10 @@ app.config['ALLOWED_EXTENSIONS'] = {'png', 'jpg', 'jpeg', 'tif', 'tiff'}
 # RESULTS_FOLDER.mkdir(parents=True, exist_ok=True)
 # ANNOT_FOLDER.mkdir(parents=True, exist_ok=True)
 
-async_results = {} # this has to be global I think
+# need a global dict to hold async results objects
+# so you can check the progress of an abr
+# maybe there's a better way around this?
+async_results = {}
 
 @app.errorhandler(Exception)
 def handle_exception(e):