File size: 6,018 Bytes
cd9ae77 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 | import os
import traceback
import uuid
import torch
from dotenv import load_dotenv
from flask import Flask, jsonify, render_template, request
from flask_cors import CORS
from ultralytics import YOLO
from werkzeug.utils import secure_filename
from processing import process_images
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
load_dotenv(os.path.join(BASE_DIR, '.env'))
app = Flask(__name__)
CORS(app)
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg'}
def resolve_app_path(configured_path, default_relative_path):
"""Resolve configured relative paths from the application directory."""
path = configured_path or default_relative_path
if os.path.isabs(path):
return path
return os.path.join(BASE_DIR, path)
UPLOAD_FOLDER = resolve_app_path(os.getenv('UPLOAD_FOLDER'), os.path.join('static', 'uploads'))
MODELS_FOLDER = resolve_app_path(os.getenv('MODELS_FOLDER'), 'models')
PARTS_MODEL_NAME = os.getenv('PARTS_MODEL_NAME', 'best_parts_EP336.pt')
DAMAGE_MODEL_NAME = os.getenv('DAMAGE_MODEL_NAME', 'best_new_EP382.pt')
def resolve_model_path(model_name):
"""Resolve an absolute model path or a filename relative to MODELS_FOLDER."""
if os.path.isabs(model_name):
return model_name
return os.path.join(MODELS_FOLDER, model_name)
PARTS_MODEL_PATH = resolve_model_path(PARTS_MODEL_NAME)
DAMAGE_MODEL_PATH = resolve_model_path(DAMAGE_MODEL_NAME)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
os.makedirs(MODELS_FOLDER, exist_ok=True)
device = 'cuda' if torch.cuda.is_available() else 'cpu'
print(f'Using device: {device}')
def load_model(model_path, label):
"""Load a YOLO model if its configured file exists."""
if not os.path.isfile(model_path):
print(f'Warning: {label} model file not found at {model_path}')
return None
try:
model = YOLO(model_path)
model.to(device)
print(f"Successfully loaded {label.lower()} model '{os.path.basename(model_path)}' on {device}.")
return model
except Exception as exc:
print(f'Error loading {label} model ({model_path}): {exc}')
traceback.print_exc()
return None
parts_model = load_model(PARTS_MODEL_PATH, 'Parts')
damage_model = load_model(DAMAGE_MODEL_PATH, 'Damage')
def allowed_file(filename):
"""Return True when filename has an allowed image extension."""
return bool(filename) and '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
def model_readiness_error():
"""Return a useful model readiness payload, or None when both models are loaded."""
missing = []
if parts_model is None:
missing.append({'model': 'parts', 'path': PARTS_MODEL_PATH})
if damage_model is None:
missing.append({'model': 'damage', 'path': DAMAGE_MODEL_PATH})
if not missing:
return None
return {
'error': 'Prediction models are not ready.',
'missing_or_unloaded_models': missing,
'hint': 'Place the configured .pt files at the listed paths or update MODELS_FOLDER/model names in .env.'
}
@app.route('/')
def home():
"""Serve the main HTML page."""
return render_template('index.html')
@app.route('/health', methods=['GET'])
def health():
"""Expose basic service/model readiness without running inference."""
readiness = model_readiness_error()
if readiness:
return jsonify({'status': 'degraded', **readiness}), 503
return jsonify({'status': 'ok', 'device': device}), 200
@app.route('/predict', methods=['POST'])
def predict():
"""Receive one or more images and return part/damage predictions."""
readiness = model_readiness_error()
if readiness:
return jsonify(readiness), 503
raw_session_key = request.form.get('session_key', '').strip()
session_key = secure_filename(raw_session_key)[:100] or uuid.uuid4().hex
if 'file' not in request.files:
return jsonify({'error': 'No file part in the request'}), 400
files = request.files.getlist('file')
if not files or all(not file.filename for file in files):
return jsonify({'error': 'No selected files'}), 400
saved_images = []
skipped_files = []
try:
for index, file in enumerate(files):
original_filename = file.filename or ''
if not (file and allowed_file(original_filename)):
skipped_files.append(original_filename or f'file_{index}')
continue
safe_original = secure_filename(original_filename) or f'image_{index}.jpg'
unique_filename = f'{uuid.uuid4().hex}_{safe_original}'
filepath = os.path.join(app.config['UPLOAD_FOLDER'], unique_filename)
file.save(filepath)
saved_images.append({
'path': filepath,
'filename': original_filename,
'index': index,
})
if not saved_images:
return jsonify({
'error': 'No valid files were uploaded. Allowed types: png, jpg, jpeg',
'skipped_files': skipped_files,
}), 400
print(f"Processing {len(saved_images)} file(s) for session '{session_key}'...")
results = process_images(parts_model, damage_model, saved_images)
print(f"Processing complete for session '{session_key}'.")
return jsonify(results)
except Exception as exc:
print(f'An error occurred during processing for session {session_key}: {exc}')
traceback.print_exc()
return jsonify({'error': f'An error occurred during processing: {exc}'}), 500
finally:
for image in saved_images:
filepath = image['path']
try:
if os.path.exists(filepath):
os.remove(filepath)
except Exception as exc:
print(f'Error cleaning up file {filepath}: {exc}')
if __name__ == '__main__':
app.run(host='0.0.0.0', port=7860, debug=False)
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