update readme

12-model_deploy_guide/flask_deploy/app.py

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+from flask import Flask
+
+app = Flask(__name__)
+
+@app.route("/")
+def hello_world():
+    return "<p>Hello, World!</p>"
+
+
+if __name__ == '__main__':
+    # app.debug = True
+    # app.run(host='0.0.0.0', port=8987, debug=True)
+    app.run(host='0.0.0.0', port=5000)

14-docker_image_container_guide/READEME.md

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+# start docker
+- sudo systemctl start docker
+- sudo service docker start
+

14-docker_image_container_guide/test_mtn.py

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+from flask import Flask
+
+app = Flask(__name__)
+
+@app.route("/")
+def hello_world():
+    return "<p>Hello, World!</p>"
+
+
+if __name__ == '__main__':
+  app.run(host='0.0.0.0', port=5000)
+

8-model_train_guide/yolov8/inference_demo.py

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+from ultralytics import YOLO
+
+
+# train
+# Load a model
+# model = YOLO('yolov8n-seg.yaml')  # build a new model from YAML
+# model = YOLO('yolov8n-seg.pt')  # load a pretrained model (recommended for training)
+# model = YOLO('yolov8n-seg.yaml').load('yolov8n.pt')  # build from YAML and transfer weights
+
+# # Train the model
+# model.train(data='coco128-seg.yaml', epochs=100, imgsz=640)
+
+
+# inference
+# Load a model
+model = YOLO('yolov8n-seg.pt')  # load an official model
+# model = YOLO('path/to/best.pt')  # load a custom model
+
+# Predict with the model
+results = model('https://ultralytics.com/images/bus.jpg')  # predict on an image
+print(results)