main.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "70f104b8-62f0-465c-9051-a046d4cc96d8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-13 01:01:27.998511: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n",
      "2023-12-13 01:01:27.998543: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "Descriptors cannot not be created directly.\nIf this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.\nIf you cannot immediately regenerate your protos, some other possible workarounds are:\n 1. Downgrade the protobuf package to 3.20.x or lower.\n 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).\n\nMore information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[9], line 6\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mos\u001b[39;00m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m# from sklearn.metrics import classification_report\u001b[39;00m\n\u001b[0;32m----> 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mkeras\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_model\n\u001b[1;32m      7\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mtf\u001b[39;00m\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdata_handling\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n",
      "File \u001b[0;32m/opt/jupyterhub/lib/python3.10/site-packages/tensorflow/__init__.py:37\u001b[0m\n\u001b[1;32m     34\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[1;32m     35\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtyping\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_typing\u001b[39;00m\n\u001b[0;32m---> 37\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mtools\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m module_util \u001b[38;5;28;01mas\u001b[39;00m _module_util\n\u001b[1;32m     38\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutil\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlazy_loader\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m LazyLoader \u001b[38;5;28;01mas\u001b[39;00m _LazyLoader\n\u001b[1;32m     40\u001b[0m \u001b[38;5;66;03m# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.\u001b[39;00m\n",
      "File \u001b[0;32m/opt/jupyterhub/lib/python3.10/site-packages/tensorflow/python/__init__.py:37\u001b[0m\n\u001b[1;32m     29\u001b[0m \u001b[38;5;66;03m# We aim to keep this file minimal and ideally remove completely.\u001b[39;00m\n\u001b[1;32m     30\u001b[0m \u001b[38;5;66;03m# If you are adding a new file with @tf_export decorators,\u001b[39;00m\n\u001b[1;32m     31\u001b[0m \u001b[38;5;66;03m# import it in modules_with_exports.py instead.\u001b[39;00m\n\u001b[1;32m     32\u001b[0m \n\u001b[1;32m     33\u001b[0m \u001b[38;5;66;03m# go/tf-wildcard-import\u001b[39;00m\n\u001b[1;32m     34\u001b[0m \u001b[38;5;66;03m# pylint: disable=wildcard-import,g-bad-import-order,g-import-not-at-top\u001b[39;00m\n\u001b[1;32m     36\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m pywrap_tensorflow \u001b[38;5;28;01mas\u001b[39;00m _pywrap_tensorflow\n\u001b[0;32m---> 37\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meager\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m context\n\u001b[1;32m     39\u001b[0m \u001b[38;5;66;03m# pylint: enable=wildcard-import\u001b[39;00m\n\u001b[1;32m     40\u001b[0m \n\u001b[1;32m     41\u001b[0m \u001b[38;5;66;03m# Bring in subpackages.\u001b[39;00m\n\u001b[1;32m     42\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m data\n",
      "File \u001b[0;32m/opt/jupyterhub/lib/python3.10/site-packages/tensorflow/python/eager/context.py:29\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[1;32m     27\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msix\u001b[39;00m\n\u001b[0;32m---> 29\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m function_pb2\n\u001b[1;32m     30\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mprotobuf\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m config_pb2\n\u001b[1;32m     31\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mprotobuf\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m coordination_config_pb2\n",
      "File \u001b[0;32m/opt/jupyterhub/lib/python3.10/site-packages/tensorflow/core/framework/function_pb2.py:16\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;66;03m# @@protoc_insertion_point(imports)\u001b[39;00m\n\u001b[1;32m     13\u001b[0m _sym_db \u001b[38;5;241m=\u001b[39m _symbol_database\u001b[38;5;241m.\u001b[39mDefault()\n\u001b[0;32m---> 16\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m attr_value_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_attr__value__pb2\n\u001b[1;32m     17\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m node_def_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_node__def__pb2\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m op_def_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_op__def__pb2\n",
      "File \u001b[0;32m/opt/jupyterhub/lib/python3.10/site-packages/tensorflow/core/framework/attr_value_pb2.py:16\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;66;03m# @@protoc_insertion_point(imports)\u001b[39;00m\n\u001b[1;32m     13\u001b[0m _sym_db \u001b[38;5;241m=\u001b[39m _symbol_database\u001b[38;5;241m.\u001b[39mDefault()\n\u001b[0;32m---> 16\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m tensor_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_tensor__pb2\n\u001b[1;32m     17\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m tensor_shape_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m types_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_types__pb2\n",
      "File \u001b[0;32m/opt/jupyterhub/lib/python3.10/site-packages/tensorflow/core/framework/tensor_pb2.py:16\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;66;03m# @@protoc_insertion_point(imports)\u001b[39;00m\n\u001b[1;32m     13\u001b[0m _sym_db \u001b[38;5;241m=\u001b[39m _symbol_database\u001b[38;5;241m.\u001b[39mDefault()\n\u001b[0;32m---> 16\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m resource_handle_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_resource__handle__pb2\n\u001b[1;32m     17\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m tensor_shape_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m types_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_types__pb2\n",
      "File \u001b[0;32m/opt/jupyterhub/lib/python3.10/site-packages/tensorflow/core/framework/resource_handle_pb2.py:16\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;66;03m# @@protoc_insertion_point(imports)\u001b[39;00m\n\u001b[1;32m     13\u001b[0m _sym_db \u001b[38;5;241m=\u001b[39m _symbol_database\u001b[38;5;241m.\u001b[39mDefault()\n\u001b[0;32m---> 16\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m tensor_shape_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2\n\u001b[1;32m     17\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mframework\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m types_pb2 \u001b[38;5;28;01mas\u001b[39;00m tensorflow_dot_core_dot_framework_dot_types__pb2\n\u001b[1;32m     20\u001b[0m DESCRIPTOR \u001b[38;5;241m=\u001b[39m _descriptor\u001b[38;5;241m.\u001b[39mFileDescriptor(\n\u001b[1;32m     21\u001b[0m   name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtensorflow/core/framework/resource_handle.proto\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     22\u001b[0m   package\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtensorflow\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     26\u001b[0m   ,\n\u001b[1;32m     27\u001b[0m   dependencies\u001b[38;5;241m=\u001b[39m[tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2\u001b[38;5;241m.\u001b[39mDESCRIPTOR,tensorflow_dot_core_dot_framework_dot_types__pb2\u001b[38;5;241m.\u001b[39mDESCRIPTOR,])\n",
      "File \u001b[0;32m/opt/jupyterhub/lib/python3.10/site-packages/tensorflow/core/framework/tensor_shape_pb2.py:36\u001b[0m\n\u001b[1;32m     13\u001b[0m _sym_db \u001b[38;5;241m=\u001b[39m _symbol_database\u001b[38;5;241m.\u001b[39mDefault()\n\u001b[1;32m     18\u001b[0m DESCRIPTOR \u001b[38;5;241m=\u001b[39m _descriptor\u001b[38;5;241m.\u001b[39mFileDescriptor(\n\u001b[1;32m     19\u001b[0m   name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtensorflow/core/framework/tensor_shape.proto\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     20\u001b[0m   package\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtensorflow\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     23\u001b[0m   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\u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43msize\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfull_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtensorflow.TensorShapeProto.Dim.size\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m     38\u001b[0m \u001b[43m      \u001b[49m\u001b[43mnumber\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcpp_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m     39\u001b[0m \u001b[43m      \u001b[49m\u001b[43mhas_default_value\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdefault_value\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m     40\u001b[0m \u001b[43m      \u001b[49m\u001b[43mmessage_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menum_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontaining_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m     41\u001b[0m \u001b[43m      \u001b[49m\u001b[43mis_extension\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextension_scope\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m     42\u001b[0m \u001b[43m      \u001b[49m\u001b[43mserialized_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfile\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mDESCRIPTOR\u001b[49m\u001b[43m)\u001b[49m,\n\u001b[1;32m     43\u001b[0m     _descriptor\u001b[38;5;241m.\u001b[39mFieldDescriptor(\n\u001b[1;32m     44\u001b[0m       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serialized_options\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m     57\u001b[0m   is_extendable\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m     58\u001b[0m   syntax\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mproto3\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     59\u001b[0m   extension_ranges\u001b[38;5;241m=\u001b[39m[],\n\u001b[1;32m     60\u001b[0m   oneofs\u001b[38;5;241m=\u001b[39m[\n\u001b[1;32m     61\u001b[0m   ],\n\u001b[1;32m     62\u001b[0m   serialized_start\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m149\u001b[39m,\n\u001b[1;32m     63\u001b[0m   serialized_end\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m182\u001b[39m,\n\u001b[1;32m     64\u001b[0m )\n\u001b[1;32m     66\u001b[0m _TENSORSHAPEPROTO \u001b[38;5;241m=\u001b[39m _descriptor\u001b[38;5;241m.\u001b[39mDescriptor(\n\u001b[1;32m     67\u001b[0m   name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTensorShapeProto\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m     68\u001b[0m   full_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtensorflow.TensorShapeProto\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    100\u001b[0m   serialized_end\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m182\u001b[39m,\n\u001b[1;32m    101\u001b[0m )\n\u001b[1;32m    103\u001b[0m _TENSORSHAPEPROTO_DIM\u001b[38;5;241m.\u001b[39mcontaining_type \u001b[38;5;241m=\u001b[39m _TENSORSHAPEPROTO\n",
      "File \u001b[0;32m/opt/jupyterhub/lib/python3.10/site-packages/google/protobuf/descriptor.py:561\u001b[0m, in \u001b[0;36mFieldDescriptor.__new__\u001b[0;34m(cls, name, full_name, index, number, type, cpp_type, label, default_value, message_type, enum_type, containing_type, is_extension, extension_scope, options, serialized_options, has_default_value, containing_oneof, json_name, file, create_key)\u001b[0m\n\u001b[1;32m    555\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__new__\u001b[39m(\u001b[38;5;28mcls\u001b[39m, name, full_name, index, number, \u001b[38;5;28mtype\u001b[39m, cpp_type, label,\n\u001b[1;32m    556\u001b[0m             default_value, message_type, enum_type, containing_type,\n\u001b[1;32m    557\u001b[0m             is_extension, extension_scope, options\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    558\u001b[0m             serialized_options\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    559\u001b[0m             has_default_value\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, containing_oneof\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, json_name\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    560\u001b[0m             file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, create_key\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):  \u001b[38;5;66;03m# pylint: disable=redefined-builtin\u001b[39;00m\n\u001b[0;32m--> 561\u001b[0m   \u001b[43m_message\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mMessage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_CheckCalledFromGeneratedFile\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    562\u001b[0m   \u001b[38;5;28;01mif\u001b[39;00m is_extension:\n\u001b[1;32m    563\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m _message\u001b[38;5;241m.\u001b[39mdefault_pool\u001b[38;5;241m.\u001b[39mFindExtensionByName(full_name)\n",
      "\u001b[0;31mTypeError\u001b[0m: Descriptors cannot not be created directly.\nIf this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.\nIf you cannot immediately regenerate your protos, some other possible workarounds are:\n 1. Downgrade the protobuf package to 3.20.x or lower.\n 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).\n\nMore information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates"
     ]
    }
   ],
   "source": [
    "# source group/bagel/Task_1.B/brainseg_env/bin/activate\n",
    "# python group/bagel/Task_1.B/main.py\n",
    "\n",
    "import os\n",
    "# from sklearn.metrics import classification_report\n",
    "from tensorflow.keras.utils import plot_model\n",
    "import tensorflow as tf\n",
    "\n",
    "from data_handling import *\n",
    "from model import *\n",
    "from eval import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a4f9d17e-3b1b-4161-89d9-db339a9b3175",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: scikit-learn in /home/tu-orabe/.local/lib/python3.10/site-packages (1.3.2)\n",
      "Requirement already satisfied: numpy<2.0,>=1.17.3 in /home/tu-orabe/.local/lib/python3.10/site-packages (from scikit-learn) (1.26.2)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/tu-orabe/.local/lib/python3.10/site-packages (from scikit-learn) (3.2.0)\n",
      "Requirement already satisfied: scipy>=1.5.0 in /home/tu-orabe/.local/lib/python3.10/site-packages (from scikit-learn) (1.11.4)\n",
      "Requirement already satisfied: joblib>=1.1.1 in /home/tu-orabe/.local/lib/python3.10/site-packages (from scikit-learn) (1.3.2)\n"
     ]
    }
   ],
   "source": [
    "!pip install scikit-learn"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4669152c-9a3b-49bc-83f1-31dfd36a878b",
   "metadata": {},
   "source": [
    "# Set GPU device"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6fa443c0-e36b-48a4-8ca5-a7e9ba4ce9f6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 Physical GPUs, 1 Logical GPU\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-11 17:55:59.013494: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1929] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 6465 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:21:00.0, compute capability: 7.5\n"
     ]
    }
   ],
   "source": [
    "gpus = tf.config.experimental.list_physical_devices('GPU')\n",
    "if gpus:\n",
    "    # Restrict TensorFlow to only allocate memory on the first GPU\n",
    "    try:\n",
    "        tf.config.experimental.set_visible_devices(gpus[0], 'GPU')\n",
    "        logical_gpus = tf.config.experimental.list_logical_devices('GPU')\n",
    "        print(len(gpus), \"Physical GPUs,\", len(logical_gpus), \"Logical GPU\")\n",
    "    except RuntimeError as e:\n",
    "        # Visible devices must be set before GPUs have been initialized\n",
    "        print(e)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdc29e30-2823-461a-acd0-1a1349befeed",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Set Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "28322120-62a4-49ac-8109-ac8092932396",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/group/bagel/Task_1.B'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b80443a5-5a3b-4bce-8af1-33276c6389f2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "data_path = '/data/segmentation/train'\n",
    "figs_path = '/group/bagel/Task_1.B/figures'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9f97e86c-1d55-4346-9671-006f9072fb65",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "segment_classes = {\n",
    "    0: 'NOT tumor',\n",
    "    1: 'NECROTIC/CORE',  # or NON-ENHANCING tumor CORE\n",
    "    2: 'EDEMA',\n",
    "    4: 'ENHANCING'  # original 4 -> converted into 3 later\n",
    "}\n",
    "\n",
    "# after compression\n",
    "IMG_SIZE=128\n",
    "\n",
    "# Define selected slices range\n",
    "VOLUME_START_AT = 60 \n",
    "VOLUME_SLICES = 75 \n",
    "N_CHANNELS = 2 # Number of channels (==2: \"T1CE + FLAIR\") !! Change vals in __data_generation when modify this param!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "404c179a-7878-4c61-9e2e-272d3b7e0c5e",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Load a sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cba84745-96fd-4d53-8788-050d31295aae",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "patient = {'id' : '00021', 'data' : []}\n",
    "\n",
    "sample_path = os.path.join(data_path, patient['id'])\n",
    "\n",
    "sample = DataLoader(sample_path)\n",
    "patient['data'] = sample.explore_sample(patient['id'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eac89fa9-af04-4c57-9950-1d01d80d0e61",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Plot sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c52a2361-2ccd-4ba3-9219-78317e47b0ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "plot = Plotting(sample_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "788c9f3c-c392-4521-a6f2-db19b1631a8d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure saved at: /group/bagel/Task_1.B/figures/id00021_slice100.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from data_handling import *\n",
    "plot.plot_one_slice_all_mods(patient['data'], patient['id'], slice_nb=100, show_plot=True, save_path=figs_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8a68944b-573e-4802-a581-2b04383b6d0c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data slices figure saved at: /group/bagel/Task_1.B/figures/id00021_data_slices.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.plot_one_mod_all_slices(patient['data'][0], patient['id'], show_plot=True, save_path=figs_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "de934121-cd20-4a23-ac64-ca7adf55b92a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation slices figure saved at: /group/bagel/Task_1.B/figures/id00021_seg_slices.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.plot_seg_one_slice(patient['data'][4], patient['id'], show_plot=True, save_path=figs_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fe9bad2d-f782-408a-9b85-eaeb58e1b705",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3B/Sha/ppwxM7L9h26Jp+uk0TNbQD221sezSz+oIH+n2DP2z1lsPOhI3GBwolTTvo9WcBoD30BKDLgikA+Eowfid6BAD4Gj0B6LRg6wHwhaZn+Y1n7c0HCw5d009jMy/8YCFf337IbYMAfI2eAHRKTwwArWnrboGha/oF5E4CE35zAN2HngD0OPsGf3jB+/8bz/gbxw/4qm13oEcAgK/QEwAjedNV39g2mJ4uSI8AAF8gBABd4O1o/2AKEgBACAC6YOiafh4PFuoIggCAYMGYABjF2270YO92Pzs7lXEBADqNEACjdGYsQLBqDChDRRAA0DlcDgBCXLD3VgAIXvQEwGgduZ0QAHoqegIAADAUIQDoAc7OTuXdAgC8xuUAoAdgkCCAzqAnAPCBzrwi2F/oEQDQUfQEIKQ1HnwDfTvf0DX9dJsmeryFMBDoEQDgDUIA0Alt3ZYX6DACAN4gBKBHGluS7LcDcnef7SdNOyhJOrglqdv2CcAMjAlAj9D0mnwwXZ/vqqavLg6G1xgD6FnoCUCP0R0H/w1P7PT7PtrSZ2OhhurbQX88JRCAL9ATAIQQBvsB8CVCAHqsnnRZwFtHM6t5gBCACyIEoEczPQgAQHsIAfAaZ5eBxyBBAL7AwEB45ezsVM4wA6xxXMBQ8WcBoGvoCcAFceYPAD0TPQFoV+OZfyg/hratRws3HS/Ak/4AmIieALSrJ3U399QHCgFAZ9ETgA45mlktZSZJCu1Q0NbBv7teRET4ABBM6AkAAMBQhAAAAAxFCADaMLYkme57AD0aIQBowp8HfW+37YsHAvH4YADtYWAg0Iw/gkBnAoCvbsk8mlnNEwYBtIoQgFZ9d+YY2ncDBINguKRwNLNaSRsDXQWAYEMIQAs8GrhtY0uSO3wbYTAc/AGgPYwJAADAUISAHu7s7FQd3JLEwLBuxF0FAEIFIQAAAEN5HQJ27NihmTNnKiEhQTabTW+++abHesuytGTJEsXHx6tPnz5KT0/Xp59+6tHm1KlTysjIkMPhUHR0tBYsWKAzZ8506Yugfdwq1nmNZ/XN/xlq+PMH0JzXIaC6ulpjxozRypUrW13/9NNP64UXXtDq1atVWFiofv36aerUqTp37py7TUZGhg4dOqStW7dq8+bN2rFjhzIzMzv/LdAhDPbrvOYH/lDs8j+aWe0OgwAgdeLugOnTp2v69OmtrrMsS88//7x+9rOfadasWZKkV199VXFxcXrzzTc1d+5cHT58WFu2bNGePXs0btw4SdKLL76oGTNm6Nlnn1VCQkIXvg4aNf6Pvr0Df2ObUH1FsKk4iAPwFZ/eInjs2DG5XC6lp6e7l0VFRSk1NVUFBQWaO3euCgoKFB0d7Q4AkpSenq6wsDAVFhbq1ltvbbHdmpoa1dTUuOerqqp8WXaP1JGz/sY2Q5VKEOikQPUG0KsDwBd8OjDQ5XJJkuLi4jyWx8XFude5XC7FxsZ6rA8PD1dMTIy7TXO5ubmKiopyT4mJib4sG/ruejFnmWbgzxmAFCIPC1q8eLFycnLc81VVVQQBH+Ks0iz0AAFo5NOeAKfTKUkqKyvzWF5WVuZe53Q6VV5e7rH+/PnzOnXqlLtNc3a7XQ6Hw2MCAABd49MQMGTIEDmdTuXl5bmXVVVVqbCwUGlpaZKktLQ0VVRUqKioyN1m27ZtamhoUGoqXZQAAHQXry8HnDlzRkeOHHHPHzt2TPv371dMTIwGDRqkRYsW6d/+7d901VVXaciQIXr00UeVkJCgW265RZI0YsQITZs2TQsXLtTq1atVV1en7OxszZ07lzsDAADoRl6HgL179+p73/uee77xWv38+fO1du1aPfTQQ6qurlZmZqYqKio0ceJEbdmyRZGRke7PrFu3TtnZ2Zo8ebLCwsI0Z84cvfDCCz74OmjU+OrY5tf7j2ZWa6h4QyAAoBMhYNKkSbIsq831NptNy5cv1/Lly9tsExMTo/Xr13u7a3ihccDXULV8IyADAQEAEu8OQDcZuqafu3cCABAcQuIWQYS+9nomAACBQU8AEEJ4yA8AX6InAAgRZ2fTiwLAt+gJgN8xFsA3CAAAfI2eAPjV0DX9PB5N22djoZI2frees1tPzX8vfzqaWS1lJnXrPgEEF3oC4DccXAAguNETgIDqs7GwycOLvkXPAAB0D0IAAq55bwG3EQJA9yAEwG+aPqKYywIAEHwIAfCrxjP6poMBAQDBgYGBBuAWvdB2dnYqDwkC4Bf0BPRwPK439PHnBsBf6AlAt+BMtnP43QD4Ez0B6BaND6ZpxDMEPPF7AAgEegKAIEAAABAI9AQAARTIQZuN+yaAAOYiBAABEgyXAAK9fwCBxeUAeG3omn7cdthF/H4AggEhAF4JhrPXUNf4G/I7Agg0QoCBOJMPHH53AMGEMQGG8TiTb3LLHvyPXhQAwYaeAAAADEVPgCH6bCy84Et8Gs9Uz872/yOGGx8exNlx9+M3B9CIngDAMAQAAI3oCYBXjmZW+/RlRI3ba76sJ2g+CNCbg68/3hnAoEQAzREC4DVfH6R7ykG/KV90ufv6d6EHAEBzhAC00GdjofvsvCceoP2h6Vl2sP1m9AAAaAtjAtAqHmbjvWD8vXgwEYD20BMAdFHzM+1AnHlztg+gMwgBQBc0v/YfqDNuzvQBdAaXA9AuzjDbxv32AEIdIQDt6rOxUEnTDhIG9O1BP2naQfdEAADQlh07dmjmzJlKSEiQzWbTm2++2W777du3y2aztZhcLpdf6yQEGIwDe8/AnyMQfKqrqzVmzBitXLnSq88VFxertLTUPcXGxvqpwm8xJsBwQ9f069AtbU1vG2wUbLfC+VpXHvbTVa3dptnWwZ4eCSD4TJ8+XdOnT/f6c7GxsYqOjvZ9QW0gBBis8eDR0ScANj3Y+OOJdsEm0AfXxvc4NJ0H0LNde+21qqmpUVJSkpYtW6YJEyb4dX+EAHRKqD1QqPEsuvlZdbDX3loPDIDAqaqq8pi32+2y2+1d3m58fLxWr16tcePGqaamRr/61a80adIkFRYWauzYsV3eflsIAeg095lpZlJgC7mApm9HbORtL0gg0QMAtG/I2n4K7x3p132cr+ulckmJiYkey5cuXaply5Z1efvDhg3TsGHD3PPjx4/X0aNHtWLFCv3Xf/1Xl7ffFkIAJIX24LL2xjU0/V5tnVWH8ncH0L1OnDghh8PhnvdFL0Bbrr/+eu3cudNv25cIAVBon2k2nuW3dkbf2n38F5oHgPY4HA6PEOBP+/fvV3x8vF/3QQgAAMDHzpw5oyNHjrjnjx07pv379ysmJkaDBg3S4sWL9fnnn+vVV1+VJD3//PMaMmSIrrnmGp07d06/+tWvtG3bNv3xj3/0a52EAASdtp7Ed3Z28F+/BwBJ2rt3r773ve+553NyciRJ8+fP19q1a1VaWqrjx4+719fW1uqBBx7Q559/rr59+2r06NF67733PLbhD4QAhIw+GwuDfhAiAEjSpEmTZFlWm+vXrl3rMf/QQw/poYce8nNVLREC0Gnfjbbv2tm5Lx7KE2q3LAJAMCAEoFN81TXvy5fwhMotiwAQLAgBCBh/3ZrXuF1G/gNA+wgBCAh/voaXgz8AdAwhAJ0SDNfgecgPAHQNIQCdFshr8P7sSQAAU4QFugCEvu48I+fsHwB8h54AdFmfjYVK2vjdHQP+vt6ftNEvmwYA49ATAACAoQgBAAAYihAAAIChCAEAABiKEAAAgKEIAQAAGIoQAACAoQgBAAAYiocFwWd4kA8AhBZ6AgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADCU1yFgx44dmjlzphISEmSz2fTmm296rL/zzjtls9k8pmnTpnm0OXXqlDIyMuRwOBQdHa0FCxbozJkzXfoiAADAO16HgOrqao0ZM0YrV65ss820adNUWlrqnn772996rM/IyNChQ4e0detWbd68WTt27FBmZqb31QMAgE4L9/YD06dP1/Tp09ttY7fb5XQ6W113+PBhbdmyRXv27NG4ceMkSS+++KJmzJihZ599VgkJCd6WBAAAOsEvYwK2b9+u2NhYDRs2TPfee6+++uor97qCggJFR0e7A4AkpaenKywsTIWFha1ur6amRlVVVR4TAADoGp+HgGnTpunVV19VXl6ennrqKeXn52v69Omqr6+XJLlcLsXGxnp8Jjw8XDExMXK5XK1uMzc3V1FRUe4pMTHR12UDAGAcry8HXMjcuXPd/z5q1CiNHj1aQ4cO1fbt2zV58uRObXPx4sXKyclxz1dVVREEAADoIr/fInjFFVdo4MCBOnLkiCTJ6XSqvLzco8358+d16tSpNscR2O12ORwOjwkAAHSN30PAZ599pq+++krx8fGSpLS0NFVUVKioqMjdZtu2bWpoaFBqaqq/ywEAAP+f15cDzpw54z6rl6Rjx45p//79iomJUUxMjB577DHNmTNHTqdTR48e1UMPPaQrr7xSU6dOlSSNGDFC06ZN08KFC7V69WrV1dUpOztbc+fO5c4AAAC6kdc9AXv37lVycrKSk5MlSTk5OUpOTtaSJUvUq1cvffTRR7r55pt19dVXa8GCBUpJSdGf/vQn2e129zbWrVun4cOHa/LkyZoxY4YmTpyoNWvW+O5bAQCAC/K6J2DSpEmyLKvN9e++++4FtxETE6P169d7u2sAAOBDvDsAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAAPCDlStX6vLLL1dkZKRSU1O1e/fuNtuuXbtWNpvNY4qMjPR7jYQAAAB87I033lBOTo6WLl2qffv2acyYMZo6darKy8vb/IzD4VBpaal7Kikp8XudhAAAAHzsueee08KFC3XXXXdp5MiRWr16tfr27auXX365zc/YbDY5nU73FBcX5/c6CQEAAPhQbW2tioqKlJ6e7l4WFham9PR0FRQUtPm5M2fOaPDgwUpMTNSsWbN06NAhv9dKCAAAoIOqqqo8ppqamhZtvvzyS9XX17c4k4+Li5PL5Wp1u8OGDdPLL7+st956S6+99poaGho0fvx4ffbZZ375Ho3C/bp1AAD8rM/bexWu3n7dx3nVSZISExM9li9dulTLli3r8vbT0tKUlpbmnh8/frxGjBihl156SY8//niXt98WQgAAAB104sQJORwO97zdbm/RZuDAgerVq5fKyso8lpeVlcnpdHZoP71791ZycrKOHDnStYIvgMsBAAB0kMPh8JhaCwERERFKSUlRXl6ee1lDQ4Py8vI8zvbbU19frwMHDig+Pt5ntbeGngAAAHwsJydH8+fP17hx43T99dfr+eefV3V1te666y5J0rx583TppZcqNzdXkrR8+XLdcMMNuvLKK1VRUaFnnnlGJSUluvvuu/1aJyEAAAAf++EPf6gvvvhCS5Yskcvl0rXXXqstW7a4BwseP35cYWHfdcZ//fXXWrhwoVwuly666CKlpKTogw8+0MiRI/1ap82yLMuve/CDqqoqRUVFaZJm+X0wCACY7LzqtF1vqbKy0uNaeDDozmNBMP8OXcGYAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAzlVQjIzc3VddddpwEDBig2Nla33HKLiouLPdqcO3dOWVlZuvjii9W/f3/NmTNHZWVlHm2OHz+um266SX379lVsbKwefPBBnT9/vuvfBgAAdJhXISA/P19ZWVnatWuXtm7dqrq6Ok2ZMkXV1dXuNvfff7/efvttbdiwQfn5+Tp58qRmz57tXl9fX6+bbrpJtbW1+uCDD/Sb3/xGa9eu1ZIlS3z3rQAAwAXZLMuyOvvhL774QrGxscrPz9eNN96oyspKXXLJJVq/fr3+/u//XpL0ySefaMSIESooKNANN9ygd955Rz/4wQ908uRJxcXFSZJWr16thx9+WF988YUiIiIuuN+qqipFRUVpkmYpXL07Wz4A4ALOq07b9ZYqKyvlcDgCXY6H7jwWBPPv0BVdGhNQWVkpSYqJiZEkFRUVqa6uTunp6e42w4cP16BBg1RQUCBJKigo0KhRo9wBQJKmTp2qqqoqHTp0qCvlAAAAL4R39oMNDQ1atGiRJkyYoKSkJEmSy+VSRESEoqOjPdrGxcXJ5XK52zQNAI3rG9e1pqamRjU1Ne75qqqqzpYNAAD+v073BGRlZengwYN6/fXXfVlPq3JzcxUVFeWeEhMT/b5PAAB6uk6FgOzsbG3evFnvv/++LrvsMvdyp9Op2tpaVVRUeLQvKyuT0+l0t2l+t0DjfGOb5hYvXqzKykr3dOLEic6UDQAAmvAqBFiWpezsbG3atEnbtm3TkCFDPNanpKSod+/eysvLcy8rLi7W8ePHlZaWJklKS0vTgQMHVF5e7m6zdetWORwOjRw5stX92u12ORwOjwkAAHSNV2MCsrKytH79er311lsaMGCA+xp+VFSU+vTpo6ioKC1YsEA5OTmKiYmRw+HQj3/8Y6WlpemGG26QJE2ZMkUjR47UHXfcoaeffloul0s/+9nPlJWVJbvd7vtvCAAAWuVVCFi1apUkadKkSR7LX3nlFd15552SpBUrVigsLExz5sxRTU2Npk6dql/+8pfutr169dLmzZt17733Ki0tTf369dP8+fO1fPnyrn0TAADglS49JyBQeE4AAHSPYL4/nucEdB3vDgAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAwFCEAAAADEUIAADAUIQAAAAMRQgAAMBQhAAAAAxFCAAAIIBOnTqljIwMORwORUdHa8GCBTpz5ky7n5k0aZJsNpvHdM8993i97/DOFg0AALouIyNDpaWl2rp1q+rq6nTXXXcpMzNT69evb/dzCxcu1PLly93zffv29XrfhAAAAALk8OHD2rJli/bs2aNx48ZJkl588UXNmDFDzz77rBISEtr8bN++feV0Oru0/5AMAZZlSZLOqy7AlQBAz9b4/9nG/+8Go+44FjTuo6qqymO53W6X3W7v9HYLCgoUHR3tDgCSlJ6errCwMBUWFurWW29t87Pr1q3Ta6+9JqfTqZkzZ+rRRx/1ujcgJEPA6dOnJUk79T8BrgQAzHD69GlFRUUFugwPERERcjqd2unqnmNB//79lZiY6LFs6dKlWrZsWae36XK5FBsb67EsPDxcMTExcrlcbX7uH//xHzV48GAlJCToo48+0sMPP6zi4mJt3LjRq/2HZAhISEjQxx9/rJEjR+rEiRNyOByBLqlDqqqqlJiYSM1+Rs3dg5q7R6BrtixLp0+fbrdbOlAiIyN17Ngx1dbWdsv+LMuSzWbzWNZWL8Ajjzyip556qt3tHT58uNO1ZGZmuv991KhRio+P1+TJk3X06FENHTq0w9sJyRAQFhamSy+9VJLkcDhC5i9zI2ruHtTcPai5ewSy5mDrAWgqMjJSkZGRgS6jhQceeEB33nlnu22uuOIKOZ1OlZeXeyw/f/68Tp065dX1/tTUVEnSkSNHen4IAAAgmF1yySW65JJLLtguLS1NFRUVKioqUkpKiiRp27ZtamhocB/YO2L//v2SpPj4eK/q5DkBAAAEyIgRIzRt2jQtXLhQu3fv1v/+7/8qOztbc+fOdV+C+fzzzzV8+HDt3r1bknT06FE9/vjjKioq0l//+lf9/ve/17x583TjjTdq9OjRXu0/ZEOA3W7X0qVLuzQqs7tRc/eg5u5Bzd0jFGuGd9atW6fhw4dr8uTJmjFjhiZOnKg1a9a419fV1am4uFjffPONpG8HRL733nuaMmWKhg8frgceeEBz5szR22+/7fW+bVYw3/cBAAD8JmR7AgAAQNcQAgAAMBQhAAAAQxECAAAwVMiGgJUrV+ryyy9XZGSkUlNT3bdOBFpubq6uu+46DRgwQLGxsbrllltUXFzs0ebcuXPKysrSxRdfrP79+2vOnDkqKysLUMUtPfnkk7LZbFq0aJF7WTDW/Pnnn+tHP/qRLr74YvXp00ejRo3S3r173esty9KSJUsUHx+vPn36KD09XZ9++mnA6q2vr9ejjz6qIUOGqE+fPho6dKgef/xxj2eyB7rmHTt2aObMmUpISJDNZtObb77psb4j9XXmtaj+qrmurk4PP/ywRo0apX79+ikhIUHz5s3TyZMng7bm5u655x7ZbDY9//zzAa0ZPVNIhoA33nhDOTk5Wrp0qfbt26cxY8Zo6tSpLZ66FAj5+fnKysrSrl273K+FnDJliqqrq91t7r//fr399tvasGGD8vPzdfLkSc2ePTuAVX9nz549eumll1rcaxpsNX/99deaMGGCevfurXfeeUcff/yx/v3f/10XXXSRu83TTz+tF154QatXr1ZhYaH69eunqVOn6ty5cwGp+amnntKqVav0H//xHzp8+LCeeuopPf3003rxxReDpubq6mqNGTNGK1eubHV9R+rLyMjQoUOHtHXrVm3evFk7duzweMRpd9b8zTffaN++fXr00Ue1b98+bdy4UcXFxbr55ps92gVTzU1t2rRJu3btavWRvd1dM3ooKwRdf/31VlZWlnu+vr7eSkhIsHJzcwNYVevKy8stSVZ+fr5lWZZVUVFh9e7d29qwYYO7zeHDhy1JVkFBQaDKtCzLsk6fPm1dddVV1tatW62//du/te677z7LsoKz5ocfftiaOHFim+sbGhosp9NpPfPMM+5lFRUVlt1ut3772992R4kt3HTTTdY//dM/eSybPXu2lZGRYVlW8NUsydq0aZN7viP1ffzxx5Yka8+ePe4277zzjmWz2azPP/+822tuze7duy1JVklJiWVZwVvzZ599Zl166aXWwYMHrcGDB1srVqxwrwt0zeg5Qq4noLa2VkVFRUpPT3cvCwsLU3p6ugoKCgJYWesqKyslSTExMZKkoqIi1dXVedQ/fPhwDRo0KOD1Z2Vl6aabbvKoTQrOmn//+99r3Lhxuu222xQbG6vk5GT953/+p3v9sWPH5HK5PGqOiopSampqwGoeP3688vLy9Oc//1mS9H//93/auXOnpk+fHrQ1N9WR+i70WtRgUFlZKZvNpujoaEnBWXNDQ4PuuOMOPfjgg7rmmmtarA/GmhGaQu7dAV9++aXq6+sVFxfnsTwuLk6ffPJJgKpqXUNDgxYtWqQJEyYoKSlJ0revjYyIiHD/D6hRXFxcu6+N9LfXX39d+/bt0549e1qsC8aa//KXv2jVqlXKycnRv/7rv2rPnj36yU9+ooiICM2fP99dV2v/nQSq5kceeURVVVUaPny4evXqpfr6ej3xxBPKyMiQpKCsuamO1NfZ16J2l3Pnzunhhx/W7bff7n4ZTzDW/NRTTyk8PFw/+clPWl0fjDUjNIVcCAglWVlZOnjwoHbu3BnoUtp14sQJ3Xfffdq6dWtQvo2rNQ0NDRo3bpx+/vOfS5KSk5N18OBBrV69WvPnzw9wda373e9+p3Xr1mn9+vW65pprtH//fi1atEgJCQlBW3NPUldXp3/4h3+QZVlatWpVoMtpU1FRkX7xi19o3759LV5bC/hayF0OGDhwoHr16tViZHpZWZlXr130t+zsbG3evFnvv/++LrvsMvdyp9Op2tpaVVRUeLQPZP1FRUUqLy/X2LFjFR4ervDwcOXn5+uFF15QeHi44uLigq7m+Ph4jRw50mPZiBEjdPz4cUly1xVM/508+OCDeuSRRzR37lyNGjVKd9xxh+6//37l5uZKCs6am+pIfb56LaqvNQaAkpISbd261eOVvMFW85/+9CeVl5dr0KBB7r+PJSUleuCBB3T55ZcHZc0IXSEXAiIiIpSSkqK8vDz3soaGBuXl5SktLS2AlX3LsixlZ2dr06ZN2rZtm4YMGeKxPiUlRb179/aov7i4WMePHw9Y/ZMnT9aBAwe0f/9+9zRu3DhlZGS4/z3Yap4wYUKLWy///Oc/a/DgwZKkIUOGyOl0etRcVVWlwsLCgNX8zTffKCzM869cr1691NDQICk4a26qI/U1fS1qo868FtWXGgPAp59+qvfee08XX3yxx/pgq/mOO+7QRx995PH3MSEhQQ8++KDefffdoKwZISzQIxM74/XXX7fsdru1du1a6+OPP7YyMzOt6Ohoy+VyBbo0695777WioqKs7du3W6Wlpe7pm2++cbe55557rEGDBlnbtm2z9u7da6WlpVlpaWkBrLqlpncHWFbw1bx7924rPDzceuKJJ6xPP/3UWrdundW3b1/rtddec7d58sknrejoaOutt96yPvroI2vWrFnWkCFDrLNnzwak5vnz51uXXnqptXnzZuvYsWPWxo0brYEDB1oPPfRQ0NR8+vRp68MPP7Q+/PBDS5L13HPPWR9++KF7JH1H6ps2bZqVnJxsFRYWWjt37rSuuuoq6/bbbw9IzbW1tdbNN99sXXbZZdb+/fs9/k7W1NQEZc2taX53QCBqRs8UkiHAsizrxRdftAYNGmRFRERY119/vbVr165Al2RZ1re3+7Q2vfLKK+42Z8+etf75n//Zuuiii6y+fftat956q1VaWhq4olvRPAQEY81vv/22lZSUZNntdmv48OHWmjVrPNY3NDRYjz76qBUXF2fZ7XZr8uTJVnFxcYCqtayqqirrvvvuswYNGmRFRkZaV1xxhfXTn/7U42AU6Jrff//9Vv/7nT9/fofr++qrr6zbb7/d6t+/v+VwOKy77rrLOn36dEBqPnbsWJt/J99///2grLk1rYWA7q4ZPROvEgYAwFAhNyYAAAD4BiEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQxECAAAwFCEAAABDEQIAADAUIQAAAEMRAgAAMBQhAAAAQ/0/+1a0wTcFPFgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmentation plot saved at: /group/bagel/Task_1.B/figures/id00021_seg_plot.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.plot_segmentation(patient['data'][4][100, :, :], patient['id'], show_plot=True, save_path=figs_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8864fdc1-e19b-4415-ae03-83b1a858a662",
   "metadata": {},
   "source": [
    "# Load and generate the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9cebf9c0-0eb7-48a1-971c-674008184786",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "data = DataLoader(data_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d6e1404f-4bfc-4434-a924-ad6891408a92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of segmentation samples: 1000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading & analyzing unique segmentations: 100%|██████████| 1000/1000 [07:26<00:00,  2.24sample/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximum number of values in all segmentation images: 4\n",
      "Values: [0. 1. 2. 4.]\n",
      "Distribution of the 4 classes in sample 0:\n",
      "- Class 0.0: NOT tumor, Pixels: 8870695\n",
      "- Class 1.0: NECROTIC/CORE, Pixels: 11738\n",
      "- Class 2.0: EDEMA, Pixels: 12836\n",
      "- Class 4.0: ENHANCING, Pixels: 32731\n"
     ]
    }
   ],
   "source": [
    "# Do not reexecute-- This fucntion might take a lot of time to run. \n",
    "# TODO: Plot a histogram\n",
    "# data.explore_seg(segment_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6bc6f47c-10d7-4433-8824-8f03409106a7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Segmented classes plot saved at: /group/bagel/Task_1.B/figures/id00021classes_seg.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.plot_seg(patient['data'][4][100, :, :], patient['id'], save_path=figs_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9e548413-f91a-4068-a986-f5e6897a0d91",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of all samples: 1000\n",
      "==================================\n",
      "Trainset size (96%): 680 samples\n",
      "Validation size (20%): 200 samples\n",
      "Testset size (15%): 120 samples\n",
      "==================================\n"
     ]
    }
   ],
   "source": [
    "samples_train, samples_val, samples_test = data.split_datset(val_size=0.2, test_size=0.15)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ffed3a1-10fe-4c69-bd08-860ec857f164",
   "metadata": {},
   "source": [
    "# Build the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b4efd930-df04-4eaa-bffd-4e102e68e036",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "training_generator = DataGenerator(data_path, samples_train, (IMG_SIZE, IMG_SIZE),\n",
    "                                   VOLUME_START_AT, VOLUME_SLICES, N_CHANNELS, batch_size = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "21efbbd4-08ee-4c5b-92c8-24e12b2cf87e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "valid_generator = DataGenerator(data_path, samples_val, (IMG_SIZE, IMG_SIZE), \n",
    "                                VOLUME_START_AT, VOLUME_SLICES, N_CHANNELS, batch_size = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "74a28206-7466-442b-bdf2-60932eb01c0c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "test_generator = DataGenerator(data_path, samples_test, (IMG_SIZE, IMG_SIZE), \n",
    "                                VOLUME_START_AT, VOLUME_SLICES, N_CHANNELS, batch_size = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "8c24bc06-d6fa-4b10-9fc7-aaea12b7d3dd",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "## Define input data shape\n",
    "input_layer = Input((IMG_SIZE, IMG_SIZE, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ebf05a8e-95c0-4645-9a7a-ae29e0ee4387",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Build and compile the model\n",
    "model = build_unet(input_layer, 'he_normal', 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a4c91dd7-5934-4836-bbdd-0e7771bdc6b6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "model.compile(loss=\"categorical_crossentropy\", \n",
    "                  optimizer=tf.keras.optimizers.Adam(learning_rate=0.001), \n",
    "                  metrics = ['accuracy',\n",
    "                             tf.keras.metrics.MeanIoU(num_classes=4), \n",
    "                             dice_coef, \n",
    "                             precision, \n",
    "                             sensitivity, \n",
    "                             specificity])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "706d5641-e17b-41e3-8ac7-17c0cf196292",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "callbacks = [keras.callbacks.ReduceLROnPlateau(monitor='val_loss', factor=0.2,\n",
    "                                               patience=2, min_lr=0.000001, verbose=1),\n",
    "\n",
    "             keras.callbacks.ModelCheckpoint(filepath = 'model_.{epoch:02d}-{val_loss:.6f}.m5',\n",
    "                                             verbose=1, save_best_only=True, save_weights_only = True),\n",
    "\n",
    "             CSVLogger('training.log', separator=',', append=False)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67135594-3ec4-4c69-a3ce-322ebe5eb035",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Start training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "410cb31c-2064-4709-8b94-34a0f5e05120",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'model' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m history \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[38;5;241m.\u001b[39mfit(training_generator,\n\u001b[1;32m      2\u001b[0m                     epochs\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m30\u001b[39m,\n\u001b[1;32m      3\u001b[0m                     steps_per_epoch\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mlen\u001b[39m(samples_train),\n\u001b[1;32m      4\u001b[0m                     callbacks\u001b[38;5;241m=\u001b[39mcallbacks,\n\u001b[1;32m      5\u001b[0m                     validation_data\u001b[38;5;241m=\u001b[39mvalid_generator)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'model' is not defined"
     ]
    }
   ],
   "source": [
    "# K.clear_session()\n",
    "\n",
    "# model.fit(training_generator,\n",
    "#           epochs=30,\n",
    "#           steps_per_epoch=len(samples_train),\n",
    "#           callbacks=callbacks,\n",
    "#           validation_data=valid_generator)\n",
    "\n",
    "# model.save(\"model_x1_1.h5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16d069ef-6ea9-4fe1-a50c-88fa533f4305",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Or load a trained model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "96350108-42e6-46dd-a069-4f6d1425b062",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compile a model and load our saved weights\n",
    "IMG_SIZE = 128\n",
    "input_layer = Input((IMG_SIZE, IMG_SIZE, 2))\n",
    "\n",
    "best_saved_model = build_unet(input_layer, 'he_normal', 0.2)\n",
    "\n",
    "best_saved_model.compile(loss=\"categorical_crossentropy\",\n",
    "                         optimizer=tensorflow.keras.optimizers.Adam(learning_rate=0.001),\n",
    "                         metrics = ['accuracy',tensorflow.keras.metrics.MeanIoU(num_classes=4),\n",
    "                                    dice_coef, precision, sensitivity, specificity])\n",
    "\n",
    "# best_saved_model.load_weights('model_.26-0.025329.m5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d1d65ffd-90c3-4165-9222-bf730f7f3e02",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ############ load trained model ################\n",
    "# model = keras.models.load_model('../input/modelperclasseval/model_per_class.h5',\n",
    "#                                 custom_objects={\"accuracy\" : tf.keras.metrics.MeanIoU(num_classes=4),\n",
    "#                                                 \"dice_coef\": dice_coef,\n",
    "#                                                 \"precision\": precision,\n",
    "#                                                 \"sensitivity\":sensitivity,\n",
    "#                                                 \"specificity\":specificity,\n",
    "#                                                 \"dice_coef_necrotic\": dice_coef_necrotic,\n",
    "#                                                 \"dice_coef_edema\": dice_coef_edema,\n",
    "#                                                 \"dice_coef_enhancing\": dice_coef_enhancing\n",
    "#                                                 }, compile=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d767732e-6055-4151-88f1-66e151d85562",
   "metadata": {},
   "source": [
    "# Anlyzing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "430ddfaf-88eb-4bca-8af9-62cb574a0b54",
   "metadata": {},
   "outputs": [],
   "source": [
    "plot_acc_loss_iou(show_plot=True, save_path=figs_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54e37b4d-f3cc-4c10-8ec6-6747f341631f",
   "metadata": {},
   "outputs": [],
   "source": [
    "plot_dice(show_plot=True, save_path=figs_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c657e4e-4367-4e36-af5c-1344f145a786",
   "metadata": {},
   "source": [
    "# Prediction examples (on testset)\n",
    "Plot Random predictions & Compare with Original (Ground truth) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "034eabae-9420-4502-93e9-73f0819839f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_predicted_segmentations(samples_test, 60, cmap, norm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d0a59a7-4cd6-4d88-8b84-643c2bb2c84a",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_predicted_segmentations(samples_test, 50, cmap, norm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a1ef08fc-8e38-4fb2-b4a7-1a9f59193fe3",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_predicted_segmentations(samples_test, 70, cmap, norm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e18119fa-ee5b-4987-8c86-1d26509145a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_predicted_segmentations(samples_test, 70, cmap, norm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e639524-ef81-4530-9d44-ffe900d028a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_predicted_segmentations(samples_test, 70, cmap, norm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dcd1c0a2-d701-45d3-80dc-8a9c642f7d92",
   "metadata": {},
   "outputs": [],
   "source": [
    "showPredictsById(case=test_ids[0][-3:])\n",
    "showPredictsById(case=test_ids[1][-3:])\n",
    "showPredictsById(case=test_ids[2][-3:])\n",
    "showPredictsById(case=test_ids[3][-3:])\n",
    "showPredictsById(case=test_ids[4][-3:])\n",
    "showPredictsById(case=test_ids[5][-3:])\n",
    "showPredictsById(case=test_ids[6][-3:])\n",
    "\n",
    "\n",
    "# mask = np.zeros((10,10))\n",
    "# mask[3:-3, 3:-3] = 1 # white square in black background\n",
    "# im = mask + np.random.randn(10,10) * 0.01 # random image\n",
    "# masked = np.ma.masked_where(mask == 0, mask)\n",
    "\n",
    "# plt.figure()\n",
    "# plt.subplot(1,2,1)\n",
    "# plt.imshow(im, 'gray', interpolation='none')\n",
    "# plt.subplot(1,2,2)\n",
    "# plt.imshow(im, 'gray', interpolation='none')\n",
    "# plt.imshow(masked, 'jet', interpolation='none', alpha=0.7)\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1dbb1ed5-6308-4f22-bcf0-bae492ee8b46",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_post_processed_segmentations(sample = \"BraTS20_Training_266\", slice_to_plot=60, cmap=cmap, norm=norm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7205ba0a-fe1c-42e0-9ad6-3586164638bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_post_processed_segmentations(sample = \"BraTS20_Training_051\", slice_to_plot=50, cmap=cmap, norm=norm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4e0b1b4-5c5f-48c6-bdb1-6327bcfa0cf8",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_post_processed_segmentations(sample = \"BraTS20_Training_266\", slice_to_plot=70, cmap=cmap, norm=norm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a26a328-1afd-415d-80b6-dab04b13ab09",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_post_processed_segmentations(sample = \"BraTS20_Training_051\", slice_to_plot=70, cmap=cmap, norm=norm)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "481aa5b7-12a3-4079-9288-91b779851ffa",
   "metadata": {},
   "outputs": [],
   "source": [
    "show_post_processed_segmentations(sample = \"BraTS20_Training_274\", slice_to_plot=70, cmap=cmap, norm=norm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f68bf5a6-4a46-4081-b782-be0687f2f2b2",
   "metadata": {},
   "source": [
    "# Evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bdab3331-76af-4768-b889-42b30913e201",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Evaluate the model on the test data\n",
    "\n",
    "results = model.evaluate(test_generator, batch_size=100, callbacks= callbacks)\n",
    "\n",
    "descriptions = [\"Loss\", \"Accuracy\", \"MeanIOU\", \"Dice coefficient\", \"Precision\", \"Sensitivity\", \"Specificity\"]\n",
    "\n",
    "# Combine results list and descriptions list\n",
    "results_list = zip(results, descriptions)\n",
    "\n",
    "# Display each metric with its description\n",
    "print(\"\\nModel evaluation on the test set:\")\n",
    "print(\"==================================\")\n",
    "for i, (metric, description) in enumerate(results_list):\n",
    "    print(f\"{description} : {round(metric, 4)}\")"
   ]
  }
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