{"cells":[{"metadata":{},"cell_type":"markdown","source":"# 💥 Includes\n\nThis kernel builds TFRecord dataset to be used for Cassava Leaf Disease Classification Challenege. This dataset can be used for cross validation training pipeline for image classification. \n\nI have used Weights and Biases to show Dataset version control with [Weights and Biases](https://wandb.ai/site).\n\n* Uses Datset from Cassava Leaf Disease Classification Challenge 2019.\n* Stratified K-Fold train and validation split. (Here K=5)\n* Uses Weights and Biases for dataset version control.\n* TFRecords for each fold.\n\n### 🐤 Quick introduction on Weights and Biases Artifacts\n\nYou can use W&B Artifacts to store and keep track of datasets, models, and evaluation results across machine learning pipelines. Think of an artifact as a versioned folder of data. You can store entire datasets directly in artifacts, or use artifact references to point to data in other systems.\n\nIn this notebook, we will create a [Stratified K-Fold](https://machinelearningmastery.com/cross-validation-for-imbalanced-classification/) train and validation split to train image classifiers. Since we are modifying and creating new `csv` files(containing `image_id` and `label`) it's important to incorporate dataset version control in the dataset creating pipeline. This is particularly useful for competitions like these where .5% improvement in score can win you a gold medal. \n\nLearn more about W&B artifacts [here](https://docs.wandb.ai/artifacts). Check out this [YouTube tutorial](https://www.youtube.com/watch?v=Hd94gatGMic&list=PLD80i8An1OEGajeVo15ohAQYF1Ttle0lk&index=3) as well.\n\n### 👀 Note\n\nThis kernel is producing TFRecords with each `.tfrec` file containing similar data distribution. Hence it can be used for Stratified K-Fold training. \n\nIf you want to use the dataset, use this code snippet:\n\n```\nimport wandb\nrun = wandb.init()\nartifact = run.use_artifact('ayush-thakur/cassava/cassava_tfrecord:v0', type='dataset')\nartifact_dir = artifact.download()\n```\n\nThe [training notebook](https://www.kaggle.com/ayuraj/efficientnet-mixup-k-fold-using-tf-and-wandb) will showcase the use W&B artifacts to download the dataset and train the model. "},{"metadata":{},"cell_type":"markdown","source":"# ❄️ Imports and Setups"},{"metadata":{"trusted":true},"cell_type":"code","source":"!pip install wandb -q","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import tensorflow as tf\nprint(tf.__version__)\n\nimport os\nimport cv2\nimport json\nimport numpy as np\nimport pandas as pd\n\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n\n%matplotlib inline\n\nfrom sklearn.model_selection import train_test_split, StratifiedKFold\nfrom functools import partial","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import wandb\nfrom kaggle_secrets import UserSecretsClient\n\nuser_secrets = UserSecretsClient()\nwandb_api = user_secrets.get_secret(\"wandb_api\")\n\nwandb.login(key=wandb_api)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# ⛄ Prepare Dataset"},{"metadata":{},"cell_type":"markdown","source":"## I. Cassava 2020 Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"train_csv_2020 = '../input/cassava-leaf-disease-classification/train.csv'\ntrain_img_paths_2020 = '../input/cassava-leaf-disease-classification/train_images/'\n\ntrain_2020_df = pd.read_csv(train_csv_2020)\ntrain_2020_df.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# change image_id to path_to_image_id for ease. \ntrain_2020_df['image_id'] = train_img_paths_2020 + train_2020_df['image_id'].astype(str)\ntrain_2020_df.to_csv('raw_2020_train.csv', index=False)\n\ntrain_2020_df.head()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Save as W&B Artifact for dataset versioning"},{"metadata":{"trusted":true},"cell_type":"code","source":"run = wandb.init(entity='ayush-thakur', project='cassava', job_type='dataset_creation')\nartifact = wandb.Artifact('raw_2020', type='dataset')\nartifact.add_file('raw_2020_train.csv')\nrun.log_artifact(artifact)\nrun.join()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Function to plot the distribution of the dataset.\ndef show_label_distribution(label_count):\n    fig, ax = plt.subplots(1, 1, figsize=(18, 8))\n    ax = sns.countplot(y=label_count, palette='viridis')\n    ax.tick_params(labelsize=16)\n    \nshow_label_distribution(train_2020_df['label'].values)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_image_names_2020 = os.listdir(train_img_paths_2020)\nprint('Sample Image Name: ', train_image_names_2020[0])\nprint('Total number of train images in 2020 challenege: ', len(train_image_names_2020))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## II. Cassava 2019 Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"train_images_2019 = '../input/cassavachallenge/old_competition/train/'\n\ntrain_label_dirs_2019 = os.listdir(train_images_2019)\nprint(train_label_dirs_2019)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"label_map = '../input/cassava-leaf-disease-classification/label_num_to_disease_map.json'\n\nwith open(label_map) as json_file: \n    data = json.load(json_file) \nprint(f'Label Map: {data}')\n    \nlabel_dict = {}\nfor key, val in data.items():\n    if 'CBB' in val:\n        label_dict['cbb'] = int(key)\n    elif 'CBSD' in val:\n        label_dict['cbsd'] = int(key)\n    elif 'CGM' in val:\n        label_dict['cgm'] = int(key)\n    elif 'CMD' in val:\n        label_dict['cmd'] = int(key)\n    else:\n        label_dict['healthy'] = int(key)\n        \nprint(f'\\nRestructured label map to: {label_dict}')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_image_names_2019 = []\ntrain_2019_labels = []\n\nfor dir_name in train_label_dirs_2019:\n    # get image names within the dir_name\n    image_names = os.listdir(train_images_2019+dir_name)\n    image_names = [train_images_2019+dir_name+'/'+img_name for img_name in image_names]\n    train_image_names_2019.extend(image_names)\n    \n    # get label \n    label_name = image_names[0].split('-')[1]\n    labels = np.full((len(image_names),), label_dict[label_name])\n    train_2019_labels.extend(labels)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(f'Total number of train image names: {len(train_image_names_2019)} and labels: {len(train_2019_labels)}')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# create dataframe\ntrain_2019_df = pd.DataFrame(list(zip(train_image_names_2019, train_2019_labels)),\n                            columns=['image_id', 'label'])\ntrain_2020_df.to_csv('raw_2019_train.csv', index=False)\n\ntrain_2019_df.head()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Save as W&B Artifact for dataset versioning"},{"metadata":{"trusted":true},"cell_type":"code","source":"run = wandb.init(entity='ayush-thakur', project='cassava', job_type='dataset_creation')\nartifact = wandb.Artifact('raw_2019', type='dataset')\nartifact.add_file('raw_2019_train.csv')\nrun.log_artifact(artifact)\nrun.join()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"show_label_distribution(train_2019_df['label'].values)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## III. Cassava 2019+2020"},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df = pd.concat([train_2020_df, train_2019_df]).sample(frac=1).reset_index(drop=True)\ntrain_df.to_csv('cassava_2019_2020.csv', index=False)\n\ntrain_df.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"run = wandb.init(entity='ayush-thakur', project='cassava', job_type='dataset_merge')\n\nartifact_2019 = run.use_artifact('ayush-thakur/cassava/raw_2019:v0', type='dataset')\nartifact_2020 = run.use_artifact('ayush-thakur/cassava/raw_2020:v0', type='dataset')\n\nartifact_merge = wandb.Artifact('cassava_2019_2020', type='dataset')\n\nartifact_merge.add_file('cassava_2019_2020.csv')\nrun.log_artifact(artifact_merge)\nrun.join()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"show_label_distribution(train_df['label'].values)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# ⚡ Stratified K-Fold Split\n\nStratified K-Fold ensures that every split will have similar data distribution which is crucial from an imbalanced dataset point of view.\n\nNote: We are going to use K=16. Each split will be converted to `TFRecord`. If we use cross validation training, train and validation split will have same data distribution which is crucial for accurate evaluation of model performance. "},{"metadata":{"trusted":true},"cell_type":"code","source":"skf = StratifiedKFold(n_splits=16, shuffle=True)\n\ndf_images = train_df['image_id']\ndf_labels = train_df['label']","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"os.makedirs('folds', exist_ok=True)\n\nfor fold, (train_index, val_index) in enumerate(skf.split(df_images,df_labels)):\n    print(f'Fold Number: {fold} has {len(val_index)} samples')\n    \n    df_images_tmp, df_labels_tmp = df_images[val_index], df_labels[val_index]\n    df_tmp = pd.concat([df_images_tmp, df_labels_tmp], axis=1)\n    \n    df_tmp.to_csv(f'folds/fold_{fold}.csv', index=False)\n    \n    fig, ax = plt.subplots(1, 1, figsize=(18, 8))\n    fig.suptitle(f'File {fold+1}', fontsize=22)\n    ax = sns.countplot(y=df_tmp['label'].values, palette='viridis')\n    ax.tick_params(labelsize=16)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Save as W&B Artifact for dataset versioning"},{"metadata":{"trusted":true},"cell_type":"code","source":"run = wandb.init(entity='ayush-thakur', project='cassava', job_type='dataset_split')\n\nartifact_merge = run.use_artifact('ayush-thakur/cassava/cassava_2019_2020:v0', type='dataset')\n\nartifact_fold = wandb.Artifact('cassava_folds', type='dataset')\nartifact_fold.add_dir('folds')\nrun.log_artifact(artifact_fold)\n\nrun.join()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"You can visit the W&B project page and click on the Artifact's icon. It's situated at the left hand panel. \n\nHere's a preview of the graph view of the dataset versioning. \n\n* The square box is the job type(dataset creation, train, evaluate, etc).\n* The round circle is the stored artifact. It can be dataset, model files, results, etc. \n\n## The Story So Far..\n\n* We created two artifacts - `raw_2019` and `raw_2020` using two different jobs called `dataset_creation`.\n* We merged both the dataset during job - `dataset_merge`. The resulting artifact is `cassava_2019_2020`.\n* We then did Stratified K-Fold split(K=16) during job - `dataset_split`. The resulting artifact is `cassava_folds`.\n\nAt this point each artifact is storing `csv` files. And they can be downloaded to ensure reproducibility using the code snippet which you can find in the **API** tab as shown in the image below. \n\n\n![image.png](attachment:image.png)\n\n\nNow we will use these folds and convert them to TFRecord files of different sizes. We will again rely on artifacts for version control and 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"}}},{"metadata":{},"cell_type":"markdown","source":"# 🌊 Write TFRecords"},{"metadata":{},"cell_type":"markdown","source":"## Utils"},{"metadata":{"trusted":true},"cell_type":"code","source":"def _bytes_feature(value):\n  \"\"\"Returns a bytes_list from a string / byte.\"\"\"\n  if isinstance(value, type(tf.constant(0))):\n    value = value.numpy() # BytesList won't unpack a string from an EagerTensor.\n  return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))\n\ndef _float_feature(value):\n  \"\"\"Returns a float_list from a float / double.\"\"\"\n  return tf.train.Feature(float_list=tf.train.FloatList(value=[value]))\n\ndef _int64_feature(value):\n  \"\"\"Returns an int64_list from a bool / enum / int / uint.\"\"\"\n  return tf.train.Feature(int64_list=tf.train.Int64List(value=[value]))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def serialize_example(feature0, feature1):\n  feature = {\n      'image': _bytes_feature(feature0),\n      'label': _int64_feature(feature1)\n  }\n  example_proto = tf.train.Example(features=tf.train.Features(feature=feature))\n  return example_proto.SerializeToString()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def TFRecordWriter(count, CSV_FILE_PATH, DEST_PATH):\n    # read csv and extract image paths and labels\n    df = pd.read_csv(CSV_FILE_PATH)\n    IMG_PATHS = df['image_id'].values\n    LABELS = df['label'].values\n    SIZE = len(IMG_PATHS)\n\n    # make destination dir\n    os.makedirs(DEST_PATH, exist_ok=True)\n\n    with tf.io.TFRecordWriter(DEST_PATH+'train%.2i-%i.tfrec'%(count,SIZE)) as writer:\n        for j in range(SIZE):\n            # get image\n            img = cv2.imread(IMG_PATHS[j])\n#             img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR) # Fix incorrect colors\n            img = cv2.imencode('.jpg', img, (cv2.IMWRITE_JPEG_QUALITY, 94))[1].tostring()\n\n            # get label\n            label = LABELS[j]\n\n            # get TFRecord example\n            example = serialize_example(img, label)\n\n            writer.write(example)\n\n            if j%100==0: \n                print(j,', ',end='')","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Generate TFRecords"},{"metadata":{"trusted":true},"cell_type":"code","source":"FOLDS_PATH = './folds/'\nCSV_FILES = os.listdir(FOLDS_PATH)\n\nos.makedirs('tfrecords/', exist_ok=True)\n\nfor count, csv_file in enumerate(CSV_FILES):\n    print(f'Creating TFRecords for: {csv_file}\\n')\n    \n    TFRecordWriter(count,\n                   FOLDS_PATH+csv_file,\n                  'tfrecords/')\n    print('\\n')","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Save as W&B Artifact for dataset versioning"},{"metadata":{"trusted":true},"cell_type":"code","source":"run = wandb.init(entity='ayush-thakur', project='cassava', job_type='dataset_tfrecord')\n\nartifact_folds = run.use_artifact('ayush-thakur/cassava/cassava_folds:v0', type='dataset')\n\nartifact_tfrecord = wandb.Artifact('cassava_tfrecord', type='dataset')\nartifact_tfrecord.add_dir('tfrecords')\nrun.log_artifact(artifact_tfrecord)\n\nrun.join()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Visualize For Sanity Check"},{"metadata":{"trusted":true},"cell_type":"code","source":"# Decode image from TFRecord file.\ndef decode_image(image):\n    image = tf.image.decode_jpeg(image, channels=3)\n    image = tf.cast(image, tf.float32) / 255.0\n    image = tf.image.resize(image, [512, 512])\n    return image\n\n# Read the TFRecord file.\ndef read_tfrecord(example):\n    tfrecord_format = {\n        \"image\": tf.io.FixedLenFeature([], tf.string),\n        \"label\": tf.io.FixedLenFeature([], tf.int64)\n    }\n    \n    example = tf.io.parse_single_example(example, tfrecord_format)\n    image = decode_image(example['image'])\n    label = tf.cast(example['label'], tf.int32)\n    \n    return image, label\n\n# Return tf.data dataset\ndef load_dataset(filenames):\n    dataset = tf.data.TFRecordDataset(filenames, num_parallel_reads=tf.data.experimental.AUTOTUNE) # automatically interleaves reads from multiple files\n    dataset = dataset.map(read_tfrecord, num_parallel_calls=tf.data.experimental.AUTOTUNE)\n    return dataset","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def show_batch(image_batch, label_batch):\n  plt.figure(figsize=(20,20))\n  for n in range(25):\n      ax = plt.subplot(5,5,n+1)\n      plt.imshow(image_batch[n])\n      plt.axis('off')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"TFRECORDS = np.array(tf.io.gfile.glob('./tfrecords/train*.tfrec'))     \nloader = load_dataset(TFRECORDS[0]).batch(32)\n\nimage_batch, label_batch = next(iter(loader))\nshow_batch(image_batch, label_batch)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"We will use this dataset to train an image classifier. I will be using this [training kernel](https://www.kaggle.com/ayuraj/efficientnet-mixup-k-fold-using-tf-and-wandb). \n\nThe final preview of the graph view of the dataset versioning.\n\n![Screenshot%20%2842%29.png](attachment:Screenshot%20%2842%29.png)\n\n# Use the TFRecord Dataset\n\nIn order to use the dataset created use this code snippet:\n\n```\nimport wandb\nrun = wandb.init()\nartifact = run.use_artifact('ayush-thakur/cassava/cassava_tfrecord:v0', type='dataset')\nartifact_dir = artifact.download()\n```\n\nThe [training notebook](https://www.kaggle.com/ayuraj/efficientnet-mixup-k-fold-using-tf-and-wandb) will showcase the use W&B artifacts to download the dataset and train the model. 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