{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import os\nimport tensorflow as tf\nfrom PIL import Image  \nimport matplotlib.pyplot as plt\nimport numpy as np\nimport pandas as pd\nimport cv2\npath='/kaggle/input/cassava-leaf-disease-classification/train_images/'\nlabel=pd.read_csv('/kaggle/input/cassava-leaf-disease-classification/train.csv')\nNUM_SHARDS = 20\ncnt=0\nIMG_QUALITY=95\n","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","collapsed":true,"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":false},"cell_type":"code","source":"for each in range(len(label)):\n    if each%(len(label)//NUM_SHARDS)==0:\n        writer = tf.io.TFRecordWriter('/kaggle/working/'+str(cnt) + \".tfrecords\")  \n        print(each)\n\n    img_name=label['image_id'][each]\n\n    img_path = path + img_name \n    img = cv2.imread(img_path)\n\n    img = cv2.resize(img,(512,512))\n    img = cv2.imencode('.jpg', img, (cv2.IMWRITE_JPEG_QUALITY, IMG_QUALITY))[1].tostring()\n    #img = cv2.imencode('.jpg', img)[1]\n\n    index=label['label'][each]\n    example = tf.train.Example(features=tf.train.Features(feature={\n            \"label\": tf.train.Feature(int64_list=tf.train.Int64List(value=[index])),\n            'image': tf.train.Feature(bytes_list=tf.train.BytesList(value=[img]))\n        }))  \n    writer.write(example.SerializeToString())  \n    each+=1\n    cnt+=1","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}