{"cells":[{"metadata":{},"cell_type":"markdown","source":"## Add - Cassava - Multiclass problem notebook into this notebook (from +Add data). \nThat should successfully load the best_model.hf5 into this notebook.\n\n* Change the variable MODEL_PATH to the path of \"best_model.hdf5\""},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\nimport os\nROOT_DIR = '../input/cassava-leaf-disease-classification/'\nTEST_DIR = '../input/cassava-leaf-disease-classification/test_images/'\n# add path of \nMODEL_PATH = '../input/cassava-multiclass-problem/best_model.hdf5'\nos.listdir(\"../input\")","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"from PIL import Image\nfrom keras.models import load_model","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"IMG_SIZE = 224\nsize = (IMG_SIZE,IMG_SIZE)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Load the best model from training"},{"metadata":{"trusted":true},"cell_type":"code","source":"# load the best saved model as a new model\nbest_model = load_model(MODEL_PATH)\nbest_model.summary()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_images = os.listdir(TEST_DIR)\npreds = []\nfor image in test_images:\n    img = Image.open(TEST_DIR + image)\n    img = img.resize(size)\n    img = np.expand_dims(img, axis=0)\n    preds.extend(best_model.predict(img).argmax(axis = 1))\nprint(preds)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub = pd.DataFrame({'image_id': test_images, 'label': preds})\ndisplay(sub)\nsub.to_csv('submission.csv', index = False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","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}