{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import os\nimport json\n\nBASE_DIR = \"../input/cassava-leaf-disease-classification/\"","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"with open(os.path.join(BASE_DIR, \"label_num_to_disease_map.json\")) as file:\n    map_classes = json.loads(file.read())\n    map_classes = {int(k) : v for k, v in map_classes.items()}\n    \nprint(json.dumps(map_classes, indent=4))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import pandas as pd\nimport cv2","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"input_files = os.listdir(os.path.join(BASE_DIR, \"train_images\"))\nprint(f\"Number of train images: {len(input_files)}\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img_shapes = {}\nfor image_name in os.listdir(os.path.join(BASE_DIR, \"train_images\"))[:300]:\n    image = cv2.imread(os.path.join(BASE_DIR, \"train_images\", image_name))\n    img_shapes[image.shape] = img_shapes.get(image.shape, 0) + 1\n\nprint(img_shapes)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_train = pd.read_csv(os.path.join(BASE_DIR, \"train.csv\"))\n\ndf_train[\"class_name\"] = df_train[\"label\"].map(map_classes)\n\ndf_train.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_train['image_id'] = df_train['image_id'].astype('str')\ndf_train['label'] = df_train['label'].astype('str')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_train['label'].value_counts()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import keras\n\nfinal_model = keras.models.load_model('../input/expandedmodel/Cassava_best_model.h5')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"final_model.summary()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"TEST_DIR = '../input/cassava-leaf-disease-classification/test_images/'\ntest_images = os.listdir(TEST_DIR)\npredictions = []\nsize = (456,456)\n\n\nfrom PIL import Image\nimport numpy as np\n\n\n\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    predictions.extend(final_model.predict(img).argmax(axis = 1))\n\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"predictions","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"sub = pd.DataFrame({'image_id': test_images, 'label': predictions})\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}