{"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_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Intro\nInference notebook for [Hotel-ID starter - classification - traning](https://www.kaggle.com/code/michaln/hotel-id-starter-classification-traning)\n\n","metadata":{"id":"DAY5rHgTm7e8","papermill":{"duration":0.024896,"end_time":"2022-03-24T14:00:54.588459","exception":false,"start_time":"2022-03-24T14:00:54.563563","status":"completed"},"tags":[]}},{"cell_type":"markdown","source":"# Setup","metadata":{}},{"cell_type":"code","source":"import sys\nsys.path.append('../input/timm-pytorch-image-models/pytorch-image-models-master')","metadata":{"executionInfo":{"elapsed":16271,"status":"ok","timestamp":1619310548121,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"alleged-legislation","outputId":"c6541e5f-ffb4-4609-d6c6-39784e6a07b1","papermill":{"duration":0.036572,"end_time":"2022-03-24T14:00:54.649254","exception":false,"start_time":"2022-03-24T14:00:54.612682","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:58:16.315613Z","iopub.execute_input":"2022-05-13T15:58:16.316161Z","iopub.status.idle":"2022-05-13T15:58:16.346137Z","shell.execute_reply.started":"2022-05-13T15:58:16.316064Z","shell.execute_reply":"2022-05-13T15:58:16.34552Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Imports","metadata":{"id":"cZoSOL9Qm-Yr","papermill":{"duration":0.023644,"end_time":"2022-03-24T14:00:54.696898","exception":false,"start_time":"2022-03-24T14:00:54.673254","status":"completed"},"tags":[]}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport random\nimport os\nimport math","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","executionInfo":{"elapsed":14459,"status":"ok","timestamp":1619310548121,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"expired-matter","papermill":{"duration":0.030271,"end_time":"2022-03-24T14:00:54.751131","exception":false,"start_time":"2022-03-24T14:00:54.72086","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:58:16.353642Z","iopub.execute_input":"2022-05-13T15:58:16.35382Z","iopub.status.idle":"2022-05-13T15:58:16.35743Z","shell.execute_reply.started":"2022-05-13T15:58:16.353798Z","shell.execute_reply":"2022-05-13T15:58:16.35675Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from PIL import Image as pil_image\nfrom tqdm import tqdm","metadata":{"executionInfo":{"elapsed":16003,"status":"ok","timestamp":1619310550014,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"extreme-problem","papermill":{"duration":3.220402,"end_time":"2022-03-24T14:00:57.995239","exception":false,"start_time":"2022-03-24T14:00:54.774837","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:58:16.359173Z","iopub.execute_input":"2022-05-13T15:58:16.359618Z","iopub.status.idle":"2022-05-13T15:58:16.366056Z","shell.execute_reply.started":"2022-05-13T15:58:16.359582Z","shell.execute_reply":"2022-05-13T15:58:16.365412Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import torch\nimport torch.nn as nn\nfrom torch.utils.data import DataLoader\n\nimport timm","metadata":{"executionInfo":{"elapsed":19672,"status":"ok","timestamp":1619310554099,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"angry-domain","papermill":{"duration":2.727834,"end_time":"2022-03-24T14:01:00.766951","exception":false,"start_time":"2022-03-24T14:00:58.039117","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:58:16.368575Z","iopub.execute_input":"2022-05-13T15:58:16.368749Z","iopub.status.idle":"2022-05-13T15:58:19.852123Z","shell.execute_reply.started":"2022-05-13T15:58:16.368726Z","shell.execute_reply":"2022-05-13T15:58:19.850273Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Global","metadata":{"id":"0B00pe7mnBTj","papermill":{"duration":0.023573,"end_time":"2022-03-24T14:01:00.814976","exception":false,"start_time":"2022-03-24T14:01:00.791403","status":"completed"},"tags":[]}},{"cell_type":"code","source":"SEED = 42\nIMG_SIZE = 256\n\nPROJECT_FOLDER = \"../input/hotel-id-to-combat-human-trafficking-2022-fgvc9/\"\nTEST_DATA_FOLDER = PROJECT_FOLDER + \"test_images/\"","metadata":{"executionInfo":{"elapsed":589,"status":"ok","timestamp":1619310979015,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"contained-brief","papermill":{"duration":0.03175,"end_time":"2022-03-24T14:01:00.871686","exception":false,"start_time":"2022-03-24T14:01:00.839936","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:46.192521Z","iopub.execute_input":"2022-05-13T15:59:46.192789Z","iopub.status.idle":"2022-05-13T15:59:46.197139Z","shell.execute_reply.started":"2022-05-13T15:59:46.192761Z","shell.execute_reply":"2022-05-13T15:59:46.195962Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(os.listdir(PROJECT_FOLDER))","metadata":{"executionInfo":{"elapsed":879,"status":"ok","timestamp":1619310979515,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"PZvmFng7ctO3","outputId":"dce0cc91-8e70-4acc-a0b8-6763ffffd5ca","papermill":{"duration":0.031651,"end_time":"2022-03-24T14:01:00.927239","exception":false,"start_time":"2022-03-24T14:01:00.895588","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:46.988634Z","iopub.execute_input":"2022-05-13T15:59:46.988864Z","iopub.status.idle":"2022-05-13T15:59:46.994828Z","shell.execute_reply.started":"2022-05-13T15:59:46.988838Z","shell.execute_reply":"2022-05-13T15:59:46.994068Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def seed_everything(seed):\n    random.seed(seed)\n    os.environ['PYTHONHASHSEED'] = str(seed)\n    np.random.seed(seed)\n    torch.manual_seed(seed)\n    torch.cuda.manual_seed(seed)\n    torch.backends.cudnn.deterministic = True","metadata":{"executionInfo":{"elapsed":600,"status":"ok","timestamp":1619310981653,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"eastern-content","papermill":{"duration":0.032105,"end_time":"2022-03-24T14:01:01.031949","exception":false,"start_time":"2022-03-24T14:01:00.999844","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:48.299864Z","iopub.execute_input":"2022-05-13T15:59:48.30013Z","iopub.status.idle":"2022-05-13T15:59:48.307432Z","shell.execute_reply.started":"2022-05-13T15:59:48.300101Z","shell.execute_reply":"2022-05-13T15:59:48.30671Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Dataset and transformations","metadata":{"id":"xaJKvvuKnW4k","papermill":{"duration":0.023988,"end_time":"2022-03-24T14:01:01.080488","exception":false,"start_time":"2022-03-24T14:01:01.0565","status":"completed"},"tags":[]}},{"cell_type":"code","source":"import albumentations as A\nimport albumentations.pytorch as APT\nimport cv2 \n\nbase_transform = A.Compose([\n    A.ToFloat(),\n    APT.transforms.ToTensorV2(),\n])","metadata":{"executionInfo":{"elapsed":1519,"status":"ok","timestamp":1619310984075,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"revolutionary-membership","papermill":{"duration":0.747421,"end_time":"2022-03-24T14:01:01.852072","exception":false,"start_time":"2022-03-24T14:01:01.104651","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:49.462121Z","iopub.execute_input":"2022-05-13T15:59:49.462657Z","iopub.status.idle":"2022-05-13T15:59:51.54409Z","shell.execute_reply.started":"2022-05-13T15:59:49.462618Z","shell.execute_reply":"2022-05-13T15:59:51.543218Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def pad_image(img):\n    w, h, c = np.shape(img)\n    if w > h:\n        pad = int((w - h) / 2)\n        img = cv2.copyMakeBorder(img, 0, 0, pad, pad, cv2.BORDER_CONSTANT, value=0)\n    else:\n        pad = int((h - w) / 2)\n        img = cv2.copyMakeBorder(img, pad, pad, 0, 0, cv2.BORDER_CONSTANT, value=0)\n        \n    return img\n\n\ndef open_and_preprocess_image(image_path):\n    img = cv2.imread(image_path)\n    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n    img = pad_image(img)\n    return cv2.resize(img, (IMG_SIZE, IMG_SIZE))","metadata":{"execution":{"iopub.status.busy":"2022-05-13T15:59:51.545921Z","iopub.execute_input":"2022-05-13T15:59:51.546188Z","iopub.status.idle":"2022-05-13T15:59:51.555101Z","shell.execute_reply.started":"2022-05-13T15:59:51.546153Z","shell.execute_reply":"2022-05-13T15:59:51.553629Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"class HotelImageDataset:\n    def __init__(self, data, transform=None, data_folder=\"train_images/\"):\n        self.data = data\n        self.data_folder = data_folder\n        self.transform = transform\n\n    def __len__(self):\n        return len(self.data)\n    \n    def __getitem__(self, idx):\n        record = self.data.iloc[idx]\n        image_path = self.data_folder + record[\"image_id\"]\n        \n        image = np.array(open_and_preprocess_image(image_path)).astype(np.uint8)\n\n        if self.transform:\n            transformed = self.transform(image=image)\n            image = transformed[\"image\"]\n        \n        return {\n            \"image\" : image,\n        }","metadata":{"executionInfo":{"elapsed":1058,"status":"ok","timestamp":1619310984077,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"found-mouth","papermill":{"duration":0.037507,"end_time":"2022-03-24T14:01:01.914352","exception":false,"start_time":"2022-03-24T14:01:01.876845","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:51.556481Z","iopub.execute_input":"2022-05-13T15:59:51.557026Z","iopub.status.idle":"2022-05-13T15:59:51.566959Z","shell.execute_reply.started":"2022-05-13T15:59:51.556991Z","shell.execute_reply":"2022-05-13T15:59:51.565996Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Model","metadata":{"id":"NMDM4PwPnced","papermill":{"duration":0.023902,"end_time":"2022-03-24T14:01:01.962307","exception":false,"start_time":"2022-03-24T14:01:01.938405","status":"completed"},"tags":[]}},{"cell_type":"code","source":"class HotelIdModel(nn.Module):\n    def __init__(self, n_classes=100, backbone_name=\"efficientnet_b0\"):\n        super(HotelIdModel, self).__init__()\n        \n        self.backbone = timm.create_model(backbone_name, num_classes=n_classes, pretrained=False)\n\n    def forward(self, x):\n        return self.backbone(x)","metadata":{"papermill":{"duration":0.032166,"end_time":"2022-03-24T14:01:02.018479","exception":false,"start_time":"2022-03-24T14:01:01.986313","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:51.81437Z","iopub.execute_input":"2022-05-13T15:59:51.814628Z","iopub.status.idle":"2022-05-13T15:59:51.822209Z","shell.execute_reply.started":"2022-05-13T15:59:51.814594Z","shell.execute_reply":"2022-05-13T15:59:51.821527Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Model helper functions","metadata":{"id":"YMZYKhUSneMY","papermill":{"duration":0.024153,"end_time":"2022-03-24T14:01:02.067537","exception":false,"start_time":"2022-03-24T14:01:02.043384","status":"completed"},"tags":[]}},{"cell_type":"code","source":"def predict(loader, model, n_matches=5):\n    preds = []\n    with torch.no_grad():\n        t = tqdm(loader)\n        for i, sample in enumerate(t):\n            input = sample['image'].to(args.device)\n            outputs = model(input)\n            outputs = torch.sigmoid(outputs).detach().cpu().numpy()\n            preds.extend(outputs)\n    \n    # get 5 top predictions\n    preds = np.argsort(-np.array(preds), axis=1)[:, :5]\n    return preds","metadata":{"papermill":{"duration":0.034692,"end_time":"2022-03-24T14:01:02.127372","exception":false,"start_time":"2022-03-24T14:01:02.09268","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:52.644435Z","iopub.execute_input":"2022-05-13T15:59:52.644893Z","iopub.status.idle":"2022-05-13T15:59:52.650801Z","shell.execute_reply.started":"2022-05-13T15:59:52.644858Z","shell.execute_reply":"2022-05-13T15:59:52.649937Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Prepare data","metadata":{"id":"AwShW1wXniD6","papermill":{"duration":0.023807,"end_time":"2022-03-24T14:01:02.175822","exception":false,"start_time":"2022-03-24T14:01:02.152015","status":"completed"},"tags":[]}},{"cell_type":"code","source":"test_df = pd.DataFrame(data={\"image_id\": os.listdir(TEST_DATA_FOLDER), \"hotel_id\": \"\"}).sort_values(by=\"image_id\")","metadata":{"executionInfo":{"elapsed":3742,"status":"ok","timestamp":1619311036476,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"discrete-right","outputId":"c21ed589-3139-4919-b5d5-07bcf6f1df15","papermill":{"duration":0.103381,"end_time":"2022-03-24T14:01:02.453866","exception":false,"start_time":"2022-03-24T14:01:02.350485","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:53.778726Z","iopub.execute_input":"2022-05-13T15:59:53.779263Z","iopub.status.idle":"2022-05-13T15:59:53.797273Z","shell.execute_reply.started":"2022-05-13T15:59:53.779224Z","shell.execute_reply":"2022-05-13T15:59:53.796396Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# code hotel_id mapping created in training notebook by encoding hotel_ids\nhotel_id_code_df = pd.read_csv('../input/no-padding-256-classification/hotel_id_code_mapping.csv')\nhotel_id_code_map = hotel_id_code_df.set_index('hotel_id_code').to_dict()[\"hotel_id\"]","metadata":{"execution":{"iopub.status.busy":"2022-05-13T15:59:54.421194Z","iopub.execute_input":"2022-05-13T15:59:54.421873Z","iopub.status.idle":"2022-05-13T15:59:54.439481Z","shell.execute_reply.started":"2022-05-13T15:59:54.421827Z","shell.execute_reply":"2022-05-13T15:59:54.438782Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Prepare model","metadata":{"id":"5JPdD2bpnniP","papermill":{"duration":0.023835,"end_time":"2022-03-24T14:01:02.502786","exception":false,"start_time":"2022-03-24T14:01:02.478951","status":"completed"},"tags":[]}},{"cell_type":"code","source":"def get_model(model_type, backbone_name, checkpoint_path, args):\n    model = HotelIdModel(args.n_classes, backbone_name)\n        \n    checkpoint = torch.load(checkpoint_path)\n    model.load_state_dict(checkpoint[\"model\"])\n    model = model.to(args.device)\n    \n    return model","metadata":{"papermill":{"duration":0.031082,"end_time":"2022-03-24T14:01:02.557921","exception":false,"start_time":"2022-03-24T14:01:02.526839","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:56.325179Z","iopub.execute_input":"2022-05-13T15:59:56.325967Z","iopub.status.idle":"2022-05-13T15:59:56.331616Z","shell.execute_reply.started":"2022-05-13T15:59:56.325915Z","shell.execute_reply":"2022-05-13T15:59:56.330861Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"class args:\n    batch_size = 64\n    num_workers = 2\n    n_classes = hotel_id_code_df[\"hotel_id\"].nunique()\n    device = ('cuda' if torch.cuda.is_available() else 'cpu')\n    \n    \nseed_everything(seed=SEED)\n\ntest_dataset = HotelImageDataset(test_df, base_transform, data_folder=TEST_DATA_FOLDER)\ntest_loader = DataLoader(test_dataset, num_workers=args.num_workers, batch_size=args.batch_size, shuffle=False)","metadata":{"executionInfo":{"elapsed":450,"status":"ok","timestamp":1619311064188,"user":{"displayName":"Jeom Jin-Ho","photoUrl":"","userId":"00155613517919499503"},"user_tz":-120},"id":"appointed-machinery","papermill":{"duration":0.069839,"end_time":"2022-03-24T14:01:02.65177","exception":false,"start_time":"2022-03-24T14:01:02.581931","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:57.039234Z","iopub.execute_input":"2022-05-13T15:59:57.040154Z","iopub.status.idle":"2022-05-13T15:59:57.107288Z","shell.execute_reply.started":"2022-05-13T15:59:57.040092Z","shell.execute_reply":"2022-05-13T15:59:57.106519Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model = get_model(\"classification\", \"efficientnet_b0\",\n                  \"../input/no-padding-256-classification/checkpoint-classification-model-efficientnet_b0-256x256.pt\", \n                  args)","metadata":{"papermill":{"duration":5.553999,"end_time":"2022-03-24T14:01:08.229948","exception":false,"start_time":"2022-03-24T14:01:02.675949","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-05-13T15:59:58.805027Z","iopub.execute_input":"2022-05-13T15:59:58.807379Z","iopub.status.idle":"2022-05-13T16:00:03.532505Z","shell.execute_reply.started":"2022-05-13T15:59:58.807328Z","shell.execute_reply":"2022-05-13T16:00:03.53177Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Submission","metadata":{"papermill":{"duration":0.024227,"end_time":"2022-03-24T14:01:08.278753","exception":false,"start_time":"2022-03-24T14:01:08.254526","status":"completed"},"tags":[]}},{"cell_type":"code","source":"%%time\n\npreds = predict(test_loader, model)\n# replace classes with hotel_id using mapping created in trainig notebook\npreds = [[hotel_id_code_map[b] for b in a] for a in preds]\n# transform array of hotel_ids into string\ntest_df[\"hotel_id\"] = [str(list(l)).strip(\"[]\").replace(\",\", \"\") for l in preds]\n\ntest_df.to_csv(\"submission.csv\", index=False)\ntest_df.head()","metadata":{"papermill":{"duration":0.047156,"end_time":"2022-03-24T14:01:08.414557","exception":false,"start_time":"2022-03-24T14:01:08.367401","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-04-21T09:16:29.989097Z","iopub.execute_input":"2022-04-21T09:16:29.989386Z","iopub.status.idle":"2022-04-21T09:16:30.171527Z","shell.execute_reply.started":"2022-04-21T09:16:29.989317Z","shell.execute_reply":"2022-04-21T09:16:30.1706Z"},"trusted":true},"execution_count":null,"outputs":[]}]}