{"cells":[{"metadata":{},"cell_type":"markdown","source":"[UMAP](https://umap-learn.readthedocs.io/en/latest/#) is a dimensionality reduction technique. In this notebook I will show how to apply it to the features extracted by an EfficientNet-b0 model.\nThis allows us to:\n* See if the model is able to separate classes. In other words see if it learned anything good.\n* Find outliers and clusters among images.\n* Check on which images our model makes mistakes.\n\n[Bokeh](https://docs.bokeh.org/en/latest/index.html) is a Python library for interactive visualizations. Static 2D pictures are nice, but have you every wanted to hover over a dot and see what picture corresponds to it?\nI aim to reduce the features extracted by the CNN to 2 dimensions, plot all the points along these 2 dimensions.\n* Each dot is colored according to image label.\n* A dot replaced by a cross if the model made an error on this image.\n* Howering over a dot displays a tooltip with the image thumbnail and detailed information.\n\n\nI will not be aiming for a good model here, just a basic one to demonstrate the visualization. You can apply with your own models!"},{"metadata":{},"cell_type":"markdown","source":"# What the result will look like:"},{"metadata":{},"cell_type":"markdown","source":"![Screenshot%20from%202020-12-30%2014-49-57.png](attachment:Screenshot%20from%202020-12-30%2014-49-57.png)","attachments":{"Screenshot%20from%202020-12-30%2014-49-57.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"# Installs, imports and utils"},{"metadata":{"trusted":true,"collapsed":true},"cell_type":"code","source":"!pip install umap-learn\n!pip install bokeh\n!pip install timm","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import copy\nimport os\nimport numpy as np\nimport pandas as pd\nimport torch\nfrom matplotlib import pyplot as plt\nfrom mpl_toolkits.axes_grid1 import ImageGrid\nimport seaborn as sns\nfrom tqdm.auto import tqdm\nfrom skimage import io\nfrom umap import UMAP\n\nfrom bokeh.plotting import ColumnDataSource, figure, output_file, show, output_notebook\nfrom bokeh.transform import factor_cmap, factor_mark\nfrom bokeh.palettes import Category10\n\nfrom pytorch_lightning.metrics.functional import accuracy\nfrom torch import nn\nimport timm\nimport pytorch_lightning as pl\nfrom pytorch_lightning import Trainer\nimport torch.nn.functional as F\nfrom argparse import Namespace\n\nfrom PIL import Image\nimport albumentations as A\nfrom albumentations.pytorch import ToTensorV2\nfrom torchvision import transforms\nfrom torch.utils.data import Dataset, DataLoader\n\nimport base64\nfrom io import BytesIO\nfrom skimage import io, filters, measure, morphology, img_as_ubyte\nfrom matplotlib import cm\n\n%matplotlib inline\noutput_notebook()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"class CassavaDataset(Dataset):\n    def __init__(self, root, image_ids, labels, transform=None):\n        super().__init__()\n        self.root = root\n        self.image_ids = image_ids\n        self.labels = labels\n        self.targets = self.labels\n        self.transform = transform\n\n    def __len__(self):\n        return len(self.image_ids)\n\n    def __getitem__(self, idx):\n        label = self.labels[idx]\n        img = io.imread(os.path.join(self.root, self.image_ids[idx]))\n\n        if self.transform:\n            img = self.transform(img)\n\n        return img, label","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"class LeafDoctorModel(pl.LightningModule):\n    def __init__(self, hparams):\n        super().__init__()\n        self.hparams = hparams or Namespace()\n        self.trunk = timm.create_model('efficientnet_b0', pretrained=True, num_classes=5)\n\n    def forward(self, x):\n        return self.trunk(x)\n\n    def predict_proba(self, x):\n        probabilities = nn.functional.softmax(self.forward(x), dim=1)\n        return probabilities\n\n    def predict(self, x):\n        return torch.max(self.forward(x), 1)[1]\n\n    def configure_optimizers(self):\n        trainable_params = list(filter(lambda p: p.requires_grad, self.parameters()))\n        optimizer = torch.optim.AdamW(trainable_params,\n                                      lr=self.hparams.lr,\n                                      weight_decay=self.hparams.weight_decay)\n\n        return optimizer\n\n    def training_step(self, batch, batch_idx):\n        x, y = batch\n        y_hat = self(x)\n        loss = F.cross_entropy(y_hat, y)\n        acc = accuracy(y_hat, y)\n        self.log(\"train_acc\", acc, on_step=False, on_epoch=True, prog_bar=True, logger=True)\n        self.log(\"train_loss\", loss, on_step=True, on_epoch=False, prog_bar=False, logger=True)\n        return loss","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def get_wrapper(transforms):\n    def wraps(img):\n        return transforms(image=np.array(img))['image']\n    return wraps\n\ndef get_train_transforms(width, height):\n    train_transforms = A.Compose([\n        A.RandomResizedCrop(width, height, scale=(0.1, 0.8)),\n        A.ToFloat(max_value=1.0),\n        A.ShiftScaleRotate(p=0.5),\n        A.HorizontalFlip(p=0.5),\n        A.VerticalFlip(p=0.5),\n        A.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),\n        A.CoarseDropout(p=0.5),\n        A.Cutout(p=0.5),\n        ToTensorV2(),\n    ])\n\n    return get_wrapper(train_transforms)\n\n\ndef get_test_transforms(width, height):\n    test_transforms = A.Compose([\n        A.ToFloat(max_value=1.0),\n        A.CenterCrop(width, height),\n        A.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),\n        ToTensorV2(),\n    ])\n\n    return get_wrapper(test_transforms)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Train a small CNN"},{"metadata":{"trusted":true},"cell_type":"code","source":"train_csv = pd.read_csv('../input/cassava-leaf-disease-classification/train.csv')\ndataset = CassavaDataset(root='../input/cassava-leaf-disease-classification/train_images', image_ids=train_csv.image_id.values, labels=train_csv.label.values)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"parameters = dict(\n    max_epochs=10,\n    batch_size=32,\n    data_loader_workers=4,\n    \n    lr=0.001,\n    weight_decay=0.0001,\n    \n    train_width=256,\n    train_height=256,\n    test_width=300,\n    test_height=300,\n    \n    gpus=-1,\n    precision=16,\n    amp_level='02'\n)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"hparams = Namespace(**parameters)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model = LeafDoctorModel(hparams)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_transform = get_train_transforms(parameters['train_width'], parameters['train_height'])\n\ndataset.transform = train_transform\n\ntrain_loader = DataLoader(dataset,\n                            batch_size=parameters['batch_size'],\n                            num_workers=parameters['data_loader_workers'],\n                            shuffle=True,\n                            pin_memory=True)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"trainer = Trainer.from_argparse_args(\n        hparams,\n        reload_dataloaders_every_epoch=True,\n        terminate_on_nan=True,\n        precision=hparams.precision,\n        amp_level=hparams.amp_level,\n)\n\n\ntrainer.fit(model, train_loader)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Obtain feature vectors for all training images"},{"metadata":{"trusted":true},"cell_type":"code","source":"model = model.to('cuda')\n\nextractor = LeafDoctorModel(hparams)\nextractor.load_state_dict(model.state_dict())\nextractor = extractor.eval().to('cuda')\nextractor.trunk.classifier = nn.Identity()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"dataset.transform = get_test_transforms(parameters['test_width'], parameters['test_height'])\nloader = torch.utils.data.DataLoader(dataset, batch_size=20, num_workers=4)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"vectors = []\nlabels = []\npredictions = []\nfor batch in tqdm(loader): \n    images, batch_labels = batch\n    images = images.to('cuda')\n    predictions += model.predict(images).tolist()\n    \n    vectors += extractor(images).tolist()\n    labels += batch_labels.tolist()\n            \npredictions = np.array(predictions)\nlabels = np.array(labels)\nsuccess = np.equal(predictions, labels)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print('Train accuracy', sum(success)/len(success))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Reduce dimensionality using UMAP"},{"metadata":{"trusted":true},"cell_type":"code","source":"reducer = UMAP(random_state=42)\ntransformed = reducer.fit_transform(vectors)\ntr_x, tr_y = transformed[:, 0], transformed[:, 1]","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Static visualizations"},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(15, 10))\nsns.scatterplot(x=tr_x, y=tr_y, hue=np.array(labels), palette=\"deep\")\nplt.axis('off')\nplt.title('UMAP of NN extracted features by class')\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(15, 10))\nsns.scatterplot(x=tr_x, y=tr_y, hue=success, palette=\"deep\")\nplt.axis('off')\nplt.title('UMAP of NN extracted features by succesful classification')\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Bokeh to go interactive"},{"metadata":{"trusted":true},"cell_type":"code","source":"label_num_to_disease_map = {0: \"Cassava Bacterial Blight (CBB)\", \n                            1: \"Cassava Brown Streak Disease (CBSD)\", \n                            2: \"Cassava Green Mottle (CGM)\", \n                            3: \"Cassava Mosaic Disease (CMD)\", \n                            4: \"Healthy\"}","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"base_dir = '../input/cassava-leaf-disease-classification/train_images'\nimg_paths = [os.path.join(os.getcwd(), base_dir, img_id) for img_id in dataset.image_ids]\ndescs = [f'{l.item()} ({label_num_to_disease_map[l.item()]})' for l in labels]","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Bokeh requires image urls to display pictures. But we can not display pictures from disk in a kaggle kernel. I encode pictures into base64 urls, so that we can display an interactive visualization.\n\nIf you are running this on local computer, it will be much faster to just use `img_paths` in place of `img_urls` below, to render pictures from disk. If you do this, the base64 encoding code could be removed."},{"metadata":{"trusted":true},"cell_type":"code","source":"# Source: https://github.com/jni/blob-explorer/blob/master/picker.py#L119\ndef to_png(arr):\n    out = BytesIO()\n    im = Image.fromarray(arr)\n    im.save(out, format='png')\n    return out.getvalue()\n\ndef b64_image_files(images, colormap='magma'):\n    cmap = cm.get_cmap(colormap)\n    urls = []\n    for im in tqdm(images):\n        #png = to_png(img_as_ubyte(cmap(im)))\n        png = to_png(im)\n        url = 'data:image/png;base64,' + base64.b64encode(png).decode('utf-8')\n        urls.append(url)\n    return urls","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def images_generator(dataset):\n    for i in list(range(len(dataset)))[:100]:\n        img = dataset[i][0]\n        yield np.array(img)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"dataset.transform = None","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"image_urls = b64_image_files(images_generator(dataset))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"source = ColumnDataSource(data=dict(\n    x=tr_x,\n    y=tr_y,\n    label=[str(l) for l in labels],\n    prediction=[str(p) for p in predictions],\n    success=[str(s) for s in success],\n    desc=descs,\n    imgs=img_paths,\n    image_urls=image_urls,\n))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"TOOLTIPS = \"\"\"\n    <div>\n        <div>\n            <img\n                src=\"@image_urls\" height=\"200\" alt=\"@image_urls\" width=\"200\"\n                style=\"float: left; margin: 0px 15px 15px 0px;\"\n                border=\"2\"\n            ></img>\n        </div>\n        <div>\n            <div style=\"font-size: 15px; font-weight: bold;\">Label: @label</div>\n            <div style=\"font-size: 15px; font-weight: bold;\">Predicted: @prediction</div>\n            <div style=\"font-size: 12px; font-weight: bold;\">Success: @success</div>\n            <div style=\"font-size: 12px;\">@desc</div>\n            <div style=\"font-size: 12px; color: #966;\">[$index]</div>\n        </div>\n    </div5\n\"\"\"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"p = figure(plot_width=1000, plot_height=600, tooltips=TOOLTIPS,\n           title=\"UMAP: Mouse over the dots\")\n\nmapper = factor_cmap(field_name='label', palette=Category10[5], factors=['0', '1', '2', '3', '4'])\n\np.scatter('x', 'y', \n         color=mapper,\n         marker=factor_mark('success', ['circle', 'x'], [str(True), str(False)]),\n         size=10, \n         fill_alpha=0.5,\n         legend_field=\"desc\",\n         source=source)\n\np.legend.orientation = \"vertical\"\np.legend.location = \"top_right\"\noutput_file(\"umap.html\")\nshow(p)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Done! Hope you found this useful!\n\nYou can also download `umap.html` to analyze locally."},{"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}