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| "metadata": { | |
| "id": "view-in-github", | |
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| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/nateraw/954fa8cba4ff806f6147a782fa9efd1a/imagefolder-official-example.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "PkOTEjk5weFb" | |
| }, | |
| "source": [ | |
| "%%capture\n", | |
| "! pip install git+https://github.com/nateraw/datasets.git@image-folder" | |
| ], | |
| "execution_count": 1, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "N4YvehL9xqrl" | |
| }, | |
| "source": [ | |
| "Download example dataset" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "8LX-NDT6wlLM", | |
| "outputId": "ff9c70be-304b-4246-9a71-2707754c761a" | |
| }, | |
| "source": [ | |
| "! curl -O https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip\n", | |
| "! unzip -qq kagglecatsanddogs_3367a.zip" | |
| ], | |
| "execution_count": 2, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| " % Total % Received % Xferd Average Speed Time Time Time Current\n", | |
| " Dload Upload Total Spent Left Speed\n", | |
| "100 786M 100 786M 0 0 185M 0 0:00:04 0:00:04 --:--:-- 185M\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "JEe3vRVMxs3m" | |
| }, | |
| "source": [ | |
| "Load it as imagefolder" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 120, | |
| "referenced_widgets": [ | |
| "ba6a2e6c2c0c4064bbe8292c0be58474", | |
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| }, | |
| "id": "QGwx4yeJwvsy", | |
| "outputId": "8c94ef5d-2fc7-4ff2-eb0a-962de6d1122a" | |
| }, | |
| "source": [ | |
| "from datasets import load_dataset\n", | |
| "\n", | |
| "ds = load_dataset(\"imagefolder\", data_files=\"PetImages\")" | |
| ], | |
| "execution_count": 3, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Using custom data configuration default-f8cedc43a9a46c35\n" | |
| ], | |
| "name": "stderr" | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Downloading and preparing dataset image_folder/default (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /root/.cache/huggingface/datasets/image_folder/default-f8cedc43a9a46c35/0.0.0/c602799b5281dd7dfeb589b26abd0c0c7130737ee74d565015e9033113ebd437...\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "ba6a2e6c2c0c4064bbe8292c0be58474", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| "0 examples [00:00, ? examples/s]" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Dataset image_folder downloaded and prepared to /root/.cache/huggingface/datasets/image_folder/default-f8cedc43a9a46c35/0.0.0/c602799b5281dd7dfeb589b26abd0c0c7130737ee74d565015e9033113ebd437. Subsequent calls will reuse this data.\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "974c038e35be48a3abef0facfa7fe130", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| " 0%| | 0/1 [00:00<?, ?it/s]" | |
| ] | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "AULBK02JxxTY" | |
| }, | |
| "source": [ | |
| "Take a look at the dataset dict" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "YNQVCt0YxBTD", | |
| "outputId": "32068835-5cff-4149-98bc-f89044c50fbd" | |
| }, | |
| "source": [ | |
| "ds" | |
| ], | |
| "execution_count": 4, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "DatasetDict({\n", | |
| " train: Dataset({\n", | |
| " features: ['image_file_path', 'labels'],\n", | |
| " num_rows: 25000\n", | |
| " })\n", | |
| "})" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 4 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "iruO8u69x0nx" | |
| }, | |
| "source": [ | |
| "Print an example from the train split" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "FSUc_-4mxNmA", | |
| "outputId": "dae65de5-ed1b-4ce4-d031-ebf60e57224d" | |
| }, | |
| "source": [ | |
| "ds['train'][0]" | |
| ], | |
| "execution_count": 5, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "{'image_file_path': 'PetImages/Dog/576.jpg', 'labels': 'dog'}" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 5 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "3W95JGh7x3GC" | |
| }, | |
| "source": [ | |
| "Notice the labels here aren't class labels." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "lvl0OwZexjvl", | |
| "outputId": "7fa6e51d-0f54-4374-f713-1781cdc30a71" | |
| }, | |
| "source": [ | |
| "ds['train'].features" | |
| ], | |
| "execution_count": 6, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "{'image_file_path': Value(dtype='string', id=None),\n", | |
| " 'labels': Value(dtype='string', id=None)}" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 6 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "IIFR6AG7x601" | |
| }, | |
| "source": [ | |
| "We can easily encode them like this" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 81, | |
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| "source": [ | |
| "train_ds = ds['train'].class_encode_column('labels')" | |
| ], | |
| "execution_count": 7, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
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| "application/vnd.jupyter.widget-view+json": { | |
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| "data": { | |
| "application/vnd.jupyter.widget-view+json": { | |
| "model_id": "25a49e93def04ea684cc9c4094abbc57", | |
| "version_minor": 0, | |
| "version_major": 2 | |
| }, | |
| "text/plain": [ | |
| " 0%| | 0/3 [00:00<?, ?ba/s]" | |
| ] | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "uiUfuGeqx_Bf" | |
| }, | |
| "source": [ | |
| "Now our features look good" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "ntZrIhBDxa3Z", | |
| "outputId": "8e297559-ebed-4fb0-8f06-3dcc76e12ae1" | |
| }, | |
| "source": [ | |
| "train_ds.features" | |
| ], | |
| "execution_count": 8, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "{'image_file_path': Value(dtype='string', id=None),\n", | |
| " 'labels': ClassLabel(num_classes=2, names=['cat', 'dog'], names_file=None, id=None)}" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 8 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "d3XBMtQ23nxZ" | |
| }, | |
| "source": [ | |
| "`image_file_path` is a string path to an image file. To convert it to a more useful format, such as `PIL.Image`, you can apply a simple transform" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "cu5-IF0h1oOV" | |
| }, | |
| "source": [ | |
| "from PIL import Image" | |
| ], | |
| "execution_count": 9, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "U0KKSkM_1o9j" | |
| }, | |
| "source": [ | |
| "def pil_loader(path: str):\n", | |
| " with open(path, 'rb') as f:\n", | |
| " im = Image.open(f)\n", | |
| " return im.convert('RGB')\n", | |
| "\n", | |
| "\n", | |
| "def image_loader(example_batch):\n", | |
| " example_batch['image'] = [pil_loader(f) for f in example_batch['image_file_path']]\n", | |
| " return example_batch" | |
| ], | |
| "execution_count": 13, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "SB25o5p41rCX" | |
| }, | |
| "source": [ | |
| "train_ds = train_ds.with_transform(image_loader)" | |
| ], | |
| "execution_count": 14, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "vIo_dhOi1wMm", | |
| "outputId": "c54dc759-7886-40ad-9b85-7a72f263e3ac" | |
| }, | |
| "source": [ | |
| "train_ds[0]" | |
| ], | |
| "execution_count": 15, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "{'image': <PIL.Image.Image image mode=RGB size=307x500 at 0x7F77D1D6DB10>,\n", | |
| " 'image_file_path': 'PetImages/Dog/576.jpg',\n", | |
| " 'labels': 1}" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 15 | |
| } | |
| ] | |
| } | |
| ] | |
| } |
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