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"SKU110K_fixed/images/test_444.jpg\n", + "SKU110K_fixed/images/train_8142.jpg\n", + "SKU110K_fixed/images/train_3826.jpg\n", + "SKU110K_fixed/images/train_2758.jpg\n", + "SKU110K_fixed/images/train_497.jpg\n", + "SKU110K_fixed/images/test_9.jpg\n", + "SKU110K_fixed/images/test_2896.jpg\n", + "SKU110K_fixed/images/train_7042.jpg\n", + "SKU110K_fixed/images/val_234.jpg\n", + "SKU110K_fixed/images/train_970.jpg\n", + "SKU110K_fixed/images/train_2347.jpg\n", + "SKU110K_fixed/images/train_1752.jpg\n", + "SKU110K_fixed/images/train_3415.jpg\n", + "SKU110K_fixed/images/train_1247.jpg\n", + "SKU110K_fixed/images/train_2820.jpg\n", + "SKU110K_fixed/images/train_72.jpg\n", + "SKU110K_fixed/images/test_1385.jpg\n", + "SKU110K_fixed/images/test_2453.jpg\n", + "SKU110K_fixed/images/train_3004.jpg\n", + "SKU110K_fixed/images/train_1341.jpg\n", + "SKU110K_fixed/images/test_986.jpg\n", + "SKU110K_fixed/images/test_2042.jpg\n", + "SKU110K_fixed/images/test_575.jpg\n", + "SKU110K_fixed/images/train_2889.jpg\n", + "SKU110K_fixed/images/val_56.jpg\n", + "SKU110K_fixed/images/train_3957.jpg\n", + "SKU110K_fixed/images/test_164.jpg\n", + "SKU110K_fixed/images/val_365.jpg\n", + "SKU110K_fixed/images/train_5714.jpg\n", + "SKU110K_fixed/images/train_1883.jpg\n", + "SKU110K_fixed/images/train_2478.jpg\n", + "SKU110K_fixed/images/train_3546.jpg\n", + "SKU110K_fixed/images/train_5209.jpg\n", + "SKU110K_fixed/images/train_4614.jpg\n", + "SKU110K_fixed/images/train_2951.jpg\n", + "SKU110K_fixed/images/train_690.jpg\n", + "SKU110K_fixed/images/train_2067.jpg\n", + "SKU110K_fixed/images/train_1472.jpg\n", + "SKU110K_fixed/images/train_3135.jpg\n", + "SKU110K_fixed/images/train_4203.jpg\n", + "SKU110K_fixed/images/train_2540.jpg\n", + "SKU110K_fixed/images/train_1061.jpg\n", + "SKU110K_fixed/images/train_7919.jpg\n", + "SKU110K_fixed/images/test_295.jpg\n", + "SKU110K_fixed/images/train_4777.jpg\n", + "SKU110K_fixed/images/train_5845.jpg\n", + "SKU110K_fixed/images/train_7508.jpg\n", + "SKU110K_fixed/images/train_6913.jpg\n", + "SKU110K_fixed/images/train_2198.jpg\n", + "SKU110K_fixed/images/train_4366.jpg\n", + "SKU110K_fixed/images/train_3771.jpg\n", + "SKU110K_fixed/images/train_5434.jpg\n", + "SKU110K_fixed/images/train_3266.jpg\n", + "SKU110K_fixed/images/train_6502.jpg\n", + "SKU110K_fixed/images/train_4334.jpg\n", + "SKU110K_fixed/images/test_2919.jpg\n", + "SKU110K_fixed/images/train_3360.jpg\n", + "SKU110K_fixed/images/train_5023.jpg\n", + "SKU110K_fixed/images/train_1192.jpg\n", + "SKU110K_fixed/images/train_109.jpg\n", + "SKU110K_fixed/images/train_2260.jpg\n", + "SKU110K_fixed/images/test_2508.jpg\n", + "SKU110K_fixed/images/test_1913.jpg\n", + "SKU110K_fixed/images/test_1408.jpg\n", + "SKU110K_fixed/images/train_5154.jpg\n", + "SKU110K_fixed/images/test_1502.jpg\n", + "SKU110K_fixed/images/train_5976.jpg\n", + "SKU110K_fixed/images/train_7639.jpg\n", + "SKU110K_fixed/images/train_7228.jpg\n", + "SKU110K_fixed/images/train_876.jpg\n", + "SKU110K_fixed/images/train_4497.jpg\n", + "SKU110K_fixed/images/train_4086.jpg\n", + "SKU110K_fixed/images/train_5565.jpg\n", + "SKU110K_fixed/images/train_4970.jpg\n", + "SKU110K_fixed/images/train_6633.jpg\n", + "SKU110K_fixed/images/train_7701.jpg\n", + "SKU110K_fixed/images/train_1938.jpg\n", + "SKU110K_fixed/images/train_8016.jpg\n", + "SKU110K_fixed/images/train_3491.jpg\n", + "SKU110K_fixed/images/train_6222.jpg\n", + "SKU110K_fixed/images/train_745.jpg\n", + "SKU110K_fixed/images/test_2639.jpg\n", + "SKU110K_fixed/images/train_3080.jpg\n", + "SKU110K_fixed/images/test_2228.jpg\n", + "SKU110K_fixed/images/test_1633.jpg\n", + "SKU110K_fixed/images/train_302.jpg\n", + "SKU110K_fixed/images/test_2701.jpg\n", + "SKU110K_fixed/images/train_5696.jpg\n", + "SKU110K_fixed/images/train_6796.jpg\n", + "SKU110K_fixed/images/test_1222.jpg\n", + "SKU110K_fixed/images/train_7864.jpg\n", + "SKU110K_fixed/images/train_7359.jpg\n", + "SKU110K_fixed/images/test_318.jpg\n", + "SKU110K_fixed/images/test_823.jpg\n", + "SKU110K_fixed/images/train_5790.jpg\n", + "SKU110K_fixed/images/train_7453.jpg\n", + "SKU110K_fixed/images/train_5285.jpg\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# **GET LABEL**" + ], + "metadata": { + "id": "P1UOVbmJeNAF" + } + }, + { + "cell_type": "markdown", + "source": [ + "**`Label:`**:\n", + "- image_name\n", + "- x1\n", + "- y1\n", + "- x2\n", + "- y2\n", + "- class\n", + "- image_width\n", + "- image_height" + ], + "metadata": { + "id": "GH-Ry77HePWy" + } + }, + { + "cell_type": "markdown", + "source": [ + "# **CREATE FOLDER**" + ], + "metadata": { + "id": "iTCozRQme51i" + } + }, + { + "cell_type": "code", + "source": [ + "import os\n", + "import pandas as pd\n", + "\n", + "try:\n", + " os.mkdir('./data')\n", + " os.mkdir('./data/images')\n", + " os.mkdir('./data/labels')\n", + " os.mkdir('./data/images/train')\n", + " os.mkdir('./data/images/val')\n", + " os.mkdir('./data/images/test')\n", + " os.mkdir('./data/labels/train')\n", + " os.mkdir('./data/labels/val')\n", + " os.mkdir('./data/labels/test')\n", + "except OSError:\n", + " pass" + ], + "metadata": { + "id": "kY4t71Q6dwjO" + }, + "execution_count": 11, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "schema = ['filename', 'xmin', 'ymin', 'xmax', 'ymax', 'class', 'img_width', 'img_height']\n", + "train_df = pd.read_csv('/content/SKU110K_fixed/annotations/annotations_train.csv', names=schema)\n", + "val_df = pd.read_csv('/content/SKU110K_fixed/annotations/annotations_val.csv', names=schema)\n", + "test_df = pd.read_csv('/content/SKU110K_fixed/annotations/annotations_test.csv', names=schema)" + ], + "metadata": { + "id": "d-TMWgyifGk4" + }, + "execution_count": 20, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## **CHECK DATA**" + ], + "metadata": { + "id": "mIJUts1ihgHJ" + } + }, + { + "cell_type": "code", + "source": [ + "train_df['class'].unique()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "p9PGxjZvhiM5", + "outputId": "be4a3c2f-3b77-49c6-ba52-11398aa6cc1e" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array(['object'], dtype=object)" + ] + }, + "metadata": {}, + "execution_count": 13 + } + ] + }, + { + "cell_type": "code", + "source": [ + "train_df['filename'].str.split('.').str[-1].unique()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LSKA_TzeirjA", + "outputId": "bc99d07d-995f-4e44-cdf1-5b3b999b81c8" + }, + "execution_count": 14, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array(['jpg'], dtype=object)" + ] + }, + "metadata": {}, + "execution_count": 14 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## **TRAINING FOLDER**" + ], + "metadata": { + "id": "A_SqF-CogE2n" + } + }, + { + "cell_type": "code", + "source": [ + "# Lables\n", + "train_folder_labels = '/content/data/labels/train'\n", + "val_folder_labels = '/content/data/labels/val'\n", + "test_folder_labels = '/content/data/labels/test'\n", + "\n", + "# Images\n", + "train_folder_images = '/content/data/images/train'\n", + "val_folder_images = '/content/data/images/val'\n", + "test_folder_images = '/content/data/images/test'" + ], + "metadata": { + "id": "dshypKiYjd4n" + }, + "execution_count": 15, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "def convert_to_yolo_format(row):\n", + " xmin = row['xmin']\n", + " ymin = row['ymin']\n", + " xmax = row['xmax']\n", + " ymax = row['ymax']\n", + "\n", + " x_center = (xmin + xmax) / (2 * row['img_width'])\n", + " y_center = (ymin + ymax) / (2 * row['img_height'])\n", + " width = (xmax - xmin) / row['img_width']\n", + " height = (ymax - ymin) / row['img_height']\n", + " return f\"{0} {x_center} {y_center} {width} {height}\\n\"\n", + "\n", + "def save_txt_file(filename, content, directory):\n", + " file_path = os.path.join(directory, filename)\n", + " mode = 'a' if os.path.exists(file_path) else 'w'\n", + " with open(file_path, mode) as f:\n", + " f.write(content)\n", + "\n", + "def create_labels(directory, labels):\n", + " for index, row in labels.iterrows():\n", + " txt_filename = row['filename'].replace('.jpg', '.txt')\n", + " content = convert_to_yolo_format(row)\n", + " save_txt_file(txt_filename, content, directory)" + ], + "metadata": { + "id": "H_AfOAqmgSek" + }, + "execution_count": 16, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Label\n", + "create_labels(train_folder_labels, train_df)\n", + "create_labels(val_folder_labels, val_df)\n", + "create_labels(test_folder_labels, test_df)" + ], + "metadata": { + "id": "hkq7jh2ufz77" + }, + "execution_count": 17, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Images\n", + "from tqdm import tqdm\n", + "import shutil\n", + "\n", + "data_path = '/content/SKU110K_fixed/images'\n", + "all_df = [train_df, val_df, test_df]\n", + "all_folder = [train_folder_images,\n", + " val_folder_images,\n", + " test_folder_images]\n", + "\n", + "for file_name in tqdm(os.listdir(data_path)):\n", + " source_file = os.path.join(data_path, file_name)\n", + " for each_df, each_folder in zip(all_df, all_folder):\n", + " if file_name in each_df['filename'].values:\n", + " destination_file = os.path.join(each_folder, file_name)\n", + " shutil.copyfile(source_file, destination_file)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "DHsKmUC-kQv9", + "outputId": "d21e182b-d038-45ff-b6a9-b06739cd779b" + }, + "execution_count": 19, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "100%|██████████| 11743/11743 [10:09<00:00, 19.27it/s]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "for file_name in tqdm(os.listdir(data_path)):\n", + " source_file = os.path.join(data_path, file_name)\n", + " if file_name in test_df['filename'].values:\n", + " destination_file = os.path.join(test_folder_images, file_name)\n", + " shutil.copyfile(source_file, destination_file)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2JrMredvVT8s", + "outputId": "95789cda-e67d-464a-cdcc-e08af14cb75a" + }, + "execution_count": 29, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "100%|██████████| 11743/11743 [02:40<00:00, 73.10it/s]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## **CHECK FOLDER**" + ], + "metadata": { + "id": "7Rsk2ut3XaS3" + } + }, + { + "cell_type": "code", + "source": [ + "!zip -r /content/sku.zip /content/data" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1FCHOK3Ktl2-", + "outputId": "3bd2333c-1d07-4611-f73c-65a0d4aa6d24" + }, + "execution_count": 30, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n", + " adding: content/data/labels/train/train_7865.txt (deflated 78%)\n", + " adding: content/data/labels/train/train_2354.txt (deflated 75%)\n", + " adding: content/data/labels/train/train_1831.txt (deflated 78%)\n", + " adding: content/data/labels/train/train_6054.txt (deflated 77%)\n", + " adding: content/data/labels/train/train_5589.txt (deflated 76%)\n", + " adding: content/data/labels/train/train_3635.txt (deflated 75%)\n", + " adding: content/data/labels/train/train_3607.txt (deflated 74%)\n", + " adding: content/data/labels/train/train_8066.txt (deflated 78%)\n", + " adding: content/data/labels/train/train_1397.txt (deflated 76%)\n", + " adding: content/data/labels/train/train_5282.txt (deflated 77%)\n", + " adding: content/data/labels/train/train_7080.txt (deflated 79%)\n", + " adding: content/data/labels/train/train_420.txt (deflated 74%)\n", + " adding: content/data/labels/train/train_5916.txt (deflated 77%)\n", + " adding: content/data/labels/train/train_4075.txt (deflated 77%)\n", + " adding: content/data/labels/train/train_1455.txt (deflated 81%)\n", + " adding: content/data/labels/train/train_407.txt (deflated 75%)\n", + " adding: content/data/labels/train/train_720.txt (deflated 81%)\n", + " adding: content/data/labels/train/train_1442.txt (deflated 78%)\n", + " adding: content/data/labels/train/train_3951.txt (deflated 76%)\n", + " adding: content/data/labels/train/train_2746.txt (deflated 78%)\n", + " adding: content/data/labels/train/train_548.txt (deflated 76%)\n", + " adding: content/data/labels/train/train_300.txt (deflated 79%)\n", + " adding: content/data/labels/train/train_5031.txt (deflated 77%)\n", + " adding: content/data/labels/train/train_4544.txt (deflated 76%)\n", + " adding: content/data/labels/train/train_5866.txt (deflated 77%)\n", + " adding: content/data/labels/train/train_2053.txt (deflated 77%)\n", + " 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" adding: content/data/labels/val/val_469.txt (deflated 75%)\n", + " adding: content/data/labels/val/val_99.txt (deflated 79%)\n", + " adding: content/data/labels/val/val_200.txt (deflated 79%)\n", + " adding: content/data/labels/val/val_145.txt (deflated 78%)\n", + " adding: content/data/labels/val/val_190.txt (deflated 77%)\n", + " adding: content/data/labels/val/val_485.txt (deflated 77%)\n", + " adding: content/data/labels/val/val_38.txt (deflated 79%)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install huggingface_hub" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "KFp6cFAhbl2k", + "outputId": "a553ca74-940a-46e5-cfff-c0019f010e39" + }, + "execution_count": 33, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (0.20.3)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (3.14.0)\n", + "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2023.6.0)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2.31.0)\n", + "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.66.4)\n", + "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (6.0.1)\n", + "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.11.0)\n", + "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (24.0)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (3.7)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2.0.7)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2024.2.2)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from huggingface_hub import login\n", + "login()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 145, + "referenced_widgets": [ + "b6ecf3a8ffd84c6781d409e1726c23c0", + "e84b878f4a724a0295c6bc107e6670c6", + "e099cfdb4fcd45e089bde54c8a4b2f0a", + "95b004a41b764325bbaa8fc6b3d737ff", + "76b79663fe014a5ea570ae488b6abd0d", + "9b16cabbdc6b499ba99656e12b068ee3", + "d8c4e38efb81442c99518e94b838137a", + "463cd1f27ffa46bfabc656c3fa8a3c76", + "e6c893198cc749ae9858f29c8de8e6c1", + "888e6bc9088d4f2aac3e336bcfd5c93a", + "d60b53f0a81a4e86bd8c7ecc1555516d", + "754014fbd18f41d8b78742a2ec3cad33", + "331dc1e3e2b9411aa7467639ba06700d", + "5abf32bd48e144c0821a7e95fd580e9e", + "d16a6df791c449a89fc8877ddb7b06d3", + "4fa25b356d5b4beabd8c3402e2dc07c4", + "67e537186c524e1489b098d9b6da7b51", + "d8995c91ef484e96b0b8d6ac3b65ceb2", + "14c40f79d0274299b148c0f4d513f9cd", + "a3cb30a69765425db877f429a7e9e747", + "2d9bf061e89a491281674905c11d0bb5", + "c303e43ee2da4345a0fc3435d3e4324d", + "2c22b74e05aa4c26ae22c0d4ddcf4c4d", + "937334416b044b2aba35c35b4f3d394b", + "8e31ed9463e94cf5b62cd6ae7592e9f2", + "d5f4e7de61424da99fd200969e3554ef", + "20b7c812f3974bcbb12858f99ee6049f", + "8f495eee93d34396b3a4985b86ca4b71", + "7744f7fbd15540199b6151f3e322b724", + "e8931a0d54ba45f893596dfd5c18e2e9", + "a776e99487ed4409810e6ddfd046741c", + "1c438a3aa0fc4835aab33f28bf35dd16" + ] + }, + "id": "XmhVeE4nT3j2", + "outputId": "3bb0b84f-ebde-4c82-aca2-d00824e6dbf1" + }, + "execution_count": 34, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "VBox(children=(HTML(value='