{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n# Used to change filepaths\nfrom pathlib import Path\nimport matplotlib.pyplot as plt\nimport IPython\nfrom IPython.display import display\nfrom PIL import Image\n%matplotlib inline\nimport os","metadata":{"execution":{"iopub.status.busy":"2023-02-26T07:21:03.371689Z","iopub.execute_input":"2023-02-26T07:21:03.372093Z","iopub.status.idle":"2023-02-26T07:21:03.399871Z","shell.execute_reply.started":"2023-02-26T07:21:03.37206Z","shell.execute_reply":"2023-02-26T07:21:03.398117Z"},"trusted":true},"outputs":[],"execution_count":46},{"cell_type":"code","source":"import hashlib\n\ndef generate_image_hash(image_path):\n    with open(image_path, 'rb') as f:\n        image_bytes = f.read()\n        image_hash = hashlib.sha256(image_bytes).hexdigest()\n    return image_hash\n    \nhash_value = generate_image_hash('/kaggle/input/hash-proj/00dc34840.jpg')\nprint(hash_value)\nIPython.display.Image(filename='/kaggle/input/hash-proj/00dc34840.jpg') \n","metadata":{"execution":{"iopub.status.busy":"2023-02-26T07:21:37.296822Z","iopub.execute_input":"2023-02-26T07:21:37.297253Z","iopub.status.idle":"2023-02-26T07:21:37.315996Z","shell.execute_reply.started":"2023-02-26T07:21:37.297215Z","shell.execute_reply":"2023-02-26T07:21:37.31441Z"},"trusted":true},"outputs":[{"name":"stdout","text":"87bd84e79bb8d3d983499f25de8078c6f5ddb798d5d65d4823848548622cfe6d\n","output_type":"stream"},{"execution_count":48,"output_type":"execute_result","data":{"image/jpeg":"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\n","text/plain":"<IPython.core.display.Image object>"},"metadata":{}}],"execution_count":48},{"cell_type":"code","source":"import os\nimport numpy as np # linear algebra\nimport pandas as pd\nimport cv2\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom tqdm.notebook import tqdm_notebook as tqdm\nimport shutil\n","metadata":{"execution":{"iopub.status.busy":"2023-02-26T06:55:26.626786Z","iopub.execute_input":"2023-02-26T06:55:26.627193Z","iopub.status.idle":"2023-02-26T06:55:26.632915Z","shell.execute_reply.started":"2023-02-26T06:55:26.627158Z","shell.execute_reply":"2023-02-26T06:55:26.631831Z"},"trusted":true},"outputs":[],"execution_count":29},{"cell_type":"code","source":"ships = pd.read_csv(\"/kaggle/input/airbus-ship-detection/train_ship_segmentations_v2.csv\")\ntest_data = pd.read_csv(\"/kaggle/input/airbus-ship-detection/sample_submission_v2.csv\")\nships.head()","metadata":{"execution":{"iopub.status.busy":"2023-02-26T06:50:55.013743Z","iopub.execute_input":"2023-02-26T06:50:55.014432Z","iopub.status.idle":"2023-02-26T06:50:56.527457Z","shell.execute_reply.started":"2023-02-26T06:50:55.014381Z","shell.execute_reply":"2023-02-26T06:50:56.525019Z"},"trusted":true},"outputs":[{"execution_count":10,"output_type":"execute_result","data":{"text/plain":"         ImageId                                      EncodedPixels\n0  00003e153.jpg                                                NaN\n1  0001124c7.jpg                                                NaN\n2  000155de5.jpg  264661 17 265429 33 266197 33 266965 33 267733...\n3  000194a2d.jpg  360486 1 361252 4 362019 5 362785 8 363552 10 ...\n4  000194a2d.jpg  51834 9 52602 9 53370 9 54138 9 54906 9 55674 ...","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>ImageId</th>\n      <th>EncodedPixels</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>00003e153.jpg</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0001124c7.jpg</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>000155de5.jpg</td>\n      <td>264661 17 265429 33 266197 33 266965 33 267733...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>000194a2d.jpg</td>\n      <td>360486 1 361252 4 362019 5 362785 8 363552 10 ...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>000194a2d.jpg</td>\n      <td>51834 9 52602 9 53370 9 54138 9 54906 9 55674 ...</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}],"execution_count":10},{"cell_type":"code","source":"ships[\"Ship\"] = ships[\"EncodedPixels\"].map(lambda x:1 if isinstance(x,str) else 0)\nship_unique = ships[[\"ImageId\",\"Ship\"]].groupby(\"ImageId\").agg({\"Ship\":\"sum\"}).reset_index()\nship_unique.head()\n","metadata":{"execution":{"iopub.status.busy":"2023-02-26T06:51:05.283148Z","iopub.execute_input":"2023-02-26T06:51:05.283793Z","iopub.status.idle":"2023-02-26T06:51:05.622791Z","shell.execute_reply.started":"2023-02-26T06:51:05.28375Z","shell.execute_reply":"2023-02-26T06:51:05.6212Z"},"trusted":true},"outputs":[{"execution_count":11,"output_type":"execute_result","data":{"text/plain":"         ImageId  Ship\n0  00003e153.jpg     0\n1  0001124c7.jpg     0\n2  000155de5.jpg     1\n3  000194a2d.jpg     5\n4  0001b1832.jpg     0","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>ImageId</th>\n      <th>Ship</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>00003e153.jpg</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0001124c7.jpg</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>000155de5.jpg</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>000194a2d.jpg</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0001b1832.jpg</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}],"execution_count":11},{"cell_type":"code","source":"def rle2bbox(rle, shape):\n    \n    a = np.fromiter(rle.split(), dtype=np.uint)\n    a = a.reshape((-1, 2))  # an array of (start, length) pairs\n    a[:,0] -= 1  # `start` is 1-indexed\n    \n    y0 = a[:,0] % shape[0]\n    y1 = y0 + a[:,1]\n    if np.any(y1 > shape[0]):\n        # got `y` overrun, meaning that there are a pixels in mask on 0 and shape[0] position\n        y0 = 0\n        y1 = shape[0]\n    else:\n        y0 = np.min(y0)\n        y1 = np.max(y1)\n    \n    x0 = a[:,0] // shape[0]\n    x1 = (a[:,0] + a[:,1]) // shape[0]\n    x0 = np.min(x0)\n    x1 = np.max(x1)\n    \n    if x1 > shape[1]:\n        # just went out of the image dimensions\n        raise ValueError(\"invalid RLE or image dimensions: x1=%d > shape[1]=%d\" % (x1, shape[1]))\n\n    xc = (x0+x1)/(2*768)\n    yc = (y0+y1)/(2*768)\n    w = np.abs(x1-x0)/768\n    h = np.abs(y1-y0)/768\n    return [xc, yc, h, w]\n\n","metadata":{"execution":{"iopub.status.busy":"2023-02-26T06:56:04.320487Z","iopub.execute_input":"2023-02-26T06:56:04.320956Z","iopub.status.idle":"2023-02-26T06:56:04.332708Z","shell.execute_reply.started":"2023-02-26T06:56:04.320915Z","shell.execute_reply":"2023-02-26T06:56:04.331115Z"},"trusted":true},"outputs":[],"execution_count":33},{"cell_type":"code","source":"# Finding the Bounding boxes from encoded pixels Normalized\nships[\"Bbox\"] = ships[\"EncodedPixels\"].apply(lambda x:rle2bbox(x,(768,768)) if isinstance(x,str) else np.NaN)\nships.head()\n","metadata":{"execution":{"iopub.status.busy":"2023-02-26T06:58:11.029989Z","iopub.execute_input":"2023-02-26T06:58:11.030416Z","iopub.status.idle":"2023-02-26T06:58:11.092373Z","shell.execute_reply.started":"2023-02-26T06:58:11.030379Z","shell.execute_reply":"2023-02-26T06:58:11.090691Z"},"trusted":true},"outputs":[{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   3360\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3361\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3362\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/pandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/pandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n","\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n","\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n","\u001b[0;31mKeyError\u001b[0m: 'EncodedPixels'","\nThe above exception was the direct cause of the following exception:\n","\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_27/2381035747.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Finding the Bounding boxes from encoded pixels Normalized\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mships\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Bbox\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mships\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"EncodedPixels\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mrle2bbox\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m768\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m768\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNaN\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mships\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   3456\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3457\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3458\u001b[0;31m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3459\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3460\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   3361\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3362\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3363\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3364\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3365\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhasnans\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mKeyError\u001b[0m: 'EncodedPixels'"],"ename":"KeyError","evalue":"'EncodedPixels'","output_type":"error"}],"execution_count":36},{"cell_type":"code","source":"area = ships[ships.Ship>0]\n\nplt.figure(figsize = (12,5))\nplt.subplot(1,2,1)\nsns.boxplot(area[\"BboxArea\"])\nplt.title(\"Areas of Bounding boxes for ships\")\nplt.xscale(\"log\")\nplt.subplot(1,2,2)\nsns.distplot(area[\"BboxArea\"], bins=50)\nplt.xscale(\"log\")\nplt.title(\"Distribution of Bounding boxe area\")\nplt.tight_layout()","metadata":{"execution":{"iopub.status.busy":"2023-02-26T06:57:14.575227Z","iopub.execute_input":"2023-02-26T06:57:14.576446Z","iopub.status.idle":"2023-02-26T06:57:14.833461Z","shell.execute_reply.started":"2023-02-26T06:57:14.576393Z","shell.execute_reply":"2023-02-26T06:57:14.831695Z"},"trusted":true},"outputs":[{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   3360\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3361\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3362\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/pandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/pandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n","\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n","\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n","\u001b[0;31mKeyError\u001b[0m: 'BboxArea'","\nThe above exception was the direct cause of the following exception:\n","\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_27/1051569692.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m12\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0msns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mboxplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marea\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"BboxArea\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Areas of Bounding boxes for ships\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxscale\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"log\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   3456\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3457\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3458\u001b[0;31m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3459\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3460\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   3361\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3362\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3363\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3364\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3365\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhasnans\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mKeyError\u001b[0m: 'BboxArea'"],"ename":"KeyError","evalue":"'BboxArea'","output_type":"error"},{"output_type":"display_data","data":{"text/plain":"<Figure size 1200x500 with 1 Axes>","image/png":"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\n"},"metadata":{}}],"execution_count":35},{"cell_type":"code","source":"# Since the data set volumn is very high, we are downsampling to select 1000 images from each of the classes(Where more than 1000)\nbalanced_df = ship_unique.groupby(\"Ship\").apply(lambda x:x.sample(1000) if len(x)>=1000 else x.sample(len(x)))\nbalanced_df.reset_index(drop=True,inplace=True)\nbalanced_df[\"Ship\"].hist(bins=16)","metadata":{"execution":{"iopub.status.busy":"2023-02-26T06:58:54.38609Z","iopub.execute_input":"2023-02-26T06:58:54.386544Z","iopub.status.idle":"2023-02-26T06:58:54.69129Z","shell.execute_reply.started":"2023-02-26T06:58:54.386503Z","shell.execute_reply":"2023-02-26T06:58:54.689994Z"},"trusted":true},"outputs":[{"execution_count":39,"output_type":"execute_result","data":{"text/plain":"<AxesSubplot:>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAAAjEAAAGdCAYAAADjWSL8AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAmp0lEQVR4nO3df3RT933/8ZewZdnm2C42Bwk1JjjnuE2KaZvZCYtDCztgswzCejgrS0kIO2GdcyAkiiEESrOIZNiJe2q82QuZcziBA/PIHwtpttDEYs2ceG6KY+Im0BxYTx0HEjxtrWeb2JUV6+6PHOv7FeaXQbL8uX4+ztE5vR997tX7XVmXVz7SlRyWZVkCAAAwzLRkFwAAAHAtCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACOlJruARIlEIvr000+VlZUlh8OR7HIAAMBVsCxLAwMD8nq9mjbt8msttg0xn376qfLz85NdBgAAuAZnzpzRDTfccNk5tg0xWVlZkr74PyE7Ozuuxw6Hw2publZ5ebmcTmdcjz0Z0a+90a+90a/92a3n/v5+5efnR/8dvxzbhpjRt5Cys7MTEmIyMzOVnZ1tiz+YK6Ffe6Nfe6Nf+7Nrz1fzURA+2AsAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARhp3iHnrrbd09913y+v1yuFw6JVXXom537Is+f1+eb1eZWRkaPHixTp58mTMnFAopE2bNmnmzJmaPn26Vq5cqbNnz8bM6e3t1dq1a5WTk6OcnBytXbtW//u//zvuBgEAgD2NO8R89tln+sY3vqGGhoaL3l9TU6Pa2lo1NDSovb1dHo9HZWVlGhgYiM7x+Xw6fPiwDh06pNbWVp0/f14rVqzQyMhIdM6aNWvU2dmp119/Xa+//ro6Ozu1du3aa2gRAADY0bh/APKuu+7SXXfdddH7LMtSXV2dduzYoVWrVkmS9u/fL7fbraamJlVUVKivr0979+7VgQMHtHTpUknSwYMHlZ+fr6NHj2rZsmX68MMP9frrr+udd97RggULJEkvvPCC7rjjDp06dUpf/epXr7VfAABgE3H9Feuuri719PSovLw8OuZyubRo0SK1tbWpoqJCHR0dCofDMXO8Xq+KiorU1tamZcuW6ec//7lycnKiAUaS/vAP/1A5OTlqa2u7aIgJhUIKhULR7f7+fklf/LpnOByOZ5vR48X7uJMV/dob/dob/dqf3XoeTx9xDTE9PT2SJLfbHTPudrvV3d0dnZOWlqYZM2aMmTO6f09Pj2bNmjXm+LNmzYrOuVB1dbV27tw5Zry5uVmZmZnjb+YqBAKBhBx3sqJfe6Nfe6Nf+7NLz4ODg1c9N64hZpTD4YjZtixrzNiFLpxzsfmXO8727dtVWVkZ3e7v71d+fr7Ky8uVnZ09nvKvKBwOKxAI6Il3pykUuXxfduCaZunpkgj9XqcT/mVxO1Y8jf49l5WVyel0JruchKNfe5tq/Ur263n0nZSrEdcQ4/F4JH2xkjJ79uzoeDAYjK7OeDweDQ8Pq7e3N2Y1JhgMqrS0NDrnv/7rv8Yc/7//+7/HrPKMcrlccrlcY8adTmfCntRQxKHQiP3/UR9Fv9dnsp9cEvlamYzo196mWr+SfXoeTw9x/Z6YgoICeTyemCWt4eFhtbS0RANKcXGxnE5nzJxz587pxIkT0Tl33HGH+vr6dOzYseicX/ziF+rr64vOAQAAU9u4V2LOnz+vX//619Htrq4udXZ2Kjc3V3PmzJHP51NVVZUKCwtVWFioqqoqZWZmas2aNZKknJwcrV+/Xps3b1ZeXp5yc3O1ZcsWzZ8/P3q10i233KI//uM/1ve//339wz/8gyTpr/7qr7RixQquTAIAAJKuIcS8++67+qM/+qPo9ujnUNatW6d9+/Zp69atGhoa0oYNG9Tb26sFCxaoublZWVlZ0X12796t1NRUrV69WkNDQ1qyZIn27dunlJSU6Jx//Md/1MMPPxy9imnlypWX/G4aAAAw9Yw7xCxevFiWZV3yfofDIb/fL7/ff8k56enpqq+vV319/SXn5Obm6uDBg+MtDwAATBH8dhIAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGSk12AcBUMXfbaxP6eB89s3xCHw8AJhorMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjxT3EfP755/rhD3+ogoICZWRk6KabbtJTTz2lSCQSnWNZlvx+v7xerzIyMrR48WKdPHky5jihUEibNm3SzJkzNX36dK1cuVJnz56Nd7kAAMBQcQ8xzz77rJ5//nk1NDToww8/VE1NjX70ox+pvr4+Oqempka1tbVqaGhQe3u7PB6PysrKNDAwEJ3j8/l0+PBhHTp0SK2trTp//rxWrFihkZGReJcMAAAMlBrvA/785z/Xn/7pn2r58uWSpLlz5+qf/umf9O6770r6YhWmrq5OO3bs0KpVqyRJ+/fvl9vtVlNTkyoqKtTX16e9e/fqwIEDWrp0qSTp4MGDys/P19GjR7Vs2bJ4lw0AAAwT9xCzcOFCPf/88zp9+rS+8pWv6Je//KVaW1tVV1cnSerq6lJPT4/Ky8uj+7hcLi1atEhtbW2qqKhQR0eHwuFwzByv16uioiK1tbVdNMSEQiGFQqHodn9/vyQpHA4rHA7HtcfR47mmWXE97mQ12if9muVq/+5H58X7dTJZ0a+9TbV+Jfv1PJ4+4h5iHn/8cfX19enmm29WSkqKRkZGtGvXLn3ve9+TJPX09EiS3G53zH5ut1vd3d3ROWlpaZoxY8aYOaP7X6i6ulo7d+4cM97c3KzMzMzr7utini6JXHmSjdCvWY4cOTKu+YFAIEGVTE70a29TrV/JPj0PDg5e9dy4h5iXXnpJBw8eVFNTk+bNm6fOzk75fD55vV6tW7cuOs/hcMTsZ1nWmLELXW7O9u3bVVlZGd3u7+9Xfn6+ysvLlZ2dfR0djRUOhxUIBPTEu9MUily+ZjtwTbP0dEmEfg1zwn91b7uO/j2XlZXJ6XQmuKrko197m2r9SvbrefSdlKsR9xDz2GOPadu2bbrnnnskSfPnz1d3d7eqq6u1bt06eTweSV+stsyePTu6XzAYjK7OeDweDQ8Pq7e3N2Y1JhgMqrS09KKP63K55HK5xow7nc6EPamhiEOhEXP/kRsv+jXLeP/uE/lamYzo196mWr+SfXoeTw9xvzppcHBQ06bFHjYlJSV6iXVBQYE8Hk/Mstfw8LBaWlqiAaW4uFhOpzNmzrlz53TixIlLhhgAADC1xH0l5u6779auXbs0Z84czZs3T++9955qa2v1wAMPSPribSSfz6eqqioVFhaqsLBQVVVVyszM1Jo1ayRJOTk5Wr9+vTZv3qy8vDzl5uZqy5Ytmj9/fvRqJQAAMLXFPcTU19friSee0IYNGxQMBuX1elVRUaG//uu/js7ZunWrhoaGtGHDBvX29mrBggVqbm5WVlZWdM7u3buVmpqq1atXa2hoSEuWLNG+ffuUkpIS75IBAICB4h5isrKyVFdXF72k+mIcDof8fr/8fv8l56Snp6u+vj7mS/IAAABG8dtJAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMFJqsgsAkBhzt712VfNcKZZqbpeK/G8oNOK45sf76Jnl17wvAFwLVmIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARkpIiPnkk0903333KS8vT5mZmfrmN7+pjo6O6P2WZcnv98vr9SojI0OLFy/WyZMnY44RCoW0adMmzZw5U9OnT9fKlSt19uzZRJQLAAAMFPcQ09vbqzvvvFNOp1M//elP9atf/Uo//vGP9aUvfSk6p6amRrW1tWpoaFB7e7s8Ho/Kyso0MDAQnePz+XT48GEdOnRIra2tOn/+vFasWKGRkZF4lwwAAAyUGu8DPvvss8rPz9eLL74YHZs7d270f1uWpbq6Ou3YsUOrVq2SJO3fv19ut1tNTU2qqKhQX1+f9u7dqwMHDmjp0qWSpIMHDyo/P19Hjx7VsmXL4l02AAAwTNxDzKuvvqply5bpu9/9rlpaWvTlL39ZGzZs0Pe//31JUldXl3p6elReXh7dx+VyadGiRWpra1NFRYU6OjoUDodj5ni9XhUVFamtre2iISYUCikUCkW3+/v7JUnhcFjhcDiuPY4ezzXNiutxJ6vRPunXnuLVb7xfZ4kyWqcp9V4v+rU/u/U8nj7iHmJ+85vfaM+ePaqsrNQPfvADHTt2TA8//LBcLpfuv/9+9fT0SJLcbnfMfm63W93d3ZKknp4epaWlacaMGWPmjO5/oerqau3cuXPMeHNzszIzM+PR2hhPl0QSctzJin7t7Xr7PXLkSJwqmRiBQCDZJUwo+rU/u/Q8ODh41XPjHmIikYhKSkpUVVUlSbr11lt18uRJ7dmzR/fff390nsPhiNnPsqwxYxe63Jzt27ersrIyut3f36/8/HyVl5crOzv7Wtu5qHA4rEAgoCfenaZQ5PI124FrmqWnSyL0a1Px6veE34y3eUdfv2VlZXI6nckuJ+Ho1/7s1vPoOylXI+4hZvbs2fra174WM3bLLbfon//5nyVJHo9H0herLbNnz47OCQaD0dUZj8ej4eFh9fb2xqzGBINBlZaWXvRxXS6XXC7XmHGn05mwJzUUcSg0Yv9/5EbRr71db7+mnTwTeW6YjOjX/uzS83h6iPvVSXfeeadOnToVM3b69GndeOONkqSCggJ5PJ6YZa/h4WG1tLREA0pxcbGcTmfMnHPnzunEiROXDDEAAGBqiftKzKOPPqrS0lJVVVVp9erVOnbsmBobG9XY2Cjpi7eRfD6fqqqqVFhYqMLCQlVVVSkzM1Nr1qyRJOXk5Gj9+vXavHmz8vLylJubqy1btmj+/PnRq5UAAMDUFvcQc9ttt+nw4cPavn27nnrqKRUUFKiurk733ntvdM7WrVs1NDSkDRs2qLe3VwsWLFBzc7OysrKic3bv3q3U1FStXr1aQ0NDWrJkifbt26eUlJR4lwwAAAwU9xAjSStWrNCKFSsueb/D4ZDf75ff77/knPT0dNXX16u+vj4BFQIAANPx20kAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMFLCQ0x1dbUcDod8Pl90zLIs+f1+eb1eZWRkaPHixTp58mTMfqFQSJs2bdLMmTM1ffp0rVy5UmfPnk10uQAAwBAJDTHt7e1qbGzU17/+9Zjxmpoa1dbWqqGhQe3t7fJ4PCorK9PAwEB0js/n0+HDh3Xo0CG1trbq/PnzWrFihUZGRhJZMgAAMERqog58/vx53XvvvXrhhRf0N3/zN9Fxy7JUV1enHTt2aNWqVZKk/fv3y+12q6mpSRUVFerr69PevXt14MABLV26VJJ08OBB5efn6+jRo1q2bFmiygZwjeZue21CH++jZ5ZP6OMBmHwSFmI2btyo5cuXa+nSpTEhpqurSz09PSovL4+OuVwuLVq0SG1tbaqoqFBHR4fC4XDMHK/Xq6KiIrW1tV00xIRCIYVCoeh2f3+/JCkcDiscDse1t9HjuaZZcT3uZDXaJ/3ak6n9XuvrenS/eJ8XJiv6tT+79TyePhISYg4dOqTjx4+rvb19zH09PT2SJLfbHTPudrvV3d0dnZOWlqYZM2aMmTO6/4Wqq6u1c+fOMePNzc3KzMy8pj6u5OmSSEKOO1nRr72Z1u+RI0eua/9AIBCnSsxAv/Znl54HBwevem7cQ8yZM2f0yCOPqLm5Wenp6Zec53A4YrYtyxozdqHLzdm+fbsqKyuj2/39/crPz1d5ebmys7PH0cGVhcNhBQIBPfHuNIUil6/ZDlzTLD1dEqFfmzK13xP+a3tbefT1W1ZWJqfTGeeqJh/6tT+79Tz6TsrViHuI6ejoUDAYVHFxcXRsZGREb731lhoaGnTq1ClJX6y2zJ49OzonGAxGV2c8Ho+Gh4fV29sbsxoTDAZVWlp60cd1uVxyuVxjxp1OZ8Ke1FDEodCIOSf960W/9mZav9f7uk7kuWEyol/7s0vP4+kh7lcnLVmyRB988IE6Ozujt5KSEt17773q7OzUTTfdJI/HE7PsNTw8rJaWlmhAKS4ultPpjJlz7tw5nThx4pIhBgAATC1xX4nJyspSUVFRzNj06dOVl5cXHff5fKqqqlJhYaEKCwtVVVWlzMxMrVmzRpKUk5Oj9evXa/PmzcrLy1Nubq62bNmi+fPnR69WAgAAU1vCrk66nK1bt2poaEgbNmxQb2+vFixYoObmZmVlZUXn7N69W6mpqVq9erWGhoa0ZMkS7du3TykpKckoGQAATDITEmL+/d//PWbb4XDI7/fL7/dfcp/09HTV19ervr4+scUBAAAj8dtJAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARkpNdgEAcC3mbnvtmvZzpViquV0q8r+h0Ijjqvf76Jnl1/R4ABKHlRgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADBSarILAAATzN322oQ/5kfPLJ/wxwRMwkoMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABgp7iGmurpat912m7KysjRr1ix95zvf0alTp2LmWJYlv98vr9erjIwMLV68WCdPnoyZEwqFtGnTJs2cOVPTp0/XypUrdfbs2XiXCwAADBX3ENPS0qKNGzfqnXfeUSAQ0Oeff67y8nJ99tln0Tk1NTWqra1VQ0OD2tvb5fF4VFZWpoGBgegcn8+nw4cP69ChQ2ptbdX58+e1YsUKjYyMxLtkAABgoLj/AOTrr78es/3iiy9q1qxZ6ujo0Le//W1ZlqW6ujrt2LFDq1atkiTt379fbrdbTU1NqqioUF9fn/bu3asDBw5o6dKlkqSDBw8qPz9fR48e1bJly+JdNgAAMEzCf8W6r69PkpSbmytJ6urqUk9Pj8rLy6NzXC6XFi1apLa2NlVUVKijo0PhcDhmjtfrVVFRkdra2i4aYkKhkEKhUHS7v79fkhQOhxUOh+Pa0+jxXNOsuB53shrtk37tiX4nr3icu0aPEe/z4GQ11fqV7NfzePpIaIixLEuVlZVauHChioqKJEk9PT2SJLfbHTPX7Xaru7s7OictLU0zZswYM2d0/wtVV1dr586dY8abm5uVmZl53b1czNMlkYQcd7KiX3uj38nnyJEjcTtWIBCI27FMMNX6lezT8+Dg4FXPTWiIeeihh/T++++rtbV1zH0OhyNm27KsMWMXutyc7du3q7KyMrrd39+v/Px8lZeXKzs7+xqqv7RwOKxAIKAn3p2mUOTyNduBa5qlp0si9GtT9Dt5nfBf/1vno+ersrIyOZ3OOFQ1uU21fiX79Tz6TsrVSFiI2bRpk1599VW99dZbuuGGG6LjHo9H0herLbNnz46OB4PB6OqMx+PR8PCwent7Y1ZjgsGgSktLL/p4LpdLLpdrzLjT6UzYkxqKOBQamdwnwXiiX3uj38knnueuRJ4LJ6Op1q9kn57H00Pcr06yLEsPPfSQXn75Zf3sZz9TQUFBzP0FBQXyeDwxy17Dw8NqaWmJBpTi4mI5nc6YOefOndOJEycuGWIAAMDUEveVmI0bN6qpqUk/+clPlJWVFf0MS05OjjIyMuRwOOTz+VRVVaXCwkIVFhaqqqpKmZmZWrNmTXTu+vXrtXnzZuXl5Sk3N1dbtmzR/Pnzo1crAQCAqS3uIWbPnj2SpMWLF8eMv/jii/qLv/gLSdLWrVs1NDSkDRs2qLe3VwsWLFBzc7OysrKi83fv3q3U1FStXr1aQ0NDWrJkifbt26eUlJR4lwwAAAwU9xBjWVe+bNHhcMjv98vv919yTnp6uurr61VfXx/H6gAAgF3w20kAAMBIhBgAAGAkQgwAADASIQYAABgp4b+dBAC4NnO3vXbdx3ClWKq5XSryv3HFL/f76Jnl1/14wERiJQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBJfdgcAkBSfL9cbD75cD9eLlRgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACNxiTUAICkScUm3K8VSze1Skf8NhUYcMfdxSbf9sBIDAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGCk12QUAADAR5m57LdklJIQrxVLN7cmuIjlYiQEAAEYixAAAACPxdhIAADZQ5H9DoRHHhD7mR88sn9DHuxArMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGCkSR9innvuORUUFCg9PV3FxcV6++23k10SAACYBCZ1iHnppZfk8/m0Y8cOvffee/rWt76lu+66Sx9//HGySwMAAEk2qUNMbW2t1q9fr7/8y7/ULbfcorq6OuXn52vPnj3JLg0AACRZarILuJTh4WF1dHRo27ZtMePl5eVqa2sbMz8UCikUCkW3+/r6JEm/+93vFA6H41pbOBzW4OCgUsPTNBJxxPXYk1FqxNLgYIR+bYp+7Y1+7S+ZPf/2t7+N+zEHBgYkSZZlXXmyNUl98sknliTrP/7jP2LGd+3aZX3lK18ZM//JJ5+0JHHjxo0bN27cbHA7c+bMFbPCpF2JGeVwxKZKy7LGjEnS9u3bVVlZGd2ORCL63e9+p7y8vIvOvx79/f3Kz8/XmTNnlJ2dHddjT0b0a2/0a2/0a39269myLA0MDMjr9V5x7qQNMTNnzlRKSop6enpixoPBoNxu95j5LpdLLpcrZuxLX/pSIktUdna2Lf5grhb92hv92hv92p+des7JybmqeZP2g71paWkqLi5WIBCIGQ8EAiotLU1SVQAAYLKYtCsxklRZWam1a9eqpKREd9xxhxobG/Xxxx/rwQcfTHZpAAAgySZ1iPnzP/9z/fa3v9VTTz2lc+fOqaioSEeOHNGNN96Y1LpcLpeefPLJMW9f2RX92hv92hv92t9U7HmUw7Ku5homAACAyWXSfiYGAADgcggxAADASIQYAABgJEIMAAAwEiFmnJ577jkVFBQoPT1dxcXFevvtt5NdUkJUV1frtttuU1ZWlmbNmqXvfOc7OnXqVLLLmjDV1dVyOBzy+XzJLiWhPvnkE913333Ky8tTZmamvvnNb6qjoyPZZSXE559/rh/+8IcqKChQRkaGbrrpJj311FOKRCLJLi0u3nrrLd19993yer1yOBx65ZVXYu63LEt+v19er1cZGRlavHixTp48mZxi4+By/YbDYT3++OOaP3++pk+fLq/Xq/vvv1+ffvpp8gq+Tld6fv9/FRUVcjgcqqurm7D6koUQMw4vvfSSfD6fduzYoffee0/f+ta3dNddd+njjz9Odmlx19LSoo0bN+qdd95RIBDQ559/rvLycn322WfJLi3h2tvb1djYqK9//evJLiWhent7deedd8rpdOqnP/2pfvWrX+nHP/5xwr/pOlmeffZZPf/882poaNCHH36ompoa/ehHP1J9fX2yS4uLzz77TN/4xjfU0NBw0ftrampUW1urhoYGtbe3y+PxqKysLPpje6a5XL+Dg4M6fvy4nnjiCR0/flwvv/yyTp8+rZUrVyah0vi40vM76pVXXtEvfvGLq/rKfluIx481ThW333679eCDD8aM3Xzzzda2bduSVNHECQaDliSrpaUl2aUk1MDAgFVYWGgFAgFr0aJF1iOPPJLskhLm8ccftxYuXJjsMibM8uXLrQceeCBmbNWqVdZ9992XpIoSR5J1+PDh6HYkErE8Ho/1zDPPRMd+//vfWzk5Odbzzz+fhArj68J+L+bYsWOWJKu7u3tiikqgS/V79uxZ68tf/rJ14sQJ68Ybb7R279494bVNNFZirtLw8LA6OjpUXl4eM15eXq62trYkVTVx+vr6JEm5ublJriSxNm7cqOXLl2vp0qXJLiXhXn31VZWUlOi73/2uZs2apVtvvVUvvPBCsstKmIULF+rf/u3fdPr0aUnSL3/5S7W2tupP/uRPklxZ4nV1damnpyfm/OVyubRo0aIpcf6SvjiHORwO2640RiIRrV27Vo899pjmzZuX7HImzKT+xt7J5H/+5380MjIy5scn3W73mB+ptBvLslRZWamFCxeqqKgo2eUkzKFDh3T8+HG1t7cnu5QJ8Zvf/EZ79uxRZWWlfvCDH+jYsWN6+OGH5XK5dP/99ye7vLh7/PHH1dfXp5tvvlkpKSkaGRnRrl279L3vfS/ZpSXc6DnqYuev7u7uZJQ0oX7/+99r27ZtWrNmjW1+IPFCzz77rFJTU/Xwww8nu5QJRYgZJ4fDEbNtWdaYMbt56KGH9P7776u1tTXZpSTMmTNn9Mgjj6i5uVnp6enJLmdCRCIRlZSUqKqqSpJ066236uTJk9qzZ48tQ8xLL72kgwcPqqmpSfPmzVNnZ6d8Pp+8Xq/WrVuX7PImxFQ8f4XDYd1zzz2KRCJ67rnnkl1OQnR0dOhv//Zvdfz4cds/nxfi7aSrNHPmTKWkpIxZdQkGg2P+68ZONm3apFdffVVvvvmmbrjhhmSXkzAdHR0KBoMqLi5WamqqUlNT1dLSor/7u79TamqqRkZGkl1i3M2ePVtf+9rXYsZuueUWW35QXZIee+wxbdu2Tffcc4/mz5+vtWvX6tFHH1V1dXWyS0s4j8cjSVPu/BUOh7V69Wp1dXUpEAjYdhXm7bffVjAY1Jw5c6Lnr+7ubm3evFlz585NdnkJRYi5SmlpaSouLlYgEIgZDwQCKi0tTVJViWNZlh566CG9/PLL+tnPfqaCgoJkl5RQS5Ys0QcffKDOzs7oraSkRPfee686OzuVkpKS7BLj7s477xxz2fzp06eT/gOriTI4OKhp02JPeSkpKba5xPpyCgoK5PF4Ys5fw8PDamlpseX5S/p/AeY///M/dfToUeXl5SW7pIRZu3at3n///Zjzl9fr1WOPPaY33ngj2eUlFG8njUNlZaXWrl2rkpIS3XHHHWpsbNTHH3+sBx98MNmlxd3GjRvV1NSkn/zkJ8rKyor+F1xOTo4yMjKSXF38ZWVljfm8z/Tp05WXl2fbzwE9+uijKi0tVVVVlVavXq1jx46psbFRjY2NyS4tIe6++27t2rVLc+bM0bx58/Tee++ptrZWDzzwQLJLi4vz58/r17/+dXS7q6tLnZ2dys3N1Zw5c+Tz+VRVVaXCwkIVFhaqqqpKmZmZWrNmTRKrvnaX69fr9erP/uzPdPz4cf3rv/6rRkZGouew3NxcpaWlJavsa3al5/fCkOZ0OuXxePTVr351okudWMm9OMo8f//3f2/deOONVlpamvUHf/AHtr3kWNJFby+++GKyS5swdr/E2rIs61/+5V+soqIiy+VyWTfffLPV2NiY7JISpr+/33rkkUesOXPmWOnp6dZNN91k7dixwwqFQskuLS7efPPNi75m161bZ1nWF5dZP/nkk5bH47FcLpf17W9/2/rggw+SW/R1uFy/XV1dlzyHvfnmm8ku/Zpc6fm90FS5xNphWZY1QXkJAAAgbvhMDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABG+j+UYJkyqVlMrwAAAABJRU5ErkJggg==\n"},"metadata":{}}],"execution_count":39},{"cell_type":"code","source":"# Creating dataframe for Bounding boxes for the images in Balanced_df\nbalanced_bbox = ships.merge(balanced_df[[\"ImageId\"]], how =\"inner\", on = \"ImageId\")\nbalanced_bbox.head()","metadata":{"execution":{"iopub.status.busy":"2023-02-26T06:58:58.916624Z","iopub.execute_input":"2023-02-26T06:58:58.917093Z","iopub.status.idle":"2023-02-26T06:58:59.042157Z","shell.execute_reply.started":"2023-02-26T06:58:58.917054Z","shell.execute_reply":"2023-02-26T06:58:59.040934Z"},"trusted":true},"outputs":[{"execution_count":40,"output_type":"execute_result","data":{"text/plain":"         ImageId  Ship\n0  000194a2d.jpg     1\n1  000194a2d.jpg     1\n2  000194a2d.jpg     1\n3  000194a2d.jpg     1\n4  000194a2d.jpg     1","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>ImageId</th>\n      <th>Ship</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>000194a2d.jpg</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>000194a2d.jpg</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>000194a2d.jpg</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>000194a2d.jpg</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>000194a2d.jpg</td>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}],"execution_count":40},{"cell_type":"code","source":"path =\"/kaggle/input/hash-proj/00dc34840.jpg\"\nplt.figure(figsize =(20,20))\nfor i in range(15):\n    imageid = balanced_df[balanced_df.Ship ==i].iloc[0][0]\n    image = np.array(cv2.imread(path+imageid)[:,:,::-1])\n    if i>0:\n        bbox = balanced_bbox[balanced_bbox.ImageId==imageid][\"Bbox\"]\n        \n        for items in bbox:\n            Xmin  = int((items[0]-items[3]/2)*768)\n            Ymin  = int((items[1]-items[2]/2)*768)\n            Xmax  = int((items[0]+items[3]/2)*768)\n            Ymax  = int((items[1]+items[2]/2)*768)\n            cv2.rectangle(image,\n                          (Xmin,Ymin),\n                          (Xmax,Ymax),\n                          (255,0,0),\n                          thickness = 2)\n    plt.subplot(4,4,i+1)\n    plt.imshow(image)\n    plt.title(\"No of ships = {}\".format(i))","metadata":{"execution":{"iopub.status.busy":"2023-02-26T07:00:10.646998Z","iopub.execute_input":"2023-02-26T07:00:10.648315Z","iopub.status.idle":"2023-02-26T07:00:10.681968Z","shell.execute_reply.started":"2023-02-26T07:00:10.648268Z","shell.execute_reply":"2023-02-26T07:00:10.680388Z"},"trusted":true},"outputs":[{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_27/3266112456.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0mimageid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbalanced_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mbalanced_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mShip\u001b[0m \u001b[0;34m==\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m     \u001b[0mimage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mimageid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0mbbox\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbalanced_bbox\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mbalanced_bbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImageId\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0mimageid\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Bbox\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable"],"ename":"TypeError","evalue":"'NoneType' object is not subscriptable","output_type":"error"},{"output_type":"display_data","data":{"text/plain":"<Figure size 2000x2000 with 0 Axes>"},"metadata":{}}],"execution_count":44}]}