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" inflating: train/51_Dresses_wearingdress_51_168.xml \n", " inflating: train/51_Dresses_wearingdress_51_165.xml \n", " inflating: train/51_Dresses_wearingdress_51_164.xml \n", " inflating: train/51_Dresses_wearingdress_51_162.xml \n", " inflating: train/51_Dresses_wearingdress_51_143.xml \n", " inflating: train/51_Dresses_wearingdress_51_137.xml \n", " inflating: train/51_Dresses_wearingdress_51_133.xml \n", " inflating: train/51_Dresses_wearingdress_51_131.xml \n", " inflating: train/51_Dresses_wearingdress_51_130.xml \n", " inflating: train/51_Dresses_wearingdress_51_126.xml \n", " inflating: train/51_Dresses_wearingdress_51_1037.xml \n", " inflating: train/51_Dresses_wearingdress_51_1036.xml \n", " inflating: train/51_Dresses_wearingdress_51_1030.xml \n", " inflating: train/51_Dresses_wearingdress_51_1023.xml \n", " inflating: train/51_Dresses_wearingdress_51_1009.xml \n", " inflating: train/51_Dresses_wearingdress_51_1003.xml \n", " inflating: 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" inflating: train/51_Dresses_wearingdress_51_404.xml \n", " inflating: train/51_Dresses_wearingdress_51_402.xml \n", " inflating: train/51_Dresses_wearingdress_51_40.xml \n", " inflating: train/51_Dresses_wearingdress_51_397.xml \n", " inflating: train/51_Dresses_wearingdress_51_392.xml \n", " inflating: train/51_Dresses_wearingdress_51_390.xml \n", " inflating: train/51_Dresses_wearingdress_51_381.xml \n", " inflating: train/51_Dresses_wearingdress_51_375.xml \n", " inflating: train/51_Dresses_wearingdress_51_370.xml \n", " inflating: train/51_Dresses_wearingdress_51_368.xml \n", " inflating: train/51_Dresses_wearingdress_51_364.xml \n", " inflating: train/52_Photographers_photographertakingphoto_52_467.xml \n", " inflating: train/52_Photographers_photographertakingphoto_52_464.xml \n", " inflating: train/52_Photographers_photographertakingphoto_52_42.xml \n", " inflating: train/52_Photographers_photographertakingphoto_52_394.xml \n", " inflating: 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"base_uri": "https://localhost:8080/" }, "outputId": "a5352465-b2e7-4008-d363-bf186f610759" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "49" ] }, "metadata": {}, "execution_count": 6 } ], "source": [ "import csv\n", "f = open('FaceMaskDataset_detr.csv', 'w')\n", "header = ['filename', 'class','width','height','xmin','ymin','xmax','ymax']\n", "writer = csv.writer(f)\n", "writer.writerow(header)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "id": "xopVdrW-wQyn" }, "outputs": [], "source": [ "for i in os.listdir(\"/content/train\"):\n", " #for j in os.listdir(\"duc2002extracts(1)/\"+str(i)):\n", " \n", " if (i[-3:] == \"xml\"):\n", " clas=[]\n", " xmin=[]\n", " xmax=[]\n", " ymin=[]\n", " ymax=[]\n", " tree = ET.parse(\"/content/train/\"+str(i))\n", " root = tree.getroot()\n", " for name in root.findall(\".//filename\"):\n", " path =name.text\n", " \n", " for width in root.findall(\".//size/width\"):\n", " width=width.text\n", " for height in root.findall(\".//size/height\"):\n", " height=height.text\n", " for obj in root.findall(\".//object\"):\n", " clas.append(obj.find('name').text)\n", " for bndx in obj.findall('.//bndbox'):\n", " xmin.append(bndx.findtext('xmin'))\n", " xmax.append(bndx.findtext('xmax'))\n", " ymin.append(bndx.findtext('ymin'))\n", " ymax.append(bndx.findtext('ymax'))\n", " for loo in range(len(clas)):\n", " if(path[-3:]=='xml'):\n", " break\n", " data = ['/content/train/'+str(path), 'face', width,height,xmin[loo],ymin[loo],xmax[loo],ymax[loo]]\n", " #data = ['/content/train/'+str(path), 'face', width,height,xmin[loo],ymin[loo],xmax[loo],ymax[loo]]\n", " writer.writerow(data)\n", " \n", "for i in os.listdir(\"/content/val\"):\n", " #for j in os.listdir(\"duc2002extracts(1)/\"+str(i)):\n", " if (i[-3:] == \"xml\"):\n", " clas=[]\n", " xmin=[]\n", " xmax=[]\n", " ymin=[]\n", " ymax=[]\n", " tree = ET.parse(\"/content/val/\"+str(i))\n", " root = tree.getroot()\n", " for name in root.findall(\".//filename\"):\n", " path =name.text\n", " for width in root.findall(\".//size/width\"):\n", " width=width.text\n", " for height in root.findall(\".//size/height\"):\n", " height=height.text\n", " for obj in root.findall(\".//object\"):\n", " clas.append(obj.find('name').text)\n", " for bndx in obj.findall('.//bndbox'):\n", " xmin.append(bndx.findtext('xmin'))\n", " xmax.append(bndx.findtext('xmax'))\n", " ymin.append(bndx.findtext('ymin'))\n", " ymax.append(bndx.findtext('ymax'))\n", " for loo in range(len(clas)):\n", " if(path[-3:]=='xml'):\n", " break\n", " data = ['/content/val/'+str(path),'face', width,height,xmin[loo],ymin[loo],xmax[loo],ymax[loo]]\n", " #data = ['/content/val/'+str(path), 'face', width,height,xmin[loo],ymin[loo],xmax[loo],ymax[loo]]\n", " writer.writerow(data)\n", " \n", "\n", " " ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "id": "RUzEOn5g1cty", "colab": { "base_uri": "https://localhost:8080/", "height": 423 }, "outputId": "749a1a1e-793a-4f11-842b-4b938d24ab8b" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " filename class width height \\\n", "0 /content/train/4_Dancing_Dancing_4_962.jpg face 1024 1024 \n", "1 /content/train/16_Award_Ceremony_Awards_Ceremo... face 1024 1474 \n", "2 /content/train/16_Award_Ceremony_Awards_Ceremo... face 1024 1474 \n", "3 /content/train/16_Award_Ceremony_Awards_Ceremo... face 1024 1474 \n", "4 /content/train/32_Worker_Laborer_Worker_Labore... face 1024 676 \n", "... ... ... ... ... \n", "15251 /content/val/20_Family_Group_Family_Group_20_1... face 1024 710 \n", "15252 /content/val/20_Family_Group_Family_Group_20_1... face 1024 710 \n", "15253 /content/val/20_Family_Group_Family_Group_20_1... face 1024 710 \n", "15254 /content/val/20_Family_Group_Family_Group_20_1... face 1024 710 \n", "15255 /content/val/20_Family_Group_Family_Group_20_1... face 1024 710 \n", "\n", " xmin ymin xmax ymax \n", "0 354 220 582 502 \n", "1 461 134 579 280 \n", "2 879 288 901 323 \n", "3 992 270 1015 304 \n", "4 626 18 1024 480 \n", "... ... ... ... ... \n", "15251 971 60 1018 116 \n", "15252 894 293 945 353 \n", "15253 784 274 827 330 \n", "15254 667 260 709 318 \n", "15255 562 247 601 292 \n", "\n", "[15256 rows x 8 columns]" ], "text/html": [ "\n", "
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