BorderPixels2Numpy.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pydicom as dicom\n",
    "import numpy as np\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def isBoarder(i,j,val,num):\n",
    "    if num[i,j]==val and sum(sum(num[i-1:i+2,j-1:j+2]==val))<9:\n",
    "        isBoarder=True\n",
    "    else:\n",
    "        isBoarder=False\n",
    "    return isBoarder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def BorderPixels2NumpyArray(path,file_name,region_number):\n",
    "    ds = dicom.read_file(path+'mask/'+file_name, force=True)\n",
    "    num=ds.pixel_array\n",
    "    \n",
    "    (bi,bj)=num.shape\n",
    "    \n",
    "    # Find Border pixels of each region\n",
    "    #for region_number in range(2):\n",
    "    val=region_number\n",
    "    fi=-1\n",
    "    fj=-1\n",
    "    sw=False\n",
    "    for i in range(bi):\n",
    "        if sw:\n",
    "            break\n",
    "        for j in range(bj):\n",
    "            if num[i,j]==val:\n",
    "                fi=i\n",
    "                fj=j\n",
    "                print(i,j,num[i,j])\n",
    "                sw=True\n",
    "                break\n",
    "    i=fi\n",
    "    j=fj\n",
    "    print(i,j,num[i,j])\n",
    "\n",
    "    # Create numpy array of borders cordinations \n",
    "    meet=np.ones(num.shape)\n",
    "    li=i\n",
    "    lj=j\n",
    "    meet[i,j]=0\n",
    "    borders=[]\n",
    "    a=1\n",
    "    while a<2000:\n",
    "        borders.append([i,j])\n",
    "        i=li\n",
    "        j=lj\n",
    "        a=a+1\n",
    "        #print(a)\n",
    "        if num[i+1,j]==val and isBoarder(i+1,j,val,num) and meet[i+1,j]:\n",
    "            li=i+1\n",
    "            lj=j\n",
    "            #print(li,lj,num[li,lj])\n",
    "            meet[li,lj]=0\n",
    "\n",
    "        elif num[i+1,j+1]==val and isBoarder(i+1,j+1,val,num) and meet[i+1,j+1]:\n",
    "            li=i+1\n",
    "            lj=j+1\n",
    "            #print(li,lj,num[li,lj])\n",
    "            meet[li,lj]=0\n",
    "        elif num[i,j+1]==val and isBoarder(i,j+1,val,num)and meet[i,j+1]:\n",
    "            li=i\n",
    "            lj=j+1\n",
    "            #print(li,lj,num[li,lj])\n",
    "            meet[li,lj]=0\n",
    "        elif num[i-1,j+1]==val and isBoarder(i-1,j+1,val,num)and meet[i-1,j+1]:\n",
    "            li=i-1\n",
    "            lj=j+1\n",
    "            #print(li,lj,num[li,lj])\n",
    "            meet[li,lj]=0\n",
    "\n",
    "        elif num[i-1,j]==val and isBoarder(i-1,j,val,num)and meet[i-1,j]:\n",
    "            li=i-1\n",
    "            lj=j\n",
    "            #print(li,lj,num[li,lj])\n",
    "            meet[li,lj]=0\n",
    "\n",
    "        elif num[i+1,j-1]==val and isBoarder(i+1,j-1,val,num)and meet[i+1,j-1]:\n",
    "            li=i+1\n",
    "            lj=j-1\n",
    "            #print(li,lj,num[li,lj])\n",
    "            meet[li,lj]=0\n",
    "        elif num[i,j-1]==val and isBoarder(i,j-1,val,num)and meet[i,j-1]:\n",
    "            li=i\n",
    "            lj=j-1\n",
    "            #print(li,lj,num[li,lj])\n",
    "            meet[li,lj]=0\n",
    "        elif num[i-1,j-1]==val and isBoarder(i-1,j-1,val,num)and meet[i-1,j-1]:\n",
    "            li=i-1\n",
    "            lj=j-1\n",
    "            #print(li,lj,num[li,lj])\n",
    "            meet[li,lj]=0\n",
    "        if (li==i and lj==j):\n",
    "            break\n",
    "    borders.append([fi,fj])\n",
    "\n",
    "    # Shapenning borders pixels \n",
    "    for t in range(len(borders)):\n",
    "        #print(t,borders[t])\n",
    "        i=borders[t][0]\n",
    "        j=borders[t][1]\n",
    "        num[i,j]=100\n",
    "    print(borders)\n",
    "    file_name=file_name.replace('mask-','') \n",
    "    np.save(path+ 'borders/Border'+str(val)+'-'+file_name.replace('Mask-','') +'.npy', borders)\n",
    "    "
   ]
  },
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      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-20-6ll117.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-3-6lk9li.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-107-6m40ph.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-85-6m2wnz.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-63-6m1hi2.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-8-6lkcka.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-113-6m4reh.png\n",
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      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-91-6m2af5.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-101-6m45wc.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-132-6m4ud9.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-87-6m4ofp.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-48-6lmx93.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-43-6lmssx.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-31-6lm7as.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-80-6m1nfm.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-89-6m28xr.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-114-6m41g6.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-70-6m2872.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-126-6m5zw5.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-47-6lmtjm.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-118-6m5bf8.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-58-6m0v98.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-78-6m1ly8.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-1-6lk844.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-38-6lms28.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-18-6lkzjt.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-73-6m2qqf.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-49-6lmv10.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-12-6lky2f.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-130-6m4tmk.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-76-6m1kgu.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-117-6m42xk.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-17-6lkvuc.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-46-6lmwie.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-74-6m1izg.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-81-6m2v6l.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-104-6m3jni.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-103-6m47dq.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-10-6lke1o.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-7-6lkb2w.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-27-6llo0q.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-77-6m2tp7.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-65-6m0y80.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-35-6lm9iv.png\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-120-6m455n.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-4-6lkac7.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-135-6m5dnb.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-88-6m2xeo.dcm\n",
      "Mask-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-42-6lm81h.dcm\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-127-6m4qns.png\n",
      "Text-1.2.826.0.1.3680043.9.3218.1.1.1872364.1022.1591771672055.7043.0-3-15-6lkesd.png\n"
     ]
    }
   ],
   "source": [
    "path='/Users/Alireza/Desktop/Datasets/covid4237/'\n",
    "files = os.listdir(path+'mask')\n",
    "for name in files:\n",
    "    print(name)\n",
    "    if name.find('.dcm')>=0:\n",
    "        BorderPixels2NumpyArray(path,name,1)\n",
    "        BorderPixels2NumpyArray(path,name,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n"
     ]
    }
   ],
   "source": [
    "for i in range(2):\n",
    "    print(i+1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'FileMetaDataset' object has no attribute 'TransferSyntaxUID'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-40558a2c0769>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mBorderPixels2NumpyArray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/Users/Alireza/Desktop/'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'pil_text_font.png'\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[0m",
      "\u001b[0;32m<ipython-input-4-9382d8fce6c4>\u001b[0m in \u001b[0;36mBorderPixels2NumpyArray\u001b[0;34m(path, file_name, region_number)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mBorderPixels2NumpyArray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mfile_name\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mregion_number\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      2\u001b[0m     \u001b[0mds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdicom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;34m'mask/'\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mfile_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforce\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0mnum\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpixel_array\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0;34m(\u001b[0m\u001b[0mbi\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mbj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnum\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/pydicom/dataset.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m    833\u001b[0m             \u001b[0;32mreturn\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    834\u001b[0m         \u001b[0;31m# Try the base class attribute getter (fix for issue 332)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 835\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\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    836\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    837\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/pydicom/dataset.py\u001b[0m in \u001b[0;36mpixel_array\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1714\u001b[0m             \u001b[0;34m:\u001b[0m\u001b[0;32mclass\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1715\u001b[0m         \"\"\"\n\u001b[0;32m-> 1716\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert_pixel_data\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   1717\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_pixel_array\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1718\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/pydicom/dataset.py\u001b[0m in \u001b[0;36mconvert_pixel_data\u001b[0;34m(self, handler_name)\u001b[0m\n\u001b[1;32m   1433\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_convert_pixel_data_using_handler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhandler_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1434\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1435\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_convert_pixel_data_without_handler\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   1436\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1437\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_convert_pixel_data_using_handler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/pydicom/dataset.py\u001b[0m in \u001b[0;36m_convert_pixel_data_without_handler\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1476\u001b[0m         \"\"\"\n\u001b[1;32m   1477\u001b[0m         \u001b[0;31m# Find all possible handlers that support the transfer syntax\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1478\u001b[0;31m         \u001b[0mtransfer_syntax\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfile_meta\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTransferSyntaxUID\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1479\u001b[0m         possible_handlers = [\n\u001b[1;32m   1480\u001b[0m             \u001b[0mhh\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mhh\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mpydicom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpixel_data_handlers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/lib/python3.8/site-packages/pydicom/dataset.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m    833\u001b[0m             \u001b[0;32mreturn\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    834\u001b[0m         \u001b[0;31m# Try the base class attribute getter (fix for issue 332)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 835\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\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    836\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    837\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'FileMetaDataset' object has no attribute 'TransferSyntaxUID'"
     ]
    }
   ],
   "source": [
    "BorderPixels2NumpyArray('/Users/Alireza/Desktop/','pil_text_font.png',1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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