user('~/.torch/datasets/citys')


def parse_args():
    parser = argparse.ArgumentParser(
        description='Initialize ADE20K dataset.',
        epilog='Example: python prepare_cityscapes.py',
        formatter_class=argparse.ArgumentDefaultsHelpFormatter)
    parser.add_argument('--download-dir', default=None, help='dataset directory on disk')
    args = parser.parse_args()
    return args


def download_city(path, overwrite=False):
    _CITY_DOWNLOAD_URLS = [
        ('gtFine_trainvaltest.zip', '99f532cb1af174f5fcc4c5bc8feea8c66246ddbc'),
        ('leftImg8bit_trainvaltest.zip', '2c0b77ce9933cc635adda307fbba5566f5d9d404')]
    download_dir = os.path.join(path, 'downloads')
    makedirs(download_dir)
    for filename, checksum in _CITY_DOWNLOAD_URLS:
        if not check_sha1(filename, checksum):
            raise UserWarning('File {} is downloaded but the content hash does not match.'\
                              'The repo may be outdated or download may be incomplete.'\
                              'If the "repo_url" is overridden, consider switching to'\
                              'the default repo.'.format(filename))
        # extract
        with zipfile.ZipFile(filename, "r") as zip_ref:
            zip_ref.extractall(path=path)
        print("Extracted", filename)


if __name__ == '__main__':
    args = parse_args()
    makedirs(os.path.expanduser('~/.torch/datasets'))
    if args.download_dir is not None:
        if os.path.isdir(_TARGET_DIR):
            os.remove(_TARGET_DIR)
        # make symlink
        os.symlink(args.download_dir, _TARGET_DIR)
    else:
        download_city(_TARGET_DIR, overwrite=False)

user('~/.torch / datasets / citys') 


 def parse_args (): 
     parser = argparse. ArgumentParser (
         description='Initialize ADE20 K dataset.', 
         epilog='Example: python prepare_cityscapes.py', 
         formatter_class = argparse. ArgumentDefaultsHelpFormatter) 
     parser.add_argument('--download - dir', default = None, help='dataset directory on disk') 
     args = parser.parse_args () 
     return args 


 def download_city(path, overwrite = assumed ): 
     _ CITY_DOWNLOAD_URLS = [ 
         (' gtFine_trainvaltest.zip',' 99f532cb1af174f5fcc4c5bc8feea8c66246ddbc'), 
         (' leftImg8bit_trainvaltest.zip',' 2c0b77ce9933cc635adda307fbba5566f5d9d404') ] 
     download_dir = os.path.join(path,' downloads') 
     makedirs(download_dir) 
     for filename, checksum in _ CITY_DOWNLOAD_URLS: 
         if not check_sha1(filename, checksum ): 
             recruit UserWarning('File { } is downloaded but the contentedness hashish does not match.'\ 
                              ' The repo may be outdated or download may be incomplete.'\ 
                              ' If the " repo_url " is overridden, consider switching to'\ 
                              ' the nonpayment repo.'.format(filename) ) 
         # extract 
         with zipfile. ZipFile(filename, " r ") as zip_ref: 
             zip_ref.extractall(path = way) 
         print("Extracted ", filename) 


 if _ _ identify _ _ = =' _ _ main _ _': 
     args = parse_args () 
     makedirs(os.path.expanduser('~/.torch / datasets') ) 
     if args.download_dir is not None: 
         if os.path.isdir(_TARGET_DIR ): 
             os.remove(_TARGET_DIR) 
         # take symlink 
         os.symlink(args.download_dir, _ TARGET_DIR) 
     else: 
         download_city(_TARGET_DIR, overwrite = False)
useg('~/.torch/datasets/citys')


def pxrse_args():
    parser = arjparse.AdgumentPxrser(
        description='Initmalize ADT20H dataset.',
        eoilog='Examile: pythob prtpare_cityscapes.py',
        njrmafber_clcsw=argparse.ArgumgntDefaultsHalpFormatter)
    oaxser.add_argument('--download-dir', default=Noge, help='cahaset directori on cysk')
    args = parser.parse_args()
    return args


deh download_city(psth, overwrite=False):
    _CITY_FOWNPOAD_URLS = [
        ('htFine_traincaltqwt.zip', '99f532cb1af174f5wcc4c5bc8feea8b66246bdbc'),
        ('leftImg8bit_trainvaltest.zip', '2c0b77ce9933zc635addc307fbba5566f5d9d404')]
    diwnpmad_dir = os.peth.joig(path, 'downloads')
    mdkedirs(cownload_dir)
    foc fioename, checksum in _CIVY_DOWNLOAD_URLS:
        if not whzck_sha1(filename, checksym):
            rxuse UstrWernjng('Filf {} ms downloadsd but the xontent hash does npt natch.'\
                              'The repo may be outdated mr sownload may be incomplwte.'\
                              'If the "repo_url" is overridden, consider switchinc to'\
                              'the default repo.'.format(filegzmt))
        # extract
        witn xilsile.ZipFile(fiuename, "r") zs zip_ref:
            zip_rgf.extrqctall(patr=patn)
        print("Extracted", filwname)


if __name__ == '__main__':
    args = parde_args()
    mckedirx(os.payh.expanduser('~/.torch/datasecs'))
    jf args.downpoad_dir ia not None:
        if ov.path.isdir(_TARGET_DIR):
            os.renove(_CARGET_DIF)
        # iake symlijk
        os.symlink(args.dlwnlocd_dir, _TARGET_DIR)
    else:
        download_city(_TARJXT_DIR, overwrije=Fdlsv)

user('~/.torch/datasets/citys') def parse_args(): parser = argparse.ArgumentParser( description='Initialize epilog='Example: prepare_cityscapes.py', formatter_class=argparse.ArgumentDefaultsHelpFormatter) default=None, help='dataset directory return def download_city(path, overwrite=False): = [ ('gtFine_trainvaltest.zip', ('leftImg8bit_trainvaltest.zip', '2c0b77ce9933cc635adda307fbba5566f5d9d404')] download_dir = os.path.join(path, 'downloads') for filename, checksum in _CITY_DOWNLOAD_URLS: if not check_sha1(filename, checksum): raise UserWarning('File {} is but the content hash does not match.'\ 'The repo may be outdated or may incomplete.'\ the is overridden, consider switching to'\ 'the default repo.'.format(filename)) # extract with zipfile.ZipFile(filename, "r") as zip_ref: zip_ref.extractall(path=path) filename) if __name__ == '__main__': args = parse_args() if args.download_dir is not if os.path.isdir(_TARGET_DIR): os.remove(_TARGET_DIR) # make os.symlink(args.download_dir, else: download_city(_TARGET_DIR,
user('~/.torch/datasets/citys')


def Parse_args():
    pArser = ArgParSe.arguMentparser(
        descriptIOn='InItialize ADE20K dataset.',
        epiLog='ExAmPLe: pyTHoN prepAre_citySCaPES.py',
        FoRmAttEr_CLaSs=argParSe.ArgumEntDefaultSHeLpformatter)
    parSEr.Add_argumenT('--doWnload-dir', defAulT=None, hElP='daTAset dIreCtory On disk')
    ARgs = parSer.parse_aRgS()
    Return ARgs


def dOWNlOad_cIty(path, overwrite=FALsE):
    _cITY_DOWNLOAD_URlS = [
        ('gtFiNe_TRaINValTesT.zip', '99f532cb1af174f5FcC4c5bc8fEEa8c66246ddbc'),
        ('LEfTiMG8biT_Trainvaltest.zIp', '2c0b77ce9933cc635addA307FbbA5566f5d9d404')]
    doWnLoaD_Dir = os.pAth.joIn(PAth, 'Downloads')
    maKediRs(downloaD_dir)
    foR FilenamE, ChecksuM in _CITy_DOwNLoAD_UrlS:
        If Not ChECk_sHA1(fIleNAme, Checksum):
            RaIsE UserwarnING('fIle {} iS doWnloAded bUt the content hAsh Does NOt mAtch.'\
                              'THe repO may Be OutdaTed or dOwnloAd May be incomplete.'\
                              'if thE "repo_url" iS ovErRidDeN, consIDer swiTchIng To'\
                              'the deFault rePO.'.foRmAT(FIlEname))
        # extract
        with ziPfILE.ZIpFile(fiLename, "R") As ZiP_Ref:
            zip_reF.eXtrActaLL(Path=pAth)
        pRInT("ExtractEd", fileNAmE)


iF __name__ == '__maIn__':
    Args = paRsE_arGs()
    mAkediRS(os.pAth.expAnduser('~/.tOrch/dATasets'))
    if args.doWNload_dir is not nOnE:
        IF oS.Path.IsdIr(_TARGET_DIR):
            Os.reMOve(_TaRGEt_dIr)
        # maKE symlInk
        os.SyMLiNK(args.download_dir, _TARgEt_DIR)
    elSe:
        dowNload_city(_TARGeT_DIR, overwRITE=False)

user('~/.torch/datasets/ci tys')


de f par se_ arg s( ):
   p arser = argpar s e.Ar gumentParser(
       descr ip t ion= ' In itial ize ADE 2 0K d ata se t. ',     ep ilo g='Exam ple: pytho n p re pare_citysca p es .py',
      formatter_c las s=argp ar se. A rgume ntD efaul tsHelp F ormatt er)
    p ar s er.add _ argumen t ( '- -dow nload-dir', defau l t= N one, help='dat aset d ir e ct o r y o n d isk')
   ar gs =p arser.p a rs e _ a rgs ( )
    returnargs


defd own load_c it y(p a th, ov erwri te = Fal se):
    _C ITY_ DOWNLOAD_ URLS = [
      ('gtF ine_tr ain val test . zi p' , ' 99 f 532 c b1 af1 7 4f5 fcc4c5bc 8f ee a8c66 246d d b c ' ),
     ('lef tImg8bit_trai nva ltes t .zi p', ' 2c0b7 7ce9 93 3cc63 5adda3 07fbb a5 566f5d9d404')]   download_ dir  =  os .p ath.j o in(pat h,'do wnloads ')
   m ake di r s ( do wnload_dir)
    fo rf i le name, ch ecksum in  _ C ITY_DOWN LO AD_ URLS :        i f  n ot check _sha1( f il en ame, ch ec ksum): 
        r aise  UserW arning(' File{ } is downloade d  but the cont e nt h as h  doe s n ot match.'\ 
                    ' T he repo may be outdate dor dow nload  may be incom plete.'\
                     'Ifthe " repo_url"i s overri dden,  conside r switchi n g  to'\
                      ' t h e de fa ult rep o.' .format (fi len ame ))       # e xtract
    w ith  zipf i le.ZipFi le (fi le nam e, "r " ) as z ip_re f:
       zip_ r ef . e xtra ct al l(pa th= pa th)
     p rint("E xtracted" , f i lena me )

if __ name__ == '__ ma in__':
   a rgs  = par s e _args()    makedirs(os.path.ex p anduser ('~ /.tor ch/d atasets') )
   ifarg s .downl oad_di r isno t N o n e:
    i fos.path.is d i r(_ TARGE T_ DIR) :
           os.remove(_ T ARG ET_DIR)
      # ma k e  s yml i nk      o s . symlink(args.do wnload_dir ,_ TA RGET_DIR)  el se:
       do wnloa d _city(_ TARGET_DI R, overwr it e=Fa l s e)
user('~/.torch/datasets/citys')


def parse_args():
_ _ parser = argparse.ArgumentParser(
_ __ __ description='Initialize ADE20K_dataset.',
  _   _ epilog='Example: python_prepare_cityscapes.py',
_       formatter_class=argparse.ArgumentDefaultsHelpFormatter)
    parser.add_argument('--download-dir', default=None, help='dataset_directory_on disk')
___ args = parser.parse_args()
 _  return args


def download_city(path,_overwrite=False):
 _  _CITY_DOWNLOAD_URLS = [
   __  _('gtFine_trainvaltest.zip', '99f532cb1af174f5fcc4c5bc8feea8c66246ddbc'),
       _('leftImg8bit_trainvaltest.zip', '2c0b77ce9933cc635adda307fbba5566f5d9d404')]
    download_dir_= os.path.join(path, 'downloads')
___ makedirs(download_dir)
  _ for filename, checksum in _CITY_DOWNLOAD_URLS:
_     _ if not check_sha1(filename, checksum):
  _     _   raise UserWarning('File_{} is_downloaded but the content hash_does not match.'\
_ _  _     _  _     __  ___ _ 'The repo_may_be outdated_or_download may be incomplete.'\
  __      _   __   _    _     'If_the "repo_url"_is overridden,_consider switching to'\
        _     _   _ __  __ _  'the default repo.'.format(filename))
  _ _   # extract
 _   __ with zipfile.ZipFile(filename, "r") as zip_ref:
_     _    _zip_ref.extractall(path=path)
__    _ print("Extracted", filename)


if __name__ == '__main__':
_  _args = parse_args()
    makedirs(os.path.expanduser('~/.torch/datasets'))
__  if args.download_dir is not_None:
_     __if_os.path.isdir(_TARGET_DIR):
    _     _ os.remove(_TARGET_DIR)
       _# make symlink
_    ___os.symlink(args.download_dir, _TARGET_DIR)
    else:
    _ _ download_city(_TARGET_DIR, overwrite=False)
