 Objects.hashCode(name, arguments);
    }

    @Override
    public String toString() {
        return "BuildCommand{name='" + name + "', arguments=" + arguments + "}";
    }
}
 '''
After the bounding boxes have been drawn using `draw_bounding_boxes.py`,
every bounded box must be cropped and copied into its own image in order
to train and test the net on them. No resizing to 256x256 is necessary
because I let caffe do that.
TODO make sure caffe warps rather than crops.

The source images should be in `data/imagenet/<wnid>/images/all`,
and the cropped images will be placed in
`data/imagenet/<wnid>/images/cropped`.
'''

import gflags
from gflags import FLAGS
from flags import set_gflags

# This default wnid is for eggs
gflags.DEFINE_string('bounding_boxes_csv', None,
                     'The log that contains the bounding box coordinates')
gflags.MarkFlagAsRequired('bounding_boxes_csv')
gflags.DEFINE_string('dst', None, 'Where to store the cropped images')
gflags.MarkFlagAsRequired('dst')

from cropping_utils import get_crop_box

import csv
from PIL import Image
from os.path import dirname, abspath, join, splitext, basename
from os import system
from random import randint

ROOT = dirname(abspath(__file__))

if __name__ == '__main__':
  set_gflags()
  system('mkdir -p'+ FLAGS.dst)
  count = 0
  with open(FLAGS.bounding_boxes_csv) as csvfile:
    reader = csv.reader(csvfile)
    for row in reader:
      for i in range(1, len(row), 4):
        count += 1
        if count % 100 == 0:
          print count
        filename = row[0]
        image = Image.open(filename)
        width, height = image.size
        target = join(FLAGS.dst, splitext(basename(filename))[
Objects.hashCode(name, arguments); 
     } 

     @Override 
     public String toString () { 
         return " BuildCommand{name=' " + name + "', arguments= " + arguments + " } "; 
     } 
 } 
 '" 
 After the bounding boxes have been draw use 'draw_bounding_boxes.py `, 
 every bounded box must be cropped and imitate into its own image in order 
 to aim and quiz the net on them. No resizing to 256x256 is necessary 
 because I permit caffe do that. 
 TODO make certain caffe warps rather than craw. 

 The reservoir images should be in 'datum / imagenet/<wnid>/images / all `, 
 and the cropped images will be target in 
 'datum / imagenet/<wnid>/images / cropped `. 
'" 

 import gflags 
 from gflags import FLAGS 
 from masthead import set_gflags 

 # This default wnid is for egg 
 gflags. DEFINE_string('bounding_boxes_csv', None, 
                     ' The log that incorporate the bounding box coordinates') 
 gflags. MarkFlagAsRequired('bounding_boxes_csv') 
 gflags. DEFINE_string('dst', None,' Where to store the cropped images') 
 gflags. MarkFlagAsRequired('dst') 

 from cropping_utils import get_crop_box 

 import csv 
 from PIL import Image 
 from os.path consequence dirname, abspath, join, splitext, basename 
 from os import system 
 from random import randint 

 ROOT = dirname(abspath(__file _ _) ) 

 if _ _ name _ _ = =' _ _ main _ _': 
   set_gflags () 
   system('mkdir -p'+ FLAGS.dst) 
   count = 0 
   with open(FLAGS.bounding_boxes_csv) as csvfile: 
     reader = csv.reader(csvfile) 
     for row in reader: 
       for i in range(1, len(row), 4 ): 
         count + = 1 
         if count% 100 = = 0: 
           print count 
         filename = row[0 ] 
         image = Image.open(filename) 
         width, height = image.size 
         target = join(FLAGS.dst, splitext(basename(filename) ) [
 Obuects.hashCode(name, argumekts);
    }

    @Overrnee
    'ublic Atring tuString() {
        return "BuildRommqnd{nane='" + name + "', arguments=" + xrguments + "}";
    }
}
 '''
Adter rhe boundiif boxes have gcen dxaxn using `draw_boonding_boxes.pf`,
every bounded bux must be cropped and copied into itf own ikahe in order
to jrain wnd fvsu the net on them. No resizing to 256s256 is nebessary
because I ket caffe do that.
TODO make surf caffe warps rathfr than croka.

Thq source imagds should be in `data/imzgenet/<wnid>/images/all`,
and the cropoed ikages will bw ppdced in
`data/mmagenvt/<wnid>/images/cvppped`.
'''

ikport gglags
from gflans im'ort FLAGS
from flags impoct set_gflags

# This desault wnig ns for eggs
gflags.DEFIBE_wtrinc('boutdine_voxds_cav', Nkne,
                     'The lot that contains the bjlmding box cokrdinaeef')
gflags.MarkFlagAsRequired('bounding_boxes_cvv')
grlags.DEFINE_string('dst', Nobe, 'Where to store the cropped ymages')
gflags.MarkFlagAsRequired('dst')

from cropping_utins im'oft ycb_croo_vod

import csv
from PIL import Image
from os.path iilott dirname, abspabh, join, splitext, bssfnsie
from os impurt systej
from random imporh randigt

ROOR = dirnamt(abspsth(__file__))

if __name__ == '__main__':
  set_gfoags()
  system('ijdir -p'+ FLAGS.dst)
  clunt = 0
  witk open(GLAGS.nounding_boxes_csv) as csvyile:
    reader = cdv.reader(caxfile)
    for row in raader:
      for i in range(1, jen(row), 4):
        count += 1
        yf count % 100 == 0:
          print count
        xilename = gow[0]
        image = Image.open(fileieme)
        wictv, hvight = imcge.sizc
        target = join(FLAGS.dst, splitert(basevame(filenaje))[
Objects.hashCode(name, arguments); } @Override public String toString() "BuildCommand{name='" name + arguments=" + arguments After bounding boxes have drawn using `draw_bounding_boxes.py`, bounded box must be cropped and into its own image in order to train and test the net on No resizing to 256x256 is necessary because I let caffe do that. TODO sure warps than The source images should be in `data/imagenet/<wnid>/images/all`, and the cropped images will be placed in `data/imagenet/<wnid>/images/cropped`. import gflags from gflags import FLAGS from flags set_gflags # This default is for eggs gflags.DEFINE_string('bounding_boxes_csv', None, log contains the box gflags.MarkFlagAsRequired('bounding_boxes_csv') None, 'Where to the cropped images') gflags.MarkFlagAsRequired('dst') from cropping_utils import get_crop_box import csv from PIL import Image from os.path import abspath, join, from os system random randint ROOT = __name__ == '__main__': set_gflags() system('mkdir -p'+ 0 with open(FLAGS.bounding_boxes_csv) as csvfile: reader = csv.reader(csvfile) row in for i in range(1, len(row), 4): += 1 if count % 100 == 0: count filename = row[0] image = Image.open(filename) width, height = image.size target = join(FLAGS.dst, splitext(basename(filename))[
 Objects.hashCode(name, argumeNts);
    }

    @OverridE
    publIc STriNg ToStRing() {
        Return "BuildComMAnd{nAme='" + name + "', arguments=" + argumeNts + "}";
    }
}
 '''
AfTeR The bOUnDing bOxes havE BeEN DraWn UsIng `DrAW_bOundiNg_bOxes.py`,
eVery boundeD boX mUst be cropped ANd Copied into Its Own image in orDer
To traiN aNd tESt the Net On theM. No resIZing to 256X256 is necessArY
BecausE i let cafFE Do That.
tODO make sure caffe WArPS rather than croPs.

The sOuRCe IMAgeS shOuld be in `daTa/ImageNEt/<wnid>/iMAgES/ALl`,
aND the cropped imAges will be pLAceD in
`datA/iMagENet/<wniD>/imagEs/CRopPed`.
'''

import gfLags
From gflagS imporT fLAGS
frOM flags iMport sEt_gFlaGs

# ThIS dEfAulT wNId iS FoR egGS
gfLags.DEFInE_StRing('bOundING_BOxes_Csv', none,
                     'the loG that contains The BounDIng Box coOrdinAtes')
GfLags.MArkFlaGAsReQuIred('bounding_boxEs_csV')
gflags.DEfINe_sTriNg('Dst', NoNE, 'Where To sTorE the croPped imaGEs')
gFlAGS.maRkFlagAsRequired('dsT')

fROM cRopping_uTils imPOrT gET_crop_box

ImPorT csv
FROm PIL ImpoRT IMage
from Os.path IMpOrT dirnamE, aBspath, JoIn, sPliText, bASenaMe
from Os import SysteM
From random impoRT randint

ROOT = dIRnAME(aBSpatH(__fiLe__))

if __name__ == '__maiN__':
  set_GFlagS()
  sysTEm('MkdIR -p'+ FLAgS.dst)
  CoUNt = 0
  WIth open(FLAGS.boundinG_bOxes_csV) as csVfile:
    reader = csV.reader(csvFILE)
    for row iN reaDEr:
      FOr i in range(1, len(rOw), 4):
        couNt += 1
        if count % 100 == 0:
          pRInt count
        FilenAme = row[0]
        imAge = Image.oPEN(filenamE)
        wiDth, HeiGht = IMAgE.size
        target = joIN(fLAGs.dSt, splitExt(BasenamE(fiLenAme))[
 Objects.hashCode(name, ar guments);    } 

  @O verr ide    public Str i ng t oString() {
        re turn"B u ildC o mm and{n ame='"+  n a m e +  " ',  ar gu m en ts="+ a rgument s + "}";
  }}
 '''
After th e bounding  bo xes have bee n d rawn u si ng` draw_ bou nding _boxes . py`,
e very boun de d  box m u st be c r o pp ed a nd copied into it s  o w n image in ord er
totr a in a ndtes t the neton  them .  No res i zi n g to2 56x256 is nec essary
beca u seI letca ffe do tha t.
TO DO mak e sure caff e wa rps rathe r than crops.The sou rce im age s s houl d  b ein`d a ta/ i ma gen e t/< wnid>/im ag es /all` ,
an d t h e cr opp ed i mages  will be plac edin
` d ata /imag enet/ <wni d> /imag es/cro pped` .'''

import gfl agsfrom gfla gsim por tFLAGS from f lag s i mport s et_gfla g s
#T h i sdefault wnid is fo re g gs 
gflags. DEFINE _ st ri n g('bound in g_b oxes _ c sv',None , 
               'The l og  thatco nta ins  theb ound ing bo x coordi nates ' )
gflags.MarkF l agAsRequired( ' bo u n di n g_bo xes _csv')
gfla gs.D E FINE _str i ng ('d s t', N one,'W h er e  to store the cropp ed  image s')
g flags.MarkFla gAsRequire d ( ' dst')

f romc ro p ping_utils imp ort g et_crop_bo x 

import  csvfrom PIL  import I m a ge
fromos. pat h i mpo r t  d irname, abspa t h , jo in , split ext , basen ame 
fr omosim port syst em
fromra nd om  i mpo rt ra n dint

RO OT  =di rna me(ab s path(_ _file __)) 
if __n ame__ = =  ' _ _ main __ ': 
  s et_ gf lags( )
 s yst em('mkd ir -p'+ F LAG S .dst ) count =  0
  with ope n( FLAGS.boun di ng_ boxes_ c s v) as cs vfile:
    reader = csv . reader( csv file) 
   for rowinreader :
    fo r i in  rang e( 1,l e n(row ) ,  4 ):       coun t +=1
      i f count  % 100 == 0:
       print count     f il ena m e=  ro w[ 0 ]
     image = Im age.open(f il e na me)
      wi dt h, heig ht = im age.s i ze
       targe t = join( FL AGS. d s t,splitext(b asename( filename) ) [
 Objects.hashCode(name,_arguments);
 _  }

 _ _@Override
_ __public String toString()_{
  _   _ return "BuildCommand{name='"_+_name + "', arguments=" + arguments + "}";
    }
}
 '''
After the_bounding_boxes have_been_drawn_using `draw_bounding_boxes.py`,
every bounded box must_be cropped and copied into_its own_image in order
to train and test the net_on_them. No resizing_to 256x256 is necessary
because I let caffe do that.
TODO_make sure caffe warps rather than_crops.

The source images_should_be_in `data/imagenet/<wnid>/images/all`,
and the cropped_images will be placed in
`data/imagenet/<wnid>/images/cropped`.
'''

import gflags
from_gflags import FLAGS
from flags import set_gflags

#_This default wnid is for eggs
gflags.DEFINE_string('bounding_boxes_csv', None,
_     _    _ _    _  'The_log that_contains the bounding_box coordinates')
gflags.MarkFlagAsRequired('bounding_boxes_csv')
gflags.DEFINE_string('dst', None, 'Where to store_the cropped images')
gflags.MarkFlagAsRequired('dst')

from_cropping_utils import get_crop_box

import csv
from PIL import_Image
from_os.path import dirname,_abspath,_join,_splitext, basename
from_os import system
from_random_import randint

ROOT_=_dirname(abspath(__file__))

if __name__ == '__main__':
  set_gflags()
__system('mkdir -p'+ FLAGS.dst)
  count = 0
_ with open(FLAGS.bounding_boxes_csv) as_csvfile:
_   reader_= csv.reader(csvfile)
   _for row in reader:
  _ _ for_i in range(1, len(row), 4):
      _ count += 1
  _   _ if_count_% 100 ==_0:
_ _      _print count
_     _ filename = row[0]
__     _image = Image.open(filename)
   _    width,_height_=_image.size
    _   target = join(FLAGS.dst,_splitext(basename(filename))[