updated hardcoded paths

Author: lisadunlap

data/cub_classes.txt

@@ -0,0 +1,200 @@
+1 001.Black_footed_Albatross
+2 002.Laysan_Albatross
+3 003.Sooty_Albatross
+4 004.Groove_billed_Ani
+5 005.Crested_Auklet
+6 006.Least_Auklet
+7 007.Parakeet_Auklet
+8 008.Rhinoceros_Auklet
+9 009.Brewer_Blackbird
+10 010.Red_winged_Blackbird
+11 011.Rusty_Blackbird
+12 012.Yellow_headed_Blackbird
+13 013.Bobolink
+14 014.Indigo_Bunting
+15 015.Lazuli_Bunting
+16 016.Painted_Bunting
+17 017.Cardinal
+18 018.Spotted_Catbird
+19 019.Gray_Catbird
+20 020.Yellow_breasted_Chat
+21 021.Eastern_Towhee
+22 022.Chuck_will_Widow
+23 023.Brandt_Cormorant
+24 024.Red_faced_Cormorant
+25 025.Pelagic_Cormorant
+26 026.Bronzed_Cowbird
+27 027.Shiny_Cowbird
+28 028.Brown_Creeper
+29 029.American_Crow
+30 030.Fish_Crow
+31 031.Black_billed_Cuckoo
+32 032.Mangrove_Cuckoo
+33 033.Yellow_billed_Cuckoo
+34 034.Gray_crowned_Rosy_Finch
+35 035.Purple_Finch
+36 036.Northern_Flicker
+37 037.Acadian_Flycatcher
+38 038.Great_Crested_Flycatcher
+39 039.Least_Flycatcher
+40 040.Olive_sided_Flycatcher
+41 041.Scissor_tailed_Flycatcher
+42 042.Vermilion_Flycatcher
+43 043.Yellow_bellied_Flycatcher
+44 044.Frigatebird
+45 045.Northern_Fulmar
+46 046.Gadwall
+47 047.American_Goldfinch
+48 048.European_Goldfinch
+49 049.Boat_tailed_Grackle
+50 050.Eared_Grebe
+51 051.Horned_Grebe
+52 052.Pied_billed_Grebe
+53 053.Western_Grebe
+54 054.Blue_Grosbeak
+55 055.Evening_Grosbeak
+56 056.Pine_Grosbeak
+57 057.Rose_breasted_Grosbeak
+58 058.Pigeon_Guillemot
+59 059.California_Gull
+60 060.Glaucous_winged_Gull
+61 061.Heermann_Gull
+62 062.Herring_Gull
+63 063.Ivory_Gull
+64 064.Ring_billed_Gull
+65 065.Slaty_backed_Gull
+66 066.Western_Gull
+67 067.Anna_Hummingbird
+68 068.Ruby_throated_Hummingbird
+69 069.Rufous_Hummingbird
+70 070.Green_Violetear
+71 071.Long_tailed_Jaeger
+72 072.Pomarine_Jaeger
+73 073.Blue_Jay
+74 074.Florida_Jay
+75 075.Green_Jay
+76 076.Dark_eyed_Junco
+77 077.Tropical_Kingbird
+78 078.Gray_Kingbird
+79 079.Belted_Kingfisher
+80 080.Green_Kingfisher
+81 081.Pied_Kingfisher
+82 082.Ringed_Kingfisher
+83 083.White_breasted_Kingfisher
+84 084.Red_legged_Kittiwake
+85 085.Horned_Lark
+86 086.Pacific_Loon
+87 087.Mallard
+88 088.Western_Meadowlark
+89 089.Hooded_Merganser
+90 090.Red_breasted_Merganser
+91 091.Mockingbird
+92 092.Nighthawk
+93 093.Clark_Nutcracker
+94 094.White_breasted_Nuthatch
+95 095.Baltimore_Oriole
+96 096.Hooded_Oriole
+97 097.Orchard_Oriole
+98 098.Scott_Oriole
+99 099.Ovenbird
+100 100.Brown_Pelican
+101 101.White_Pelican
+102 102.Western_Wood_Pewee
+103 103.Sayornis
+104 104.American_Pipit
+105 105.Whip_poor_Will
+106 106.Horned_Puffin
+107 107.Common_Raven
+108 108.White_necked_Raven
+109 109.American_Redstart
+110 110.Geococcyx
+111 111.Loggerhead_Shrike
+112 112.Great_Grey_Shrike
+113 113.Baird_Sparrow
+114 114.Black_throated_Sparrow
+115 115.Brewer_Sparrow
+116 116.Chipping_Sparrow
+117 117.Clay_colored_Sparrow
+118 118.House_Sparrow
+119 119.Field_Sparrow
+120 120.Fox_Sparrow
+121 121.Grasshopper_Sparrow
+122 122.Harris_Sparrow
+123 123.Henslow_Sparrow
+124 124.Le_Conte_Sparrow
+125 125.Lincoln_Sparrow
+126 126.Nelson_Sharp_tailed_Sparrow
+127 127.Savannah_Sparrow
+128 128.Seaside_Sparrow
+129 129.Song_Sparrow
+130 130.Tree_Sparrow
+131 131.Vesper_Sparrow
+132 132.White_crowned_Sparrow
+133 133.White_throated_Sparrow
+134 134.Cape_Glossy_Starling
+135 135.Bank_Swallow
+136 136.Barn_Swallow
+137 137.Cliff_Swallow
+138 138.Tree_Swallow
+139 139.Scarlet_Tanager
+140 140.Summer_Tanager
+141 141.Artic_Tern
+142 142.Black_Tern
+143 143.Caspian_Tern
+144 144.Common_Tern
+145 145.Elegant_Tern
+146 146.Forsters_Tern
+147 147.Least_Tern
+148 148.Green_tailed_Towhee
+149 149.Brown_Thrasher
+150 150.Sage_Thrasher
+151 151.Black_capped_Vireo
+152 152.Blue_headed_Vireo
+153 153.Philadelphia_Vireo
+154 154.Red_eyed_Vireo
+155 155.Warbling_Vireo
+156 156.White_eyed_Vireo
+157 157.Yellow_throated_Vireo
+158 158.Bay_breasted_Warbler
+159 159.Black_and_white_Warbler
+160 160.Black_throated_Blue_Warbler
+161 161.Blue_winged_Warbler
+162 162.Canada_Warbler
+163 163.Cape_May_Warbler
+164 164.Cerulean_Warbler
+165 165.Chestnut_sided_Warbler
+166 166.Golden_winged_Warbler
+167 167.Hooded_Warbler
+168 168.Kentucky_Warbler
+169 169.Magnolia_Warbler
+170 170.Mourning_Warbler
+171 171.Myrtle_Warbler
+172 172.Nashville_Warbler
+173 173.Orange_crowned_Warbler
+174 174.Palm_Warbler
+175 175.Pine_Warbler
+176 176.Prairie_Warbler
+177 177.Prothonotary_Warbler
+178 178.Swainson_Warbler
+179 179.Tennessee_Warbler
+180 180.Wilson_Warbler
+181 181.Worm_eating_Warbler
+182 182.Yellow_Warbler
+183 183.Northern_Waterthrush
+184 184.Louisiana_Waterthrush
+185 185.Bohemian_Waxwing
+186 186.Cedar_Waxwing
+187 187.American_Three_toed_Woodpecker
+188 188.Pileated_Woodpecker
+189 189.Red_bellied_Woodpecker
+190 190.Red_cockaded_Woodpecker
+191 191.Red_headed_Woodpecker
+192 192.Downy_Woodpecker
+193 193.Bewick_Wren
+194 194.Cactus_Wren
+195 195.Carolina_Wren
+196 196.House_Wren
+197 197.Marsh_Wren
+198 198.Rock_Wren
+199 199.Winter_Wren
+200 200.Common_Yellowthroat

…innet_sentry_split/clipart_test_mini.txt …innet_sentry_split/clipart_test_mini.txtdomainnet_sentry_split/clipart_test_mini.txt renamed to data/domainnet_sentry_split/clipart_test_mini.txt domainnet_sentry_split/clipart_test_mini.txt renamed to data/domainnet_sentry_split/clipart_test_mini.txt

@@ -15,7 +15,7 @@
 
 CUB_DOMAINS = ["photo", "painting"]
 
-with open('/shared/lisabdunlap/data/CUB-200-Painting/classes.txt') as f:
+with open('./data/cub_classes.txt') as f:
     lines = f.readlines()
 
 CUB_CLASSES = [l.replace('\n', '').split('.')[-1].replace('_', ' ') for l in lines]
@@ -25,6 +25,7 @@ class Cub2011(torch.utils.data.Dataset):
 
     def __init__(self, root, train=True, transform=None, download=False):
         self.root = os.path.expanduser(root)
+        print("root", root)
         self.transform = transform
         self.train = train