2020-2-capstone-design1 / BSH_project

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seungmin lee
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/a/airfield 2
/a/airplane_cabin 1
/a/airport_terminal 1
/a/alcove 1
/a/alley 2
/a/amphitheater 2
/a/amusement_arcade 1
/a/amusement_park 2
/a/apartment_building/outdoor 2
/a/aquarium 1
/a/aqueduct 2
/a/arcade 1
/a/arch 2
/a/archaelogical_excavation 1
/a/archive 1
/a/arena/hockey 1
/a/arena/performance 1
/a/arena/rodeo 1
/a/army_base 2
/a/art_gallery 1
/a/art_school 1
/a/art_studio 1
/a/artists_loft 1
/a/assembly_line 1
/a/athletic_field/outdoor 2
/a/atrium/public 1
/a/attic 1
/a/auditorium 1
/a/auto_factory 1
/a/auto_showroom 1
/b/badlands 2
/b/bakery/shop 1
/b/balcony/exterior 2
/b/balcony/interior 2
/b/ball_pit 1
/b/ballroom 1
/b/bamboo_forest 2
/b/bank_vault 1
/b/banquet_hall 1
/b/bar 1
/b/barn 2
/b/barndoor 2
/b/baseball_field 2
/b/basement 1
/b/basketball_court/indoor 1
/b/bathroom 1
/b/bazaar/indoor 1
/b/bazaar/outdoor 2
/b/beach 2
/b/beach_house 2
/b/beauty_salon 1
/b/bedchamber 1
/b/bedroom 1
/b/beer_garden 2
/b/beer_hall 1
/b/berth 1
/b/biology_laboratory 1
/b/boardwalk 2
/b/boat_deck 2
/b/boathouse 2
/b/bookstore 1
/b/booth/indoor 1
/b/botanical_garden 2
/b/bow_window/indoor 1
/b/bowling_alley 1
/b/boxing_ring 1
/b/bridge 2
/b/building_facade 2
/b/bullring 2
/b/burial_chamber 1
/b/bus_interior 1
/b/bus_station/indoor 2
/b/butchers_shop 1
/b/butte 2
/c/cabin/outdoor 2
/c/cafeteria 1
/c/campsite 2
/c/campus 2
/c/canal/natural 2
/c/canal/urban 2
/c/candy_store 1
/c/canyon 2
/c/car_interior 1
/c/carrousel 2
/c/castle 2
/c/catacomb 1
/c/cemetery 2
/c/chalet 2
/c/chemistry_lab 1
/c/childs_room 1
/c/church/indoor 1
/c/church/outdoor 2
/c/classroom 1
/c/clean_room 1
/c/cliff 2
/c/closet 1
/c/clothing_store 1
/c/coast 2
/c/cockpit 1
/c/coffee_shop 1
/c/computer_room 1
/c/conference_center 1
/c/conference_room 1
/c/construction_site 2
/c/corn_field 2
/c/corral 2
/c/corridor 1
/c/cottage 2
/c/courthouse 2
/c/courtyard 2
/c/creek 2
/c/crevasse 2
/c/crosswalk 2
/d/dam 2
/d/delicatessen 1
/d/department_store 1
/d/desert/sand 2
/d/desert/vegetation 2
/d/desert_road 2
/d/diner/outdoor 2
/d/dining_hall 1
/d/dining_room 1
/d/discotheque 1
/d/doorway/outdoor 2
/d/dorm_room 1
/d/downtown 2
/d/dressing_room 1
/d/driveway 2
/d/drugstore 1
/e/elevator/door 1
/e/elevator_lobby 1
/e/elevator_shaft 1
/e/embassy 2
/e/engine_room 1
/e/entrance_hall 1
/e/escalator/indoor 1
/e/excavation 2
/f/fabric_store 1
/f/farm 2
/f/fastfood_restaurant 1
/f/field/cultivated 2
/f/field/wild 2
/f/field_road 2
/f/fire_escape 2
/f/fire_station 2
/f/fishpond 2
/f/flea_market/indoor 1
/f/florist_shop/indoor 1
/f/food_court 1
/f/football_field 2
/f/forest/broadleaf 2
/f/forest_path 2
/f/forest_road 2
/f/formal_garden 2
/f/fountain 2
/g/galley 1
/g/garage/indoor 1
/g/garage/outdoor 2
/g/gas_station 2
/g/gazebo/exterior 2
/g/general_store/indoor 1
/g/general_store/outdoor 2
/g/gift_shop 1
/g/glacier 2
/g/golf_course 2
/g/greenhouse/indoor 1
/g/greenhouse/outdoor 2
/g/grotto 2
/g/gymnasium/indoor 1
/h/hangar/indoor 1
/h/hangar/outdoor 2
/h/harbor 2
/h/hardware_store 1
/h/hayfield 2
/h/heliport 2
/h/highway 2
/h/home_office 1
/h/home_theater 1
/h/hospital 2
/h/hospital_room 1
/h/hot_spring 2
/h/hotel/outdoor 2
/h/hotel_room 1
/h/house 2
/h/hunting_lodge/outdoor 2
/i/ice_cream_parlor 1
/i/ice_floe 2
/i/ice_shelf 2
/i/ice_skating_rink/indoor 1
/i/ice_skating_rink/outdoor 2
/i/iceberg 2
/i/igloo 2
/i/industrial_area 2
/i/inn/outdoor 2
/i/islet 2
/j/jacuzzi/indoor 1
/j/jail_cell 1
/j/japanese_garden 2
/j/jewelry_shop 1
/j/junkyard 2
/k/kasbah 2
/k/kennel/outdoor 2
/k/kindergarden_classroom 1
/k/kitchen 1
/l/lagoon 2
/l/lake/natural 2
/l/landfill 2
/l/landing_deck 2
/l/laundromat 1
/l/lawn 2
/l/lecture_room 1
/l/legislative_chamber 1
/l/library/indoor 1
/l/library/outdoor 2
/l/lighthouse 2
/l/living_room 1
/l/loading_dock 2
/l/lobby 1
/l/lock_chamber 2
/l/locker_room 1
/m/mansion 2
/m/manufactured_home 2
/m/market/indoor 1
/m/market/outdoor 2
/m/marsh 2
/m/martial_arts_gym 1
/m/mausoleum 2
/m/medina 2
/m/mezzanine 1
/m/moat/water 2
/m/mosque/outdoor 2
/m/motel 2
/m/mountain 2
/m/mountain_path 2
/m/mountain_snowy 2
/m/movie_theater/indoor 1
/m/museum/indoor 1
/m/museum/outdoor 2
/m/music_studio 1
/n/natural_history_museum 1
/n/nursery 1
/n/nursing_home 1
/o/oast_house 2
/o/ocean 2
/o/office 1
/o/office_building 2
/o/office_cubicles 1
/o/oilrig 2
/o/operating_room 1
/o/orchard 2
/o/orchestra_pit 1
/p/pagoda 2
/p/palace 2
/p/pantry 1
/p/park 2
/p/parking_garage/indoor 1
/p/parking_garage/outdoor 2
/p/parking_lot 2
/p/pasture 2
/p/patio 2
/p/pavilion 2
/p/pet_shop 1
/p/pharmacy 1
/p/phone_booth 2
/p/physics_laboratory 1
/p/picnic_area 2
/p/pier 2
/p/pizzeria 1
/p/playground 2
/p/playroom 1
/p/plaza 2
/p/pond 2
/p/porch 2
/p/promenade 2
/p/pub/indoor 1
/r/racecourse 2
/r/raceway 2
/r/raft 2
/r/railroad_track 2
/r/rainforest 2
/r/reception 1
/r/recreation_room 1
/r/repair_shop 1
/r/residential_neighborhood 2
/r/restaurant 1
/r/restaurant_kitchen 1
/r/restaurant_patio 2
/r/rice_paddy 2
/r/river 2
/r/rock_arch 2
/r/roof_garden 2
/r/rope_bridge 2
/r/ruin 2
/r/runway 2
/s/sandbox 2
/s/sauna 1
/s/schoolhouse 2
/s/science_museum 1
/s/server_room 1
/s/shed 2
/s/shoe_shop 1
/s/shopfront 2
/s/shopping_mall/indoor 1
/s/shower 1
/s/ski_resort 2
/s/ski_slope 2
/s/sky 2
/s/skyscraper 2
/s/slum 2
/s/snowfield 2
/s/soccer_field 2
/s/stable 1
/s/stadium/baseball 2
/s/stadium/football 2
/s/stadium/soccer 2
/s/stage/indoor 1
/s/stage/outdoor 2
/s/staircase 1
/s/storage_room 1
/s/street 2
/s/subway_station/platform 1
/s/supermarket 1
/s/sushi_bar 1
/s/swamp 2
/s/swimming_hole 1
/s/swimming_pool/indoor 1
/s/swimming_pool/outdoor 2
/s/synagogue/outdoor 2
/t/television_room 1
/t/television_studio 1
/t/temple/asia 2
/t/throne_room 1
/t/ticket_booth 1
/t/topiary_garden 2
/t/tower 2
/t/toyshop 1
/t/train_interior 1
/t/train_station/platform 1
/t/tree_farm 2
/t/tree_house 2
/t/trench 2
/t/tundra 2
/u/underwater/ocean_deep 2
/u/utility_room 1
/v/valley 2
/v/vegetable_garden 2
/v/veterinarians_office 1
/v/viaduct 2
/v/village 2
/v/vineyard 2
/v/volcano 2
/v/volleyball_court/outdoor 2
/w/waiting_room 1
/w/water_park 2
/w/water_tower 2
/w/waterfall 2
/w/watering_hole 2
/w/wave 2
/w/wet_bar 1
/w/wheat_field 2
/w/wind_farm 2
/w/windmill 2
/y/yard 2
/y/youth_hostel 1
/z/zen_garden 2
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/a/airfield 0
/a/airplane_cabin 1
/a/airport_terminal 2
/a/alcove 3
/a/alley 4
/a/amphitheater 5
/a/amusement_arcade 6
/a/amusement_park 7
/a/apartment_building/outdoor 8
/a/aquarium 9
/a/aqueduct 10
/a/arcade 11
/a/arch 12
/a/archaelogical_excavation 13
/a/archive 14
/a/arena/hockey 15
/a/arena/performance 16
/a/arena/rodeo 17
/a/army_base 18
/a/art_gallery 19
/a/art_school 20
/a/art_studio 21
/a/artists_loft 22
/a/assembly_line 23
/a/athletic_field/outdoor 24
/a/atrium/public 25
/a/attic 26
/a/auditorium 27
/a/auto_factory 28
/a/auto_showroom 29
/b/badlands 30
/b/bakery/shop 31
/b/balcony/exterior 32
/b/balcony/interior 33
/b/ball_pit 34
/b/ballroom 35
/b/bamboo_forest 36
/b/bank_vault 37
/b/banquet_hall 38
/b/bar 39
/b/barn 40
/b/barndoor 41
/b/baseball_field 42
/b/basement 43
/b/basketball_court/indoor 44
/b/bathroom 45
/b/bazaar/indoor 46
/b/bazaar/outdoor 47
/b/beach 48
/b/beach_house 49
/b/beauty_salon 50
/b/bedchamber 51
/b/bedroom 52
/b/beer_garden 53
/b/beer_hall 54
/b/berth 55
/b/biology_laboratory 56
/b/boardwalk 57
/b/boat_deck 58
/b/boathouse 59
/b/bookstore 60
/b/booth/indoor 61
/b/botanical_garden 62
/b/bow_window/indoor 63
/b/bowling_alley 64
/b/boxing_ring 65
/b/bridge 66
/b/building_facade 67
/b/bullring 68
/b/burial_chamber 69
/b/bus_interior 70
/b/bus_station/indoor 71
/b/butchers_shop 72
/b/butte 73
/c/cabin/outdoor 74
/c/cafeteria 75
/c/campsite 76
/c/campus 77
/c/canal/natural 78
/c/canal/urban 79
/c/candy_store 80
/c/canyon 81
/c/car_interior 82
/c/carrousel 83
/c/castle 84
/c/catacomb 85
/c/cemetery 86
/c/chalet 87
/c/chemistry_lab 88
/c/childs_room 89
/c/church/indoor 90
/c/church/outdoor 91
/c/classroom 92
/c/clean_room 93
/c/cliff 94
/c/closet 95
/c/clothing_store 96
/c/coast 97
/c/cockpit 98
/c/coffee_shop 99
/c/computer_room 100
/c/conference_center 101
/c/conference_room 102
/c/construction_site 103
/c/corn_field 104
/c/corral 105
/c/corridor 106
/c/cottage 107
/c/courthouse 108
/c/courtyard 109
/c/creek 110
/c/crevasse 111
/c/crosswalk 112
/d/dam 113
/d/delicatessen 114
/d/department_store 115
/d/desert/sand 116
/d/desert/vegetation 117
/d/desert_road 118
/d/diner/outdoor 119
/d/dining_hall 120
/d/dining_room 121
/d/discotheque 122
/d/doorway/outdoor 123
/d/dorm_room 124
/d/downtown 125
/d/dressing_room 126
/d/driveway 127
/d/drugstore 128
/e/elevator/door 129
/e/elevator_lobby 130
/e/elevator_shaft 131
/e/embassy 132
/e/engine_room 133
/e/entrance_hall 134
/e/escalator/indoor 135
/e/excavation 136
/f/fabric_store 137
/f/farm 138
/f/fastfood_restaurant 139
/f/field/cultivated 140
/f/field/wild 141
/f/field_road 142
/f/fire_escape 143
/f/fire_station 144
/f/fishpond 145
/f/flea_market/indoor 146
/f/florist_shop/indoor 147
/f/food_court 148
/f/football_field 149
/f/forest/broadleaf 150
/f/forest_path 151
/f/forest_road 152
/f/formal_garden 153
/f/fountain 154
/g/galley 155
/g/garage/indoor 156
/g/garage/outdoor 157
/g/gas_station 158
/g/gazebo/exterior 159
/g/general_store/indoor 160
/g/general_store/outdoor 161
/g/gift_shop 162
/g/glacier 163
/g/golf_course 164
/g/greenhouse/indoor 165
/g/greenhouse/outdoor 166
/g/grotto 167
/g/gymnasium/indoor 168
/h/hangar/indoor 169
/h/hangar/outdoor 170
/h/harbor 171
/h/hardware_store 172
/h/hayfield 173
/h/heliport 174
/h/highway 175
/h/home_office 176
/h/home_theater 177
/h/hospital 178
/h/hospital_room 179
/h/hot_spring 180
/h/hotel/outdoor 181
/h/hotel_room 182
/h/house 183
/h/hunting_lodge/outdoor 184
/i/ice_cream_parlor 185
/i/ice_floe 186
/i/ice_shelf 187
/i/ice_skating_rink/indoor 188
/i/ice_skating_rink/outdoor 189
/i/iceberg 190
/i/igloo 191
/i/industrial_area 192
/i/inn/outdoor 193
/i/islet 194
/j/jacuzzi/indoor 195
/j/jail_cell 196
/j/japanese_garden 197
/j/jewelry_shop 198
/j/junkyard 199
/k/kasbah 200
/k/kennel/outdoor 201
/k/kindergarden_classroom 202
/k/kitchen 203
/l/lagoon 204
/l/lake/natural 205
/l/landfill 206
/l/landing_deck 207
/l/laundromat 208
/l/lawn 209
/l/lecture_room 210
/l/legislative_chamber 211
/l/library/indoor 212
/l/library/outdoor 213
/l/lighthouse 214
/l/living_room 215
/l/loading_dock 216
/l/lobby 217
/l/lock_chamber 218
/l/locker_room 219
/m/mansion 220
/m/manufactured_home 221
/m/market/indoor 222
/m/market/outdoor 223
/m/marsh 224
/m/martial_arts_gym 225
/m/mausoleum 226
/m/medina 227
/m/mezzanine 228
/m/moat/water 229
/m/mosque/outdoor 230
/m/motel 231
/m/mountain 232
/m/mountain_path 233
/m/mountain_snowy 234
/m/movie_theater/indoor 235
/m/museum/indoor 236
/m/museum/outdoor 237
/m/music_studio 238
/n/natural_history_museum 239
/n/nursery 240
/n/nursing_home 241
/o/oast_house 242
/o/ocean 243
/o/office 244
/o/office_building 245
/o/office_cubicles 246
/o/oilrig 247
/o/operating_room 248
/o/orchard 249
/o/orchestra_pit 250
/p/pagoda 251
/p/palace 252
/p/pantry 253
/p/park 254
/p/parking_garage/indoor 255
/p/parking_garage/outdoor 256
/p/parking_lot 257
/p/pasture 258
/p/patio 259
/p/pavilion 260
/p/pet_shop 261
/p/pharmacy 262
/p/phone_booth 263
/p/physics_laboratory 264
/p/picnic_area 265
/p/pier 266
/p/pizzeria 267
/p/playground 268
/p/playroom 269
/p/plaza 270
/p/pond 271
/p/porch 272
/p/promenade 273
/p/pub/indoor 274
/r/racecourse 275
/r/raceway 276
/r/raft 277
/r/railroad_track 278
/r/rainforest 279
/r/reception 280
/r/recreation_room 281
/r/repair_shop 282
/r/residential_neighborhood 283
/r/restaurant 284
/r/restaurant_kitchen 285
/r/restaurant_patio 286
/r/rice_paddy 287
/r/river 288
/r/rock_arch 289
/r/roof_garden 290
/r/rope_bridge 291
/r/ruin 292
/r/runway 293
/s/sandbox 294
/s/sauna 295
/s/schoolhouse 296
/s/science_museum 297
/s/server_room 298
/s/shed 299
/s/shoe_shop 300
/s/shopfront 301
/s/shopping_mall/indoor 302
/s/shower 303
/s/ski_resort 304
/s/ski_slope 305
/s/sky 306
/s/skyscraper 307
/s/slum 308
/s/snowfield 309
/s/soccer_field 310
/s/stable 311
/s/stadium/baseball 312
/s/stadium/football 313
/s/stadium/soccer 314
/s/stage/indoor 315
/s/stage/outdoor 316
/s/staircase 317
/s/storage_room 318
/s/street 319
/s/subway_station/platform 320
/s/supermarket 321
/s/sushi_bar 322
/s/swamp 323
/s/swimming_hole 324
/s/swimming_pool/indoor 325
/s/swimming_pool/outdoor 326
/s/synagogue/outdoor 327
/t/television_room 328
/t/television_studio 329
/t/temple/asia 330
/t/throne_room 331
/t/ticket_booth 332
/t/topiary_garden 333
/t/tower 334
/t/toyshop 335
/t/train_interior 336
/t/train_station/platform 337
/t/tree_farm 338
/t/tree_house 339
/t/trench 340
/t/tundra 341
/u/underwater/ocean_deep 342
/u/utility_room 343
/v/valley 344
/v/vegetable_garden 345
/v/veterinarians_office 346
/v/viaduct 347
/v/village 348
/v/vineyard 349
/v/volcano 350
/v/volleyball_court/outdoor 351
/w/waiting_room 352
/w/water_park 353
/w/water_tower 354
/w/waterfall 355
/w/watering_hole 356
/w/wave 357
/w/wet_bar 358
/w/wheat_field 359
/w/wind_farm 360
/w/windmill 361
/y/yard 362
/y/youth_hostel 363
/z/zen_garden 364
\ No newline at end of file
[net]
# Testing
#batch=1
#subdivisions=1
# Training
batch=64
subdivisions=16
width=512
height=512
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1
learning_rate=0.0001
burn_in=1000
max_batches = 500200
policy=steps
steps=400000,450000
scales=.1,.1
max_epochs = 300
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky
# Downsample
[convolutional]
batch_normalize=1
filters=64
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=32
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=128
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=256
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=512
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
######################
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
[convolutional]
size=1
stride=1
pad=1
filters=57
activation=linear
[Gaussian_yolo]
mask = 6,7,8
anchors = 7,10, 14,24, 27,43, 32,97, 57,64, 92,109, 73,175, 141,178, 144,291
classes=10
num=9
jitter=.3
ignore_thresh = .5
truth_thresh = 1
iou_thresh=0.213
uc_normalizer=1.0
cls_normalizer=1.0
iou_normalizer=0.5
iou_loss=giou
scale_x_y=1.0
random=1
[route]
layers = -4
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[upsample]
stride=2
[route]
layers = -1, 61
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=512
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=512
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=512
activation=leaky
[convolutional]
size=1
stride=1
pad=1
filters=57
activation=linear
[Gaussian_yolo]
mask = 3,4,5
anchors = 7,10, 14,24, 27,43, 32,97, 57,64, 92,109, 73,175, 141,178, 144,291
classes=10
num=9
jitter=.3
ignore_thresh = .5
truth_thresh = 1
iou_thresh=0.213
uc_normalizer=1.0
cls_normalizer=1.0
iou_normalizer=0.5
iou_loss=giou
scale_x_y=1.0
random=1
[route]
layers = -4
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[upsample]
stride=2
[route]
layers = -1, 36
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=256
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=256
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=256
activation=leaky
[convolutional]
size=1
stride=1
pad=1
filters=57
activation=linear
[Gaussian_yolo]
mask = 0,1,2
anchors = 7,10, 14,24, 27,43, 32,97, 57,64, 92,109, 73,175, 141,178, 144,291
classes=10
num=9
jitter=.3
ignore_thresh = .5
truth_thresh = 1
iou_thresh=0.213
uc_normalizer=1.0
cls_normalizer=1.0
iou_normalizer=0.5
iou_loss=giou
scale_x_y=1.0
random=1
[net]
batch=128
subdivisions=1
height=227
width=227
channels=3
momentum=0.9
decay=0.0005
max_crop=256
learning_rate=0.01
policy=poly
power=4
max_batches=800000
angle=7
hue = .1
saturation=.75
exposure=.75
aspect=.75
[convolutional]
filters=96
size=11
stride=4
pad=0
activation=relu
[maxpool]
size=3
stride=2
padding=0
[convolutional]
filters=256
size=5
stride=1
pad=1
activation=relu
[maxpool]
size=3
stride=2
padding=0
[convolutional]
filters=384
size=3
stride=1
pad=1
activation=relu
[convolutional]
filters=384
size=3
stride=1
pad=1
activation=relu
[convolutional]
filters=256
size=3
stride=1
pad=1
activation=relu
[maxpool]
size=3
stride=2
padding=0
[connected]
output=4096
activation=relu
[dropout]
probability=.5
[connected]
output=4096
activation=relu
[dropout]
probability=.5
[connected]
output=1000
activation=linear
[softmax]
groups=1
[cost]
type=sse
This diff is collapsed. Click to expand it.
[net]
batch=128
subdivisions=1
height=32
width=32
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.4
policy=poly
power=4
max_batches = 50000
[crop]
crop_width=28
crop_height=28
flip=1
angle=0
saturation = 1
exposure = 1
noadjust=1
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[dropout]
probability=.5
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[dropout]
probability=.5
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[dropout]
probability=.5
[convolutional]
filters=10
size=1
stride=1
pad=1
activation=leaky
[avgpool]
[softmax]
groups=1
[cost]
[net]
batch=128
subdivisions=1
height=32
width=32
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.4
policy=poly
power=4
max_batches = 50000
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[dropout]
probability=.5
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[dropout]
probability=.5
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[dropout]
probability=.5
[convolutional]
filters=10
size=1
stride=1
pad=1
activation=leaky
[avgpool]
[softmax]
groups=1
temperature=3
[cost]
classes= 80
train = E:/MSCOCO/trainvalno5k.txt
#train = E:/MSCOCO/5k.txt
valid = E:/MSCOCO/5k.txt
names = data/coco.names
backup = backup
eval=coco
classes= 9418
#train = /home/pjreddie/data/coco/trainvalno5k.txt
train = data/combine9k.train.list
valid = /home/pjreddie/data/imagenet/det.val.files
labels = data/9k.labels
names = data/9k.names
backup = backup/
map = data/inet9k.map
eval = imagenet
results = results
[net]
subdivisions=8
inputs=256
batch = 128
momentum=0.9
decay=0.001
max_batches = 2000
time_steps=576
learning_rate=0.1
policy=steps
steps=1000,1500
scales=.1,.1
try_fix_nan=1
[connected]
output=256
activation=leaky
[crnn]
batch_normalize=1
size=1
pad=0
output = 1024
hidden=1024
activation=leaky
[crnn]
batch_normalize=1
size=1
pad=0
output = 1024
hidden=1024
activation=leaky
[crnn]
batch_normalize=1
size=1
pad=0
output = 1024
hidden=1024
activation=leaky
[connected]
output=256
activation=leaky
[softmax]
[cost]
type=sse
[net]
# Training
batch=128
subdivisions=4
label_smooth_eps=0.1
# Testing
# batch=1
# subdivisions=1
height=256
width=256
channels=3
min_crop=128
max_crop=448
mosaic=1
cutmix=1
burn_in=1000
learning_rate=0.1
policy=poly
power=4
max_batches=1200000
momentum=0.9
decay=0.0005
angle=7
hue=.1
saturation=.75
exposure=.75
aspect=.75
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=mish
# Downsample
[convolutional]
batch_normalize=1
filters=64
size=3
stride=2
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=32
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1,-7
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=mish
# Downsample
[convolutional]
batch_normalize=1
filters=128
size=3
stride=2
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1,-10
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
# Downsample
[convolutional]
batch_normalize=1
filters=256
size=3
stride=2
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1,-28
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
# Downsample
[convolutional]
batch_normalize=1
filters=512
size=3
stride=2
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1,-28
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=mish
# Downsample
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=2
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=mish
[route]
layers = -2
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=mish
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=mish
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=mish
[route]
layers = -1,-16
[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
activation=mish
[avgpool]
[convolutional]
filters=1000
size=1
stride=1
pad=1
activation=linear
[softmax]
groups=1
This diff is collapsed. Click to expand it.
This diff is collapsed. Click to expand it.
[net]
batch=128
subdivisions=1
height=224
width=224
channels=3
momentum=0.9
decay=0.0005
max_crop=320
learning_rate=0.1
policy=poly
power=4
max_batches=1600000
[convolutional]
batch_normalize=1
filters=16
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
padding=1
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=1000
size=1
stride=1
pad=1
activation=leaky
[avgpool]
[softmax]
groups=1
[cost]
type=sse
[net]
batch=128
subdivisions=1
height=224
width=224
channels=3
momentum=0.9
decay=0.0005
max_crop=448
learning_rate=0.1
policy=poly
power=4
max_batches=1600000
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=1000
size=1
stride=1
pad=1
activation=linear
[avgpool]
[softmax]
groups=1
[cost]
type=sse
[net]
#batch=128
#subdivisions=4
batch=1
subdivisions=1
height=448
width=448
max_crop=512
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.001
policy=poly
power=4
max_batches=100000
angle=7
hue = .1
saturation=.75
exposure=.75
aspect=.75
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=1000
size=1
stride=1
pad=1
activation=linear
[avgpool]
[softmax]
groups=1
[cost]
type=sse
[net]
# Training
batch=128
subdivisions=8
# Testing
#batch=1
#subdivisions=1
height=256
width=256
channels=3
min_crop=128
max_crop=448
burn_in=1000
learning_rate=0.1
policy=poly
power=4
max_batches=800000
momentum=0.9
decay=0.0005
angle=7
hue=.1
saturation=.75
exposure=.75
aspect=.75
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky
# Downsample
[convolutional]
batch_normalize=1
filters=64
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=32
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=128
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=256
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=512
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=2
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[avgpool]
[convolutional]
filters=1000
size=1
stride=1
pad=1
activation=linear
[softmax]
groups=1
[net]
# Training - start training with darknet53.weights
batch=120
subdivisions=20
# Testing
#batch=1
#subdivisions=1
height=448
width=448
channels=3
min_crop=448
max_crop=512
burn_in=1000
learning_rate=0.1
policy=poly
power=4
max_batches=100000
momentum=0.9
decay=0.0005
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky
# Downsample
[convolutional]
xnor=1
batch_normalize=1
filters=64
size=3
stride=2
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=32
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=3
stride=2
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=3
stride=2
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=2
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
# Downsample
[convolutional]
xnor=1
batch_normalize=1
filters=1024
size=3
stride=2
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
xnor=1
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
xnor=1
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[shortcut]
from=-3
activation=linear
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[avgpool]
[convolutional]
filters=1000
size=1
stride=1
pad=1
activation=linear
[softmax]
groups=1
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[net]
batch=128
subdivisions=1
height=224
width=224
max_crop=320
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.1
policy=poly
power=4
max_batches=1600000
[convolutional]
batch_normalize=1
filters=64
size=7
stride=2
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=192
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=1000
size=1
stride=1
pad=1
activation=leaky
[avgpool]
[softmax]
groups=1
[cost]
type=sse
[net]
batch=1
subdivisions=1
height=256
width=256
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.5
policy=poly
power=6
max_batches=500000
[convolutional]
filters=64
size=7
stride=2
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=192
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
filters=1024
size=3
stride=1
pad=1
activation=leaky
[avgpool]
[connected]
output=1000
activation=leaky
[softmax]
groups=1
[net]
batch=128
subdivisions=1
height=224
width=224
max_crop=320
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.01
max_batches = 0
policy=steps
steps=444000,590000,970000
scales=.5,.2,.1
#policy=sigmoid
#gamma=.00008
#step=100000
#max_batches=200000
[convolutional]
batch_normalize=1
filters=64
size=7
stride=2
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=192
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=2048
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=2048
size=3
stride=1
pad=1
activation=leaky
[avgpool]
[connected]
output=21842
activation=leaky
[softmax]
groups=1
[cost]
type=sse
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