과제 2

app.py

@@ -17,24 +17,156 @@ model = TFSegformerForSemanticSegmentation.from_pretrained(
 def ade_palette():
     """ADE20K palette that maps each class to RGB values."""
     return [
-        [255, 0, 0],
-        [85, 0, 0],
-        [255, 193, 158],
-        [255, 94, 0],
-        [255, 228, 0],
-        [29, 219, 22],
-        [71, 102, 0],
-        [54, 255, 255],
-        [0, 84, 255],
-        [3, 0, 102],
-        [183, 120, 255],
-        [95, 0, 255],
-        [255, 178, 217],
-        [255, 72, 255],
-        [153, 0, 76],
-        [140, 140, 140],
-        [25, 25, 25],
-        [255, 255, 255],
+        [204, 87, 92],
+        [112, 185, 212],
+        [45, 189, 106],
+        [234, 123, 67],
+        [78, 56, 123],
+        [210, 32, 89],
+        [90, 180, 56],
+        [155, 102, 200],
+        [33, 147, 176],
+        [255, 183, 76],
+        [67, 123, 89],
+        [190, 60, 45],
+        [134, 112, 200],
+        [56, 45, 189],
+        [200, 56, 123],
+        [87, 92, 204],
+        [120, 56, 123],
+        [45, 78, 123],
+        [156, 200, 56],
+        [32, 90, 210],
+        [56, 123, 67],
+        [180, 56, 123],
+        [123, 67, 45],
+        [45, 134, 200],
+        [67, 56, 123],
+        [78, 123, 67],
+        [32, 210, 90],
+        [45, 56, 189],
+        [123, 56, 123],
+        [56, 156, 200],
+        [189, 56, 45],
+        [112, 200, 56],
+        [56, 123, 45],
+        [200, 32, 90],
+        [123, 45, 78],
+        [200, 156, 56],
+        [45, 67, 123],
+        [56, 45, 78],
+        [45, 56, 123],
+        [123, 67, 56],
+        [56, 78, 123],
+        [210, 90, 32],
+        [123, 56, 189],
+        [45, 200, 134],
+        [67, 123, 56],
+        [123, 45, 67],
+        [90, 32, 210],
+        [200, 45, 78],
+        [32, 210, 90],
+        [45, 123, 67],
+        [165, 42, 87],
+        [72, 145, 167],
+        [15, 158, 75],
+        [209, 89, 40],
+        [32, 21, 121],
+        [184, 20, 100],
+        [56, 135, 15],
+        [128, 92, 176],
+        [1, 119, 140],
+        [220, 151, 43],
+        [41, 97, 72],
+        [148, 38, 27],
+        [107, 86, 176],
+        [21, 26, 136],
+        [174, 27, 90],
+        [91, 96, 204],
+        [108, 50, 107],
+        [27, 45, 136],
+        [168, 200, 52],
+        [7, 102, 27],
+        [42, 93, 56],
+        [140, 52, 112],
+        [92, 107, 168],
+        [17, 118, 176],
+        [59, 50, 174],
+        [206, 40, 143],
+        [44, 19, 142],
+        [23, 168, 75],
+        [54, 57, 189],
+        [144, 21, 15],
+        [15, 176, 35],
+        [107, 19, 79],
+        [204, 52, 114],
+        [48, 173, 83],
+        [11, 120, 53],
+        [206, 104, 28],
+        [20, 31, 153],
+        [27, 21, 93],
+        [11, 206, 138],
+        [112, 30, 83],
+        [68, 91, 152],
+        [153, 13, 43],
+        [25, 114, 54],
+        [92, 27, 150],
+        [108, 42, 59],
+        [194, 77, 5],
+        [145, 48, 83],
+        [7, 113, 19],
+        [25, 92, 113],
+        [60, 168, 79],
+        [78, 33, 120],
+        [89, 176, 205],
+        [27, 200, 94],
+        [210, 67, 23],
+        [123, 89, 189],
+        [225, 56, 112],
+        [75, 156, 45],
+        [172, 104, 200],
+        [15, 170, 197],
+        [240, 133, 65],
+        [89, 156, 112],
+        [214, 88, 57],
+        [156, 134, 200],
+        [78, 57, 189],
+        [200, 78, 123],
+        [106, 120, 210],
+        [145, 56, 112],
+        [89, 120, 189],
+        [185, 206, 56],
+        [47, 99, 28],
+        [112, 189, 78],
+        [200, 112, 89],
+        [89, 145, 112],
+        [78, 106, 189],
+        [112, 78, 189],
+        [156, 112, 78],
+        [28, 210, 99],
+        [78, 89, 189],
+        [189, 78, 57],
+        [112, 200, 78],
+        [189, 47, 78],
+        [205, 112, 57],
+        [78, 145, 57],
+        [200, 78, 112],
+        [99, 89, 145],
+        [200, 156, 78],
+        [57, 78, 145],
+        [78, 57, 99],
+        [57, 78, 145],
+        [145, 112, 78],
+        [78, 89, 145],
+        [210, 99, 28],
+        [145, 78, 189],
+        [57, 200, 136],
+        [89, 156, 78],
+        [145, 78, 99],
+        [99, 28, 210],
+        [189, 78, 47],
+        [28, 210, 99],
+        [78, 145, 57],
     ]
 
 labels_list = []

labels.txt

@@ -1,18 +1,150 @@
-Background
-Hat
-Hair
-Sunglasses
-Upper-clothes
-Skirt
-Pants
-Dress
-Belt
-Left-shoe
-Right-shoe
-Face
-Left-leg
-Right-leg
-Left-arm
-Right-arm
-Bag
-Scarf
+wall
+building
+sky
+floor
+tree
+ceiling
+road
+bed
+windowpane
+grass
+cabinet
+sidewalk
+person
+earth
+door
+table
+mountain
+plant
+curtain
+chair
+car
+water
+painting
+sofa
+shelf
+house
+sea
+mirror
+rug
+field
+armchair
+seat
+fence
+desk
+rock
+wardrobe
+lamp
+bathtub
+railing
+cushion
+base
+box
+column
+signboard
+chest of drawers
+counter
+sand
+sink
+skyscraper
+fireplace
+refrigerator
+grandstand
+path
+stairs
+runway
+case
+pool table
+pillow
+screen door
+stairway
+river
+bridge
+bookcase
+blind
+coffee table
+toilet
+flower
+book
+hill
+bench
+countertop
+stove
+palm
+kitchen island
+computer
+swivel chair
+boat
+bar
+arcade machine
+hovel
+bus
+towel
+light
+truck
+tower
+chandelier
+awning
+streetlight
+booth
+television receiver
+airplane
+dirt track
+apparel
+pole
+land
+bannister
+escalator
+ottoman
+bottle
+buffet
+poster
+stage
+van
+ship
+fountain
+conveyer belt
+canopy
+washer
+plaything
+swimming pool
+stool
+barrel
+basket
+waterfall
+tent
+bag
+minibike
+cradle
+oven
+ball
+food
+step
+tank
+trade name
+microwave
+pot
+animal
+bicycle
+lake
+dishwasher
+screen
+blanket
+sculpture
+hood
+sconce
+vase
+traffic light
+tray
+ashcan
+fan
+pier
+crt screen
+plate
+monitor
+bulletin board
+shower
+radiator
+glass
+clock
+flag