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048cfb8
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1 Parent(s): 4dccd76

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Browse files
Incheon_city.jpeg ADDED
Incheon_stadium.jpeg ADDED
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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- title: Segmentation
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- emoji: πŸ‘€
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- colorFrom: red
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- colorTo: blue
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  sdk: gradio
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  sdk_version: 3.44.4
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  app_file: app.py
 
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  ---
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+ title: Non32
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+ emoji: πŸš€
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+ colorFrom: gray
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+ colorTo: purple
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  sdk: gradio
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  sdk_version: 3.44.4
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  app_file: app.py
app.py CHANGED
@@ -8,23 +8,23 @@ import tensorflow as tf
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  from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
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  feature_extractor = SegformerFeatureExtractor.from_pretrained(
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- "nvidia/segformer-b5-finetuned-ade-640-640"
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  )
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  model = TFSegformerForSemanticSegmentation.from_pretrained(
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- "nvidia/segformer-b5-finetuned-ade-640-640"
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  )
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  def ade_palette():
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  """ADE20K palette that maps each class to RGB values."""
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  return [
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- [204, 87, 92],
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- [112, 185, 212],
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- [45, 189, 106],
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- [234, 123, 67],
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- [78, 56, 123],
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- [210, 32, 89],
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- [90, 180, 56],
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- [155, 102, 200],
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  [33, 147, 176],
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  [255, 183, 76],
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  [67, 123, 89],
@@ -235,7 +235,7 @@ def sepia(input_img):
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  demo = gr.Interface(fn=sepia,
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  inputs=gr.Image(shape=(400, 600)),
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  outputs=['plot'],
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- examples=["ADE_val_00000001.jpeg", "ADE_val_00001159.jpg", "ADE_val_00001248.jpg", "ADE_val_00001472.jpg"],
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  allow_flagging='never')
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  from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
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  feature_extractor = SegformerFeatureExtractor.from_pretrained(
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+ "nvidia/segformer-b5-finetuned-cityscapes-1024-1024"
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  )
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  model = TFSegformerForSemanticSegmentation.from_pretrained(
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+ "nvidia/segformer-b5-finetuned-cityscapes-1024-1024"
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  )
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  def ade_palette():
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  """ADE20K palette that maps each class to RGB values."""
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  return [
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+ [0, 0, 0],
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+ [255, 0, 0],
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+ [255, 255, 0],
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+ [255, 255, 255],
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+ [255, 0, 255],
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+ [0, 255, 0],
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+ [0, 255, 255],
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+ [0, 0, 255],
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  [33, 147, 176],
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  [255, 183, 76],
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  [67, 123, 89],
 
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  demo = gr.Interface(fn=sepia,
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  inputs=gr.Image(shape=(400, 600)),
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  outputs=['plot'],
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+ examples=["cheonggyecheon_stream_in_seoul_city.jpg", "Incheon_stadium.jpg", "Incheon_city.jpg"],
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  allow_flagging='never')
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cheonggyecheon_stream_in_seoul_city.jpg ADDED
labels.txt CHANGED
@@ -1,150 +1,19 @@
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- wall
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- building
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- sky
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- floor
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- tree
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- ceiling
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  road
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- bed
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- windowpane
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- grass
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- cabinet
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  sidewalk
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- person
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- earth
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- door
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- table
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- mountain
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- plant
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- curtain
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- chair
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- car
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- water
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- painting
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- sofa
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- shelf
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- house
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- sea
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- mirror
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- rug
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- field
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- armchair
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- seat
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  fence
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- desk
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- rock
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- wardrobe
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- lamp
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- bathtub
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- railing
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- cushion
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- base
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- box
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- column
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- signboard
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- chest of drawers
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- counter
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- sand
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- sink
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- skyscraper
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- fireplace
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- refrigerator
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- grandstand
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- path
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- stairs
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- runway
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- case
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- pool table
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- pillow
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- screen door
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- stairway
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- river
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- bridge
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- bookcase
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- blind
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- coffee table
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- toilet
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- flower
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- book
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- hill
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- bench
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- countertop
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- stove
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- palm
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- kitchen island
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- computer
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- swivel chair
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- boat
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- bar
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- arcade machine
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- hovel
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- bus
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- towel
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- light
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- truck
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- tower
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- chandelier
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- awning
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- streetlight
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- booth
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- television receiver
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- airplane
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- dirt track
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- apparel
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  pole
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- land
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- bannister
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- escalator
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- ottoman
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- bottle
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- buffet
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- poster
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- stage
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- van
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- ship
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- fountain
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- conveyer belt
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- canopy
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- washer
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- plaything
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- swimming pool
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- stool
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- barrel
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- basket
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- waterfall
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- tent
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- bag
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- minibike
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- cradle
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- oven
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- ball
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- food
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- step
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- tank
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- trade name
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- microwave
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- pot
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- animal
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- bicycle
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- lake
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- dishwasher
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- screen
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- blanket
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- sculpture
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- hood
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- sconce
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- vase
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  traffic light
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- tray
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- ashcan
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- fan
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- pier
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- crt screen
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- plate
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- monitor
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- bulletin board
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- shower
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- radiator
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- glass
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- clock
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- flag
 
 
 
 
 
 
 
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  road
 
 
 
 
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  sidewalk
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+ building
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+ wall
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  fence
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pole
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  traffic light
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+ traffic sign
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+ vegetation
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+ terrain
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+ sky
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+ person
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+ rider
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+ car
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+ truck
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+ bus
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+ train
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+ motorcycle
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+ bicycle