Update app.py
Browse files
app.py
CHANGED
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@@ -3,19 +3,15 @@ import streamlit as st
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from io import StringIO
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from PIL import Image
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import pandas as pd
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import torch
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import torch.nn as nn
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import torchvision.models as models
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import albumentations as A
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from albumentations.pytorch.transforms import ToTensorV2
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import numpy as np
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import cv2
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st.title('
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uploaded_file = st.file_uploader('Select File')
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id2class = {0: 'agricultural', 1: 'airplane', 2: 'baseballdiamond', 3: 'beach', 4: 'buildings', 5: 'chaparral', 6: 'denseresidential', 7: 'forest', 8: 'freeway', 9: 'golfcourse', 10: 'intersection', 11: 'mediumresidential', 12: 'mobilehomepark', 13: 'overpass', 14: 'parkinglot', 15: 'river', 16: 'runway', 17: 'sparseresidential', 18: 'storagetanks', 19: 'tenniscourt', 20: 'harbor'}
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from io import StringIO
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from PIL import Image
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import pandas as pd
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import numpy as np
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import torch
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import torch.nn as nn
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import torchvision.models as models
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import albumentations as A
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from albumentations.pytorch.transforms import ToTensorV2
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import cv2
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st.title('Predict Images')
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uploaded_file = st.file_uploader('Select File')
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id2class = {0: 'agricultural', 1: 'airplane', 2: 'baseballdiamond', 3: 'beach', 4: 'buildings', 5: 'chaparral', 6: 'denseresidential', 7: 'forest', 8: 'freeway', 9: 'golfcourse', 10: 'intersection', 11: 'mediumresidential', 12: 'mobilehomepark', 13: 'overpass', 14: 'parkinglot', 15: 'river', 16: 'runway', 17: 'sparseresidential', 18: 'storagetanks', 19: 'tenniscourt', 20: 'harbor'}
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