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app.py
CHANGED
@@ -1,6 +1,6 @@
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import os
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from huggingface_hub import hf_hub_download
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config_path=hf_hub_download(repo_id="
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ckpt=hf_hub_download(repo_id="vrk05/Flooding_IBM", filename='floods_fine.pth', token=os.environ.get("token"))
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import argparse
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@@ -33,7 +33,6 @@ import matplotlib.pyplot as plt
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from skimage import exposure
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def stretch_rgb(rgb):
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ls_pct=1
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@@ -51,7 +50,6 @@ def open_tiff(fname):
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return data
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-
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def write_tiff(img_wrt, filename, metadata):
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"""
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@@ -72,7 +70,7 @@ def write_tiff(img_wrt, filename, metadata):
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dest.write(img_wrt[i, :, :], i + 1)
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return filename
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-
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def get_meta(fname):
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@@ -129,6 +127,7 @@ def inference_segmentor(model, imgs, custom_test_pipeline=None):
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result = model(return_loss=False, rescale=True, **data)
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return result
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def inference_on_file(target_image, model, custom_test_pipeline):
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target_image = target_image.name
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@@ -208,7 +207,9 @@ with gr.Blocks() as demo:
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btn.click(fn=func, inputs=inp, outputs=[out1, out2])
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with gr.Row():
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gr.Examples(examples=["
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inputs=inp,
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outputs=[out1, out2],
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preprocess=preprocess_example,
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@@ -216,4 +217,4 @@ with gr.Blocks() as demo:
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cache_examples=True,
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)
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demo.launch()
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import os
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from huggingface_hub import hf_hub_download
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config_path=hf_hub_download(repo_id="vrk05/Flooding_IBM", filename="floods_fine.pth", token=os.environ.get("token"))
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ckpt=hf_hub_download(repo_id="vrk05/Flooding_IBM", filename='floods_fine.pth', token=os.environ.get("token"))
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import argparse
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from skimage import exposure
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def stretch_rgb(rgb):
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ls_pct=1
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return data
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def write_tiff(img_wrt, filename, metadata):
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"""
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dest.write(img_wrt[i, :, :], i + 1)
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return filename
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def get_meta(fname):
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result = model(return_loss=False, rescale=True, **data)
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return result
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def inference_on_file(target_image, model, custom_test_pipeline):
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target_image = target_image.name
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btn.click(fn=func, inputs=inp, outputs=[out1, out2])
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with gr.Row():
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gr.Examples(examples=["India_900498_S2Hand.tif",
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"Spain_7370579_S2Hand.tif",
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"USA_430764_S2Hand.tif"],
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inputs=inp,
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outputs=[out1, out2],
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preprocess=preprocess_example,
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cache_examples=True,
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)
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demo.launch()
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