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Upload run.py
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run.py
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import os,glob,h5py,time
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import gradio as gr
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from PIL import Image
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import numpy as np
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from osgeo import gdal
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from matplotlib import pyplot as plt
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from tqdm import tqdm
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title=(""" # <p align="center"> Remote Sensing Tile Dataset Creator 🛰️ <b>
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### <p align="center"> yujunchuan (yujunchuna@mail.cgs.gov.cn)<b>""")
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with gr.Blocks(theme=gr.themes.Soft(),css="footer {visibility: hidden}") as demo:
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# dtype=gr.State(value=[])
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fullarray=gr.State(value=None)
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cropdata=gr.State(value=None)
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boriginal_img=gr.State(value=None)
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boriginal_lab=gr.State(value=None)
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gr.Markdown(title)
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with gr.Tab("Basic Mode"):
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with gr.Row():
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with gr.Column(scale=50):
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# input_img=gr.Textbox(label='Input image path' )
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# input_lab=gr.Textbox(label='Input mask path')
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input_img=gr.File(label='Input image path',height=100,scale=2)
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outpath=gr.Textbox(label='Output path',lines=2)
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with gr.Column(scale=50):
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with gr.Row():
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datatype=gr.Radio(['Tiff','Hdf5'],interactive=True, type="value",value='Tiff',label='Data type')
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with gr.Row():
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# with gr.Column():
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check_button = gr.Button("Check file")
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with gr.Row():
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# with gr.Column():
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result=gr.Textbox(label='Logging info',lines=2,show_label=True)
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with gr.Row(equal_height=True):
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with gr.Column():
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with gr.Row(equal_height=True):
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with gr.Column(scale=50):
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with gr.Row():
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with gr.Column(scale=50):
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clipmode=gr.Radio(['Sequential','Random'],interactive=True, type="value",value='Sequential',label='Clip mode')
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with gr.Column(scale=50):
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npatch=gr.Number(label="N patches",value=50,precision=0,interactive=True)
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with gr.Row():
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thresh = gr.Slider(minimum=0, maximum=1, value=0, step=0.1, interactive=True, label="threshhold")
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with gr.Column(scale=50):
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with gr.Row(equal_height=True):
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with gr.Column(scale=50):
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cropsize = gr.Number(label="Crop size",value=256,precision=0,interactive=True)
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run_button = gr.Button("Start",size='lg',scale=2,variant="primary")
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with gr.Column(scale=50):
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stride = gr.Number(label="Stride",value=256,precision=0,interactive=True)
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# with gr.Row(equal_height=True):
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save_button = gr.Button("Save",size='lg',scale=2,variant="primary")
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with gr.Row(equal_height=True):
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with gr.Column(scale=50):
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original_img=gr.Image(label='Input image')
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with gr.Column(scale=50):
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original_lab=gr.Image(label='Input mask')
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with gr.Column(scale=100):
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show_pathes=gr.Image(label='Image tile')
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with gr.Row(equal_height=True):
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with gr.Column(scale=1):
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start=gr.Number(label='Start number',value=0,precision=0,interactive=True)
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with gr.Column(scale=1):
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dstride=gr.Number(label='Show N files',value=10,precision=0,interactive=True)
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with gr.Column(scale=2):
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showtile=gr.Button('Show tile',size='lg',variant="primary")
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tilecheck=gr.Button('Next tile',size='lg',variant="secondary")
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with gr.Row():
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example = gr.Examples(
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examples=[['./image/128_d4_32.tif','Tiff']],
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fn=read_img_file,
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inputs=[input_img,datatype],
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outputs=[fullarray,original_img,original_lab],
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cache_examples=False)
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## BATCH MODE
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with gr.Tab("Batch"):
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with gr.Row(equal_height=True):
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with gr.Column(scale=50):
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binput_img=gr.File(label='Input image path',height=100,scale=3,file_count='multiple')
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# with gr.Row():
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with gr.Column(scale=50):
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with gr.Row():
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with gr.Column():
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bdatatype=gr.Radio(['Tiff','Hdf5'],interactive=True, type="value",value='Tiff',label='Data type')
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with gr.Column(scale=20):
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boutpath=gr.Textbox(label='Output path',lines=1)
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with gr.Row():
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bcheck_button = gr.Button("Check file")
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# with gr.Row():
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with gr.Row(equal_height=True):
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with gr.Column():
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with gr.Row(equal_height=True):
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with gr.Column(scale=50):
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with gr.Row():
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with gr.Column(scale=50):
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bclipmode=gr.Radio(['Sequential','Random'],interactive=True, type="value",value='Sequential',label='Clip mode')
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with gr.Column(scale=50):
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bnpatch=gr.Number(label="N patches",value=50,precision=0,interactive=True)
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with gr.Row():
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bthresh = gr.Slider(minimum=0, maximum=1, value=0, step=0.1, interactive=True, label="threshhold")
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with gr.Column(scale=50):
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with gr.Row():
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with gr.Column(scale=50):
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bcropsize = gr.Number(label="Crop size",value=256,precision=0,interactive=True)
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with gr.Column(scale=50):
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bstride = gr.Number(label="Stride",value=256,precision=0,interactive=True)
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with gr.Row():
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brun_button = gr.Button("Start",size='lg',scale=2,variant="primary")
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with gr.Row():
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with gr.Column(scale=50):
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boriginal_img=gr.Image(label='Input image')
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with gr.Column(scale=50):
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boriginal_lab=gr.Image(label='Input mask')
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with gr.Column(scale=100):
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bresult=gr.Textbox(label='Logging info',lines=8,show_label=True)
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with gr.Row():
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example = gr.Examples(
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examples=[[glob.glob('./image/*.tif'),'Tiff','./image']],
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fn=batch_check_file,
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inputs=[binput_img,bdatatype,boutpath],
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outputs=[bresult],
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cache_examples=False)
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input_img.change(read_img_file,[input_img,datatype],[fullarray,original_img,original_lab])
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check_button.click(check_file,[fullarray,outpath],result)
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run_button.click(data_crop,[fullarray,cropsize,stride,clipmode,npatch,thresh],[cropdata,result])
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save_button.click(save_tile,[cropdata,outpath],result)
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showtile.click(show_data,cropdata,[show_pathes,start])
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tilecheck.click(show_data,[cropdata,start,dstride],[show_pathes,start])
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bcheck_button.click(batch_check_file,[binput_img,bdatatype,boutpath],bresult)
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brun_button.click(batch_clip_data,[binput_img,bdatatype,bcropsize,bstride,bclipmode,npatch,bthresh,boutpath],[boriginal_img,boriginal_lab,bresult],show_progress=True)
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demo.queue()
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demo.launch(debug=True,show_api=False,show_tips=False)
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