import os filepath='./lib/geoai_GDAL-3.4.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl' os.system('pip install {}'.format(filepath)) import os,glob,h5py,time,sys import gradio as gr from PIL import Image import numpy as np from osgeo import gdal from matplotlib import pyplot as plt from tqdm import tqdm from huggingface_hub import hf_hub_download token = os.environ['HUB_TOKEN'] loc =hf_hub_download(repo_id="JunchuanYu/file_for_rs-tile-creator", filename="utils.py",repo_type="dataset",local_dir='.',token=token) sys.path.append(loc) from utils import * title=(""" #

Remote Sensing Tile Dataset Creator 🛰️ ###

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