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import os
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from PIL import Image
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from openpyxl import load_workbook
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from tqdm import tqdm
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# Define the base path for the dataset
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base_path = "/data5/Temp_ProjectData/QiJianProject/2022ZD0116304-202405/Images/CMB/OrginalData"
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# Load the Excel workbook and select the active sheet
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workbook_path = "/data1/Hatcher/model/project/MPKFNet/大规模数据库-图像.xlsx" # Update this with the actual path to the Excel file
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workbook = load_workbook(workbook_path)
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sheet = workbook.active # Assuming the active sheet is the one we need
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# Function to get image dimensions
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def get_image_dimensions(image_path):
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with Image.open(image_path) as img:
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return img.size # Returns (width, height)
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# Find the last row with data to continue from there
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last_row = sheet.max_row + 1
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# Function to update the Excel with new image data
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def update_excel_with_images(base_path, start_row):
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# Iterate through all subfolders in the base directory
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a = 0
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for folder_name in tqdm(os.listdir(base_path)):
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folder_path = os.path.join(base_path, folder_name)
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if os.path.isdir(folder_path): # Ensure it's a directory
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# Iterate through all images in the folder
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for image_name in os.listdir(folder_path):
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try:
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if image_name.lower().endswith(('.png', '.jpg', '.jpeg', '.bmp', '.gif')): # Check image extensions
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image_path = os.path.join(folder_path, image_name)
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dimensions = get_image_dimensions(image_path)
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size_format = f"{dimensions[0]}x{dimensions[1]}" # Format as 'WidthxHeight'
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# Fill the Excel sheet
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sheet.cell(row=start_row, column=1, value=start_row - 1) # Sequence number
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sheet.cell(row=start_row, column=2, value=image_path) # Original image data
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sheet.cell(row=start_row, column=3, value=folder_name) # Label (folder name)
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sheet.cell(row=start_row, column=4, value=size_format) # Image size
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sheet.cell(row=start_row, column=5, value=1) # Data function type is always 1
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# Increment the row index for the next entry
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start_row += 1
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except:
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pass
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return start_row
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update_excel_with_images(base_path, last_row)
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workbook.save(workbook_path)
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