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| import streamlit as st | |
| import os | |
| import zipfile | |
| from PIL import Image | |
| def crop_image(image, left_mm, right_mm): | |
| """ | |
| Crop the image from both the left and right sides. | |
| Args: | |
| image (PIL.Image.Image): The input image. | |
| left_mm (float): The amount to crop from the left side in millimeters. | |
| right_mm (float): The amount to crop from the right side in millimeters. | |
| Returns: | |
| PIL.Image.Image: The cropped image. | |
| """ | |
| # Calculate the cropping width in pixels based on image DPI | |
| dpi = image.info.get("dpi", 72) | |
| width_mm = image.width * 25.4 / dpi | |
| cropping_width = int((left_mm + right_mm) * image.width / width_mm) | |
| # Calculate the left and right cropping boundaries | |
| left_crop = int(left_mm * image.width / width_mm) | |
| right_crop = image.width - int(right_mm * image.width / width_mm) | |
| # Crop the image | |
| cropped_image = image.crop((left_crop, 0, right_crop, image.height)) | |
| return cropped_image | |
| def main(): | |
| st.title("Batch Image Cropper") | |
| # Upload multiple image files | |
| uploaded_files = st.file_uploader("Upload image files", type=["jpg", "jpeg", "png"], accept_multiple_files=True) | |
| if uploaded_files is not None: | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| left_mm = st.number_input("Crop from left (mm)", min_value=0.0, value=0.0, step=0.1) | |
| with col2: | |
| right_mm = st.number_input("Crop from right (mm)", min_value=0.0, value=0.0, step=0.1) | |
| # Create a container to hold the cropped images | |
| images_container = st.empty() | |
| # Process each uploaded image file | |
| cropped_images = [] | |
| for uploaded_file in uploaded_files: | |
| # Open the image file | |
| image = Image.open(uploaded_file) | |
| # Crop the image | |
| cropped_image = crop_image(image, left_mm, right_mm) | |
| cropped_images.append(cropped_image) | |
| # Display the original and cropped images side by side | |
| col_width = 300 | |
| num_images = len(uploaded_files) | |
| num_columns = 2 | |
| num_rows = (num_images + 1) // num_columns | |
| for row in range(num_rows): | |
| cols = st.columns(num_columns) | |
| for col in range(num_columns): | |
| index = row * num_columns + col | |
| if index < num_images: | |
| cols[col].subheader(f"Image {index+1}") | |
| cols[col].image(uploaded_files[index], caption="Original Image", width=col_width) | |
| cols[col].image(cropped_images[index], caption="Cropped Image", width=col_width) | |
| # Save all cropped images | |
| if st.button("Save All"): | |
| zip_filename = "cropped_images.zip" | |
| with zipfile.ZipFile(zip_filename, "w") as zipf: | |
| for i, cropped_image in enumerate(cropped_images): | |
| filename, ext = os.path.splitext(uploaded_files[i].name) | |
| cropped_filename = f"cropped_{filename}.png" | |
| cropped_image.save(cropped_filename) | |
| zipf.write(cropped_filename) | |
| os.remove(cropped_filename) | |
| st.success(f"All cropped images saved successfully as {zip_filename}") | |
| if __name__ == "__main__": | |
| main() | |