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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() | |