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import os | |
import slideio | |
from PIL import Image | |
####################Convert SVS files to JPEG files#################### | |
# Set the path to the svs files | |
svs_path = "/Users/josedelgado/Downloads/" | |
# Set the path to the output directory | |
output_path = "/Users/josedelgado/Documents/GitHub/microbiology/Images" | |
# Set the size of the representative image | |
size = (224, 224) | |
# Loop through the svs files | |
for root, dirs, files in os.walk(svs_path): | |
for filename in files: | |
if filename.endswith(".svs"): | |
print("processing " + os.path.join(root, filename) ) | |
# Open the svs file | |
slide = slideio.open_slide(os.path.join(root, filename)) | |
# Read a representative image from the slide | |
scene = slide.get_scene(0) | |
print("region size: " + str(scene.size)) | |
# Convert the image to RGB format | |
image = scene.read_block(size=(500,0)) | |
# Set the output filename | |
output_filename = os.path.splitext(filename)[0] + ".jpeg" | |
# Set the output directory | |
output_dir = os.path.join(output_path, os.path.relpath(root, svs_path)) | |
# Create the output directory if it doesn't exist | |
if not os.path.exists(output_dir): | |
os.makedirs(output_dir) | |
# Convert the numpy array to a PIL image | |
image = Image.fromarray(image) | |
# Save the image in the ImageNet file folder format | |
output_file = os.path.join(output_dir, output_filename) | |
image.save(output_file) |