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import matplotlib.pyplot as plt
from tiatoolbox.data import small_svs
from tiatoolbox.wsicore.wsireader import WSIReader
import gradio as gr
from pprint import pprint
from PIL import Image
wsi2png_examples = [['images/sample_wsi_small.svs']]
def wsi2png(wsi_file):
print(wsi_file.name)
reader = WSIReader.open(wsi_file.name)
reader.info.objective_power = 1.0
info_dict = reader.info.as_dict()
pprint(info_dict)
thumbnail = reader.slide_thumbnail(resolution=0.1, units="mpp")
return thumbnail
read_bounds_examples = [['images/sample_wsi_small.png']]
def read_bounds_of_image(image):
return image
mask_wsi_examples = [['images/sample_wsi_small.svs']]
def mask_image(wsi_file, resolution):
reader = WSIReader.open(wsi_file.name)
mask_reader = reader.tissue_mask(resolution=resolution, units="mpp")
mask_thumbnail = mask_reader.slide_thumbnail(resolution=resolution, units="power")
mask_thumbnail *= 255
return mask_thumbnail
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