import io
from tornado.web import Application, RequestHandler
from tornado.ioloop import IOLoop
from openslide import OpenSlide
from openslide.deepzoom import DeepZoomGenerator
from PIL import Image, ImageOps
class SlideHandler(RequestHandler):
def initialize(self, slide):
tile_size = 256 # 每个瓦片的大小
overlap = 0 # 瓦片之间的重叠像素
limit_bounds = False # 是否限制瓦片在图像边界内
self.dz = DeepZoomGenerator(slide, tile_size=tile_size, overlap=overlap, limit_bounds=limit_bounds)
def get(self, z, x, y):
z = int(z)
x = int(x)
y = int(y)
tile_size = 256
try:
# 获取指定层级的瓦片
tile = self.dz.get_tile(z, (x, y))
# 获取原始图像的宽度和高度
original_width, original_height = tile.size
# 如果图像已经是256x256，不需要填充
if original_width == tile_size and original_height == tile_size:
padded_tile = tile
else:
# 创建一个新的256x256的黑色背景图像
padded_tile = Image.new("RGB", (tile_size, tile_size), color=(0, 0, 0))
# 将原图像粘贴到新的黑色背景图像上
padded_tile.paste(tile, (0, 0))
# tile = tile.convert("RGB")
# tile = ImageOps.pad(tile, (tile_size, tile_size), color="black", centering=(0, 0))
# 将瓦片图像转换为JPEG格式并返回
output = io.BytesIO()
tile = padded_tile
tile.save(output, format="JPEG")
self.set_header("Content-Type", "image/jpeg")
self.write(output.getvalue())
except ValueError:
# 请求超出图像边界，返回404错误
self.send_error(404)
def make_app():
slide = OpenSlide('test.svs') # 加载SVS文件
return Application([
(r"/tiles/([0-9]+)/([0-9]+)/([0-9]+)", SlideHandler, dict(slide=slide)),
])
if __name__ == "__main__":
app = make_app()
app.listen(8888)
IOLoop.current().start()
