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31 lines
1.3 KiB
Python
31 lines
1.3 KiB
Python
from cellpose import models, plot
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from cellpose.io import imread, save_masks
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from PIL import Image
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import numpy as np
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import os, datetime
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def test():
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model = models.CellposeModel(gpu=True)
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files = ['img.png']
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imgs = [imread(f) for f in files]
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masks, flows, styles = model.eval(
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imgs, flow_threshold=0.4, cellprob_threshold=0.0
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)
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for i, m in enumerate(masks):
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print(
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f"[{i}] mask max={int(getattr(m, 'max', lambda: 0)()) if hasattr(m, 'max') else int(np.max(m))}, unique={np.unique(m)[:5]} ..."
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)
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ts = datetime.datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
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outdir = os.path.join(os.path.dirname(__file__), "test_output", ts)
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os.makedirs(outdir, exist_ok=True) # 自动创建目录
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for img, mask, flow, name in zip(imgs, masks, flows, files):
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base = os.path.join(outdir, os.path.splitext(os.path.basename(name))[0])
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#使用内置绘图生成蒙版
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out = base + "_output"
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save_masks(imgs, mask, flow, out, tif=True)
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# 用 plot 生成彩色叠加图（不依赖 skimage）
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rgb = plot.image_to_rgb(img, channels=[0, 0]) # 原图转 RGB
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over = plot.mask_overlay(rgb, masks=mask, colors=None) # 叠加彩色实例
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Image.fromarray(over).save(base + "_overlay.png")
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