28 lines
988 B
Python
28 lines
988 B
Python
import torch
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import matplotlib
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matplotlib.use('TkAgg') # 必须在 import pyplot 之前
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import matplotlib.pyplot as plt
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from PIL import Image
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from sam3.model_builder import build_sam3_image_model
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from sam3.model.sam3_image_processor import Sam3Processor
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from sam3.visualization_utils import plot_results
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# 加载模型（会自动读取本地 sam3.pt）
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model = build_sam3_image_model()
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processor = Sam3Processor(model)
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# 加载测试图片
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image = Image.open("assets/images/test_image.jpg")
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# 设置图像（这一步会做全图编码）
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inference_state = processor.set_image(image)
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# 文本提示分割（换成你想要的词）
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inference_state = processor.set_text_prompt(state=inference_state, prompt="child")
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# 或者分割鞋子：prompt="shoe"
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# 或者试试：prompt="foot" / "sock" / "person" / "hat" 都好使
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# 可视化结果（我修复了官方 plot_results 没 plt.show() 的 bug）
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plot_results(image, inference_state)
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plt.show() # 加上这句才能弹出图片 |