Upload 3 files
Browse files- pig-model.pkl +3 -0
- requirements.txt +2 -0
- same-pig.py +54 -0
pig-model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a5a3df8e9773340edd13cc3fa09b349de350f1cb7fb986bb9af1a44787e7a27
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size 87818949
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requirements.txt
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torch==2.0.0+cpu
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fastai==2.7.12
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same-pig.py
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#!/usr/bin/env python
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# coding: utf-8
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# In[4]:
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import gradio as gr
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from fastai.vision.all import *
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import PIL
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import torchvision.transforms as T
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def get_y(f):
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return int(f.parent.name)-1
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# 加载模型
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learn = load_learner('pig-model.pkl')
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def predict_image(img1, img2):
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# 将图像转换为 PIL Image 类型
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img1 = Image.fromarray(img1)
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img2 = Image.fromarray(img2)
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pred1, _, _ = learn.predict(img1)
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pred2, _, _ = learn.predict(img2)
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#print("pred1:",pred1,"pred2:",pred2)
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if pred1 == pred2:
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# 返回预测结果
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return {"是否是同一头猪": "这是同一头猪"}
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else:
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# 返回预测结果
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return {"是否是同一头猪": "这不是同一头猪"}
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# 创建 Gradio 接口
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iface = gr.Interface(
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fn=predict_image,
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inputs=[
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gr.inputs.Image(label="Image 1"),
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gr.inputs.Image(label="Image 2")
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],
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outputs="text",
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title="猪照片识别模型",
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description="检测两张图片是否是同一只猪。"
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)
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# 启动 Gradio 接口
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iface.launch()
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