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李根赢
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Browse files- app.py +31 -17
- images/black.jpg +0 -0
- images/teddy.jpg +0 -0
app.py
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# AUTOGENERATED! DO NOT EDIT! File to edit: gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb.
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# %% auto 0
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__all__ = ['
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 25
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from fastai.vision.widgets import *
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from fastai.vision.all import *
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import gradio as gr
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from IPython.display import display
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 26
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path = Path('bears')
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learn_inf = load_learner(path/'export.pkl')
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 27
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb
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out_pl
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with out_pl: display(img.to_thumb(128,128))
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out_pl
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# AUTOGENERATED! DO NOT EDIT! File to edit: gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb.
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# %% auto 0
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__all__ = ['learn_inf', 'lbl_pred', 'image', 'label', 'examples', 'intf', 'btn_upload', 'classify_image', 'on_click_classify']
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 25
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from fastai.vision.all import *
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import gradio as gr
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 27
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learn_inf = load_learner('bears/export.pkl')
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 33
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lbl_pred = learn_inf.dls.vocab
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def classify_image(img):
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img = img.to_thumb(128,128)
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pred,pred_idx,probs = learn_inf.predict(img)
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return dict(zip(lbl_pred, map(float, probs)))
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 34
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image = gr.Image(type="pil")
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label = gr.Label()
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examples = ['images/black.jpg', 'images/grizzly.jpg', 'images/teddy.jpg']
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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intf.launch(inline=False, debug=True)
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 35
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def on_click_classify(change):
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img = PILImage.create(btn_upload.data[-1])
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out_pl.clear_output()
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with out_pl: display(img.to_thumb(128,128))
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pred,pred_idx,probs = learn_inf.predict(img)
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lbl_pred.value = f'Prediction: {pred}; Probability: {probs[pred_idx]:.04f}'
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btn_run.on_click(on_click_classify)
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 36
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btn_upload = widgets.FileUpload()
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# %% gdrive/MyDrive/Colab Notebooks/Untitled8.ipynb 37
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VBox([widgets.Label('Select your bear!'),
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btn_upload, btn_run, out_pl, lbl_pred])
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images/black.jpg
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images/teddy.jpg
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