上傳圖片(0~9)辨識ImportError: Filepath looks like a hdf5 file but h5py ...

woff

1. import streamlit as st
   
2. from skimage import io
   
3. from skimage.transform import resize
   
4. 
   
5. import numpy as np
   
6. 
   
7. import tensorflow as tf
   
8. 
   
9. model = tf.keras.models.load_model('./mnist_model.h5')
   
10. uploaded_file = st.file_uploader("上傳圖片(.png)",type="png")
    
11. 
    
12. if uploaded_file is not None:
    
13.     image1 = io.imread(uploaded_file, as_gray=True)
    
14.     image_resized = resize(image1,(28,28), anti_aliasing=True)
    
15.     X1 = image_resized.reshape(1,28,28,1)
    
16.     X1 = np.abs(1-X1)
    
17. 
    
18.     predictions = model.predict_classes(X1)[0]
    
19.     st.write(f'預測結果:{predictions}')
    
20.     st.image(image1)

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錯誤代碼

python pycharm h5py

1. ImportError: Filepath looks like a hdf5 file but h5pyis not available

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上面敘述加入

1. import h5py

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在Termainal
輸入

1. streamlit run D:\scrapytest\img-read.py

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這時又出現錯誤

1. 'Sequential' object has no attribute 'predict_classes'

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python pycharm h5py

代碼

1. predictions = model.predict_classes(X1)[0]
   
2.     st.write(f'預測結果:{predictions}')
   
3.     st.image(image1)

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改成

1. # 預測
   
2.     predictions = model.predict(X1)
   
3.     classes_x = np.argmax(predictions, axis=1)
   
4.     # 顯示預測結果
   
5.     st.write(f'預測結果:{classes_x}')

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就正常了

python pycharm h5py

參考文章
https://www.cjavapy.com/article/2239/