tensorflow模型转换

机器学习工具训练出js版模型，然后安装tfjs-converter转换成tensorflow模型

# Ubuntu 2004
pip install tensorflowjs[wizard]
tensorflowjs_converter --input_format=tfjs_layers_model --output_format=keras_saved_model  tfjs-model/model.json     keras-model

进行验证(图像分类)

# tensorflow 2.8
from tensorflow import keras 
import cv2
import numpy as np
model = keras.models.load_model('keras-saved-model/')
print(model)
def predict(file):
    image = cv2.imread(file)
    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    image = cv2.resize(
                image, (224, 224)).astype('float32')
    input_data = np.expand_dims(image, axis=0)
    input_mean = 127.5
    input_std = 127.5
    input_data = (np.float32(input_data) - input_mean) / input_std
    print(model.predict(input_data, steps=1))
if __name__ == '__main__':
    predict('1.jpg')
    predict('2.jpg')
    predict('3.jpg')
    predict('4.jpg')

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