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dhs_summit_2019_image_captioning's Introduction

Hi there ๐Ÿ‘‹ I am Rajesh Shreedhar Bhat

  • ๐Ÿ”ญ Currently working at Walmart Global Tech, building Computer Vision applications for Walmart stores.
  • ๐ŸŒฑ Area of interest: Computer Vision, NLP, Model Interpretability & distillation.
  • ๐Ÿ“ซ Email id: [email protected]

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dhs_summit_2019_image_captioning's Issues

Pre-process for Inception model

The following code snippet is used to pre-process the images according to the Inceptionv3 model.

def load_image(image_path,cap):
    img = tf.io.read_file(image_path)
    img = tf.image.decode_jpeg(img, channels=3)
    img = tf.image.resize(img, (299, 299))
    img = tf.keras.applications.inception_v3.preprocess_input(img)
    return img, cap

In the tensorflow documentation for tf.keras.applications.inception_v3.preprocess_input it is given that the x argument (img) here needs to be in the range of [0,255]

I suggest the following code snippet instead

def load_image(image_path,cap):
    img = tf.io.read_file(image_path)
    img = tf.image.decode_jpeg(img, channels=3)
    img = tf.image.resize(img, (299, 299))
    img = img * 255.0
    img = tf.keras.applications.inception_v3.preprocess_input(img)
    return img, cap

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