Mastering Computer Vision with TensorFlow 2.x

Visual search code and explanation

In this section, we will explain the TensorFlow code for visual search and its functions:

1. First, we will specify a folder for the uploaded image (there are three folders, which we switch for each image type). Note the images shown here are just examples; your images might be different:

#img_path = '/home/…/visual_search/ test/bed/bed1.jpg'#img_path ='/home/…/visual_search/test/chair/chair1.jpg'#img_path ='/home/…/visual_search/test/sofa/sofa1.jpg'

2. Then, we will upload the image, convert the image to an array, and preprocess the image similarly to what we did before:

img = image.load_img(img_path, target_size=(224, 224))img_data = image.img_to_array(img)img_data = np.expand_dims(img_data, axis=0)img_data ...