chapter-4/2-similarity-search-level-1.ipynb - Plot a scatter plot from the generated t-SNE results about practical-deep-learning-book HOT 4 CLOSED

tsne_to_grid_plotter_manual(tsne_results[:, 0], tsne_results[:, 1],
                            selected_filenames)

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
Cell In[72], line 1
----> 1 tsne_to_grid_plotter_manual(tsne_results[:, 0], tsne_results[:, 1],
      2                             selected_filenames)

Cell In[71], line 11, in tsne_to_grid_plotter_manual(x, y, selected_filenames)
      9 x_y_dict = {}
     10 for i, image_path in enumerate(selected_filenames):
---> 11     a = np.ceil(x[i] * (S - s))
     12     b = np.ceil(y[i] * (S - s))
     13     a = int(a - np.mod(a, s))

IndexError: index 2176 is out of bounds for axis 0 with size 2176

for i in range(3):
    random_image_index = random.randint(0, num_images)
    distances, indices = neighbors.kneighbors(
        [feature_list[random_image_index]])
    # Don't take the first closest image as it will be the same image
    similar_image_paths = [filenames[random_image_index]] + \
        [filenames[indices[0][i]] for i in range(1, 4)]
    plot_images(similar_image_paths, distances[0])

num_images = len(filenames)
num_features_per_image = len(feature_list[0])
print("Number of images = ", num_images)
print("Number of features per image = ", num_features_per_image)

Number of images =  8677
Number of features per image =  2048

Number of images =  8677
Number of features per image =  100352