5ee8d4a1719a4c1070924351af9c2119432e7066,examples/visualize_layer.py,,visualize_multiple_categories,#Any#,65

Before Change


    // Easily stitch images via `utils.stitch_images`
    stitched = utils.stitch_images(images)
    if show:
        cv2.imshow("Multiple category visualization", stitched)
        cv2.waitKey(0)


if __name__ == "__main__":
    print("Visualizing random imagenet output categories")

After Change


    // Easily stitch images via `utils.stitch_images`
    stitched = utils.stitch_images(images)
    if show:
        plt.axis("off")
        plt.imshow(stitched)
        plt.title("Multiple category visualization")
        plt.show()
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: raghakot/keras-vis
Commit Name: 5ee8d4a1719a4c1070924351af9c2119432e7066
Time: 2017-04-29
Author: ragha@outlook.com
File Name: examples/visualize_layer.py
Class Name:
Method Name: visualize_multiple_categories


Project Name: raghakot/keras-vis
Commit Name: 5ee8d4a1719a4c1070924351af9c2119432e7066
Time: 2017-04-29
Author: ragha@outlook.com
File Name: examples/visualize_layer.py
Class Name:
Method Name: visualize_random


Project Name: raghakot/keras-vis
Commit Name: 5ee8d4a1719a4c1070924351af9c2119432e7066
Time: 2017-04-29
Author: ragha@outlook.com
File Name: examples/visualize_layer.py
Class Name:
Method Name: visualize_multiple_same_filter