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()
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