About visualization for anomaly score maps

[EricaHattman]

Could you please advise on how to implement the visualization for anomaly score maps in the paper？
Or may I get this part of code if is possible?

[cool-xuan]

The visualization code is simple via matplotlib. There are only two lines of code are required:

plt.imshow(img)
plt.imshow(anomaly_score_map, cmap='jet', alpha = 0.4)

where img refers to the input image of the product, and anomaly_score_map is the predicted score.

[EricaHattman]

Thanks for your reply, it helps me a lot！^_^

[oahnah]

Thanks for your reply, it helps me a lot！^_^
How is visualization implemented specifically? I don't know where the code should be placed. T_T

[cool-xuan]

@oahnah The visualization code works after getting the anomaly score map. In our code, anomaly_score_map is calculated here. Particularly, anomaly_score_map_mul is the better choice for human visualization.