Not getting unique heatmap for every slice in input volume

[JamesCallanan]

I found the issue. It is due to the resizing of the cam variable using skimage.transform.resize().

from skimage.transform import resize
capi=resize(cam,(128,128,128))

This resizing implementation results in cam[ : , : , 0 ] equalling cam[ : , : , 1 ] and cam[ : , : , -1 ] equalling cam[ : , : , -2] for me.

Swapping the resizing function which relies on scipy.ndimage.zoom()) worked for me.
Now each slice now is unique.

def resize_volume(img, desired_depth, desired_height, desired_width):
"""Resize across z-axis"""

Get current depth

current_depth = img.shape[-1]
current_width = img.shape[0]
current_height = img.shape[1]

Compute depth factor

depth = current_depth / desired_depth
width = current_width / desired_width
height = current_height / desired_height
depth_factor = 1 / depth
width_factor = 1 / width
height_factor = 1 / height

Rotate

img = ndimage.rotate(img, 90, reshape=False)

Resize across z-axis

img = ndimage.zoom(img, (width_factor, height_factor, depth_factor), order=1)
return img

capi = resize_volume(cam,128,128,128)

relevant file = guided_Gradcam3.py

[DanielCardozoSantos]

Hi,
I have a question I'd like to clarify. Does this model, in conjunction with Grad-CAM, generate a heatmap for each "slice" of the input volume? In other words, is the technique applied individually to each slice of the three-dimensional dataset, creating heatmaps for each of them?