Please look at this github page. I want to generate heat maps in this way using Python PIL,open cv or matplotlib library. Can somebody help me figure it out?
I could create a heat map for my network at the same size as the input, but I am not able superimpose them. The heatmap shape is (800,800) and the base image shape is (800,800,3)
After the repeated comments I have decided to update this post with a better visualization.
Consider the following image:
img = cv2.imread('image_path')
I obtained a binary image after performing binary threshold on the a-channel of the LAB converted image:
lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)
a_component = lab[:,:,1]
th = cv2.threshold(a_component,140,255,cv2.THRESH_BINARY)[1]
Applying Gaussian blur:
blur = cv2.GaussianBlur(th,(13,13), 11)
The resulting heatmap:
heatmap_img = cv2.applyColorMap(blur, cv2.COLORMAP_JET)
Finally, superimposing the heatmap over the original image:
super_imposed_img = cv2.addWeighted(heatmap_img, 0.5, img, 0.5, 0)
Note: You can vary the weight parameters in the function cv2.addWeighted
and observe the differences.