Created
November 26, 2019 03:02
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Generate crowd heatmap with opencv and heatmap package
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import heatmap | |
import cv2 | |
def use_heatmap(image, box_centers): | |
hm = heatmap.Heatmap() | |
img = hm.heatmap(box_centers, dotsize=200, size=(image.shape[1], image.shape[0]), opacity=128, area=((0, 0), (image.shape[1], image.shape[0]))) | |
return img | |
img = "/path/to/image.jpg" | |
centers = [(10, 20), (30, 40) ] # centers of heatmaps | |
frame = cv2.imread(img) # origin image | |
hm = use_heatmap(frame) | |
heatmap = cv2.imread(hm) # heatmap image | |
overlay = frame.copy() | |
alpha = 0.5 # set convering image transparency | |
cv2.rectangle(overlay, (0, 0), (frame.shape[1], frame.shape[0]), (255, 0, 0), -1) # set blue as the background | |
cv2.addWeighted(overlay, alpha, frame, 1-alpha, 0, frame) # overlap background with original image | |
cv2.addWeighted(heatmap, alpha, frame, 1-alpha, 0, frame) # overlap heatmap with original image | |
cv2.imshow('frame', frame) | |
cv2.waitKey(0) |
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