So i managed to extract the roi for the license plate image I wanted
However, I am unable to get the boundingbox over the individual letters. I’ve tried the find_blobs but it detects the entire image instead. Any advice on how to get around it?
crop2.mean(1, threshold=True, offset=5, invert=True)
thresh = (240,255)
blob_list = crop2.find_blobs([thresh],pixels_threshold=300, area_threshold=600, merge=True)
for blob in blob_list:
You need to dilate and or erode the image to cleanup things.
Thanks this helped ! I have another query, my current code saves the segmented images and it works well just that because the images are taken & saved very fast, when it overwrites some image .bmp files might end up corrupted.
Which do i use to give it a delay? would time.sleep() or machine.sleep / sensor.skip_frames() help ? It’s within a for loop
for i in range(len(blob_list)):
temp_x = blob_list[i]
temp_y = blob_list[i]
temp_w = blob_list[i]
temp_h = blob_list[i]
if temp_h > temp_w: ##only find those boxes where height > width since the number plates fit that description
Any method is fine. They all add a delay.
However, images should not be corrupted from saving them very fast. There should be no issue with that.
Thanks ! I ended up using utime.sleep_ms() and it worked well enough. the photos didn’t get corrupted or anything.