Merge in RR/vidocp from refactoring to master
Squashed commit of the following:
commit 36a62a13e51148d2420cb12930e84d78629db6b0
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:54:53 2022 +0100
refactoring
commit e652da1fa88a048f9a5211b4e8c0b96074fb5849
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:53:17 2022 +0100
refactoring
commit d9567da428c81f9cd7971a657281df0a90166810
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:47:18 2022 +0100
refactoring
commit 9d30009dceec0357db6499bfaffae8ce97718ee0
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:45:53 2022 +0100
refactoring
commit e8863d67aaaff138fb088c4e496a91b6354cc059
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:42:45 2022 +0100
refactoring
commit 89a99d3586db4fbafa743a45bdd02eaf0c1f341f
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:39:49 2022 +0100
refactoring
commit aa66b6865b00b0490b9e7695a6bae386e6f96723
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:31:21 2022 +0100
refactoring
commit 98d77cb522a08821c3a13ae2cffbe7239c654762
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:27:55 2022 +0100
refactoring
commit fed3a7e4f1b8b7ca4e14f9e495459c26490fb50b
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:26:16 2022 +0100
refactoring
commit 504cafbd5d4bba183d9943b36c60548aae34e402
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:25:44 2022 +0100
renaming
commit c9780a57e5a048529d36958ba678eddb11759cef
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:24:41 2022 +0100
removed obsolete import
commit d555e86475e82024f8e1a5fc5b0ac70faa091ee1
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date: Sun Feb 6 14:24:04 2022 +0100
refactored figure detection once
24 lines
795 B
Python
24 lines
795 B
Python
import cv2
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import numpy as np
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def detect_large_coherent_structures(image: np.array):
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"""Detects large coherent structures on an image.
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References:
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https://stackoverflow.com/questions/60259169/how-to-group-nearby-contours-in-opencv-python-zebra-crossing-detection
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"""
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gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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thresh = cv2.threshold(gray, 253, 255, cv2.THRESH_BINARY)[1]
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dilate_kernel = cv2.getStructuringElement(cv2.MORPH_OPEN, (5, 5))
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dilate = cv2.dilate(~thresh, dilate_kernel, iterations=4)
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close_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (20, 20))
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close = cv2.morphologyEx(dilate, cv2.MORPH_CLOSE, close_kernel, iterations=1)
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cnts, _ = cv2.findContours(close, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
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return cnts
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