mirror of
https://github.com/EyeTrackVR/EyeTrackVR.git
synced 2025-09-26 23:09:28 +08:00
83 lines
3.7 KiB
Python
83 lines
3.7 KiB
Python
"""
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------------------------------------------------------------------------------------------------------
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,@@@@@@
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@@@@@@@@@@@ @@@
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@@@@@@@@@@@@ @@@@@@@@@@@
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@@@@@@@@@@@@@ @@@@@@@@@@@@@@
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@@@@@@@/ ,@@@@@@@@@@@@@
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/@@@@@@@@@@@@@@@ @@@@@@@@
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@@@@@@@@@@@@@@@@@@@@@@@@ @@@@@
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@@@@@@@@ @@@@@
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,@@@ @@@@&
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@@@@@@. @@@@
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@@@ @@@@@@@@@/ @@@@@
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,@@@. @@@@@@((@ @@@@(
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//@@@ ,, @@@@ @@@@@
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@@@( @@@@@@@
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@@@ @ @@@@@@@@#
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@@@@@@@@@@@@@@@@@
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@@@@@@@@@@@@@(
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BLOB By: Prohurtz
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Algorithm App Implimentations By: Prohurtz, qdot (Inital App Creator)
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Copyright (c) 2025 EyeTrackVR <3
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LICENSE: Babble Software Distribution License 1.0
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------------------------------------------------------------------------------------------------------
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"""
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import cv2
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def BLOB(self):
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global cct
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# define circle
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_, larger_threshold = cv2.threshold(
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self.current_image_gray,
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int(self.settings.gui_threshold),
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255,
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cv2.THRESH_BINARY,
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)
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try:
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# Try rebuilding our contours
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contours, _ = cv2.findContours(
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larger_threshold, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE
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)
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contours = sorted(contours, key=lambda x: cv2.contourArea(x), reverse=True)
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# If we have no contours, we have nothing to blob track. Fail here.
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if len(contours) == 0:
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raise RuntimeError("No contours found for image")
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except:
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self.failed = self.failed + 1
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pass
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rows, cols = larger_threshold.shape
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for cnt in contours:
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(x, y, w, h) = cv2.boundingRect(cnt)
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# if our blob width/height are within boundaries, call that good.
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if (
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not self.settings.gui_blob_minsize <= h <= self.settings.gui_blob_maxsize
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or not self.settings.gui_blob_minsize <= w <= self.settings.gui_blob_maxsize
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):
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continue
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cx = x + int(w / 2)
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cy = y + int(h / 2)
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cv2.drawContours(self.current_image_gray, [cnt], -1, (0, 0, 0), 3)
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cv2.rectangle(self.current_image_gray, (x, y), (x + w, y + h), (0, 0, 0), 2)
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# out_x, out_y = cal_osc(self, cx, cy) #filter and calibrate values
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self.failed = 0
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return cx, cy, larger_threshold
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self.failed = self.failed + 1
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return 0, 0, larger_threshold
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