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This repository has been archived by the owner on Jul 8, 2023. It is now read-only.
when the checker can't be found, it can take ages (minutes) after pressing the button
there is no clear feedback when the checker wasn't found but the processing is over: if consecutive failures happens, there is no change on the screen (the current error message isn't cleared out when "Add current frame" is pressed)
I patched my local copy to mitigate 1 by using "fast check" mode, the normalization part can probably be dropped, it was just an experiment:
diff --git a/calibrate_video.py b/calibrate_video.py
index 4c35153..0d3bafc 100644
--- a/calibrate_video.py+++ b/calibrate_video.py@@ -163,11 +163,12 @@ class FisheyeCalibrator:
gray = cv2.cvtColor(self.stretch_image(img),cv2.COLOR_BGR2GRAY)
# Find the chess board corners
- ret, corners = cv2.findChessboardCorners(gray, self.chessboard_size, None)+ ret, corners = cv2.findChessboardCorners(gray, self.chessboard_size, flags=cv2.CALIB_CB_FAST_CHECK + cv2.CALIB_CB_NORMALIZE_IMAGE)
if not ret:
return (False, "Failed to detect chessboard", None)
+ ret, corners = cv2.findChessboardCorners(gray, self.chessboard_size, flags=cv2.CALIB_CB_NORMALIZE_IMAGE)
# If found, add object points, image points (after refining them)
self.num_images += 1
Some big red cross or question mark over the image could indicate it failed... but I didn't browse the code enough (and don't know Qt...) to figure it out.
The text was updated successfully, but these errors were encountered:
During camera calibration there are two issues:
I patched my local copy to mitigate 1 by using "fast check" mode, the normalization part can probably be dropped, it was just an experiment:
Some big red cross or question mark over the image could indicate it failed... but I didn't browse the code enough (and don't know Qt...) to figure it out.
The text was updated successfully, but these errors were encountered: