Changed the type of tag to detect to t16h5 and the size of the tag to 6.
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@ -31,7 +31,7 @@ camera_matrix = np.array([[FOCAL_LEN_PIXELS, 0., 308.94165115],
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[0., FOCAL_LEN_PIXELS, 221.9470321],
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[0., 0.,1.]])
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b=6.5
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b=7.15
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# 3d object array. The points of the 3d april tag that coresponds to tag_points which we detect
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objp = np.array([[0,0,0], [b/2, b/2, 0], [-b/2, b/2, 0], [-b/2, -b/2, 0], [b/2, -b/2, 0]], dtype=np.float32)
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# 2d axis array points for drawing cube overlay
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@ -118,7 +118,7 @@ def display_features(image, imgpts, totalDist):
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return image
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# setting up apriltag detection. Make sure this is OUTSIDE the loop next time
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options = apriltag.DetectorOptions(families='tag36h11', border=1, nthreads=4,
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options = apriltag.DetectorOptions(families='tag16h5', border=1, nthreads=4,
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quad_decimate=2.0, quad_blur=0.0, refine_edges=True,
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refine_decode=False, refine_pose=False, debug=False, quad_contours=True)
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detector = apriltag.Detector(options)
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