ellipse matching issues

[aliounis]

• Otsu thresholding only returning n-1 thresholds instead of n thresholds (for 4-level otsu, only get 3)
  • In image_processing.py, line 784 (thresholds = unique_iu8[kk[:n - 2]].astype(np.float64)) should be thresholds = unique_iu8[kk[:n - 1]].astype(np.float64)
• Also in otsu, kk should be sorted after being found in sig_fun
  • Between line 775 and 777 in image_processing.py, needs kk = np.sort(kk)
• Outlier rejection does not perform correctly when body is large in frame
  • If the object is greater that ~50% of the image area, the outlier check in identify_subpixel_limbs does not function as expected
  • Starts on line 1899 in image_processing.py, commenting out lines 1899-1909 did not seem to affect any other cases, including when object was small. Should double check necessity of it
• Potential to run out of memory when object is large in frame
  • In _pixel limbs in image_processing.py, if there are too many edge points (typically when object is large in high resolution image), the line edge_distances = np.abs(perpendicular_direction.reshape(1, 1, 2) @ scan_start2edge_points).squeeze() grabs too much memory leading the process to be killed. Seen mainly during close flybys with image sizes of 2048x2048 or larger. Could potentially do piecewise after a check? Binning image and edge pixels to lower resolution? Have not fixed this one yet, interested in hearing your thoughts.