Use medians for deciding color, seems to work well in practice

1 files changed, 5 insertions, 1 deletions

diff --git a/decoder.py b/decoder.py
index b23d623..235a5f6 100644
--- a/decoder.py
+++ b/decoder.py
@@ -99,7 +99,11 @@ while data is None:
         )
         frame = cv2.warpPerspective(raw_frame, M, (args.width, args.height))
         # Convert to new color space
-        frame = (np.squeeze(F @ (frame - origin)[..., np.newaxis]) >= 160).astype(np.uint8)
+        frame = np.squeeze(F @ (frame - origin)[..., np.newaxis])
+        rmed = np.median(frame[:,:,0])
+        gmed = np.median(frame[:,:,1])
+        bmed = np.median(frame[:,:,2])
+        frame = np.dstack((frame[:,:,0] > rmed, frame[:,:,1] > gmed, frame[:,:,2] > bmed)).astype(np.uint8)
         frame = np.packbits(
             np.concatenate(
                 (