ransac

aimodel.py

@@ -241,7 +241,7 @@ def read_meter(img:Image.Image|str|Path, fl, fl_ft):
     X = np.concatenate([kg_cm2_theta, psi_theta])
     data = np.stack([X, Y], axis=1)    
     # run ransac to robustly fit a line model 
-    lm, inliers = ransac(data, LineModelND, min_samples=2, 
+    lm, inliers = ransac(data, LineModelND, min_samples=3, 
            residual_threshold=15, 
            max_trials=2)