Updated DockerFile to use a specific tag in the FROM command

deepof/model_utils.py

@@ -287,7 +287,9 @@ class neighbor_latent_entropy(tf.keras.callbacks.Callback):
             with writer.as_default():
                 tf.summary.scalar(
                     "average_neighborhood_cluster_entropy",
-                    data=np.average(purity_vector),#, weights=max_groups[random_idxs]),
+                    data=np.average(
+                        purity_vector
+                    ),  # , weights=max_groups[random_idxs]),
                     step=epoch,
                 )
                 tf.summary.scalar(

deepof/utils.py

@@ -556,13 +556,13 @@ def circular_arena_recognition(frame: np.array) -> np.array:
 
     # Convert image to greyscale, threshold it, blur it and apply open-close operations
     gray_image = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
-    ret, thresh = cv2.threshold(gray_image, 90, 255, 0)
+    ret, thresh = cv2.threshold(gray_image, 255 // 2, 255, 0)
     frame = cv2.medianBlur(thresh, 9)
     frame = cv2.morphologyEx(
-        frame, cv2.MORPH_CLOSE, cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (80, 80))
+        frame, cv2.MORPH_CLOSE, cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (50, 50))
     )
     frame = cv2.morphologyEx(
-        frame, cv2.MORPH_OPEN, cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (80, 80))
+        frame, cv2.MORPH_OPEN, cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (50, 50))
     )
 
     # Find contours in the processed image

tests/test_pose_utils.py

@@ -121,7 +121,7 @@ def test_climb_wall(center, axes, angle, tol):
         climb_wall("", arena, prun["test"], tol1, nose="Nose")
 
 
-@settings(deadline=None)
+@settings(deadline=None, suppress_health_check=[HealthCheck.too_slow])
 @given(
     pos_dframe=data_frames(
         index=range_indexes(min_size=5),