upgrade pyre version in fbcode/mapillary - batch 1

Differential Revision: D60994471

fbshipit-source-id: 9fdcfea8f07fc6b2c711a03ec1c919d37623d852

opensfm/features.py

@@ -516,6 +516,7 @@ def extract_features_hahog(
         uchar_scaling = 512
 
     if config["hahog_normalize_to_uchar"]:
+        # pyre-fixme[16]: `int` has no attribute `clip`.
         desc = (uchar_scaling * desc).clip(0, 255).round()
 
     logger.debug("Found {0} points in {1}s".format(len(points), time.time() - t))

opensfm/io.py

@@ -1098,6 +1098,7 @@ def reconstruction_to_ply(
                 for depth in np.linspace(0, 2, 10):
                     p = o + depth * R[axis]
                     s = "{} {} {} {} {} {}".format(
+                        # pyre-fixme[16]: `int` has no attribute `__getitem__`.
                         p[0], p[1], p[2], int(c[0]), int(c[1]), int(c[2])
                     )
                     if point_num_views:

opensfm/multiview.py

@@ -464,6 +464,7 @@ def R_from_homography(
 def project_to_rotation_matrix(A: np.ndarray) -> Optional[np.ndarray]:
     try:
         u, d, vt = np.linalg.svd(A)
+    # pyre-fixme[16]: Module `linalg` has no attribute `LinAlgError`.
     except np.linalg.linalg.LinAlgError:
         return None
     return u.dot(vt)

opensfm/synthetic_data/synthetic_generator.py

@@ -219,6 +219,8 @@ def _gps_dop(shot: pymap.Shot) -> float:
             origin = shot.pose.get_origin()
 
             if causal_gps_noise:
+                # pyre-fixme[61]: `perturbations_2d` is undefined, or not always
+                #  defined.
                 gps_perturbation = [perturbations_2d[j][i] for j in range(2)] + [0]
             else:
                 gps_noise = _gps_dop(shot)

opensfm/test/test_bundle.py

@@ -108,14 +108,27 @@ def test_bundle_projection_fixed_internals(scene_synthetic) -> None:
                 color = g_obs["feature_color"]
                 pt = g_obs["feature"]
                 obs = pymap.Observation(
+                    # pyre-fixme[6]: For 1st argument expected `str` but got `int`.
                     pt[0],
+                    # pyre-fixme[6]: For 1st argument expected `str` but got `int`.
                     pt[1],
+                    # pyre-fixme[6]: For 3rd argument expected `float` but got
+                    #  `Dict[str, typing.Any]`.
                     g_obs["feature_scale"],
+                    # pyre-fixme[6]: For 1st argument expected `str` but got `int`.
                     color[0],
+                    # pyre-fixme[6]: For 1st argument expected `str` but got `int`.
                     color[1],
+                    # pyre-fixme[6]: For 1st argument expected `str` but got `int`.
                     color[2],
+                    # pyre-fixme[6]: For 7th argument expected `int` but got
+                    #  `Dict[str, typing.Any]`.
                     g_obs["feature_id"],
+                    # pyre-fixme[6]: For 8th argument expected `int` but got
+                    #  `Dict[str, typing.Any]`.
                     g_obs["feature_segmentation"],
+                    # pyre-fixme[6]: For 9th argument expected `int` but got
+                    #  `Dict[str, typing.Any]`.
                     g_obs["feature_instance"],
                 )
                 reference.map.add_observation(shot_id, point_id, obs)

opensfm/test/test_multiview.py

@@ -13,12 +13,15 @@ def normalized(x: np.ndarray) -> np.ndarray:
 
 def test_motion_from_plane_homography() -> None:
     R = tf.random_rotation_matrix()[:3, :3]
+    # pyre-fixme[6]: For 1st argument expected `ndarray` but got `int`.
     t = normalized(2 * np.random.rand(3) - 1)
+    # pyre-fixme[6]: For 1st argument expected `ndarray` but got `int`.
     n = normalized(2 * np.random.rand(3) - 1)
     d = 2 * np.random.rand() - 1
     scale = 2 * np.random.rand() - 1
     H = scale * (d * R - np.outer(t, n))
 
+    # pyre-fixme[6]: For 1st argument expected `ndarray` but got `int`.
     motions = multiview.motion_from_plane_homography(H)
     assert motions is not None
     goodness = []

opensfm/test/test_robust.py

@@ -261,6 +261,7 @@ def test_outliers_relative_pose_ransac(pairs_and_their_E) -> None:
         inliers_count = (1 - ratio_outliers) * len(points)
         assert np.isclose(len(result.inliers_indices), inliers_count, rtol=tolerance)
 
+    # pyre-fixme[61]: `expected` is undefined, or not always defined.
     assert np.linalg.norm(expected - result.lo_model, ord="fro") < 16e-2