From ddea3f6e822174def9ad0c1cf4197cc5220943bc Mon Sep 17 00:00:00 2001 From: HiraiKyo Date: Tue, 24 Sep 2024 10:13:12 +0900 Subject: [PATCH] Precise normal from plane, fixed ZeroDivisionError --- README.md | 32 +- .../matrix/get_rotation_from_vectors.py | 4 +- ply_processor_basics/pcd/snapshot.py | 24 +- .../points/ransac/detect_plane.py | 26 +- ply_processor_basics/vector/__init__.py | 2 + ply_processor_basics/vector/estimate.py | 59 + poetry.lock | 1777 +++++++++++++++-- pyproject.toml | 2 +- tests/pcd/test_snapshot.py | 2 + tests/vector/test_estimate.py | 29 + 10 files changed, 1768 insertions(+), 189 deletions(-) create mode 100644 ply_processor_basics/vector/estimate.py create mode 100644 tests/vector/test_estimate.py diff --git a/README.md b/README.md index 76cb357..1a2089e 100644 --- a/README.md +++ b/README.md @@ -8,18 +8,6 @@ Basic libraries for manipulating point cloud. pip install git+https://github.com/HiraiKyo/ply-processor-basics ``` -## Development - -### Running test - -`visual`タグはopen3d.geometry等で表示を確認する用なので、テスト実行時は外す - -```sh -poetry run pytest -s {filepath} -m "not visual" -``` - -TDD開発時にopen3dで表示を確認しつつ進める場合には、そのテストに`@pytest.mark.visual`タグを付けて自動テストに影響しないようにする。 - ## Methods ### STL @@ -30,6 +18,14 @@ TDD開発時にopen3dで表示を確認しつつ進める場合には、その #### `vector.normalize` +#### `vector.estimate_vector` + +ベクトルの集合から四分位範囲で平均ベクトルを算出する + +#### `vector.ensure_consistent_direction` + +基準ベクトル方向にベクトル群を反転する(法線ベクトルが2種類出る対応に用いる) + ### Matrix #### `matrix.get_rotation_from_vectors` @@ -62,3 +58,15 @@ TDD開発時にopen3dで表示を確認しつつ進める場合には、その - 円柱半径: 17.5 - 円柱高さ: 40.0 - エッジ面: 122.0 + +## Development + +### Running test + +`visual`タグはopen3d.geometry等で表示を確認する用なので、テスト実行時は外す + +```sh +poetry run pytest -s {filepath} -m "not visual" +``` + +TDD開発時にopen3dで表示を確認しつつ進める場合には、そのテストに`@pytest.mark.visual`タグを付けて自動テストに影響しないようにする。 diff --git a/ply_processor_basics/matrix/get_rotation_from_vectors.py b/ply_processor_basics/matrix/get_rotation_from_vectors.py index 799ff08..dd7fd92 100644 --- a/ply_processor_basics/matrix/get_rotation_from_vectors.py +++ b/ply_processor_basics/matrix/get_rotation_from_vectors.py @@ -22,7 +22,9 @@ def get_rotation_from_vectors(vec1: NDArray[np.float32], vec2: NDArray[np.float3 if np.allclose(a, b): return np.eye(3) if np.allclose(a, -b): - perpendicular = normalize(np.array([1, 0, 0]) if np.allclose(a, [0, 0, 1]) else np.cross([0, 0, 1], a)) + perpendicular = normalize( + np.array([1, 0, 0]) if np.allclose(a, [0, 0, 1]) or np.allclose(a, [0, 0, -1]) else np.cross([0, 0, 1], a) + ) return Rotation.from_rotvec(np.pi * perpendicular).as_matrix() axis = normalize(np.cross(a, b)) angle = np.arccos(np.clip(np.dot(a, b), -1.0, 1.0)) diff --git a/ply_processor_basics/pcd/snapshot.py b/ply_processor_basics/pcd/snapshot.py index 3c441da..cdb4b88 100644 --- a/ply_processor_basics/pcd/snapshot.py +++ b/ply_processor_basics/pcd/snapshot.py @@ -30,18 +30,24 @@ def snapshot( for pcd in pcds: vis.add_geometry(pcd) - + print(vis) opt = vis.get_render_option() - opt.show_coordinate_frame = True - opt.mesh_show_back_face = True - opt.mesh_show_wireframe = True - opt.background_color = np.asarray([1, 1, 1]) + if opt is None: + print("[ply_processor_basics] Open3d Warning: No render option") + else: + opt.show_coordinate_frame = True + opt.mesh_show_back_face = True + opt.mesh_show_wireframe = True + opt.background_color = np.asarray([1, 1, 1]) ctr = vis.get_view_control() - ctr.set_zoom(cam_zoom) - ctr.set_front(cam_front) - ctr.set_lookat(cam_lookat) - ctr.set_up(cam_up) + if ctr is None: + print("[ply_processor_basics] Open3d Warning: No view control") + else: + ctr.set_zoom(cam_zoom) + ctr.set_front(cam_front) + ctr.set_lookat(cam_lookat) + ctr.set_up(cam_up) for pcd in pcds: vis.update_geometry(pcd) diff --git a/ply_processor_basics/points/ransac/detect_plane.py b/ply_processor_basics/points/ransac/detect_plane.py index 405ffe7..9a0b67a 100644 --- a/ply_processor_basics/points/ransac/detect_plane.py +++ b/ply_processor_basics/points/ransac/detect_plane.py @@ -38,7 +38,7 @@ def __init__(self): self.inliers = [] self.equation = [] - def fit(self, pts, thresh=0.1, minPoints=100, maxIteration=1000): + def fit(self, pts, thresh=0.1, minPoints=100, maxIteration=1000, normal_samples=10): n_points = pts.shape[0] best_eq = [] best_inliers = [] @@ -78,4 +78,28 @@ def fit(self, pts, thresh=0.1, minPoints=100, maxIteration=1000): if len(self.inliers) < minPoints: return [], [] + # # 抽出点群から平面方程式を再推定 + # pt_samples = pts[self.inliers] + # idx = np.random.choice(len(pt_samples), (normal_samples, 3), replace=True) + # vecA = pt_samples[idx[:, 1]] - pt_samples[idx[:, 0]] + # vecB = pt_samples[idx[:, 2]] - pt_samples[idx[:, 0]] + # normals = np.cross(vecA, vecB) + # norms = np.linalg.norm(normals, axis=1) + + # # 有効な法線ベクトルのみを選択(ノルムが閾値以上) + # mask = norms > 1e-6 + # valid_normals = normals[mask] + # valid_norms = norms[mask, np.newaxis] + + # normal_samples = valid_normals / valid_norms + # normal_samples = ensure_consistent_direction(normal_samples) + # normal = estimate_vector(normal_samples) + + # assert np.linalg.norm(normal) > 1e-6 + + # # 平面方程式の最終推定 + # centroid = np.mean(pt_samples, axis=0) + # d = -np.dot(normal, centroid) + # self.equation = np.hstack([normal, d]) + return self.equation, self.inliers diff --git a/ply_processor_basics/vector/__init__.py b/ply_processor_basics/vector/__init__.py index b7fe00a..e00e4a8 100644 --- a/ply_processor_basics/vector/__init__.py +++ b/ply_processor_basics/vector/__init__.py @@ -1 +1,3 @@ +from .estimate import ensure_consistent_direction as ensure_consistent_direction +from .estimate import estimate_vector as estimate_vector from .normalize import normalize as normalize diff --git a/ply_processor_basics/vector/estimate.py b/ply_processor_basics/vector/estimate.py new file mode 100644 index 0000000..03c9000 --- /dev/null +++ b/ply_processor_basics/vector/estimate.py @@ -0,0 +1,59 @@ +import numpy as np +from numpy.typing import NDArray + + +def estimate_vector(vector_samples: NDArray[np.floating]) -> NDArray[np.floating]: + """ + 複数のベクトルから外れ値を考慮した平均ベクトルを推定する + + 外れ値除去の閾値 1.5 * IQR + + :param vector_samples: ベクトルの集合(N, 3) + :return: 推定された平均ベクトル(1, 3) + """ + + # 1. 単位ベクトル化 + vector_samples = np.array(vector_samples) + vector_samples = vector_samples / np.linalg.norm(vector_samples, axis=1)[:, np.newaxis] + + # 2. 平均ベクトルの計算 + mean: NDArray[np.floating] = np.mean(vector_samples, axis=0) + mean = mean / np.linalg.norm(mean) + + # 3. 外れ値の除去 + cos_similarities = np.dot(vector_samples, mean) + q1, q3 = np.percentile(cos_similarities, [25, 75]) + iqr = q3 - q1 + lower_bound = q1 - 1.5 * iqr + upper_bound = q3 + 1.5 * iqr + filtered_samples = vector_samples[(cos_similarities >= lower_bound) & (cos_similarities <= upper_bound)] + + # 4. 最終的なベクトルの計算 + final: NDArray[np.floating] = np.mean(filtered_samples, axis=0) + final = final / np.linalg.norm(final) + + return final + + +def 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[metadata] lock-version = "2.0" python-versions = "^3.8" -content-hash = "5ad2326aa138fc59afde158b778da46ef86be6971755225ca26ad69781664fab" +content-hash = "15b1fa2604ff4bd1c016ce6c46043df2639584f4566422d774e59bfd0ec8e839" diff --git a/pyproject.toml b/pyproject.toml index 7088130..07258eb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,7 +3,7 @@ dev-python = {cmd = "dotenv --file envs/.env.development run -- python", help = [tool.poetry] name = "ply_processor_basics" -version = "0.1.0" +version = "0.4.0" description = "" authors = ["HiraiKyo "] license = "MIT" diff --git a/tests/pcd/test_snapshot.py b/tests/pcd/test_snapshot.py index 53bbb74..43ea501 100644 --- a/tests/pcd/test_snapshot.py +++ b/tests/pcd/test_snapshot.py @@ -7,7 +7,9 @@ from ply_processor_basics.pcd import snapshot +# Skip because open3d 0.13 not viable. 0.18 is required.") @pytest.mark.open3d +@pytest.mark.skip def test_simple(): pcd = o3d.io.read_point_cloud("data/samples/sample.ply") pcd.paint_uniform_color([0.5, 0.5, 0.5]) diff --git a/tests/vector/test_estimate.py b/tests/vector/test_estimate.py new file mode 100644 index 0000000..452e3e1 --- /dev/null +++ b/tests/vector/test_estimate.py @@ -0,0 +1,29 @@ +import numpy as np +import pytest + +from ply_processor_basics.vector import ensure_consistent_direction, estimate_vector + + +@pytest.mark.parametrize( + "vector_samples", + [ + np.asarray( + [ + [-1.01, -1.01, -1], + [1, 1, 1.01], + [1.01, 1, 1], + [1, 1.01, 1], + [1, 1, 1.01], + [1, 1.001, 1], + [1.0001, 1, 1.01], + [1, 1, -1], + [-1, -1, -1], + [-1, -1, -1.01], + ] + ) + ], +) +def test_estimate_vector(vector_samples): + vector_samples = ensure_consistent_direction(vector_samples) + estimated = estimate_vector(vector_samples) + assert np.allclose(estimated, [0.577, 0.577, 0.577], 1e-2) or np.allclose(estimated, [-0.577, -0.577, -0.577], 1e-2)