Pose remove legs

src/python/pose_format/pose_header.py

@@ -1,7 +1,7 @@
 import hashlib
 import math
 import struct
-from typing import BinaryIO, List, Tuple
+from typing import BinaryIO, List, Tuple, Optional, Union
 
 from .utils.reader import BufferReader, ConstStructs
 
@@ -21,7 +21,7 @@ class PoseNormalizationInfo:
             Third pose value. Defaults to None.
     """
 
-    def __init__(self, p1: int, p2: int, p3: int = None):
+    def __init__(self, p1: int, p2: int, p3: Optional[int] = None):
         """Initialize a PoseNormalizationInfo instance."""
         self.p1 = p1
         self.p2 = p2
@@ -66,7 +66,7 @@ def __init__(self, name: str, points: List[str], limbs: List[Tuple[int, int]], c
         self.relative_limbs = self.get_relative_limbs()
 
     @staticmethod
-    def read(version: float, reader: BufferReader):
+    def read(version: float, reader: BufferReader) -> 'PoseHeaderComponent':
         """
         Reads pose header dimensions from reader (BufferReader).
 
@@ -183,7 +183,7 @@ def __init__(self, width: int, height: int, depth: int = 0, *args):
         self.depth = math.ceil(depth)
 
     @staticmethod
-    def read(version: float, reader: BufferReader):
+    def read(version: float, reader: BufferReader) -> 'PoseHeaderDimensions':
         """
         Reads and returns a PoseHeaderDimensions object from a buffer reader.
 
@@ -293,6 +293,7 @@ def __init__(self,
         self.components = components
         self.is_bbox = is_bbox
 
+
     @staticmethod
     def read(reader: BufferReader) -> 'PoseHeader':
         """
@@ -376,9 +377,22 @@ def _get_point_index(self, component: str, point: str):
 
         raise ValueError("Couldn't find component")
 
+    def get_point_index(self, component: str, point: str) -> int:
+        """
+        Returns the index of a given point within the pose.
+
+        Args:
+            component (str): The name of the component containing the point.
+            point (str): The name of the point whose index is to be retrieved.
+
+        Raises:
+            ValueError: If the specified component or point is not found.
+        """
+        return self._get_point_index(component, point)
+
     def normalization_info(self, p1: Tuple[str, str], p2: Tuple[str, str], p3: Tuple[str, str] = None):
         """
-        Normalizates info for given points.
+        Normalization info for given points.
 
         Parameters
         ----------
@@ -394,9 +408,9 @@ def normalization_info(self, p1: Tuple[str, str], p2: Tuple[str, str], p3: Tuple
         PoseNormalizationInfo
             Normalization information for the points.
         """
-        return PoseNormalizationInfo(p1=self._get_point_index(*p1),
-                                     p2=self._get_point_index(*p2),
-                                     p3=None if p3 is None else self._get_point_index(*p3))
+        return PoseNormalizationInfo(p1=self.get_point_index(*p1),
+                                     p2=self.get_point_index(*p2),
+                                     p3=None if p3 is None else self.get_point_index(*p3))
 
     def bbox(self):
         """

src/python/pose_format/utils/conftest.py

@@ -20,4 +20,4 @@ def fake_poses(request) -> List[Pose]:
         for i, pose in enumerate(fake_poses_list):
             for component in pose.header.components:
                 component.name = f"unknown_component_{i}_formerly_{component.name}"
-        return copy.deepcopy(fake_poses_list)
+        return [pose.copy() for pose in fake_poses_list]

src/python/pose_format/utils/generic.py

@@ -1,13 +1,13 @@
-from pathlib import Path
 from typing import Tuple, Literal, List, Union
 import copy
 import numpy as np
-from numpy import ma
+import numpy.ma as ma
 from pose_format.pose import Pose
 from pose_format.numpy import NumPyPoseBody
 from pose_format.pose_header import PoseHeader, PoseHeaderDimensions, PoseHeaderComponent, PoseNormalizationInfo
 from pose_format.utils.normalization_3d import PoseNormalizer
 from pose_format.utils.openpose import OpenPose_Components
+from pose_format.utils.openpose import BODY_POINTS as OPENPOSE_BODY_POINTS
 from pose_format.utils.openpose_135 import OpenPose_Components as OpenPose135_Components
 
 # from pose_format.utils.holistic import holistic_components
@@ -62,31 +62,55 @@ def normalize_pose_size(pose: Pose, target_width: int = 512):
     pose.header.dimensions.height = pose.header.dimensions.width = target_width
 
 
-def pose_hide_legs(pose: Pose):
+def pose_hide_legs(pose: Pose, remove: bool = False) -> Pose:
+    """
+    Hide or remove leg components from a pose.
+
+    If `remove` is True, the leg components are removed; otherwise, they are hidden (zeroed out).
+    """
     known_pose_format = detect_known_pose_format(pose)
+
     if known_pose_format == "holistic":
-        point_names = ["KNEE", "ANKLE", "HEEL", "FOOT_INDEX"]
-        # pylint: disable=protected-access
-        points = [
-            pose.header._get_point_index("POSE_LANDMARKS", side + "_" + n)
-            for n in point_names
-            for side in ["LEFT", "RIGHT"]
-        ]
-        pose.body.data[:, :, points, :] = 0
-        pose.body.confidence[:, :, points] = 0
+        point_names = ["KNEE", "ANKLE", "HEEL", "FOOT_INDEX", "HIP"]
+        sides = ["LEFT", "RIGHT"]
+        point_names_to_remove = [f"{side}_{name}" for side in sides for name in point_names]
+        points_to_remove_dict = {
+            "POSE_LANDMARKS": point_names_to_remove,
+            "POSE_WORLD_LANDMARKS": point_names_to_remove,
+        }
+
     elif known_pose_format == "openpose":
-        point_names = ["Hip", "Knee", "Ankle", "BigToe", "SmallToe", "Heel"]
-        # pylint: disable=protected-access
-        points = [
-            pose.header._get_point_index("pose_keypoints_2d", side + n) for n in point_names for side in ["L", "R"]
-        ]
-        pose.body.data[:, :, points, :] = 0
-        pose.body.confidence[:, :, points] = 0
+        words_to_look_for = ["Hip", "Knee", "Ankle", "BigToe", "SmallToe", "Heel"]
+        point_names_to_remove = [point for point in OPENPOSE_BODY_POINTS
+                                 if any(word in point for word in words_to_look_for)]
+
+            # if any of the items in point_
+        points_to_remove_dict = {"pose_keypoints_2d": point_names_to_remove}
+
     else:
         raise NotImplementedError(
             f"Unsupported pose header schema {known_pose_format} for {pose_hide_legs.__name__}: {pose.header}"
         )
 
+    if remove:
+        return pose.remove_components([], points_to_remove_dict)
+
+    # Hide the points instead of removing them
+    point_indices = []
+    for component, points in points_to_remove_dict.items():
+        for point_name in points:
+            try:
+                point_index = pose.header.get_point_index(component, point_name)
+                point_indices.append(point_index)
+            except ValueError: # point not found, maybe removed earlier in other preprocessing steps
+                pass
+
+
+    pose.body.data[:, :, point_indices, :] = 0
+    pose.body.confidence[:, :, point_indices] = 0
+
+    return pose
+
 
 def pose_shoulders(pose_header: PoseHeader) -> Tuple[Tuple[str, str], Tuple[str, str]]:
     known_pose_format = detect_known_pose_format(pose_header)
@@ -109,14 +133,14 @@ def hands_indexes(pose_header: PoseHeader)-> List[int]:
     known_pose_format = detect_known_pose_format(pose_header)
     if known_pose_format == "holistic":
         return [
-            pose_header._get_point_index("LEFT_HAND_LANDMARKS", "MIDDLE_FINGER_MCP"),
-            pose_header._get_point_index("RIGHT_HAND_LANDMARKS", "MIDDLE_FINGER_MCP"),
+            pose_header.get_point_index("LEFT_HAND_LANDMARKS", "MIDDLE_FINGER_MCP"),
+            pose_header.get_point_index("RIGHT_HAND_LANDMARKS", "MIDDLE_FINGER_MCP"),
         ]
 
     if known_pose_format == "openpose":
         return [
-            pose_header._get_point_index("hand_left_keypoints_2d", "M_CMC"),
-            pose_header._get_point_index("hand_right_keypoints_2d", "M_CMC"),
+            pose_header.get_point_index("hand_left_keypoints_2d", "M_CMC"),
+            pose_header.get_point_index("hand_right_keypoints_2d", "M_CMC"),
         ]
     raise NotImplementedError(
         f"Unsupported pose header schema {known_pose_format} for {hands_indexes.__name__}: {pose_header}"
@@ -148,12 +172,12 @@ def hands_components(pose_header: PoseHeader)-> Tuple[Tuple[str, str], Tuple[str
 def normalize_component_3d(pose, component_name: str, plane: Tuple[str, str, str], line: Tuple[str, str]):
     hand_pose = pose.get_components([component_name])
     plane_info = hand_pose.header.normalization_info(
-        p1=(component_name, plane[0]), 
-        p2=(component_name, plane[1]), 
+        p1=(component_name, plane[0]),
+        p2=(component_name, plane[1]),
         p3=(component_name, plane[2])
     )
     line_info = hand_pose.header.normalization_info(
-        p1=(component_name, line[0]), 
+        p1=(component_name, line[0]),
         p2=(component_name, line[1])
         )
 
@@ -176,10 +200,11 @@ def normalize_hands_3d(pose: Pose, left_hand=True, right_hand=True):
 def get_standard_components_for_known_format(known_pose_format: KnownPoseFormat) -> List[PoseHeaderComponent]:
     if known_pose_format == "holistic":
         try:
+            # pylint: disable=import-outside-toplevel
             import pose_format.utils.holistic as holistic_utils
             return holistic_utils.holistic_components()
         except ImportError as e:
-            raise e 
+            raise e
     if known_pose_format == "openpose":
         return OpenPose_Components
     if known_pose_format == "openpose_135":
@@ -191,7 +216,7 @@ def get_standard_components_for_known_format(known_pose_format: KnownPoseFormat)
 def fake_pose(num_frames: int, fps: int=25, components: Union[List[PoseHeaderComponent],None]=None)->Pose:
     if components is None:
         components = copy.deepcopy(OpenPose_Components) # fixes W0102, dangerous default value
-    
+
     if components[0].format == "XYZC":
         dimensions = PoseHeaderDimensions(width=1, height=1, depth=1)
     elif components[0].format == "XYC":
@@ -204,7 +229,6 @@ def fake_pose(num_frames: int, fps: int=25, components: Union[List[PoseHeaderCom
     data = np.random.randn(num_frames, 1, total_points, header.num_dims())
     confidence = np.random.randn(num_frames, 1, total_points)
     masked_data = ma.masked_array(data)
-
 
     body = NumPyPoseBody(fps=int(fps), data=masked_data, confidence=confidence)
 
@@ -214,9 +238,9 @@ def fake_pose(num_frames: int, fps: int=25, components: Union[List[PoseHeaderCom
 def get_hand_wrist_index(pose: Pose, hand: str)-> int:
     known_pose_format = detect_known_pose_format(pose)
     if known_pose_format == "holistic":
-        return pose.header._get_point_index(f"{hand.upper()}_HAND_LANDMARKS", "WRIST")
+        return pose.header.get_point_index(f"{hand.upper()}_HAND_LANDMARKS", "WRIST")
     if known_pose_format == "openpose":
-        return pose.header._get_point_index(f"hand_{hand.lower()}_keypoints_2d", "BASE")
+        return pose.header.get_point_index(f"hand_{hand.lower()}_keypoints_2d", "BASE")
     raise NotImplementedError(
         f"Unsupported pose header schema {known_pose_format} for {get_hand_wrist_index.__name__}: {pose.header}"
     )
@@ -225,9 +249,9 @@ def get_hand_wrist_index(pose: Pose, hand: str)-> int:
 def get_body_hand_wrist_index(pose: Pose, hand: str)-> int:
     known_pose_format = detect_known_pose_format(pose)
     if known_pose_format == "holistic":
-        return pose.header._get_point_index("POSE_LANDMARKS", f"{hand.upper()}_WRIST")
+        return pose.header.get_point_index("POSE_LANDMARKS", f"{hand.upper()}_WRIST")
     if known_pose_format == "openpose":
-        return pose.header._get_point_index("pose_keypoints_2d", f"{hand.upper()[0]}Wrist")
+        return pose.header.get_point_index("pose_keypoints_2d", f"{hand.upper()[0]}Wrist")
     raise NotImplementedError(
         f"Unsupported pose header schema {known_pose_format} for {get_body_hand_wrist_index.__name__}: {pose.header}"
     )
@@ -244,7 +268,7 @@ def correct_wrist(pose: Pose, hand: str) -> Pose:
     body_wrist_conf = pose.body.confidence[:, :, body_wrist_index]
 
     point_coordinate_count = wrist.shape[-1]
-    stacked_conf = np.stack([wrist_conf] * point_coordinate_count, axis=-1) 
+    stacked_conf = np.stack([wrist_conf] * point_coordinate_count, axis=-1)
     new_wrist_data = ma.where(stacked_conf == 0, body_wrist, wrist)
     new_wrist_conf = ma.where(wrist_conf == 0, body_wrist_conf, wrist_conf)
 
@@ -263,7 +287,7 @@ def reduce_holistic(pose: Pose) -> Pose:
     known_pose_format = detect_known_pose_format(pose)
     if known_pose_format != "holistic":
         return pose
-
+    # pylint: disable=pointless-string-statement
     """
     # from mediapipe.python.solutions.face_mesh_connections import FACEMESH_CONTOURS
     # points_set = set([p for p_tup in list(FACEMESH_CONTOURS) for p in p_tup])