From 0283b15b73ce60f1b32238fdb8309f3666a43dd9 Mon Sep 17 00:00:00 2001
From: t-cobrien <55260388+catherineobrien@users.noreply.github.com>
Date: Fri, 12 Dec 2025 00:58:08 +0100
Subject: [PATCH 1/8] Added .pose functionality for mmpose. Currently, there is
 a bug with legs.

---
 poses/FOOTBALL.pose                           |   Bin 0 -> 586207 bytes
 poses/mmposewholebody/FOOTBALL.pose           |   Bin 0 -> 100811 bytes
 poses/mmposewholebody/SOUP.pose               |   Bin 0 -> 67295 bytes
 .../mmposewholebody/predictions/FOOTBALL.json | 42472 ++++++++++++++++
 poses/mmposewholebody/predictions/SOUP.json   | 28087 ++++++++++
 .../visualizations/FOOTBALL.mp4               |   Bin 0 -> 659861 bytes
 poses/mmposewholebody/visualizations/SOUP.mp4 |   Bin 0 -> 275365 bytes
 src/python/pose_format/bin/pose_estimation.py |    29 +-
 .../pose_format/utils/mmposewholebody.py      |   210 +
 videos/FOOTBALL.mp4                           |   Bin 0 -> 69147 bytes
 videos/SOUP.mp4                               |   Bin 0 -> 64956 bytes
 11 files changed, 70793 insertions(+), 5 deletions(-)
 create mode 100644 poses/FOOTBALL.pose
 create mode 100644 poses/mmposewholebody/FOOTBALL.pose
 create mode 100644 poses/mmposewholebody/SOUP.pose
 create mode 100644 poses/mmposewholebody/predictions/FOOTBALL.json
 create mode 100644 poses/mmposewholebody/predictions/SOUP.json
 create mode 100644 poses/mmposewholebody/visualizations/FOOTBALL.mp4
 create mode 100644 poses/mmposewholebody/visualizations/SOUP.mp4
 create mode 100644 src/python/pose_format/utils/mmposewholebody.py
 create mode 100644 videos/FOOTBALL.mp4
 create mode 100644 videos/SOUP.mp4

diff --git a/poses/FOOTBALL.pose b/poses/FOOTBALL.pose
new file mode 100644
index 0000000000000000000000000000000000000000..2ddc5db8a96484989cbabd8189e6aae57a5c9ea6
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new file mode 100644
index 0000000..1dcfbd4
--- /dev/null
+++ b/poses/mmposewholebody/predictions/FOOTBALL.json
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\ No newline at end of file
diff --git a/poses/mmposewholebody/predictions/SOUP.json b/poses/mmposewholebody/predictions/SOUP.json
new file mode 100644
index 0000000..f454208
--- /dev/null
+++ b/poses/mmposewholebody/predictions/SOUP.json
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diff --git a/src/python/pose_format/bin/pose_estimation.py b/src/python/pose_format/bin/pose_estimation.py
index 748e86a..2b1fba9 100644
--- a/src/python/pose_format/bin/pose_estimation.py
+++ b/src/python/pose_format/bin/pose_estimation.py
@@ -4,6 +4,7 @@
 
 import cv2
 from pose_format.utils.holistic import load_holistic
+from pose_format.utils.mmposewholebody import load_mmposewholebody
 
 
 def load_video_frames(cap: cv2.VideoCapture):
@@ -15,7 +16,8 @@ def load_video_frames(cap: cv2.VideoCapture):
     cap.release()
 
 
-def pose_video(input_path: str, output_path: str, format: str, additional_config: dict = {'model_complexity': 1}, progress: bool = True):
+def pose_video(input_path: str, output_path: str, format: str, use_cpu: bool, additional_config: dict = {'model_complexity': 1}, progress: bool = True):
+    
     # Load video frames
     print('Loading video ...')
     cap = cv2.VideoCapture(input_path)
@@ -33,12 +35,25 @@ def pose_video(input_path: str, output_path: str, format: str, additional_config
                              height=height,
                              progress=progress,
                              additional_holistic_config=additional_config)
+    elif format == 'mmposewholebody':
+        pose = load_mmposewholebody(input_path,
+                            output_path, 
+                            use_cpu=use_cpu,
+                            fps=fps,
+                            width=width,
+                            height=height)
     else:
         raise NotImplementedError('Pose format not supported')
 
+    # Build output filename
+    video_name = os.path.splitext(os.path.basename(input_path))[0]   # "SOUP" from ".../SOUP.mp4"
+    output_pose_file_path = os.path.join(output_path, f"{video_name}.pose")
+    os.makedirs(output_path, exist_ok=True)
+
     # Write
-    print('Saving to disk ...')
-    with open(output_path, "wb") as f:
+    print(f'Saving to disk at path {output_pose_file_path}')
+
+    with open(output_pose_file_path, "wb") as f:
         pose.write(f)
 
 
@@ -70,10 +85,14 @@ def main():
     parser.add_argument('-i', required=True, type=str, help='path to input video file')
     parser.add_argument('-o', required=True, type=str, help='path to output pose file')
     parser.add_argument('--format',
-                        choices=['mediapipe'],
+                        choices=['mediapipe', 'mmposewholebody'],
                         default='mediapipe',
                         type=str,
                         help='type of pose estimation to use')
+    parser.add_argument('--usecpu', 
+                        default=False,
+                        type=bool, 
+                        help='option to use CPU for pose estimation (if supported)')
     parser.add_argument('--additional-config', type=str, help='additional configuration for the pose estimator')
 
     args = parser.parse_args()
@@ -82,7 +101,7 @@ def main():
         raise FileNotFoundError(f"Video file {args.i} not found")
 
     additional_config = parse_additional_config(args.additional_config)
-    pose_video(args.i, args.o, args.format, additional_config)
+    pose_video(args.i, args.o, args.format, args.usecpu, additional_config)
 
     # pip install . && video_to_pose -i como.mp4 -o como1.pose --format mediapipe
     # pip install . && video_to_pose -i como.mp4 -o como2.pose --format mediapipe --additional-config="model_complexity=2,smooth_landmarks=false,refine_face_landmarks=true"
diff --git a/src/python/pose_format/utils/mmposewholebody.py b/src/python/pose_format/utils/mmposewholebody.py
new file mode 100644
index 0000000..d8bfd38
--- /dev/null
+++ b/src/python/pose_format/utils/mmposewholebody.py
@@ -0,0 +1,210 @@
+import numpy as np
+from tqdm import tqdm
+from ..numpy.pose_body import NumPyPoseBody
+from ..pose import Pose
+from ..pose_header import PoseHeader, PoseHeaderComponent, PoseHeaderDimensions
+import mmcv, mmengine, mmdet, mmpose
+from mmpose.apis import MMPoseInferencer
+
+def mmposewholebody_components():
+    """
+    Creates a list of mmposewholebody components.
+    
+    Returns
+    -------
+    list of PoseHeaderComponent
+        List of holistic components.
+    """
+    BODY_POINTS = [
+        "nose","left_eye","right_eye","left_ear","right_ear",
+        "left_shoulder","right_shoulder","left_elbow","right_elbow",
+        "left_wrist","right_wrist","left_hip","right_hip",
+        "left_knee","right_knee","left_ankle","right_ankle",
+        "left_big_toe","left_small_toe","left_heel",
+        "right_big_toe","right_small_toe","right_heel",
+    ]
+
+    FACE_POINTS = [f"face-{i}" for i in range(68)]
+    LEFT_HAND_POINTS = [f"left_hand_{i}" for i in range(21)]
+    RIGHT_HAND_POINTS = [f"right_hand_{i}" for i in range(21)]
+
+    def map_limbs(points, limbs):
+        index_map = {name: idx for idx, name in enumerate(points)}
+        return [
+            (index_map[a], index_map[b])
+            for (a, b) in limbs
+        ]
+
+    BODY_LIMBS_NAMES = [
+        ("left_ankle", "left_knee"),
+        ("left_knee", "left_hip"),
+        ("right_ankle", "right_knee"),
+        ("right_knee", "right_hip"),
+        ("left_hip", "right_hip"),
+        ("left_shoulder", "left_hip"),
+        ("right_shoulder", "right_hip"),
+        ("left_shoulder", "right_shoulder"),
+        ("left_shoulder", "left_elbow"),
+        ("right_shoulder", "right_elbow"),
+        ("left_elbow", "left_wrist"),
+        ("right_elbow", "right_wrist"),
+        ("left_eye", "right_eye"),
+        ("nose", "left_eye"),
+        ("nose", "right_eye"),
+        ("left_eye", "left_ear"),
+        ("right_eye", "right_ear"),
+        ("left_ear", "left_shoulder"),
+        ("right_ear", "right_shoulder"),
+        ("left_ankle", "left_big_toe"),
+        ("left_ankle", "left_small_toe"),
+        ("left_ankle", "left_heel"),
+        ("right_ankle", "right_big_toe"),
+        ("right_ankle", "right_small_toe"),
+        ("right_ankle", "right_heel"),
+    ]
+
+    LEFT_HAND_LIMBS_NAMES = [
+        ("left_hand_0", "left_hand_1"), ("left_hand_1", "left_hand_2"),
+        ("left_hand_2", "left_hand_3"), ("left_hand_3", "left_hand_4"),
+        ("left_hand_0", "left_hand_5"), ("left_hand_5", "left_hand_6"),
+        ("left_hand_6", "left_hand_7"), ("left_hand_7", "left_hand_8"),
+        ("left_hand_0", "left_hand_9"), ("left_hand_9", "left_hand_10"),
+        ("left_hand_10", "left_hand_11"), ("left_hand_11", "left_hand_12"),
+        ("left_hand_0", "left_hand_13"), ("left_hand_13", "left_hand_14"),
+        ("left_hand_14", "left_hand_15"), ("left_hand_15", "left_hand_16"),
+        ("left_hand_0", "left_hand_17"), ("left_hand_17", "left_hand_18"),
+        ("left_hand_18", "left_hand_19"), ("left_hand_19", "left_hand_20"),
+    ]
+
+    RIGHT_HAND_LIMBS_NAMES = [
+        ("right_hand_0", "right_hand_1"), ("right_hand_1", "right_hand_2"),
+        ("right_hand_2", "right_hand_3"), ("right_hand_3", "right_hand_4"),
+        ("right_hand_0", "right_hand_5"), ("right_hand_5", "right_hand_6"),
+        ("right_hand_6", "right_hand_7"), ("right_hand_7", "right_hand_8"),
+        ("right_hand_0", "right_hand_9"), ("right_hand_9", "right_hand_10"),
+        ("right_hand_10", "right_hand_11"), ("right_hand_11", "right_hand_12"),
+        ("right_hand_0", "right_hand_13"), ("right_hand_13", "right_hand_14"),
+        ("right_hand_14", "right_hand_15"), ("right_hand_15", "right_hand_16"),
+        ("right_hand_0", "right_hand_17"), ("right_hand_17", "right_hand_18"),
+        ("right_hand_18", "right_hand_19"), ("right_hand_19", "right_hand_20"),
+    ]
+
+    components = [
+        PoseHeaderComponent(
+            name="BODY",
+            points=BODY_POINTS,
+            limbs= map_limbs(BODY_POINTS, BODY_LIMBS_NAMES),  
+            colors=[(0,255,0)],
+            point_format="XYC"
+        ),
+
+        PoseHeaderComponent(
+            name="FACE",
+            points=FACE_POINTS,
+            limbs=[],   # WholeBody face mesh is huge, usually omitted
+            colors=[(255,255,255)],
+            point_format="XYC"
+        ),
+
+        PoseHeaderComponent(
+            name="LEFT_HAND",
+            points=LEFT_HAND_POINTS,
+            limbs= map_limbs(LEFT_HAND_POINTS, LEFT_HAND_LIMBS_NAMES), 
+            colors=[(0,255,0)],
+            point_format="XYC"
+        ),
+
+        PoseHeaderComponent(
+            name="RIGHT_HAND",
+            points=RIGHT_HAND_POINTS,
+            limbs= map_limbs(RIGHT_HAND_POINTS, RIGHT_HAND_LIMBS_NAMES),
+            colors=[(255,128,0)],
+            point_format="XYC"
+        ),
+    ]
+    return components
+
+def load_mmposewholebody(input_path: str, 
+                  output_path: str,
+                  use_cpu: bool,
+                  fps: float = 24,
+                  width=1000,
+                  height=1000,
+                  depth=0) -> Pose:
+    """
+    Loads mmposewholebody pose data
+
+    Parameters
+    ----------
+    video_path : string
+        Path to input video file.
+
+    Returns
+    -------
+    Pose
+        Loaded pose data with header and body 
+    """
+    print("Loading pose with mmposewholebody...")
+
+    dimensions = PoseHeaderDimensions(width=width, height=height, depth=depth)
+
+    header: PoseHeader = PoseHeader(version=0.1,
+                                    dimensions=dimensions,
+                                    components=mmposewholebody_components())
+    body: NumPyPoseBody = process_mmposewholebody(input_path, output_path, fps, use_cpu)
+
+    print(f'Pose loaded. {Pose(header, body)}')
+    return Pose(header, body)
+
+def process_mmposewholebody(input_path, output_path, fps, use_cpu) -> NumPyPoseBody:
+    """
+    Process frames to extract mmposewholebody pose data.
+
+    Parameters
+    ----------
+
+    Returns
+    -------
+    NumPyPoseBody
+        Processed pose body data.
+    """
+
+    # instantiate the inferencer using the model alias
+    if use_cpu:
+        print("Warning: compiling MMPoseWholeBody on CPU, this may be slow.")
+        inferencer = MMPoseInferencer('wholebody', device='cpu')
+    else:
+        inferencer = MMPoseInferencer('wholebody')
+
+    visualization_path = output_path
+    result_generator = inferencer(
+        input_path,
+        show=False, 
+        save_vis=False, 
+        return_vis=True,
+        save_out_video=True,
+        out_dir=visualization_path)  
+    print("MMPoseWholeBody processing complete.")
+
+    frames_data = []
+    frames_conf = []
+
+
+    for result in result_generator: 
+        predictions_by_frame = result['predictions'] # each result represents one frame
+        person_keypoints = []
+        person_conf = []
+
+        for predictions_by_person in predictions_by_frame:
+            person_keypoints.append(predictions_by_person[0]['keypoints'])  # (num_keypoints, 2) array
+            person_conf.append(predictions_by_person[0]['keypoint_scores'])  # (num_keypoints) array
+            # TODO use this: https://github.com/open-mmlab/mmpose/blob/main/configs/_base_/datasets/coco_wholebody.py
+        
+        frames_data.append(person_keypoints)
+        frames_conf.append(person_conf)
+
+    data_array = np.array(frames_data)        # (frames, people, points, 2)
+    conf_array = np.array(frames_conf)         # (frames, people, points)
+
+    return NumPyPoseBody(fps=fps, data=data_array, confidence=conf_array)
+
diff --git a/videos/FOOTBALL.mp4 b/videos/FOOTBALL.mp4
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HcmV?d00001


From fd605077035e075fe40d615f7f1ee96c5aef7a1a Mon Sep 17 00:00:00 2001
From: t-cobrien <55260388+catherineobrien@users.noreply.github.com>
Date: Tue, 16 Dec 2025 11:08:18 +0100
Subject: [PATCH 2/8] Mmpose note

---
 src/python/pose_format/utils/mmposewholebody.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/src/python/pose_format/utils/mmposewholebody.py b/src/python/pose_format/utils/mmposewholebody.py
index d8bfd38..9636aed 100644
--- a/src/python/pose_format/utils/mmposewholebody.py
+++ b/src/python/pose_format/utils/mmposewholebody.py
@@ -1,3 +1,5 @@
+# based on code from https://github.com/open-mmlab/mmpose/blob/main/configs/_base_/datasets/coco_wholebody.py
+
 import numpy as np
 from tqdm import tqdm
 from ..numpy.pose_body import NumPyPoseBody
@@ -13,7 +15,7 @@ def mmposewholebody_components():
     Returns
     -------
     list of PoseHeaderComponent
-        List of holistic components.
+        List of MMPoseWholeBody components.
     """
     BODY_POINTS = [
         "nose","left_eye","right_eye","left_ear","right_ear",
@@ -184,12 +186,13 @@ def process_mmposewholebody(input_path, output_path, fps, use_cpu) -> NumPyPoseB
         return_vis=True,
         save_out_video=True,
         out_dir=visualization_path)  
-    print("MMPoseWholeBody processing complete.")
+    print("MMPoseWholeBody pose estimation complete. Beginning conversion to .pose format...")
 
     frames_data = []
     frames_conf = []
 
 
+    # Convert to NumPyPoseBody format
     for result in result_generator: 
         predictions_by_frame = result['predictions'] # each result represents one frame
         person_keypoints = []

From c3e87ef6539269130ca01e097819d6526955df4d Mon Sep 17 00:00:00 2001
From: t-cobrien <55260388+catherineobrien@users.noreply.github.com>
Date: Wed, 17 Dec 2025 11:43:01 +0100
Subject: [PATCH 3/8] Added openpifpaf pose estimation

---
 poses/openpifpaf/SOUP.pose                 | Bin 0 -> 67295 bytes
 src/python/pose_format/utils/openpifpaf.py | 210 +++++++++++++++++++++
 2 files changed, 210 insertions(+)
 create mode 100644 poses/openpifpaf/SOUP.pose
 create mode 100644 src/python/pose_format/utils/openpifpaf.py

diff --git a/poses/openpifpaf/SOUP.pose b/poses/openpifpaf/SOUP.pose
new file mode 100644
index 0000000000000000000000000000000000000000..6502d04720358cadd37f344e9bb86335087e479d
GIT binary patch
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diff --git a/src/python/pose_format/utils/openpifpaf.py b/src/python/pose_format/utils/openpifpaf.py
new file mode 100644
index 0000000..9288996
--- /dev/null
+++ b/src/python/pose_format/utils/openpifpaf.py
@@ -0,0 +1,210 @@
+import openpifpaf
+import PIL
+import numpy as np
+
+from ..numpy.pose_body import NumPyPoseBody
+from ..pose import Pose
+from ..pose_header import PoseHeader, PoseHeaderComponent, PoseHeaderDimensions
+
+def openpifpaf_components(): # mmpose and openpifpaf both use COCO WholeBody, so they can use the same header
+    """
+    Creates a list of mmposewholebody components.
+    
+    Returns
+    -------
+    list of PoseHeaderComponent
+        List of MMPoseWholeBody components.
+    """
+    BODY_POINTS = [
+        "nose","left_eye","right_eye","left_ear","right_ear",
+        "left_shoulder","right_shoulder","left_elbow","right_elbow",
+        "left_wrist","right_wrist","left_hip","right_hip",
+        "left_knee","right_knee","left_ankle","right_ankle",
+        "left_big_toe","left_small_toe","left_heel",
+        "right_big_toe","right_small_toe","right_heel",
+    ]
+
+    FACE_POINTS = [f"face-{i}" for i in range(68)]
+    LEFT_HAND_POINTS = [f"left_hand_{i}" for i in range(21)]
+    RIGHT_HAND_POINTS = [f"right_hand_{i}" for i in range(21)]
+
+    def map_limbs(points, limbs):
+        index_map = {name: idx for idx, name in enumerate(points)}
+        return [
+            (index_map[a], index_map[b])
+            for (a, b) in limbs
+        ]
+
+    BODY_LIMBS_NAMES = [
+        ("left_ankle", "left_knee"),
+        ("left_knee", "left_hip"),
+        ("right_ankle", "right_knee"),
+        ("right_knee", "right_hip"),
+        ("left_hip", "right_hip"),
+        ("left_shoulder", "left_hip"),
+        ("right_shoulder", "right_hip"),
+        ("left_shoulder", "right_shoulder"),
+        ("left_shoulder", "left_elbow"),
+        ("right_shoulder", "right_elbow"),
+        ("left_elbow", "left_wrist"),
+        ("right_elbow", "right_wrist"),
+        ("left_eye", "right_eye"),
+        ("nose", "left_eye"),
+        ("nose", "right_eye"),
+        ("left_eye", "left_ear"),
+        ("right_eye", "right_ear"),
+        ("left_ear", "left_shoulder"),
+        ("right_ear", "right_shoulder"),
+        ("left_ankle", "left_big_toe"),
+        ("left_ankle", "left_small_toe"),
+        ("left_ankle", "left_heel"),
+        ("right_ankle", "right_big_toe"),
+        ("right_ankle", "right_small_toe"),
+        ("right_ankle", "right_heel"),
+    ]
+
+    LEFT_HAND_LIMBS_NAMES = [
+        ("left_hand_0", "left_hand_1"), ("left_hand_1", "left_hand_2"),
+        ("left_hand_2", "left_hand_3"), ("left_hand_3", "left_hand_4"),
+        ("left_hand_0", "left_hand_5"), ("left_hand_5", "left_hand_6"),
+        ("left_hand_6", "left_hand_7"), ("left_hand_7", "left_hand_8"),
+        ("left_hand_0", "left_hand_9"), ("left_hand_9", "left_hand_10"),
+        ("left_hand_10", "left_hand_11"), ("left_hand_11", "left_hand_12"),
+        ("left_hand_0", "left_hand_13"), ("left_hand_13", "left_hand_14"),
+        ("left_hand_14", "left_hand_15"), ("left_hand_15", "left_hand_16"),
+        ("left_hand_0", "left_hand_17"), ("left_hand_17", "left_hand_18"),
+        ("left_hand_18", "left_hand_19"), ("left_hand_19", "left_hand_20"),
+    ]
+
+    RIGHT_HAND_LIMBS_NAMES = [
+        ("right_hand_0", "right_hand_1"), ("right_hand_1", "right_hand_2"),
+        ("right_hand_2", "right_hand_3"), ("right_hand_3", "right_hand_4"),
+        ("right_hand_0", "right_hand_5"), ("right_hand_5", "right_hand_6"),
+        ("right_hand_6", "right_hand_7"), ("right_hand_7", "right_hand_8"),
+        ("right_hand_0", "right_hand_9"), ("right_hand_9", "right_hand_10"),
+        ("right_hand_10", "right_hand_11"), ("right_hand_11", "right_hand_12"),
+        ("right_hand_0", "right_hand_13"), ("right_hand_13", "right_hand_14"),
+        ("right_hand_14", "right_hand_15"), ("right_hand_15", "right_hand_16"),
+        ("right_hand_0", "right_hand_17"), ("right_hand_17", "right_hand_18"),
+        ("right_hand_18", "right_hand_19"), ("right_hand_19", "right_hand_20"),
+    ]
+
+    components = [
+        PoseHeaderComponent(
+            name="BODY",
+            points=BODY_POINTS,
+            limbs= map_limbs(BODY_POINTS, BODY_LIMBS_NAMES),  
+            colors=[(0,255,0)],
+            point_format="XYC"
+        ),
+
+        PoseHeaderComponent(
+            name="FACE",
+            points=FACE_POINTS,
+            limbs=[],   # WholeBody face mesh is huge, usually omitted
+            colors=[(255,255,255)],
+            point_format="XYC"
+        ),
+
+        PoseHeaderComponent(
+            name="LEFT_HAND",
+            points=LEFT_HAND_POINTS,
+            limbs= map_limbs(LEFT_HAND_POINTS, LEFT_HAND_LIMBS_NAMES), 
+            colors=[(0,255,0)],
+            point_format="XYC"
+        ),
+
+        PoseHeaderComponent(
+            name="RIGHT_HAND",
+            points=RIGHT_HAND_POINTS,
+            limbs= map_limbs(RIGHT_HAND_POINTS, RIGHT_HAND_LIMBS_NAMES),
+            colors=[(255,128,0)],
+            point_format="XYC"
+        ),
+    ]
+    return components
+
+def process_openpifpaf(frames: list, fps: float) -> NumPyPoseBody:
+    """
+    Process frames to extract openpifpaf pose data.
+
+    Parameters
+    ----------
+    input_path : string
+        Path to input video file.
+    output_path : string
+        Path to output pose file.
+    fps : float
+        Frames per second of the video.
+    use_cpu : bool
+        Whether to use CPU for processing.
+
+    Returns
+    -------
+    NumPyPoseBody
+        Processed pose body data.
+    """
+
+    print("Processing video with OpenPifPaf...")
+    predictor = openpifpaf.Predictor(checkpoint='shufflenetv2k30-wholebody')
+
+    frames_data = []
+    frames_conf = []
+
+    for frame in frames:
+
+        pil_im = PIL.Image.fromarray(frame).convert('RGB')
+        predictions, gt_anns, image_meta = predictor.pil_image(pil_im)
+
+        people_xy = []
+        people_conf = []
+
+        for ann in predictions:
+            # ann.data shape: (133, 3) -> x, y, confidence
+            keypoints = ann.data[:, :2]
+            confidence = ann.data[:, 2]
+
+            people_xy.append(keypoints)
+            people_conf.append(confidence)
+
+        frames_data.append(people_xy)
+        frames_conf.append(people_conf)
+
+    data_array = np.array(frames_data, dtype=np.float32)
+    conf_array = np.array(frames_conf, dtype=np.float32)
+
+    return NumPyPoseBody(
+        fps=fps,
+        data=data_array,
+        confidence=conf_array
+    )
+
+def estimate_and_load_openpifpaf(frames: list,
+                  fps: float = 24,
+                  width=1000,
+                  height=1000) -> Pose:
+    """
+    Loads openpifpaf pose data
+
+    Parameters
+    ----------
+    video_path : string
+        Path to input video file.
+
+    Returns
+    -------
+    Pose
+        Loaded pose data with header and body 
+    """
+    print("Loading pose with OpenPifPaf...")
+
+    dimensions = PoseHeaderDimensions(width=width, height=height)
+
+    header: PoseHeader = PoseHeader(version=0.1,
+                                    dimensions=dimensions,
+                                    components=openpifpaf_components())
+    body: NumPyPoseBody = process_openpifpaf(frames, fps)
+
+    print(f'Pose loaded. {Pose(header, body)}')
+    return Pose(header, body)
+

From 3b4a2cb46320791140f1b50cc28065f5c05999e6 Mon Sep 17 00:00:00 2001
From: t-cobrien <55260388+catherineobrien@users.noreply.github.com>
Date: Wed, 17 Dec 2025 11:43:47 +0100
Subject: [PATCH 4/8] Added openpifpaf to the CLI

---
 src/python/pose_format/bin/pose_estimation.py | 20 +++++++++++++++----
 1 file changed, 16 insertions(+), 4 deletions(-)

diff --git a/src/python/pose_format/bin/pose_estimation.py b/src/python/pose_format/bin/pose_estimation.py
index 2b1fba9..66945c1 100644
--- a/src/python/pose_format/bin/pose_estimation.py
+++ b/src/python/pose_format/bin/pose_estimation.py
@@ -1,10 +1,7 @@
 #!/usr/bin/env python
 import argparse
 import os
-
 import cv2
-from pose_format.utils.holistic import load_holistic
-from pose_format.utils.mmposewholebody import load_mmposewholebody
 
 
 def load_video_frames(cap: cv2.VideoCapture):
@@ -29,13 +26,28 @@ def pose_video(input_path: str, output_path: str, format: str, use_cpu: bool, ad
     # Perform pose estimation
     print('Estimating pose ...')
     if format == 'mediapipe':
+        from pose_format.utils.holistic import load_holistic
         pose = load_holistic(frames,
                              fps=fps,
                              width=width,
                              height=height,
                              progress=progress,
                              additional_holistic_config=additional_config)
+    elif format == 'openpose':
+        from pose_format.utils.openpose import estimate_and_load_openpose
+        pose = estimate_and_load_openpose(input_path, 
+                            output_path,   
+                            fps=fps, 
+                            width=width,
+                            height=height)
+    elif format == 'openpifpaf':
+        from pose_format.utils.openpifpaf import estimate_and_load_openpifpaf
+        pose = estimate_and_load_openpifpaf(frames,
+                            fps=fps, 
+                            width=width,
+                            height=height)
     elif format == 'mmposewholebody':
+        from pose_format.utils.mmposewholebody import load_mmposewholebody
         pose = load_mmposewholebody(input_path,
                             output_path, 
                             use_cpu=use_cpu,
@@ -85,7 +97,7 @@ def main():
     parser.add_argument('-i', required=True, type=str, help='path to input video file')
     parser.add_argument('-o', required=True, type=str, help='path to output pose file')
     parser.add_argument('--format',
-                        choices=['mediapipe', 'mmposewholebody'],
+                        choices=['mediapipe', 'mmposewholebody', 'openpose', 'openpifpaf'],
                         default='mediapipe',
                         type=str,
                         help='type of pose estimation to use')

From 059cbfcae1ba57cc95e3d260d0e9ce87dd01f1b0 Mon Sep 17 00:00:00 2001
From: t-cobrien <55260388+catherineobrien@users.noreply.github.com>
Date: Wed, 17 Dec 2025 13:18:31 +0100
Subject: [PATCH 5/8] Added shared cocowholebody-133 header and fixed cpu for
 openpifpaf

---
 src/python/pose_format/bin/pose_estimation.py |   1 +
 .../utils/cocowholebody133_header.py          | 120 ++++++++++++++++
 .../pose_format/utils/mmposewholebody.py      | 118 +--------------
 src/python/pose_format/utils/openpifpaf.py    | 136 ++----------------
 4 files changed, 137 insertions(+), 238 deletions(-)
 create mode 100644 src/python/pose_format/utils/cocowholebody133_header.py

diff --git a/src/python/pose_format/bin/pose_estimation.py b/src/python/pose_format/bin/pose_estimation.py
index 66945c1..161c302 100644
--- a/src/python/pose_format/bin/pose_estimation.py
+++ b/src/python/pose_format/bin/pose_estimation.py
@@ -44,6 +44,7 @@ def pose_video(input_path: str, output_path: str, format: str, use_cpu: bool, ad
         from pose_format.utils.openpifpaf import estimate_and_load_openpifpaf
         pose = estimate_and_load_openpifpaf(frames,
                             fps=fps, 
+                            use_cpu=use_cpu,
                             width=width,
                             height=height)
     elif format == 'mmposewholebody':
diff --git a/src/python/pose_format/utils/cocowholebody133_header.py b/src/python/pose_format/utils/cocowholebody133_header.py
new file mode 100644
index 0000000..06334b1
--- /dev/null
+++ b/src/python/pose_format/utils/cocowholebody133_header.py
@@ -0,0 +1,120 @@
+from ..pose_header import PoseHeaderComponent
+
+
+def cocowholebody_components():
+    """
+    Creates a list of COCO-Wholebody 133 components.
+    
+    Returns
+    -------
+    list of PoseHeaderComponent
+        List of COCO-Wholebody 133 components.
+    """
+    BODY_POINTS = [
+        "nose","left_eye","right_eye","left_ear","right_ear",
+        "left_shoulder","right_shoulder","left_elbow","right_elbow",
+        "left_wrist","right_wrist","left_hip","right_hip",
+        "left_knee","right_knee","left_ankle","right_ankle",
+        "left_big_toe","left_small_toe","left_heel",
+        "right_big_toe","right_small_toe","right_heel",
+    ]
+
+    FACE_POINTS = [f"face-{i}" for i in range(68)]
+    LEFT_HAND_POINTS = [f"left_hand_{i}" for i in range(21)]
+    RIGHT_HAND_POINTS = [f"right_hand_{i}" for i in range(21)]
+
+    def map_limbs(points, limbs):
+        index_map = {name: idx for idx, name in enumerate(points)}
+        return [
+            (index_map[a], index_map[b])
+            for (a, b) in limbs
+        ]
+
+    BODY_LIMBS_NAMES = [
+        ("left_ankle", "left_knee"),
+        ("left_knee", "left_hip"),
+        ("right_ankle", "right_knee"),
+        ("right_knee", "right_hip"),
+        ("left_hip", "right_hip"),
+        ("left_shoulder", "left_hip"),
+        ("right_shoulder", "right_hip"),
+        ("left_shoulder", "right_shoulder"),
+        ("left_shoulder", "left_elbow"),
+        ("right_shoulder", "right_elbow"),
+        ("left_elbow", "left_wrist"),
+        ("right_elbow", "right_wrist"),
+        ("left_eye", "right_eye"),
+        ("nose", "left_eye"),
+        ("nose", "right_eye"),
+        ("left_eye", "left_ear"),
+        ("right_eye", "right_ear"),
+        ("left_ear", "left_shoulder"),
+        ("right_ear", "right_shoulder"),
+        ("left_ankle", "left_big_toe"),
+        ("left_ankle", "left_small_toe"),
+        ("left_ankle", "left_heel"),
+        ("right_ankle", "right_big_toe"),
+        ("right_ankle", "right_small_toe"),
+        ("right_ankle", "right_heel"),
+    ]
+
+    LEFT_HAND_LIMBS_NAMES = [
+        ("left_hand_0", "left_hand_1"), ("left_hand_1", "left_hand_2"),
+        ("left_hand_2", "left_hand_3"), ("left_hand_3", "left_hand_4"),
+        ("left_hand_0", "left_hand_5"), ("left_hand_5", "left_hand_6"),
+        ("left_hand_6", "left_hand_7"), ("left_hand_7", "left_hand_8"),
+        ("left_hand_0", "left_hand_9"), ("left_hand_9", "left_hand_10"),
+        ("left_hand_10", "left_hand_11"), ("left_hand_11", "left_hand_12"),
+        ("left_hand_0", "left_hand_13"), ("left_hand_13", "left_hand_14"),
+        ("left_hand_14", "left_hand_15"), ("left_hand_15", "left_hand_16"),
+        ("left_hand_0", "left_hand_17"), ("left_hand_17", "left_hand_18"),
+        ("left_hand_18", "left_hand_19"), ("left_hand_19", "left_hand_20"),
+    ]
+
+    RIGHT_HAND_LIMBS_NAMES = [
+        ("right_hand_0", "right_hand_1"), ("right_hand_1", "right_hand_2"),
+        ("right_hand_2", "right_hand_3"), ("right_hand_3", "right_hand_4"),
+        ("right_hand_0", "right_hand_5"), ("right_hand_5", "right_hand_6"),
+        ("right_hand_6", "right_hand_7"), ("right_hand_7", "right_hand_8"),
+        ("right_hand_0", "right_hand_9"), ("right_hand_9", "right_hand_10"),
+        ("right_hand_10", "right_hand_11"), ("right_hand_11", "right_hand_12"),
+        ("right_hand_0", "right_hand_13"), ("right_hand_13", "right_hand_14"),
+        ("right_hand_14", "right_hand_15"), ("right_hand_15", "right_hand_16"),
+        ("right_hand_0", "right_hand_17"), ("right_hand_17", "right_hand_18"),
+        ("right_hand_18", "right_hand_19"), ("right_hand_19", "right_hand_20"),
+    ]
+
+    components = [
+        PoseHeaderComponent(
+            name="BODY",
+            points=BODY_POINTS,
+            limbs= map_limbs(BODY_POINTS, BODY_LIMBS_NAMES),  
+            colors=[(0,255,0)],
+            point_format="XYC"
+        ),
+
+        PoseHeaderComponent(
+            name="FACE",
+            points=FACE_POINTS,
+            limbs=[],   # WholeBody face mesh is huge, usually omitted
+            colors=[(255,255,255)],
+            point_format="XYC"
+        ),
+
+        PoseHeaderComponent(
+            name="LEFT_HAND",
+            points=LEFT_HAND_POINTS,
+            limbs= map_limbs(LEFT_HAND_POINTS, LEFT_HAND_LIMBS_NAMES), 
+            colors=[(0,255,0)],
+            point_format="XYC"
+        ),
+
+        PoseHeaderComponent(
+            name="RIGHT_HAND",
+            points=RIGHT_HAND_POINTS,
+            limbs= map_limbs(RIGHT_HAND_POINTS, RIGHT_HAND_LIMBS_NAMES),
+            colors=[(255,128,0)],
+            point_format="XYC"
+        ),
+    ]
+    return components
\ No newline at end of file
diff --git a/src/python/pose_format/utils/mmposewholebody.py b/src/python/pose_format/utils/mmposewholebody.py
index 9636aed..364e612 100644
--- a/src/python/pose_format/utils/mmposewholebody.py
+++ b/src/python/pose_format/utils/mmposewholebody.py
@@ -7,124 +7,10 @@
 from ..pose_header import PoseHeader, PoseHeaderComponent, PoseHeaderDimensions
 import mmcv, mmengine, mmdet, mmpose
 from mmpose.apis import MMPoseInferencer
+from pose_format.utils.cocowholebody133_header import cocowholebody_components
 
 def mmposewholebody_components():
-    """
-    Creates a list of mmposewholebody components.
-    
-    Returns
-    -------
-    list of PoseHeaderComponent
-        List of MMPoseWholeBody components.
-    """
-    BODY_POINTS = [
-        "nose","left_eye","right_eye","left_ear","right_ear",
-        "left_shoulder","right_shoulder","left_elbow","right_elbow",
-        "left_wrist","right_wrist","left_hip","right_hip",
-        "left_knee","right_knee","left_ankle","right_ankle",
-        "left_big_toe","left_small_toe","left_heel",
-        "right_big_toe","right_small_toe","right_heel",
-    ]
-
-    FACE_POINTS = [f"face-{i}" for i in range(68)]
-    LEFT_HAND_POINTS = [f"left_hand_{i}" for i in range(21)]
-    RIGHT_HAND_POINTS = [f"right_hand_{i}" for i in range(21)]
-
-    def map_limbs(points, limbs):
-        index_map = {name: idx for idx, name in enumerate(points)}
-        return [
-            (index_map[a], index_map[b])
-            for (a, b) in limbs
-        ]
-
-    BODY_LIMBS_NAMES = [
-        ("left_ankle", "left_knee"),
-        ("left_knee", "left_hip"),
-        ("right_ankle", "right_knee"),
-        ("right_knee", "right_hip"),
-        ("left_hip", "right_hip"),
-        ("left_shoulder", "left_hip"),
-        ("right_shoulder", "right_hip"),
-        ("left_shoulder", "right_shoulder"),
-        ("left_shoulder", "left_elbow"),
-        ("right_shoulder", "right_elbow"),
-        ("left_elbow", "left_wrist"),
-        ("right_elbow", "right_wrist"),
-        ("left_eye", "right_eye"),
-        ("nose", "left_eye"),
-        ("nose", "right_eye"),
-        ("left_eye", "left_ear"),
-        ("right_eye", "right_ear"),
-        ("left_ear", "left_shoulder"),
-        ("right_ear", "right_shoulder"),
-        ("left_ankle", "left_big_toe"),
-        ("left_ankle", "left_small_toe"),
-        ("left_ankle", "left_heel"),
-        ("right_ankle", "right_big_toe"),
-        ("right_ankle", "right_small_toe"),
-        ("right_ankle", "right_heel"),
-    ]
-
-    LEFT_HAND_LIMBS_NAMES = [
-        ("left_hand_0", "left_hand_1"), ("left_hand_1", "left_hand_2"),
-        ("left_hand_2", "left_hand_3"), ("left_hand_3", "left_hand_4"),
-        ("left_hand_0", "left_hand_5"), ("left_hand_5", "left_hand_6"),
-        ("left_hand_6", "left_hand_7"), ("left_hand_7", "left_hand_8"),
-        ("left_hand_0", "left_hand_9"), ("left_hand_9", "left_hand_10"),
-        ("left_hand_10", "left_hand_11"), ("left_hand_11", "left_hand_12"),
-        ("left_hand_0", "left_hand_13"), ("left_hand_13", "left_hand_14"),
-        ("left_hand_14", "left_hand_15"), ("left_hand_15", "left_hand_16"),
-        ("left_hand_0", "left_hand_17"), ("left_hand_17", "left_hand_18"),
-        ("left_hand_18", "left_hand_19"), ("left_hand_19", "left_hand_20"),
-    ]
-
-    RIGHT_HAND_LIMBS_NAMES = [
-        ("right_hand_0", "right_hand_1"), ("right_hand_1", "right_hand_2"),
-        ("right_hand_2", "right_hand_3"), ("right_hand_3", "right_hand_4"),
-        ("right_hand_0", "right_hand_5"), ("right_hand_5", "right_hand_6"),
-        ("right_hand_6", "right_hand_7"), ("right_hand_7", "right_hand_8"),
-        ("right_hand_0", "right_hand_9"), ("right_hand_9", "right_hand_10"),
-        ("right_hand_10", "right_hand_11"), ("right_hand_11", "right_hand_12"),
-        ("right_hand_0", "right_hand_13"), ("right_hand_13", "right_hand_14"),
-        ("right_hand_14", "right_hand_15"), ("right_hand_15", "right_hand_16"),
-        ("right_hand_0", "right_hand_17"), ("right_hand_17", "right_hand_18"),
-        ("right_hand_18", "right_hand_19"), ("right_hand_19", "right_hand_20"),
-    ]
-
-    components = [
-        PoseHeaderComponent(
-            name="BODY",
-            points=BODY_POINTS,
-            limbs= map_limbs(BODY_POINTS, BODY_LIMBS_NAMES),  
-            colors=[(0,255,0)],
-            point_format="XYC"
-        ),
-
-        PoseHeaderComponent(
-            name="FACE",
-            points=FACE_POINTS,
-            limbs=[],   # WholeBody face mesh is huge, usually omitted
-            colors=[(255,255,255)],
-            point_format="XYC"
-        ),
-
-        PoseHeaderComponent(
-            name="LEFT_HAND",
-            points=LEFT_HAND_POINTS,
-            limbs= map_limbs(LEFT_HAND_POINTS, LEFT_HAND_LIMBS_NAMES), 
-            colors=[(0,255,0)],
-            point_format="XYC"
-        ),
-
-        PoseHeaderComponent(
-            name="RIGHT_HAND",
-            points=RIGHT_HAND_POINTS,
-            limbs= map_limbs(RIGHT_HAND_POINTS, RIGHT_HAND_LIMBS_NAMES),
-            colors=[(255,128,0)],
-            point_format="XYC"
-        ),
-    ]
-    return components
+    return cocowholebody_components()
 
 def load_mmposewholebody(input_path: str, 
                   output_path: str,
diff --git a/src/python/pose_format/utils/openpifpaf.py b/src/python/pose_format/utils/openpifpaf.py
index 9288996..3166745 100644
--- a/src/python/pose_format/utils/openpifpaf.py
+++ b/src/python/pose_format/utils/openpifpaf.py
@@ -1,130 +1,17 @@
 import openpifpaf
 import PIL
 import numpy as np
+import torch 
 
 from ..numpy.pose_body import NumPyPoseBody
 from ..pose import Pose
-from ..pose_header import PoseHeader, PoseHeaderComponent, PoseHeaderDimensions
+from ..pose_header import PoseHeader, PoseHeaderDimensions
+from pose_format.utils.cocowholebody133_header import cocowholebody_components
 
-def openpifpaf_components(): # mmpose and openpifpaf both use COCO WholeBody, so they can use the same header
-    """
-    Creates a list of mmposewholebody components.
-    
-    Returns
-    -------
-    list of PoseHeaderComponent
-        List of MMPoseWholeBody components.
-    """
-    BODY_POINTS = [
-        "nose","left_eye","right_eye","left_ear","right_ear",
-        "left_shoulder","right_shoulder","left_elbow","right_elbow",
-        "left_wrist","right_wrist","left_hip","right_hip",
-        "left_knee","right_knee","left_ankle","right_ankle",
-        "left_big_toe","left_small_toe","left_heel",
-        "right_big_toe","right_small_toe","right_heel",
-    ]
-
-    FACE_POINTS = [f"face-{i}" for i in range(68)]
-    LEFT_HAND_POINTS = [f"left_hand_{i}" for i in range(21)]
-    RIGHT_HAND_POINTS = [f"right_hand_{i}" for i in range(21)]
-
-    def map_limbs(points, limbs):
-        index_map = {name: idx for idx, name in enumerate(points)}
-        return [
-            (index_map[a], index_map[b])
-            for (a, b) in limbs
-        ]
-
-    BODY_LIMBS_NAMES = [
-        ("left_ankle", "left_knee"),
-        ("left_knee", "left_hip"),
-        ("right_ankle", "right_knee"),
-        ("right_knee", "right_hip"),
-        ("left_hip", "right_hip"),
-        ("left_shoulder", "left_hip"),
-        ("right_shoulder", "right_hip"),
-        ("left_shoulder", "right_shoulder"),
-        ("left_shoulder", "left_elbow"),
-        ("right_shoulder", "right_elbow"),
-        ("left_elbow", "left_wrist"),
-        ("right_elbow", "right_wrist"),
-        ("left_eye", "right_eye"),
-        ("nose", "left_eye"),
-        ("nose", "right_eye"),
-        ("left_eye", "left_ear"),
-        ("right_eye", "right_ear"),
-        ("left_ear", "left_shoulder"),
-        ("right_ear", "right_shoulder"),
-        ("left_ankle", "left_big_toe"),
-        ("left_ankle", "left_small_toe"),
-        ("left_ankle", "left_heel"),
-        ("right_ankle", "right_big_toe"),
-        ("right_ankle", "right_small_toe"),
-        ("right_ankle", "right_heel"),
-    ]
-
-    LEFT_HAND_LIMBS_NAMES = [
-        ("left_hand_0", "left_hand_1"), ("left_hand_1", "left_hand_2"),
-        ("left_hand_2", "left_hand_3"), ("left_hand_3", "left_hand_4"),
-        ("left_hand_0", "left_hand_5"), ("left_hand_5", "left_hand_6"),
-        ("left_hand_6", "left_hand_7"), ("left_hand_7", "left_hand_8"),
-        ("left_hand_0", "left_hand_9"), ("left_hand_9", "left_hand_10"),
-        ("left_hand_10", "left_hand_11"), ("left_hand_11", "left_hand_12"),
-        ("left_hand_0", "left_hand_13"), ("left_hand_13", "left_hand_14"),
-        ("left_hand_14", "left_hand_15"), ("left_hand_15", "left_hand_16"),
-        ("left_hand_0", "left_hand_17"), ("left_hand_17", "left_hand_18"),
-        ("left_hand_18", "left_hand_19"), ("left_hand_19", "left_hand_20"),
-    ]
-
-    RIGHT_HAND_LIMBS_NAMES = [
-        ("right_hand_0", "right_hand_1"), ("right_hand_1", "right_hand_2"),
-        ("right_hand_2", "right_hand_3"), ("right_hand_3", "right_hand_4"),
-        ("right_hand_0", "right_hand_5"), ("right_hand_5", "right_hand_6"),
-        ("right_hand_6", "right_hand_7"), ("right_hand_7", "right_hand_8"),
-        ("right_hand_0", "right_hand_9"), ("right_hand_9", "right_hand_10"),
-        ("right_hand_10", "right_hand_11"), ("right_hand_11", "right_hand_12"),
-        ("right_hand_0", "right_hand_13"), ("right_hand_13", "right_hand_14"),
-        ("right_hand_14", "right_hand_15"), ("right_hand_15", "right_hand_16"),
-        ("right_hand_0", "right_hand_17"), ("right_hand_17", "right_hand_18"),
-        ("right_hand_18", "right_hand_19"), ("right_hand_19", "right_hand_20"),
-    ]
-
-    components = [
-        PoseHeaderComponent(
-            name="BODY",
-            points=BODY_POINTS,
-            limbs= map_limbs(BODY_POINTS, BODY_LIMBS_NAMES),  
-            colors=[(0,255,0)],
-            point_format="XYC"
-        ),
-
-        PoseHeaderComponent(
-            name="FACE",
-            points=FACE_POINTS,
-            limbs=[],   # WholeBody face mesh is huge, usually omitted
-            colors=[(255,255,255)],
-            point_format="XYC"
-        ),
-
-        PoseHeaderComponent(
-            name="LEFT_HAND",
-            points=LEFT_HAND_POINTS,
-            limbs= map_limbs(LEFT_HAND_POINTS, LEFT_HAND_LIMBS_NAMES), 
-            colors=[(0,255,0)],
-            point_format="XYC"
-        ),
-
-        PoseHeaderComponent(
-            name="RIGHT_HAND",
-            points=RIGHT_HAND_POINTS,
-            limbs= map_limbs(RIGHT_HAND_POINTS, RIGHT_HAND_LIMBS_NAMES),
-            colors=[(255,128,0)],
-            point_format="XYC"
-        ),
-    ]
-    return components
-
-def process_openpifpaf(frames: list, fps: float) -> NumPyPoseBody:
+def openpifpaf_components(): 
+    return cocowholebody_components()
+
+def process_openpifpaf(frames: list, fps: float, use_cpu: bool) -> NumPyPoseBody:
     """
     Process frames to extract openpifpaf pose data.
 
@@ -146,7 +33,12 @@ def process_openpifpaf(frames: list, fps: float) -> NumPyPoseBody:
     """
 
     print("Processing video with OpenPifPaf...")
+    
+    device = torch.device('cpu' if use_cpu or not torch.cuda.is_available() else 'cuda')
     predictor = openpifpaf.Predictor(checkpoint='shufflenetv2k30-wholebody')
+    predictor.model.to(device)
+    if device.type == 'cpu':
+        print("Warning: using CPU for OpenPifPaf processing may be very slow.")
 
     frames_data = []
     frames_conf = []
@@ -181,6 +73,7 @@ def process_openpifpaf(frames: list, fps: float) -> NumPyPoseBody:
 
 def estimate_and_load_openpifpaf(frames: list,
                   fps: float = 24,
+                  use_cpu: bool = False,
                   width=1000,
                   height=1000) -> Pose:
     """
@@ -203,8 +96,7 @@ def estimate_and_load_openpifpaf(frames: list,
     header: PoseHeader = PoseHeader(version=0.1,
                                     dimensions=dimensions,
                                     components=openpifpaf_components())
-    body: NumPyPoseBody = process_openpifpaf(frames, fps)
+    body: NumPyPoseBody = process_openpifpaf(frames, fps, use_cpu)
 
-    print(f'Pose loaded. {Pose(header, body)}')
     return Pose(header, body)
 

From d20bb0ddf7592b4f18637d4e7419be1a3e4f6bdb Mon Sep 17 00:00:00 2001
From: catherine-o-brien <catherineelizabeth.obrien@uzh.ch>
Date: Wed, 21 Jan 2026 19:03:53 +0100
Subject: [PATCH 6/8] Removed legs from mmpose. Also deactivated mmpose
 outputting of .mp4 and .json files.

---
 src/python/pose_format/utils/mmposewholebody.py | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/src/python/pose_format/utils/mmposewholebody.py b/src/python/pose_format/utils/mmposewholebody.py
index 364e612..8a8b86a 100644
--- a/src/python/pose_format/utils/mmposewholebody.py
+++ b/src/python/pose_format/utils/mmposewholebody.py
@@ -69,9 +69,9 @@ def process_mmposewholebody(input_path, output_path, fps, use_cpu) -> NumPyPoseB
         input_path,
         show=False, 
         save_vis=False, 
-        return_vis=True,
-        save_out_video=True,
-        out_dir=visualization_path)  
+        return_vis=False,
+        save_out_video=False)
+            #out_dir=visualization_path  #TODO: make saving of visualizations and json to disk toggleable
     print("MMPoseWholeBody pose estimation complete. Beginning conversion to .pose format...")
 
     frames_data = []
@@ -95,5 +95,10 @@ def process_mmposewholebody(input_path, output_path, fps, use_cpu) -> NumPyPoseB
     data_array = np.array(frames_data)        # (frames, people, points, 2)
     conf_array = np.array(frames_conf)         # (frames, people, points)
 
+    # Replace leg keypoints with zeros
+    LEG_IDXS = list(range(13, 23))
+    data_array[:, :, LEG_IDXS, :] = 0
+    conf_array[:, :, LEG_IDXS] = 0
+
     return NumPyPoseBody(fps=fps, data=data_array, confidence=conf_array)
 

From 7328d77671a38d87bf421e50ed4b4399b36bd509 Mon Sep 17 00:00:00 2001
From: catherine-o-brien <catherineelizabeth.obrien@uzh.ch>
Date: Sat, 24 Jan 2026 20:47:52 +0100
Subject: [PATCH 7/8] Added pose reading functionality for cocowholebody

---
 src/python/pose_format/utils/generic.py       | 37 ++++++++++++++++++-
 .../pose_format/utils/mmposewholebody.py      |  5 ---
 2 files changed, 35 insertions(+), 7 deletions(-)

diff --git a/src/python/pose_format/utils/generic.py b/src/python/pose_format/utils/generic.py
index 653d9ae..3316bea 100644
--- a/src/python/pose_format/utils/generic.py
+++ b/src/python/pose_format/utils/generic.py
@@ -13,7 +13,7 @@
 # from pose_format.utils.holistic import holistic_components
 # The import above creates an error: ImportError: Please install mediapipe with: pip install mediapipe
 
-KnownPoseFormat = Literal["holistic", "openpose", "openpose_135"]
+KnownPoseFormat = Literal["holistic", "openpose", "openpose_135", "coco_wholebody_133"]
 
 
 def get_component_names(
@@ -41,6 +41,13 @@ def detect_known_pose_format(pose_or_header: Union[Pose,PoseHeader]) -> KnownPos
 
     openpose_135_components = [c.name for c in OpenPose135_Components]
 
+    coco_wholebody_133_components = [
+        "BODY", 
+        "FACE", 
+        "LEFT_HAND", 
+        "RIGHT_HAND"
+    ]
+
     for component_name in component_names:
         if component_name in mediapipe_components:
             return "holistic"
@@ -48,6 +55,8 @@ def detect_known_pose_format(pose_or_header: Union[Pose,PoseHeader]) -> KnownPos
             return "openpose"
         if component_name in openpose_135_components:
             return "openpose_135"
+        if component_name in coco_wholebody_133_components:
+            return "coco_wholebody_133"
 
     raise ValueError(
         f"Could not detect pose format, unknown pose header schema with component names: {component_names}"
@@ -87,6 +96,9 @@ def pose_hide_legs(pose: Pose, remove: bool = False) -> Pose:
             # if any of the items in point_
         points_to_remove_dict = {"pose_keypoints_2d": point_names_to_remove}
 
+    elif known_pose_format == "coco_wholebody_133":
+        points_to_remove_dict = {"pose_keypoints_2d": list([str(i) for i in range(13, 23)])} # cocowholebody133 legs are points 13-22
+
     else:
         raise NotImplementedError(
             f"Unsupported pose header schema {known_pose_format} for {pose_hide_legs.__name__}: {pose.header}"
@@ -111,7 +123,9 @@ def pose_hide_legs(pose: Pose, remove: bool = False) -> Pose:
 
     return pose
 
-
+'''
+Returns a tuple of tuples containing the component and point names for the right and left shoulders.
+'''
 def pose_shoulders(pose_header: PoseHeader) -> Tuple[Tuple[str, str], Tuple[str, str]]:
     known_pose_format = detect_known_pose_format(pose_header)
 
@@ -123,6 +137,9 @@ def pose_shoulders(pose_header: PoseHeader) -> Tuple[Tuple[str, str], Tuple[str,
 
     if known_pose_format == "openpose":
         return ("pose_keypoints_2d", "RShoulder"), ("pose_keypoints_2d", "LShoulder")
+    
+    if known_pose_format == "coco_wholebody_133":
+        return ("BODY_POINTS", "right_shoulder"), ("BODY_POINTS", "left_shoulder")
 
     raise NotImplementedError(
         f"Unsupported pose header schema {known_pose_format} for {pose_shoulders.__name__}: {pose_header}"
@@ -142,6 +159,12 @@ def hands_indexes(pose_header: PoseHeader)-> List[int]:
             pose_header.get_point_index("hand_left_keypoints_2d", "M_CMC"),
             pose_header.get_point_index("hand_right_keypoints_2d", "M_CMC"),
         ]
+    if known_pose_format == "coco_wholebody_133":
+        return [
+            #not sure this is correct, unclear what this is being used for
+            pose_header.get_point_index("LEFT_HAND_POINTS", "left_hand_0"),
+            pose_header.get_point_index("RIGHT_HAND_POINTS", "right_hand_0"),
+        ]
     raise NotImplementedError(
         f"Unsupported pose header schema {known_pose_format} for {hands_indexes.__name__}: {pose_header}"
     )
@@ -164,6 +187,12 @@ def hands_components(pose_header: PoseHeader)-> Tuple[Tuple[str, str], Tuple[str
     if known_pose_format == "openpose":
         return ("hand_left_keypoints_2d", "hand_right_keypoints_2d"), ("BASE", "P_CMC", "I_CMC"), ("BASE", "M_CMC")
 
+    if known_pose_format == "coco_wholebody_133":
+        # LEFT_HAND and RIGHT_HAND are component names
+        # Plane: points 0 (wrist), 5 (pinky base), 17 (index base)
+        # Line: points 0 (wrist) to 9 (middle finger)
+        return ("LEFT_HAND", "RIGHT_HAND"), ("0", "5", "17"), ("0", "9")
+        
     raise NotImplementedError(
         f"Unsupported pose header schema '{known_pose_format}' for {hands_components.__name__}: {pose_header}"
     )
@@ -241,6 +270,8 @@ def get_hand_wrist_index(pose: Pose, hand: str)-> int:
         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")
+    if known_pose_format == "coco_wholebody_133":
+        return pose.header.get_point_index(f"{hand.upper()}_HAND_POINTS", "0")  # wrist is point 0
     raise NotImplementedError(
         f"Unsupported pose header schema {known_pose_format} for {get_hand_wrist_index.__name__}: {pose.header}"
     )
@@ -252,6 +283,8 @@ def get_body_hand_wrist_index(pose: Pose, hand: str)-> int:
         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")
+    if known_pose_format == "coco_wholebody_133":
+        return pose.header.get_point_index("BODY_POINTS", f"{hand.lower()}_wrist")
     raise NotImplementedError(
         f"Unsupported pose header schema {known_pose_format} for {get_body_hand_wrist_index.__name__}: {pose.header}"
     )
diff --git a/src/python/pose_format/utils/mmposewholebody.py b/src/python/pose_format/utils/mmposewholebody.py
index 8a8b86a..29e8cf9 100644
--- a/src/python/pose_format/utils/mmposewholebody.py
+++ b/src/python/pose_format/utils/mmposewholebody.py
@@ -95,10 +95,5 @@ def process_mmposewholebody(input_path, output_path, fps, use_cpu) -> NumPyPoseB
     data_array = np.array(frames_data)        # (frames, people, points, 2)
     conf_array = np.array(frames_conf)         # (frames, people, points)
 
-    # Replace leg keypoints with zeros
-    LEG_IDXS = list(range(13, 23))
-    data_array[:, :, LEG_IDXS, :] = 0
-    conf_array[:, :, LEG_IDXS] = 0
-
     return NumPyPoseBody(fps=fps, data=data_array, confidence=conf_array)
 

From 851a26309d1d525f874022d72958926b30f3ae7d Mon Sep 17 00:00:00 2001
From: catherine-o-brien <catherineelizabeth.obrien@uzh.ch>
Date: Sat, 24 Jan 2026 21:05:57 +0100
Subject: [PATCH 8/8] Fixed incorrect pose component names

---
 src/python/pose_format/utils/generic.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/python/pose_format/utils/generic.py b/src/python/pose_format/utils/generic.py
index 3316bea..c8b8d58 100644
--- a/src/python/pose_format/utils/generic.py
+++ b/src/python/pose_format/utils/generic.py
@@ -139,7 +139,7 @@ def pose_shoulders(pose_header: PoseHeader) -> Tuple[Tuple[str, str], Tuple[str,
         return ("pose_keypoints_2d", "RShoulder"), ("pose_keypoints_2d", "LShoulder")
     
     if known_pose_format == "coco_wholebody_133":
-        return ("BODY_POINTS", "right_shoulder"), ("BODY_POINTS", "left_shoulder")
+        return ("BODY", "right_shoulder"), ("BODY", "left_shoulder")
 
     raise NotImplementedError(
         f"Unsupported pose header schema {known_pose_format} for {pose_shoulders.__name__}: {pose_header}"
@@ -162,8 +162,8 @@ def hands_indexes(pose_header: PoseHeader)-> List[int]:
     if known_pose_format == "coco_wholebody_133":
         return [
             #not sure this is correct, unclear what this is being used for
-            pose_header.get_point_index("LEFT_HAND_POINTS", "left_hand_0"),
-            pose_header.get_point_index("RIGHT_HAND_POINTS", "right_hand_0"),
+            pose_header.get_point_index("LEFT_HAND", "left_hand_0"),
+            pose_header.get_point_index("RIGHT_HAND", "right_hand_0"),
         ]
     raise NotImplementedError(
         f"Unsupported pose header schema {known_pose_format} for {hands_indexes.__name__}: {pose_header}"