feat(appearance): remove dependency on pose vq

Author: AmitMY

pose_anonymization/appearance.py

@@ -5,6 +5,8 @@
 from pose_format.numpy import NumPyPoseBody
 from pose_format.utils.generic import pose_normalization_info
 
+from pose_anonymization.data import load_mean_and_std, load_pose_header
+
 
 def normalize_pose_size(pose: Pose):
     new_width = 200
@@ -58,8 +60,6 @@ def change_appearace(pose: Pose, appearance: np.ndarray):
 
 @lru_cache(maxsize=1)
 def get_mean_appearance():
-    # pylint: disable=import-outside-toplevel
-    from sign_vq.data.normalize import load_mean_and_std, load_pose_header
     mean, _ = load_mean_and_std()
 
     data = mean.reshape((1, 1, -1, 3)) * 1000

pose_anonymization/data/__init__.py

@@ -0,0 +1,33 @@
+from functools import lru_cache
+from pathlib import Path
+
+import numpy as np
+from pose_format import PoseHeader
+from pose_format.utils.reader import BufferReader
+
+CURRENT_DIR = Path(__file__).parent
+
+
+@lru_cache(maxsize=1)
+def load_pose_header():
+    with open(CURRENT_DIR / "header.poseheader", "rb") as f:
+        return PoseHeader.read(BufferReader(f.read()))
+
+
+@lru_cache(maxsize=1)
+def load_mean_and_std():
+    import json
+    with open(CURRENT_DIR / "pose_normalization.json", "r", encoding="utf-8") as f:
+        data = json.load(f)
+
+    mean, std = [], []
+    for component in data.values():
+        for point in component.values():
+            mean.append(point["mean"])
+            std.append(point["std"])
+
+    # when std is 0, set std to 1
+    std = np.array(std)
+    std[std == 0] = 1
+
+    return np.array(mean), std