diff --git a/scripts/utils_2d_pose.py b/scripts/utils_2d_pose.py
deleted file mode 100644
index b94e416..0000000
--- a/scripts/utils_2d_pose.py
+++ /dev/null
@@ -1,71 +0,0 @@
-import os
-
-import numpy as np
-from mmpose.apis import MMPoseInferencer
-
-# ==================================================================================================
-
-filepath = os.path.dirname(os.path.realpath(__file__)) + "/"
-
-# ==================================================================================================
-
-
-def load_model():
-    print("Loading mmpose model ...")
-
-    model = MMPoseInferencer(
-        pose2d="/mmpose/projects/rtmpose/rtmpose/body_2d_keypoint/rtmpose-m_8xb256-420e_coco-384x288.py",
-        pose2d_weights="https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-body7_pt-body7_420e-384x288-65e718c4_20230504.pth",
-        det_model="/mmpose/projects/rtmpose/rtmdet/person/rtmdet_nano_320-8xb32_coco-person.py",
-        det_weights="https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_nano_8xb32-100e_coco-obj365-person-05d8511e.pth",
-        det_cat_ids=[0],
-    )
-
-    print("Loaded mmpose model")
-    return model
-
-
-def load_wb_model():
-    print("Loading mmpose whole body model ...")
-
-    model = MMPoseInferencer(
-        pose2d="/mmpose/projects/rtmpose/rtmpose/wholebody_2d_keypoint/rtmpose-l_8xb32-270e_coco-wholebody-384x288.py",
-        pose2d_weights="https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.pth",
-        det_model="/mmpose/projects/rtmpose/rtmdet/person/rtmdet_nano_320-8xb32_coco-person.py",
-        det_weights="https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_nano_8xb32-100e_coco-obj365-person-05d8511e.pth",
-        det_cat_ids=[0],
-    )
-
-    print("Loaded mmpose model")
-    return model
-
-
-# ==================================================================================================
-
-
-def get_2d_pose(model, imgs, num_joints=17):
-    """See: https://mmpose.readthedocs.io/en/latest/user_guides/inference.html#basic-usage"""
-
-    result_generator = model(imgs, show=False, bbox_thr=0.3, nms_thr=0.3)
-    new_poses = []
-    for _ in range(len(imgs)):
-        result = next(result_generator)
-
-        poses = []
-        for i in range(len(result["predictions"][0])):
-            kpts = result["predictions"][0][i]["keypoints"]
-            scores = result["predictions"][0][i]["keypoint_scores"]
-
-            kpts = np.asarray(kpts)
-            scores = np.asarray(scores).reshape(-1, 1)
-            scores = np.clip(scores, 0, 1)
-            pose = np.concatenate((kpts, scores), axis=-1)
-            poses.append(pose)
-
-        if len(poses) == 0:
-            poses.append(np.zeros([num_joints, 3]))
-
-        poses = np.array(poses)
-        new_poses.append(poses)
-
-    return new_poses