diff --git a/extras/mmdeploy/README.md b/extras/mmdeploy/README.md
index 168bfc1..5267815 100644
--- a/extras/mmdeploy/README.md
+++ b/extras/mmdeploy/README.md
@@ -22,8 +22,16 @@ python3 ./tools/deploy.py \
     /mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
     --work-dir work_dir \
     --show
-
 mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmdet-nano_1x3x320x320"$withFP16".onnx
+
+python3 ./tools/deploy.py \
+    configs/mmdet/detection/detection_onnxruntime_static-320x320"$withFP16".py \
+    /mmpose/projects/rtmpose/rtmdet/person/rtmdet_m_640-8xb32_coco-person.py \
+    https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_m_8xb32-100e_coco-obj365-person-235e8209.pth \
+    /mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
+    --work-dir work_dir \
+    --show
+mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmdet-m_1x3x320x320"$withFP16".onnx
 ```
 
 ```bash
diff --git a/extras/mmdeploy/add_extra_steps.py b/extras/mmdeploy/add_extra_steps.py
index d3ace0e..e8b9740 100644
--- a/extras/mmdeploy/add_extra_steps.py
+++ b/extras/mmdeploy/add_extra_steps.py
@@ -7,7 +7,8 @@ from onnx import TensorProto, helper, numpy_helper
 # ==================================================================================================
 
 base_path = "/RapidPoseTriangulation/extras/mmdeploy/exports/"
-det_model_path = base_path + "rtmdet-nano_1x3x320x320.onnx"
+det_model_path1 = base_path + "rtmdet-nano_1x3x320x320.onnx"
+det_model_path2 = base_path + "rtmdet-m_1x3x320x320.onnx"
 pose_model_path1 = base_path + "rtmpose-m_Bx3x384x288.onnx"
 pose_model_path2 = base_path + "rtmpose-m_1x3x384x288.onnx"
 pose_model_path3 = base_path + "rtmpose-l_wb_Bx3x384x288.onnx"
@@ -212,12 +213,14 @@ def add_steps_to_onnx(model_path):
 
 
 def main():
-    add_steps_to_onnx(det_model_path)
+    add_steps_to_onnx(det_model_path1)
+    add_steps_to_onnx(det_model_path2)
     add_steps_to_onnx(pose_model_path1)
     add_steps_to_onnx(pose_model_path2)
     add_steps_to_onnx(pose_model_path3)
     add_steps_to_onnx(pose_model_path4)
-    add_steps_to_onnx(det_model_path.replace(".onnx", "_fp16.onnx"))
+    add_steps_to_onnx(det_model_path1.replace(".onnx", "_fp16.onnx"))
+    add_steps_to_onnx(det_model_path2.replace(".onnx", "_fp16.onnx"))
     add_steps_to_onnx(pose_model_path1.replace(".onnx", "_fp16.onnx"))
     add_steps_to_onnx(pose_model_path2.replace(".onnx", "_fp16.onnx"))
     add_steps_to_onnx(pose_model_path3.replace(".onnx", "_fp16.onnx"))
diff --git a/media/RESULTS.md b/media/RESULTS.md
index 4a62e3b..b85cfd9 100644
--- a/media/RESULTS.md
+++ b/media/RESULTS.md
@@ -3093,25 +3093,26 @@ Results of the model in various experiments on different datasets. \
 
 ```json
 {
-  "img_loading": 0.0255148,
-  "avg_time_2d": 0.0204476,
-  "avg_time_3d": 0.000515689,
-  "fps": 47.7024
+  "img_loading": 0.0239734,
+  "demosaicing": 0.000632573,
+  "avg_time_2d": 0.0185498,
+  "avg_time_3d": 0.000379892,
+  "fps": 51.1188
 }
 {
   "triangulator_calls": 200,
-  "init_time": 6.84512e-06,
-  "undistort_time": 7.61709e-05,
-  "project_time": 9.2115e-08,
-  "match_time": 2.27e-08,
-  "pairs_time": 9.36457e-05,
-  "pair_scoring_time": 5.65214e-05,
-  "grouping_time": 2.41244e-06,
-  "full_time": 0.000188336,
-  "merge_time": 2.92458e-05,
-  "post_time": 2.04609e-05,
-  "convert_time": 2.40201e-06,
-  "total_time": 0.000476562
+  "init_time": 1.03606e-05,
+  "undistort_time": 3.50085e-05,
+  "project_time": 1.663e-08,
+  "match_time": 4.4575e-08,
+  "pairs_time": 3.1395e-05,
+  "pair_scoring_time": 8.55449e-05,
+  "grouping_time": 2.11542e-06,
+  "full_time": 0.000173062,
+  "merge_time": 2.14312e-05,
+  "post_time": 2.04939e-05,
+  "convert_time": 2.29605e-06,
+  "total_time": 0.000382097
 }
 {
   "person_nums": {
@@ -3130,37 +3131,37 @@ Results of the model in various experiments on different datasets. \
   },
   "mpjpe": {
     "count": 200,
-    "mean": 0.046133,
-    "median": 0.041224,
-    "std": 0.017652,
-    "sem": 0.001251,
+    "mean": 0.045915,
+    "median": 0.040764,
+    "std": 0.017766,
+    "sem": 0.001259,
     "min": 0.020419,
     "max": 0.107285,
-    "recall-0.025": 0.025,
-    "recall-0.05": 0.675,
+    "recall-0.025": 0.02,
+    "recall-0.05": 0.68,
     "recall-0.1": 0.985,
     "recall-0.15": 1.0,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
     "num_labels": 200,
-    "ap-0.025": 0.007853,
-    "ap-0.05": 0.598471,
-    "ap-0.1": 0.980717,
+    "ap-0.025": 0.004665,
+    "ap-0.05": 0.611776,
+    "ap-0.1": 0.980742,
     "ap-0.15": 1.0,
     "ap-0.25": 1.0,
     "ap-0.5": 1.0
   },
   "nose": {
     "count": 200,
-    "mean": 0.047615,
-    "median": 0.03991,
-    "std": 0.032391,
-    "sem": 0.002296,
+    "mean": 0.04784,
+    "median": 0.040191,
+    "std": 0.032673,
+    "sem": 0.002316,
     "min": 0.004022,
     "max": 0.161321,
-    "recall-0.025": 0.3,
+    "recall-0.025": 0.305,
     "recall-0.05": 0.625,
-    "recall-0.1": 0.895,
+    "recall-0.1": 0.89,
     "recall-0.15": 0.995,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
@@ -3168,15 +3169,15 @@ Results of the model in various experiments on different datasets. \
   },
   "eye_left": {
     "count": 200,
-    "mean": 0.04553,
-    "median": 0.035821,
-    "std": 0.034311,
-    "sem": 0.002432,
-    "min": 0.008404,
+    "mean": 0.04641,
+    "median": 0.037009,
+    "std": 0.034766,
+    "sem": 0.002464,
+    "min": 0.008727,
     "max": 0.292547,
-    "recall-0.025": 0.325,
-    "recall-0.05": 0.65,
-    "recall-0.1": 0.935,
+    "recall-0.025": 0.31,
+    "recall-0.05": 0.64,
+    "recall-0.1": 0.93,
     "recall-0.15": 0.99,
     "recall-0.25": 0.995,
     "recall-0.5": 1.0,
@@ -3184,15 +3185,15 @@ Results of the model in various experiments on different datasets. \
   },
   "eye_right": {
     "count": 200,
-    "mean": 0.054182,
-    "median": 0.045795,
-    "std": 0.034428,
-    "sem": 0.002441,
-    "min": 0.004909,
+    "mean": 0.053902,
+    "median": 0.045694,
+    "std": 0.034241,
+    "sem": 0.002427,
+    "min": 0.00622,
     "max": 0.191344,
     "recall-0.025": 0.195,
-    "recall-0.05": 0.545,
-    "recall-0.1": 0.89,
+    "recall-0.05": 0.55,
+    "recall-0.1": 0.895,
     "recall-0.15": 0.985,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
@@ -3200,15 +3201,15 @@ Results of the model in various experiments on different datasets. \
   },
   "ear_left": {
     "count": 200,
-    "mean": 0.03385,
-    "median": 0.024908,
-    "std": 0.028261,
-    "sem": 0.002003,
+    "mean": 0.03377,
+    "median": 0.02555,
+    "std": 0.027792,
+    "sem": 0.00197,
     "min": 0.003213,
     "max": 0.16381,
-    "recall-0.025": 0.505,
-    "recall-0.05": 0.82,
-    "recall-0.1": 0.96,
+    "recall-0.025": 0.49,
+    "recall-0.05": 0.825,
+    "recall-0.1": 0.965,
     "recall-0.15": 0.985,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
@@ -3216,13 +3217,13 @@ Results of the model in various experiments on different datasets. \
   },
   "ear_right": {
     "count": 200,
-    "mean": 0.04372,
+    "mean": 0.04362,
     "median": 0.038645,
-    "std": 0.027982,
-    "sem": 0.001984,
+    "std": 0.027924,
+    "sem": 0.001979,
     "min": 0.003292,
     "max": 0.129341,
-    "recall-0.025": 0.31,
+    "recall-0.025": 0.305,
     "recall-0.05": 0.655,
     "recall-0.1": 0.955,
     "recall-0.15": 1.0,
@@ -3232,14 +3233,14 @@ Results of the model in various experiments on different datasets. \
   },
   "shoulder_left": {
     "count": 200,
-    "mean": 0.022188,
-    "median": 0.019356,
-    "std": 0.014323,
-    "sem": 0.001015,
+    "mean": 0.022059,
+    "median": 0.019246,
+    "std": 0.014208,
+    "sem": 0.001007,
     "min": 0.003854,
     "max": 0.118412,
-    "recall-0.025": 0.675,
-    "recall-0.05": 0.95,
+    "recall-0.025": 0.685,
+    "recall-0.05": 0.955,
     "recall-0.1": 0.995,
     "recall-0.15": 1.0,
     "recall-0.25": 1.0,
@@ -3248,10 +3249,10 @@ Results of the model in various experiments on different datasets. \
   },
   "shoulder_right": {
     "count": 200,
-    "mean": 0.025499,
+    "mean": 0.02548,
     "median": 0.022162,
-    "std": 0.014883,
-    "sem": 0.001055,
+    "std": 0.014942,
+    "sem": 0.001059,
     "min": 0.002433,
     "max": 0.074438,
     "recall-0.025": 0.595,
@@ -3264,13 +3265,13 @@ Results of the model in various experiments on different datasets. \
   },
   "elbow_left": {
     "count": 200,
-    "mean": 0.020772,
-    "median": 0.015498,
-    "std": 0.023659,
-    "sem": 0.001677,
-    "min": 0.000668,
+    "mean": 0.020599,
+    "median": 0.0152,
+    "std": 0.023667,
+    "sem": 0.001678,
+    "min": 0.000831,
     "max": 0.229304,
-    "recall-0.025": 0.755,
+    "recall-0.025": 0.76,
     "recall-0.05": 0.955,
     "recall-0.1": 0.985,
     "recall-0.15": 0.99,
@@ -3280,14 +3281,14 @@ Results of the model in various experiments on different datasets. \
   },
   "elbow_right": {
     "count": 200,
-    "mean": 0.026397,
-    "median": 0.017982,
-    "std": 0.026366,
-    "sem": 0.001869,
+    "mean": 0.026115,
+    "median": 0.017676,
+    "std": 0.026287,
+    "sem": 0.001863,
     "min": 0.000835,
     "max": 0.20689,
-    "recall-0.025": 0.655,
-    "recall-0.05": 0.875,
+    "recall-0.025": 0.66,
+    "recall-0.05": 0.88,
     "recall-0.1": 0.97,
     "recall-0.15": 0.995,
     "recall-0.25": 1.0,
@@ -3296,15 +3297,15 @@ Results of the model in various experiments on different datasets. \
   },
   "wrist_left": {
     "count": 199,
-    "mean": 0.026965,
+    "mean": 0.027139,
     "median": 0.01956,
-    "std": 0.025444,
-    "sem": 0.001808,
+    "std": 0.026136,
+    "sem": 0.001857,
     "min": 0.002524,
     "max": 0.225747,
     "recall-0.025": 0.675,
-    "recall-0.05": 0.875,
-    "recall-0.1": 0.97,
+    "recall-0.05": 0.88,
+    "recall-0.1": 0.965,
     "recall-0.15": 0.99,
     "recall-0.25": 0.995,
     "recall-0.5": 0.995,
@@ -3312,10 +3313,10 @@ Results of the model in various experiments on different datasets. \
   },
   "wrist_right": {
     "count": 198,
-    "mean": 0.037082,
+    "mean": 0.037134,
     "median": 0.024229,
-    "std": 0.041298,
-    "sem": 0.002942,
+    "std": 0.041271,
+    "sem": 0.00294,
     "min": 0.003805,
     "max": 0.374919,
     "recall-0.025": 0.51,
@@ -3328,14 +3329,14 @@ Results of the model in various experiments on different datasets. \
   },
   "hip_left": {
     "count": 200,
-    "mean": 0.031009,
-    "median": 0.027273,
-    "std": 0.018554,
-    "sem": 0.001315,
+    "mean": 0.030905,
+    "median": 0.027004,
+    "std": 0.018779,
+    "sem": 0.001331,
     "min": 0.003626,
     "max": 0.152393,
-    "recall-0.025": 0.425,
-    "recall-0.05": 0.875,
+    "recall-0.025": 0.43,
+    "recall-0.05": 0.865,
     "recall-0.1": 0.99,
     "recall-0.15": 0.995,
     "recall-0.25": 1.0,
@@ -3344,10 +3345,10 @@ Results of the model in various experiments on different datasets. \
   },
   "hip_right": {
     "count": 200,
-    "mean": 0.030215,
+    "mean": 0.030304,
     "median": 0.025196,
-    "std": 0.019969,
-    "sem": 0.001416,
+    "std": 0.019998,
+    "sem": 0.001418,
     "min": 0.002204,
     "max": 0.185035,
     "recall-0.025": 0.5,
@@ -3360,13 +3361,13 @@ Results of the model in various experiments on different datasets. \
   },
   "knee_left": {
     "count": 200,
-    "mean": 0.022784,
-    "median": 0.016042,
-    "std": 0.029844,
-    "sem": 0.002116,
+    "mean": 0.022633,
+    "median": 0.015861,
+    "std": 0.029865,
+    "sem": 0.002117,
     "min": 0.002137,
     "max": 0.286045,
-    "recall-0.025": 0.735,
+    "recall-0.025": 0.74,
     "recall-0.05": 0.945,
     "recall-0.1": 0.98,
     "recall-0.15": 0.985,
@@ -3376,10 +3377,10 @@ Results of the model in various experiments on different datasets. \
   },
   "knee_right": {
     "count": 199,
-    "mean": 0.024998,
-    "median": 0.015061,
-    "std": 0.038823,
-    "sem": 0.002759,
+    "mean": 0.024942,
+    "median": 0.01486,
+    "std": 0.038851,
+    "sem": 0.002761,
     "min": 0.002018,
     "max": 0.326376,
     "recall-0.025": 0.77,
@@ -3392,10 +3393,10 @@ Results of the model in various experiments on different datasets. \
   },
   "ankle_left": {
     "count": 200,
-    "mean": 0.018369,
-    "median": 0.011104,
-    "std": 0.032134,
-    "sem": 0.002278,
+    "mean": 0.01838,
+    "median": 0.011,
+    "std": 0.032128,
+    "sem": 0.002277,
     "min": 0.001283,
     "max": 0.361647,
     "recall-0.025": 0.85,
@@ -3408,13 +3409,13 @@ Results of the model in various experiments on different datasets. \
   },
   "ankle_right": {
     "count": 199,
-    "mean": 0.019985,
-    "median": 0.013256,
-    "std": 0.036609,
+    "mean": 0.019878,
+    "median": 0.013062,
+    "std": 0.036611,
     "sem": 0.002602,
     "min": 0.002061,
     "max": 0.449797,
-    "recall-0.025": 0.835,
+    "recall-0.025": 0.84,
     "recall-0.05": 0.96,
     "recall-0.1": 0.965,
     "recall-0.15": 0.985,
@@ -3424,14 +3425,14 @@ Results of the model in various experiments on different datasets. \
   },
   "foot_toe_big_left": {
     "count": 200,
-    "mean": 0.031835,
-    "median": 0.022278,
-    "std": 0.040786,
-    "sem": 0.002891,
+    "mean": 0.032113,
+    "median": 0.022217,
+    "std": 0.041041,
+    "sem": 0.002909,
     "min": 0.001968,
     "max": 0.412615,
-    "recall-0.025": 0.58,
-    "recall-0.05": 0.89,
+    "recall-0.025": 0.585,
+    "recall-0.05": 0.88,
     "recall-0.1": 0.955,
     "recall-0.15": 0.975,
     "recall-0.25": 0.995,
@@ -3440,13 +3441,13 @@ Results of the model in various experiments on different datasets. \
   },
   "foot_toe_small_left": {
     "count": 200,
-    "mean": 0.02896,
-    "median": 0.019696,
-    "std": 0.04134,
-    "sem": 0.002931,
+    "mean": 0.028978,
+    "median": 0.019752,
+    "std": 0.04141,
+    "sem": 0.002935,
     "min": 0.002115,
     "max": 0.396995,
-    "recall-0.025": 0.65,
+    "recall-0.025": 0.655,
     "recall-0.05": 0.93,
     "recall-0.1": 0.965,
     "recall-0.15": 0.975,
@@ -3456,10 +3457,10 @@ Results of the model in various experiments on different datasets. \
   },
   "foot_heel_left": {
     "count": 200,
-    "mean": 0.023791,
-    "median": 0.017328,
-    "std": 0.024407,
-    "sem": 0.00173,
+    "mean": 0.023794,
+    "median": 0.01714,
+    "std": 0.024448,
+    "sem": 0.001733,
     "min": 0.002189,
     "max": 0.208051,
     "recall-0.025": 0.7,
@@ -3472,10 +3473,10 @@ Results of the model in various experiments on different datasets. \
   },
   "foot_toe_big_right": {
     "count": 199,
-    "mean": 0.033005,
+    "mean": 0.032887,
     "median": 0.022697,
-    "std": 0.035606,
-    "sem": 0.00253,
+    "std": 0.035545,
+    "sem": 0.002526,
     "min": 0.003675,
     "max": 0.27143,
     "recall-0.025": 0.545,
@@ -3488,9 +3489,9 @@ Results of the model in various experiments on different datasets. \
   },
   "foot_toe_small_right": {
     "count": 199,
-    "mean": 0.03235,
+    "mean": 0.032335,
     "median": 0.023153,
-    "std": 0.033073,
+    "std": 0.033067,
     "sem": 0.00235,
     "min": 0.004662,
     "max": 0.277113,
@@ -3504,14 +3505,14 @@ Results of the model in various experiments on different datasets. \
   },
   "foot_heel_right": {
     "count": 200,
-    "mean": 0.02504,
+    "mean": 0.024851,
     "median": 0.018651,
-    "std": 0.026307,
-    "sem": 0.001865,
+    "std": 0.026081,
+    "sem": 0.001849,
     "min": 0.002924,
     "max": 0.228886,
     "recall-0.025": 0.695,
-    "recall-0.05": 0.905,
+    "recall-0.05": 0.91,
     "recall-0.1": 0.97,
     "recall-0.15": 0.99,
     "recall-0.25": 1.0,
@@ -3520,127 +3521,127 @@ Results of the model in various experiments on different datasets. \
   },
   "face_jaw_right_1": {
     "count": 200,
-    "mean": 0.088716,
-    "median": 0.080767,
-    "std": 0.038045,
-    "sem": 0.002697,
+    "mean": 0.087939,
+    "median": 0.08006,
+    "std": 0.037934,
+    "sem": 0.002689,
     "min": 0.017022,
     "max": 0.2777,
     "recall-0.025": 0.005,
     "recall-0.05": 0.1,
-    "recall-0.1": 0.7,
-    "recall-0.15": 0.94,
+    "recall-0.1": 0.71,
+    "recall-0.15": 0.935,
     "recall-0.25": 0.995,
     "recall-0.5": 1.0,
     "num_labels": 200
   },
   "face_jaw_right_2": {
     "count": 200,
-    "mean": 0.088586,
-    "median": 0.081065,
-    "std": 0.040095,
-    "sem": 0.002842,
+    "mean": 0.087233,
+    "median": 0.080226,
+    "std": 0.039237,
+    "sem": 0.002781,
     "min": 0.024215,
     "max": 0.255233,
     "recall-0.025": 0.005,
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@@ -3856,10 +3857,10 @@ Results of the model in various experiments on different datasets. \
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@@ -3872,13 +3873,13 @@ Results of the model in various experiments on different datasets. \
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@@ -3888,14 +3889,14 @@ Results of the model in various experiments on different datasets. \
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@@ -3904,14 +3905,14 @@ Results of the model in various experiments on different datasets. \
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@@ -3952,14 +3953,14 @@ Results of the model in various experiments on different datasets. \
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@@ -3968,10 +3969,10 @@ Results of the model in various experiments on different datasets. \
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@@ -3984,15 +3985,15 @@ Results of the model in various experiments on different datasets. \
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@@ -4000,15 +4001,15 @@ Results of the model in various experiments on different datasets. \
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@@ -4016,14 +4017,14 @@ Results of the model in various experiments on different datasets. \
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@@ -4368,15 +4369,15 @@ Results of the model in various experiments on different datasets. \
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@@ -4400,13 +4401,13 @@ Results of the model in various experiments on different datasets. \
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@@ -4448,14 +4449,14 @@ Results of the model in various experiments on different datasets. \
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@@ -4464,14 +4465,14 @@ Results of the model in various experiments on different datasets. \
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@@ -4480,13 +4481,13 @@ Results of the model in various experiments on different datasets. \
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@@ -4528,15 +4529,15 @@ Results of the model in various experiments on different datasets. \
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@@ -4544,14 +4545,14 @@ Results of the model in various experiments on different datasets. \
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@@ -4560,13 +4561,13 @@ Results of the model in various experiments on different datasets. \
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@@ -4576,14 +4577,14 @@ Results of the model in various experiments on different datasets. \
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@@ -4592,14 +4593,14 @@ Results of the model in various experiments on different datasets. \
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@@ -4608,14 +4609,14 @@ Results of the model in various experiments on different datasets. \
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@@ -4624,15 +4625,15 @@ Results of the model in various experiments on different datasets. \
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@@ -4640,30 +4641,30 @@ Results of the model in various experiments on different datasets. \
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@@ -4672,26 +4673,26 @@ Results of the model in various experiments on different datasets. \
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@@ -4704,10 +4705,10 @@ Results of the model in various experiments on different datasets. \
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@@ -4720,13 +4721,13 @@ Results of the model in various experiments on different datasets. \
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@@ -4736,13 +4737,13 @@ Results of the model in various experiments on different datasets. \
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@@ -4752,13 +4753,13 @@ Results of the model in various experiments on different datasets. \
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@@ -4768,13 +4769,13 @@ Results of the model in various experiments on different datasets. \
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@@ -4784,13 +4785,13 @@ Results of the model in various experiments on different datasets. \
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@@ -4800,14 +4801,14 @@ Results of the model in various experiments on different datasets. \
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@@ -4816,62 +4817,62 @@ Results of the model in various experiments on different datasets. \
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@@ -4880,74 +4881,74 @@ Results of the model in various experiments on different datasets. \
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@@ -4960,10 +4961,10 @@ Results of the model in various experiments on different datasets. \
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@@ -4976,13 +4977,13 @@ Results of the model in various experiments on different datasets. \
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@@ -4992,13 +4993,13 @@ Results of the model in various experiments on different datasets. \
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   "hand_finger_thumb_right_3": {
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+    "mean": 0.060863,
     "median": 0.034115,
-    "std": 0.076822,
+    "std": 0.076819,
     "sem": 0.005446,
     "min": 0.004383,
     "max": 0.459354,
-    "recall-0.025": 0.355,
+    "recall-0.025": 0.36,
     "recall-0.05": 0.69,
     "recall-0.1": 0.865,
     "recall-0.15": 0.895,
@@ -5008,13 +5009,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_thumb_right_4": {
     "count": 200,
-    "mean": 0.062638,
-    "median": 0.035742,
-    "std": 0.077222,
-    "sem": 0.005474,
+    "mean": 0.062603,
+    "median": 0.036641,
+    "std": 0.077254,
+    "sem": 0.005476,
     "min": 0.004557,
     "max": 0.441019,
-    "recall-0.025": 0.325,
+    "recall-0.025": 0.33,
     "recall-0.05": 0.675,
     "recall-0.1": 0.84,
     "recall-0.15": 0.89,
@@ -5024,10 +5025,10 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_index_right_1": {
     "count": 200,
-    "mean": 0.055625,
+    "mean": 0.055659,
     "median": 0.029544,
-    "std": 0.069913,
-    "sem": 0.004956,
+    "std": 0.069898,
+    "sem": 0.004955,
     "min": 0.002614,
     "max": 0.399119,
     "recall-0.025": 0.42,
@@ -5040,13 +5041,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_index_right_2": {
     "count": 199,
-    "mean": 0.057897,
-    "median": 0.032161,
-    "std": 0.07511,
-    "sem": 0.005338,
+    "mean": 0.057728,
+    "median": 0.032045,
+    "std": 0.075193,
+    "sem": 0.005344,
     "min": 0.003442,
     "max": 0.446547,
-    "recall-0.025": 0.4,
+    "recall-0.025": 0.405,
     "recall-0.05": 0.68,
     "recall-0.1": 0.855,
     "recall-0.15": 0.895,
@@ -5056,13 +5057,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_index_right_3": {
     "count": 200,
-    "mean": 0.061552,
+    "mean": 0.061556,
     "median": 0.033156,
-    "std": 0.079644,
+    "std": 0.07965,
     "sem": 0.005646,
     "min": 0.002428,
     "max": 0.466153,
-    "recall-0.025": 0.4,
+    "recall-0.025": 0.405,
     "recall-0.05": 0.66,
     "recall-0.1": 0.855,
     "recall-0.15": 0.9,
@@ -5072,13 +5073,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_index_right_4": {
     "count": 200,
-    "mean": 0.062911,
-    "median": 0.034325,
-    "std": 0.082924,
-    "sem": 0.005878,
+    "mean": 0.062793,
+    "median": 0.034039,
+    "std": 0.082984,
+    "sem": 0.005883,
     "min": 0.003279,
     "max": 0.476849,
-    "recall-0.025": 0.35,
+    "recall-0.025": 0.355,
     "recall-0.05": 0.635,
     "recall-0.1": 0.86,
     "recall-0.15": 0.905,
@@ -5088,13 +5089,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_middle_right_1": {
     "count": 200,
-    "mean": 0.055566,
-    "median": 0.028273,
-    "std": 0.070492,
-    "sem": 0.004997,
+    "mean": 0.055467,
+    "median": 0.027916,
+    "std": 0.070534,
+    "sem": 0.005,
     "min": 0.001452,
     "max": 0.388041,
-    "recall-0.025": 0.465,
+    "recall-0.025": 0.475,
     "recall-0.05": 0.72,
     "recall-0.1": 0.85,
     "recall-0.15": 0.915,
@@ -5104,13 +5105,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_middle_right_2": {
     "count": 198,
-    "mean": 0.054704,
-    "median": 0.027647,
-    "std": 0.072848,
-    "sem": 0.00519,
+    "mean": 0.054547,
+    "median": 0.027131,
+    "std": 0.072907,
+    "sem": 0.005194,
     "min": 0.001139,
     "max": 0.45586,
-    "recall-0.025": 0.455,
+    "recall-0.025": 0.465,
     "recall-0.05": 0.695,
     "recall-0.1": 0.85,
     "recall-0.15": 0.895,
@@ -5120,13 +5121,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_middle_right_3": {
     "count": 200,
-    "mean": 0.056624,
-    "median": 0.030795,
-    "std": 0.070181,
-    "sem": 0.004975,
-    "min": 0.002353,
+    "mean": 0.056485,
+    "median": 0.030073,
+    "std": 0.07023,
+    "sem": 0.004978,
+    "min": 0.001437,
     "max": 0.406296,
-    "recall-0.025": 0.46,
+    "recall-0.025": 0.465,
     "recall-0.05": 0.655,
     "recall-0.1": 0.84,
     "recall-0.15": 0.91,
@@ -5136,14 +5137,14 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_middle_right_4": {
     "count": 200,
-    "mean": 0.062085,
+    "mean": 0.062044,
     "median": 0.033794,
-    "std": 0.077549,
-    "sem": 0.005497,
+    "std": 0.077537,
+    "sem": 0.005496,
     "min": 0.003064,
     "max": 0.456421,
     "recall-0.025": 0.4,
-    "recall-0.05": 0.665,
+    "recall-0.05": 0.67,
     "recall-0.1": 0.83,
     "recall-0.15": 0.9,
     "recall-0.25": 0.955,
@@ -5152,13 +5153,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_ring_right_1": {
     "count": 199,
-    "mean": 0.052889,
-    "median": 0.030152,
-    "std": 0.065741,
-    "sem": 0.004672,
+    "mean": 0.052807,
+    "median": 0.029723,
+    "std": 0.065773,
+    "sem": 0.004674,
     "min": 0.00299,
     "max": 0.394096,
-    "recall-0.025": 0.43,
+    "recall-0.025": 0.435,
     "recall-0.05": 0.715,
     "recall-0.1": 0.865,
     "recall-0.15": 0.92,
@@ -5168,13 +5169,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_ring_right_2": {
     "count": 199,
-    "mean": 0.05462,
-    "median": 0.029434,
-    "std": 0.068709,
-    "sem": 0.004883,
+    "mean": 0.054584,
+    "median": 0.029318,
+    "std": 0.068719,
+    "sem": 0.004884,
     "min": 0.002244,
     "max": 0.406695,
-    "recall-0.025": 0.435,
+    "recall-0.025": 0.44,
     "recall-0.05": 0.715,
     "recall-0.1": 0.845,
     "recall-0.15": 0.9,
@@ -5184,13 +5185,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_ring_right_3": {
     "count": 199,
-    "mean": 0.053562,
-    "median": 0.027056,
-    "std": 0.065876,
-    "sem": 0.004682,
+    "mean": 0.053796,
+    "median": 0.030399,
+    "std": 0.06577,
+    "sem": 0.004674,
     "min": 0.001225,
     "max": 0.407229,
-    "recall-0.025": 0.445,
+    "recall-0.025": 0.44,
     "recall-0.05": 0.69,
     "recall-0.1": 0.85,
     "recall-0.15": 0.9,
@@ -5200,14 +5201,14 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_ring_right_4": {
     "count": 200,
-    "mean": 0.060456,
-    "median": 0.032923,
-    "std": 0.070777,
-    "sem": 0.005017,
-    "min": 0.004396,
+    "mean": 0.0604,
+    "median": 0.033184,
+    "std": 0.070755,
+    "sem": 0.005016,
+    "min": 0.002269,
     "max": 0.427222,
     "recall-0.025": 0.335,
-    "recall-0.05": 0.67,
+    "recall-0.05": 0.675,
     "recall-0.1": 0.84,
     "recall-0.15": 0.89,
     "recall-0.25": 0.975,
@@ -5216,13 +5217,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_pinky_right_1": {
     "count": 199,
-    "mean": 0.053247,
+    "mean": 0.053208,
     "median": 0.030442,
-    "std": 0.063214,
-    "sem": 0.004492,
-    "min": 0.003755,
+    "std": 0.063237,
+    "sem": 0.004494,
+    "min": 0.005382,
     "max": 0.401028,
-    "recall-0.025": 0.4,
+    "recall-0.025": 0.405,
     "recall-0.05": 0.705,
     "recall-0.1": 0.86,
     "recall-0.15": 0.91,
@@ -5232,13 +5233,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_pinky_right_2": {
     "count": 198,
-    "mean": 0.054862,
-    "median": 0.033133,
-    "std": 0.061305,
-    "sem": 0.004368,
-    "min": 0.002394,
+    "mean": 0.054859,
+    "median": 0.033421,
+    "std": 0.061317,
+    "sem": 0.004369,
+    "min": 0.002246,
     "max": 0.409014,
-    "recall-0.025": 0.38,
+    "recall-0.025": 0.385,
     "recall-0.05": 0.675,
     "recall-0.1": 0.835,
     "recall-0.15": 0.905,
@@ -5248,13 +5249,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_pinky_right_3": {
     "count": 198,
-    "mean": 0.054927,
+    "mean": 0.054882,
     "median": 0.030788,
-    "std": 0.062886,
-    "sem": 0.00448,
+    "std": 0.062927,
+    "sem": 0.004483,
     "min": 0.002997,
     "max": 0.412459,
-    "recall-0.025": 0.41,
+    "recall-0.025": 0.405,
     "recall-0.05": 0.67,
     "recall-0.1": 0.845,
     "recall-0.15": 0.885,
@@ -5264,13 +5265,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hand_finger_pinky_right_4": {
     "count": 199,
-    "mean": 0.059619,
-    "median": 0.033326,
-    "std": 0.074385,
-    "sem": 0.005286,
+    "mean": 0.059522,
+    "median": 0.033408,
+    "std": 0.07446,
+    "sem": 0.005292,
     "min": 0.0028,
     "max": 0.487009,
-    "recall-0.025": 0.355,
+    "recall-0.025": 0.365,
     "recall-0.05": 0.655,
     "recall-0.1": 0.845,
     "recall-0.15": 0.9,
@@ -5280,13 +5281,13 @@ Results of the model in various experiments on different datasets. \
   },
   "hip_middle": {
     "count": 200,
-    "mean": 0.02828,
-    "median": 0.024565,
-    "std": 0.016676,
-    "sem": 0.001182,
+    "mean": 0.028359,
+    "median": 0.024674,
+    "std": 0.016722,
+    "sem": 0.001185,
     "min": 0.001469,
     "max": 0.129168,
-    "recall-0.025": 0.51,
+    "recall-0.025": 0.505,
     "recall-0.05": 0.915,
     "recall-0.1": 0.99,
     "recall-0.15": 1.0,
@@ -5296,13 +5297,13 @@ Results of the model in various experiments on different datasets. \
   },
   "shoulder_middle": {
     "count": 200,
-    "mean": 0.019011,
-    "median": 0.016712,
-    "std": 0.010186,
-    "sem": 0.000722,
+    "mean": 0.018893,
+    "median": 0.016543,
+    "std": 0.010141,
+    "sem": 0.000719,
     "min": 0.001245,
     "max": 0.051282,
-    "recall-0.025": 0.73,
+    "recall-0.025": 0.735,
     "recall-0.05": 0.995,
     "recall-0.1": 1.0,
     "recall-0.15": 1.0,
@@ -5312,14 +5313,14 @@ Results of the model in various experiments on different datasets. \
   },
   "head": {
     "count": 200,
-    "mean": 0.034609,
-    "median": 0.030755,
-    "std": 0.02119,
-    "sem": 0.001502,
+    "mean": 0.034285,
+    "median": 0.029508,
+    "std": 0.021171,
+    "sem": 0.001501,
     "min": 0.006602,
     "max": 0.139126,
-    "recall-0.025": 0.405,
-    "recall-0.05": 0.81,
+    "recall-0.025": 0.415,
+    "recall-0.05": 0.815,
     "recall-0.1": 0.985,
     "recall-0.15": 1.0,
     "recall-0.25": 1.0,
@@ -5329,42 +5330,42 @@ Results of the model in various experiments on different datasets. \
   "body_errors": {
     "body": {
       "count": 5193,
-      "mean": 0.030309,
-      "median": 0.023375,
-      "std": 0.028022,
-      "sem": 0.001988,
-      "min": 0.003005,
+      "mean": 0.030293,
+      "median": 0.02333,
+      "std": 0.028057,
+      "sem": 0.00199,
+      "min": 0.003074,
       "max": 0.232333,
       "num_labels": 5200
     },
     "face": {
       "count": 13597,
-      "mean": 0.048297,
-      "median": 0.040124,
-      "std": 0.032094,
-      "sem": 0.002275,
-      "min": 0.00533,
-      "max": 0.221487,
+      "mean": 0.048087,
+      "median": 0.039979,
+      "std": 0.031711,
+      "sem": 0.002248,
+      "min": 0.005464,
+      "max": 0.213661,
       "num_labels": 13600
     },
     "hand": {
       "count": 8379,
-      "mean": 0.05042,
-      "median": 0.027782,
-      "std": 0.063705,
-      "sem": 0.004521,
-      "min": 0.002514,
-      "max": 0.396855,
+      "mean": 0.050064,
+      "median": 0.027763,
+      "std": 0.06288,
+      "sem": 0.004463,
+      "min": 0.002477,
+      "max": 0.38419,
       "num_labels": 8400
     }
   },
   "joint_recalls": {
     "num_labels": 27200,
-    "recall-0.025": 0.39956,
-    "recall-0.05": 0.70419,
-    "recall-0.1": 0.91092,
-    "recall-0.15": 0.96353,
-    "recall-0.25": 0.98897,
+    "recall-0.025": 0.39982,
+    "recall-0.05": 0.70548,
+    "recall-0.1": 0.9121,
+    "recall-0.15": 0.96397,
+    "recall-0.25": 0.98923,
     "recall-0.5": 0.99886
   }
 }
diff --git a/scripts/utils_2d_pose.hpp b/scripts/utils_2d_pose.hpp
index 229f5be..d4bc49c 100644
--- a/scripts/utils_2d_pose.hpp
+++ b/scripts/utils_2d_pose.hpp
@@ -1048,7 +1048,9 @@ namespace utils_2d_pose
                       bool batch_poses = false)
         {
             std::string base_path = "/RapidPoseTriangulation/extras/mmdeploy/exports/";
-            std::string path_det = base_path + "rtmdet-nano_1x320x320x3_fp16_extra-steps.onnx";
+
+            std::string path_det_n1 = base_path + "rtmdet-nano_1x320x320x3_fp16_extra-steps.onnx";
+            std::string path_det_m1 = base_path + "rtmdet-m_1x320x320x3_fp16_extra-steps.onnx";
 
             std::string path_pose_m1 = base_path + "rtmpose-m_1x384x288x3_fp16_extra-steps.onnx";
             std::string path_pose_mb = base_path + "rtmpose-m_Bx384x288x3_fp16_extra-steps.onnx";
@@ -1056,9 +1058,11 @@ namespace utils_2d_pose
             std::string path_pose_wb = base_path + "rtmpose-l_wb_Bx384x288x3_extra-steps.onnx";
 
             this->num_joints = whole_body ? 133 : 17;
+            std::string path_det;
             std::string path_pose;
             if (!whole_body)
             {
+                path_det = path_det_n1;
                 if (!batch_poses)
                 {
                     path_pose = path_pose_m1;
@@ -1070,6 +1074,7 @@ namespace utils_2d_pose
             }
             else
             {
+                path_det = path_det_m1;
                 if (!batch_poses)
                 {
                     path_pose = path_pose_w1;