diff --git a/extras/mmdeploy/configs/detection_onnxruntime_static-320x320.py b/extras/mmdeploy/configs/detection_onnxruntime_static-320x320.py
index 89764dd..b9a9c4c 100644
--- a/extras/mmdeploy/configs/detection_onnxruntime_static-320x320.py
+++ b/extras/mmdeploy/configs/detection_onnxruntime_static-320x320.py
@@ -5,5 +5,14 @@ onnx_config = dict(
 )
 
 codebase_config = dict(
-    post_processing=dict(score_threshold=0.3, iou_threshold=0.3),
+    # For later TensorRT inference, the number of output boxes needs to be as stable as possible, 
+    # because a drop in the box count leads to a re-optimization which takes a lot of time,
+    # therefore sort out low confidence boxes outside the model and reduce the maximum number
+    # of output boxes to the smallest usable value.
+    post_processing=dict(
+        score_threshold=0.0,
+        confidence_threshold=0.0,
+        iou_threshold=0.3,
+        max_output_boxes_per_class=10,
+    ),
 )
diff --git a/extras/mmdeploy/configs/detection_onnxruntime_static-320x320_fp16.py b/extras/mmdeploy/configs/detection_onnxruntime_static-320x320_fp16.py
index 62dff76..a5478be 100644
--- a/extras/mmdeploy/configs/detection_onnxruntime_static-320x320_fp16.py
+++ b/extras/mmdeploy/configs/detection_onnxruntime_static-320x320_fp16.py
@@ -5,5 +5,14 @@ onnx_config = dict(
 )
 
 codebase_config = dict(
-    post_processing=dict(score_threshold=0.3, iou_threshold=0.3),
+    # For later TensorRT inference, the number of output boxes needs to be as stable as possible, 
+    # because a drop in the box count leads to a re-optimization which takes a lot of time,
+    # therefore reduce the maximum number of output boxes to the smallest usable value and sort out
+    # low confidence boxes outside the model.
+    post_processing=dict(
+        score_threshold=0.0,
+        confidence_threshold=0.0,
+        iou_threshold=0.3,
+        max_output_boxes_per_class=10,
+    ),
 )
diff --git a/media/RESULTS.md b/media/RESULTS.md
index fbe9ca9..577d94a 100644
--- a/media/RESULTS.md
+++ b/media/RESULTS.md
@@ -6,9 +6,9 @@ Results of the model in various experiments on different datasets.
 
 ```json
 {
-  "avg_time_2d": 0.016274028309321,
-  "avg_time_3d": 0.00032552096803309556,
-  "avg_fps": 60.24259956047411
+  "avg_time_2d": 0.01254632634631658,
+  "avg_time_3d": 0.00036295955463991325,
+  "avg_fps": 77.4636186441503
 }
 {
   "person_nums": {
@@ -27,149 +27,149 @@ Results of the model in various experiments on different datasets.
   },
   "mpjpe": {
     "count": 600,
-    "mean": 0.066064,
-    "median": 0.058463,
-    "std": 0.027791,
-    "sem": 0.001136,
-    "min": 0.040706,
-    "max": 0.189425,
+    "mean": 0.066275,
+    "median": 0.058426,
+    "std": 0.02768,
+    "sem": 0.001131,
+    "min": 0.040807,
+    "max": 0.188876,
     "recall-0.025": 0.0,
-    "recall-0.05": 0.085,
-    "recall-0.1": 0.936667,
+    "recall-0.05": 0.083333,
+    "recall-0.1": 0.938333,
     "recall-0.15": 0.95,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
     "num_labels": 600,
     "ap-0.025": 0.0,
-    "ap-0.05": 0.012704,
-    "ap-0.1": 0.897461,
-    "ap-0.15": 0.915018,
+    "ap-0.05": 0.011533,
+    "ap-0.1": 0.899113,
+    "ap-0.15": 0.915362,
     "ap-0.25": 1.0,
     "ap-0.5": 1.0
   },
   "nose": {
     "count": 600,
-    "mean": 0.114664,
-    "median": 0.10192,
-    "std": 0.040958,
-    "sem": 0.001673,
-    "min": 0.027318,
-    "max": 0.26417,
+    "mean": 0.115024,
+    "median": 0.099737,
+    "std": 0.041,
+    "sem": 0.001675,
+    "min": 0.02644,
+    "max": 0.261025,
     "recall-0.025": 0.0,
-    "recall-0.05": 0.006667,
-    "recall-0.1": 0.488333,
-    "recall-0.15": 0.82,
-    "recall-0.25": 0.993333,
+    "recall-0.05": 0.008333,
+    "recall-0.1": 0.501667,
+    "recall-0.15": 0.808333,
+    "recall-0.25": 0.998333,
     "recall-0.5": 1.0,
     "num_labels": 600
   },
   "shoulder_left": {
     "count": 600,
-    "mean": 0.034211,
-    "median": 0.026464,
-    "std": 0.031942,
-    "sem": 0.001305,
-    "min": 0.001243,
-    "max": 0.178564,
-    "recall-0.025": 0.47,
+    "mean": 0.034317,
+    "median": 0.026768,
+    "std": 0.031799,
+    "sem": 0.001299,
+    "min": 0.001234,
+    "max": 0.178357,
+    "recall-0.025": 0.456667,
     "recall-0.05": 0.863333,
     "recall-0.1": 0.946667,
-    "recall-0.15": 0.965,
+    "recall-0.15": 0.966667,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
     "num_labels": 600
   },
   "shoulder_right": {
     "count": 600,
-    "mean": 0.049177,
-    "median": 0.034548,
-    "std": 0.042414,
-    "sem": 0.001733,
-    "min": 0.004601,
-    "max": 0.249061,
-    "recall-0.025": 0.221667,
-    "recall-0.05": 0.73,
-    "recall-0.1": 0.908333,
-    "recall-0.15": 0.941667,
+    "mean": 0.047981,
+    "median": 0.034263,
+    "std": 0.039767,
+    "sem": 0.001625,
+    "min": 0.005363,
+    "max": 0.24597,
+    "recall-0.025": 0.226667,
+    "recall-0.05": 0.743333,
+    "recall-0.1": 0.916667,
+    "recall-0.15": 0.948333,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
     "num_labels": 600
   },
   "elbow_left": {
     "count": 600,
-    "mean": 0.043333,
-    "median": 0.034664,
-    "std": 0.034544,
-    "sem": 0.001411,
-    "min": 0.002445,
-    "max": 0.200532,
-    "recall-0.025": 0.238333,
-    "recall-0.05": 0.796667,
-    "recall-0.1": 0.945,
-    "recall-0.15": 0.953333,
+    "mean": 0.043526,
+    "median": 0.034276,
+    "std": 0.034786,
+    "sem": 0.001421,
+    "min": 0.003312,
+    "max": 0.198715,
+    "recall-0.025": 0.24,
+    "recall-0.05": 0.781667,
+    "recall-0.1": 0.943333,
+    "recall-0.15": 0.958333,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
     "num_labels": 600
   },
   "elbow_right": {
     "count": 600,
-    "mean": 0.043379,
-    "median": 0.033008,
-    "std": 0.037384,
-    "sem": 0.001527,
-    "min": 0.00441,
-    "max": 0.300237,
-    "recall-0.025": 0.241667,
-    "recall-0.05": 0.828333,
-    "recall-0.1": 0.93,
-    "recall-0.15": 0.94,
+    "mean": 0.04376,
+    "median": 0.033219,
+    "std": 0.037126,
+    "sem": 0.001517,
+    "min": 0.006159,
+    "max": 0.314756,
+    "recall-0.025": 0.245,
+    "recall-0.05": 0.803333,
+    "recall-0.1": 0.933333,
+    "recall-0.15": 0.943333,
     "recall-0.25": 0.996667,
     "recall-0.5": 1.0,
     "num_labels": 600
   },
   "wrist_left": {
     "count": 600,
-    "mean": 0.042137,
-    "median": 0.026475,
-    "std": 0.044455,
-    "sem": 0.001816,
-    "min": 0.000734,
-    "max": 0.289424,
-    "recall-0.025": 0.476667,
-    "recall-0.05": 0.738333,
-    "recall-0.1": 0.905,
-    "recall-0.15": 0.94,
-    "recall-0.25": 0.996667,
+    "mean": 0.044151,
+    "median": 0.026578,
+    "std": 0.047109,
+    "sem": 0.001925,
+    "min": 0.002328,
+    "max": 0.288425,
+    "recall-0.025": 0.478333,
+    "recall-0.05": 0.736667,
+    "recall-0.1": 0.883333,
+    "recall-0.15": 0.918333,
+    "recall-0.25": 0.998333,
     "recall-0.5": 1.0,
     "num_labels": 600
   },
   "wrist_right": {
     "count": 600,
-    "mean": 0.044742,
-    "median": 0.027623,
-    "std": 0.050977,
-    "sem": 0.002083,
-    "min": 0.001885,
-    "max": 0.455832,
-    "recall-0.025": 0.455,
-    "recall-0.05": 0.753333,
-    "recall-0.1": 0.893333,
-    "recall-0.15": 0.911667,
-    "recall-0.25": 0.996667,
+    "mean": 0.045218,
+    "median": 0.026994,
+    "std": 0.050213,
+    "sem": 0.002052,
+    "min": 0.002207,
+    "max": 0.291549,
+    "recall-0.025": 0.471667,
+    "recall-0.05": 0.766667,
+    "recall-0.1": 0.876667,
+    "recall-0.15": 0.908333,
+    "recall-0.25": 0.998333,
     "recall-0.5": 1.0,
     "num_labels": 600
   },
   "hip_left": {
     "count": 600,
-    "mean": 0.084994,
-    "median": 0.079686,
-    "std": 0.033001,
-    "sem": 0.001348,
-    "min": 0.010753,
-    "max": 0.232419,
-    "recall-0.025": 0.005,
-    "recall-0.05": 0.041667,
-    "recall-0.1": 0.855,
+    "mean": 0.085085,
+    "median": 0.079726,
+    "std": 0.032918,
+    "sem": 0.001345,
+    "min": 0.020039,
+    "max": 0.232252,
+    "recall-0.025": 0.006667,
+    "recall-0.05": 0.055,
+    "recall-0.1": 0.853333,
     "recall-0.15": 0.95,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
@@ -177,98 +177,98 @@ Results of the model in various experiments on different datasets.
   },
   "hip_right": {
     "count": 600,
-    "mean": 0.108772,
-    "median": 0.107197,
-    "std": 0.025158,
-    "sem": 0.001028,
-    "min": 0.051859,
-    "max": 0.227885,
+    "mean": 0.108514,
+    "median": 0.106487,
+    "std": 0.025557,
+    "sem": 0.001044,
+    "min": 0.043182,
+    "max": 0.228959,
     "recall-0.025": 0.0,
-    "recall-0.05": 0.0,
-    "recall-0.1": 0.351667,
-    "recall-0.15": 0.946667,
+    "recall-0.05": 0.003333,
+    "recall-0.1": 0.358333,
+    "recall-0.15": 0.948333,
     "recall-0.25": 1.0,
     "recall-0.5": 1.0,
     "num_labels": 600
   },
   "knee_left": {
-    "count": 599,
-    "mean": 0.060126,
-    "median": 0.044568,
-    "std": 0.057251,
-    "sem": 0.002341,
-    "min": 0.015543,
-    "max": 0.407951,
-    "recall-0.025": 0.05,
-    "recall-0.05": 0.586667,
-    "recall-0.1": 0.918333,
-    "recall-0.15": 0.923333,
+    "count": 600,
+    "mean": 0.063226,
+    "median": 0.046357,
+    "std": 0.059854,
+    "sem": 0.002446,
+    "min": 0.016702,
+    "max": 0.474089,
+    "recall-0.025": 0.035,
+    "recall-0.05": 0.563333,
+    "recall-0.1": 0.881667,
+    "recall-0.15": 0.925,
     "recall-0.25": 0.98,
-    "recall-0.5": 0.998333,
+    "recall-0.5": 1.0,
     "num_labels": 600
   },
   "knee_right": {
     "count": 600,
-    "mean": 0.050346,
-    "median": 0.041731,
-    "std": 0.03615,
-    "sem": 0.001477,
-    "min": 0.01555,
-    "max": 0.278599,
-    "recall-0.025": 0.035,
-    "recall-0.05": 0.756667,
-    "recall-0.1": 0.946667,
-    "recall-0.15": 0.946667,
+    "mean": 0.050723,
+    "median": 0.041264,
+    "std": 0.036826,
+    "sem": 0.001505,
+    "min": 0.013747,
+    "max": 0.274,
+    "recall-0.025": 0.043333,
+    "recall-0.05": 0.745,
+    "recall-0.1": 0.945,
+    "recall-0.15": 0.945,
     "recall-0.25": 0.996667,
     "recall-0.5": 1.0,
     "num_labels": 600
   },
   "ankle_left": {
-    "count": 599,
-    "mean": 0.097233,
-    "median": 0.085626,
-    "std": 0.047643,
-    "sem": 0.001948,
-    "min": 0.050047,
-    "max": 0.497687,
+    "count": 600,
+    "mean": 0.097084,
+    "median": 0.085682,
+    "std": 0.046353,
+    "sem": 0.001894,
+    "min": 0.045955,
+    "max": 0.492226,
     "recall-0.025": 0.0,
-    "recall-0.05": 0.0,
-    "recall-0.1": 0.84,
-    "recall-0.15": 0.935,
+    "recall-0.05": 0.001667,
+    "recall-0.1": 0.833333,
+    "recall-0.15": 0.933333,
     "recall-0.25": 0.985,
-    "recall-0.5": 0.998333,
+    "recall-0.5": 1.0,
     "num_labels": 600
   },
   "ankle_right": {
     "count": 599,
-    "mean": 0.082942,
-    "median": 0.068818,
-    "std": 0.053498,
-    "sem": 0.002188,
-    "min": 0.02884,
-    "max": 0.443019,
+    "mean": 0.082224,
+    "median": 0.068812,
+    "std": 0.047465,
+    "sem": 0.001941,
+    "min": 0.029154,
+    "max": 0.404964,
     "recall-0.025": 0.0,
     "recall-0.05": 0.026667,
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-    "recall-0.15": 0.911667,
-    "recall-0.25": 0.978333,
+    "recall-0.1": 0.888333,
+    "recall-0.15": 0.91,
+    "recall-0.25": 0.985,
     "recall-0.5": 0.998333,
     "num_labels": 600
   },
   "joint_recalls": {
     "num_labels": 7800,
-    "recall-0.025": 0.16859,
-    "recall-0.05": 0.4709,
-    "recall-0.1": 0.83218,
-    "recall-0.15": 0.92923,
-    "recall-0.25": 0.99385,
-    "recall-0.5": 0.99923
+    "recall-0.025": 0.16923,
+    "recall-0.05": 0.46833,
+    "recall-0.1": 0.82692,
+    "recall-0.15": 0.92692,
+    "recall-0.25": 0.99487,
+    "recall-0.5": 0.99974
   }
 }
 {
   "total_parts": 8400,
-  "correct_parts": 8091,
-  "pcp": 0.963214
+  "correct_parts": 8097,
+  "pcp": 0.963929
 }
 ```