Update README.md

426_YOLOX-Body-Head-Hand/README.md

@@ -237,7 +237,7 @@ Lightweight human detection model generated using a high-quality human dataset.
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     |max_output_boxes_per_class|20|Maximum number of outputs per class of one type. `20` indicates that the maximum number of people detected is `20`, the maximum number of heads detected is `20`, and the maximum number of hands detected is `20`. The larger the number, the more people can be detected, but the inference speed slows down slightly due to the larger overhead of NMS processing by the CPU. In addition, as the number of elements in the final output tensor increases, the amount of information transferred between hardware increases, resulting in higher transfer costs on the hardware circuit. Therefore, it would be desirable to set the numerical size to the minimum necessary.|
     |iou_threshold|0.40|A value indicating the percentage of occlusion allowed for multiple bounding boxes of the same class. `0.40` is excluded from the detection results if, for example, two bounding boxes overlap in more than 41% of the area. The smaller the value, the more occlusion is tolerated, but over-detection may increase.|
-    |score_threshold|0.25|Bounding box confidence threshold. Specify in the range of 0.00 to 1.00. The larger the value, the stricter the filtering and the lower the NMS processing load, but in exchange, all but bounding boxes with high confidence values are excluded from detection. This is a parameter that has a very large percentage impact on NMS overhead.|
+    |score_threshold|0.25|Bounding box confidence threshold. Specify in the range of `0.00` to `1.00`. The larger the value, the stricter the filtering and the lower the NMS processing load, but in exchange, all but bounding boxes with high confidence values are excluded from detection. This is a parameter that has a very large percentage impact on NMS overhead.|
 
   - Change NMS parameters