1、IOU_Loss 🌳IOU是交并比,在这里是指预测的物体框框和真实的物体框框的交集的面积与并集的面积之比。 🌳IOU_Loss是根据IOU的损失函数:IOU_Loss = 1 - IOU 但是它存在一些缺点: (1)如果你的预测框和真实框完全不重合,那么你的IOU为0,没有办法呈现出你的预测框距离真实框有多远,损失函数不可导,导致无法...
修改后的non_max_suppression_list defnon_max_suppression_list(prediction,conf_thres1=[0.45,0.45,0.45,0.45,0.45,0.45],iou_thres=0.45,classes=None,agnostic=False,multi_label=False, labels=()): """Runs Non-Maximum Suppression (NMS) on inference results Returns: list of detections, on (n,6) ...
This is the same for the off-the-shelf TensorFlow NMS op if I remember well. In other frameworks, one of them being CoreML, pre-packaged NMS operations can handle multi-class: https://apple.github.io/coremltools/coremlspecification/sections/NeuralNetwork.html#nonmaximumsuppressionlayerparams Au...