这时候思路就很明显了,要想“软化”这个 loss,就得“软化”θ(x),而软化它就再容易不过,它就是 sigmoid 函数。我们有: 所以很显然,我们将θ(x)替换为σ(Kx)即可: 这就是我昨晚思考得到的 loss 了,显然实现上也是很容易的。 现在跟 Focal Loss Focal Loss Kaiming 大神的 Focal Loss 如果落实到ŷ =...
@文心快码epoch gpu_mem box_loss cls_loss dfl_loss instances size 文心快码 在深度学习训练过程中,特别是在目标检测任务中,如使用YOLO(You Only Look Once)框架时,我们经常会遇到一些特定的输出指标,如epoch、gpu_mem、box_loss、cls_loss、dfl_loss、instances和size。下面我将逐一解释这些术语的含义: Epoch:...
dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.5, perspective=0.5, flipud=0.0, fliplr=0.0, mosaic=1.0, mixup=0.5, copy_paste=0.3, cfg=None, v5loader=False, tracker=botsort.yaml, save...
Search before asking I have searched the YOLOv8 issues and discussions and found no similar questions. Question In YOLOv5, we could use the --single-cls option to do only object detection. How is this done in YOLOv8? I tried using single...