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Thank you very much for sharing!
Is the loss function you use in the network GIoU or CIoU?
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[2021-07-22 14:27:03,134]-[train.py line:222]: === Epoch:[ 0/50],step:[61010/61108],img_size:[320],total_loss:129.3867|loss_ciou:14.9257|loss_conf:31.2921|loss_cls:83.1709|lr:0.0000
[2021-07-22 14…
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如果我要修改损失函数CIOU,我只需要修改src/box.c的float box_ciou(box a, box b)函数吗
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After using ciouloss in yolox, ciouloss is nan,ciouloss code is as follows
elif self.loss_type == 'ciou':
c_tl = torch.min((pred[:, :2] - pred[:, 2:] / 2), (target[:, :2] - target[:, 2:] / 2))…
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在训练自有数据集时,可以用1-CIoU代替1-IoU来作为距离得到新的anchor吗?
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In the SSD code, I choose diounms to train with IoU, GIoU, DIoU and CIoU, respectively, and save the result when epoch = 1. The AP evaluation of these results shows that DIoU + diounms is the best, GI…
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@Zzh-tju Hi thanks for sharing the code , how much was the acuracy and performance drop by using Cluster and CIOU nms operation for yolact++
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No CIOU Loss, no Lable Smoothing, no DropBlock Regularization, no Self-Adversarial Training, no DIOU NMS, no.......
It is defnitely a YOLO v3 replacing the backbone/neck/head.
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导儿,你用的是yolov5 5.0的版本吧,我看你代码中是将5.0源码的ciou改为giou了吗
![image](https://user-images.githubusercontent.com/109565966/230707697-6bc20eb3-38db-476e-b84f-aad18c279ceb.png)