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您是对比了SSD、SSD+FPN、SSD+GIOU和SSD+GIOU+FPN,想问您有没有SSD+FPN以及SSD+GIOU的项目?我想对比一下这几种的方法?
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Hi, I would like to confirm that ```e2ec_fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_dcn_feature64_p4init_p4evolve_dml_1x_coco.py``` and ```e2ec_fcos_center-normbbox-centeronreg-giou_r…
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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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感谢分享~
想请教下giou loss中加入的bbox_loss_scale。
`bbox_loss_scale = 2.0 - 1.0 * label_xywh[:, :, :, :, 2:3] * label_xywh[:, :, :, :, 3:4] / (input_size ** 2)`
`giou_loss = respond_bbox * bbox_loss_scale * …
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use model: yolov4
When I use Yolov4 train model with my own data, I get the model. But when I predict, I found predict result is 0, I was confused, So, I check where has wrong, and I found predict co…
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When fine-tuning with following config:
```
import datetime
from detrex.config import get_config
from .models.dino_swin_large_384 import model
# number of classes
model.num_classes = 1
…
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Default config is SSD+FPN+GIOU, right? Is there any way to train with SSD+GIOU?
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@WongKinYiu Hi,
Did you compare `AP` (MS COCO) and `1080ti fps` (rather than BFLOPS) of models ?
* CSPResNeXt50-PANet-SPP-GIoU https://github.com/WongKinYiu/CrossStagePartialNetworks#gpu-real-ti…
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Here is my test code:
```
def fcos_iou_loss(pred, target, eps=1e-6, alpha=1,gamma=0.5,loss_type='iou',smooth_point=0.1):
pred_left, pred_top, pred_right, pred_bottom = pred.chunk(4, -1)
ta…