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When I use yolov4-tiny to detect images, I find that 3080 is not as fast as 1080ti.Moreover, the detection time is not stable, sometimes 15ms, sometimes 58ms.On 1080ti, the same image takes on average…
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Hey there,
This repo is claiming to be YOLOv5: https://github.com/ultralytics/yolov5
~~They released~~ a blog here: https://blog.roboflow.ai/yolov5-is-here/
It's being discussed on HN here: h…
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HI, zhao hui:
I try DIOU loss in Retinanet and it can converge well.
But when i try CIOU loss in Retinanet, it can not converge stable. I use your code and have an question ?The equation (12) in you…
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如果出的话,大概是什么时候呢?
MrWcy updated
2 years ago
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如果自定义loss 直接使用smoothl1+Iou这种形式 能否在配置上直接写2个loss呢 还是需要重写loss代码
如果重写loss代码 该如何操作ne
以及如何使用paddle的mask rcnn做消融实验呢
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hi. i am a newbie. i train yolov4 on windows ,but when i run (./darknet.exe detector test cfg/coco.data cfg/yolov4.cfg yolov4.weights -tresh 0.25 data/person.jpg),it cannot load image.
GPU isn't u…
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my cfg
...
[yolo]
mask = 0,1,2
anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
**classes=6**
num=9
jitter=.3
ignore_thresh = .7
truth_thresh = 1
rand…
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Yolov5's original loss function is ciou. When a = 3, the accuracy of using a-ciou will decrease by 1.2%. Is it true that a-ciou is not as effective as ciou?
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bboxes_in = ploc.permute(0, 2, 1)
# [batch, label_num, 8732] -> [batch, 8732, label_num]
# scores_in = plabel.permute(0, 2, 1)
# print(bboxes_in.is_contiguous())
…
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Im using WSL2 manjaro-linux.
I install cmake, gcc, opencv with command: pacman -S cmake gcc opencv.
Then, I install python-pytorch-opt-cuda with command: pacman -S python-pytorch-opt-cuda
git clone…