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@hhk7734 Very interesting to see v4 tiny on Edge TPU. I have two questions
1. What ops where not mapped to the TPU?
2. Did you quantize (post-training/training-aware) to INT8?
Thanks
_Original…
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利用Tengine-Convert-Tools工具转换了yolov4-tiny自己训练好的模型
![图片](https://user-images.githubusercontent.com/12774651/128821058-18479e3f-a2c3-4bd6-8b3e-b3115ac71009.png)
利用转换好的模型去做检测:
代码修改的部分如下:
![图片](https:…
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您好,我用的yolov4_tiny_weights_voc.pth作权重文件,直接跑get_mAP,但是结果只有68%的mAP,比起readme展示的78%,低了10个百分点,想问下是什么原因呀。
运行环境,3070,windows
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执行训练的时候报了这个错怎么解决呢?环境:Pytorch1.5版本,ubuntu1604
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你好,我下载的master,cfg和weight用的yolov4-pacsp-x-mish,推理图片正常,然后训练时候,因为我的是1050显卡,设置了输入尺寸320*320,但是报错:
File "D:\PyTorch_YOLOv4-master\models.py", line 197, in forward
p = p.view(bs, self.na, self.no, se…
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Hi Guys,
Thanks a lot for your amazing work.
I have read your paper and you do not mention the loss function used.
I would assume you use the same as yolov4.
However when looking into. the. …
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Hey dear @WongKinYiu
I get very different results for u3 master branch and u5 with exact same models (for example yolov4-pacsp-s-mish.cfg with weights and yolov4s-mish.yaml and weights). F1 is 65…
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I would like to ask if Yolov4 still uses the previous detection approach stated in the original YOLO paper?
https://arxiv.org/pdf/1506.02640.pdf Specifically, on the Unified Detection.
With YOL…
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When training yolov4-csp-x-swish on my database, the avg-loss curve always becomes to a U curve. However, when I change the "objectness_smooth" to 0 in yolo layer, it can converge normally now . Do…
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I have 29 classes, so my max_batches=(29*2000=58,0000) so I trained my model for 58000 steps & my avg_loss is 24. So my question is after increasing the max_batches & training steps?? Will my loss d…