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can't import u2net model from model location..can u fix it..thanks in advance!!!
tzktz updated
7 months ago
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Hi David,
I have trained the tf.keras model on my new images and trying to convert the trained model to coreml model. Till 172/203 are converting fine. But at 173 layer i am getting the below iss…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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Hi everyone, I'm trying to run the Image Classification example with TF 2.0 and TensorRT 7.
The changes in the API have now made it that the dependency on NETS has been removed but now, it seems that…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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您好,我在复现您的这篇论文,在复现过程中遇到了以下问题:
1. 从数据集Celebrity-Asian和VggFace2中裁剪人脸,存在很多模糊人脸,请问数据集中的模糊数据您是如何处理的,您最终用于训练模型的数据量大概是多少,这部分在论文中没有详细提及;
2. 在**Feature-Level**最后一段中:
```
After the feature-level fusion, …
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Many of our transforms are an attempt to reach some kind of normal form, with joins/filters/maps/projects etc fused and pushed down as far as they can go.
We could instead use a logical IR which d…
jamii updated
3 years ago
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The QKeras BatchNormalization [1] layer is not totally compatible with hls4ml, since it quantizes separately the `beta`, `gamma`, `mean`, `variance`, while in hls4ml we combine these terms into a `sca…
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# Quantified with the Yolov5 model, the MAP@0.5 is high(around 0.47), but the detection results are outrageous and unexpected
These days I have tried to do some quantification with yolov5_nano by …
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- [深度学习模型压缩方法综述(一) - XlyPb - CSDN博客](https://blog.csdn.net/wspba/article/details/75671573)
- [深度学习模型压缩方法综述(二) - XlyPb - CSDN博客](https://blog.csdn.net/wspba/article/details/75675554)
- [深度学习模型压缩方法综述(…