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- coco.yaml is missing
- I just run the code for coco dataset. it seems the time window is always 1. According to your mem_update logic in this case it doesn't experience any voltage membrane decay …
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## 論文概要
時間的に疎な入力を扱うSpiking Neural Networkの実施は電力効率が並外れているが、現状画像分類等の単純なタスクに限定されている。そこで物体検出が可能になるSpiking-Yoloを提案。Tiny Yoloの約280倍のエネルギー効率かつ従来のDNN→SNN変換手法と比較し2.3~4倍で収束。
現状主に単純なタスクにしか用いられていない理由として複雑なダイナ…
tkuri updated
2 years ago
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Hi,
Could you please help me with the followings related to the code?
1. you have mentioned 2 files ( train_SpikeYOLO.py and test_SpikeYOLO.py) to train and test respectively. But those two fil…
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Dear author,
Have you tried to deploy Spiking-YOLO on FPGA platforms such as Ultra-96 or other boards like this. If then, how about the accuracy, speed, and energy consumption?
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您好！我希望能够向您请教，了解SNN如何学习回归问题。
我最近正在学习Spikingjelly的教程，希望能够将SNN用于更广泛的CV问题。Spikingjelly教程中给出的Task都是classification，但我想用SNN来做regression。我目前了解到SNN在regression问题上的应用是AAAI-20的《Spiking-YOLO》，我浏览了该论文，但是文中没有详细说明…
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Hello,
I want to train the Yolov3-tiny-ours model on the VOC dataset but didn't find the code and dataset download script. How did you train the model on the VOC dataset ?
Also, do you plan to i…
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你好，
非常感谢你的源码，解决了我对Spiking YOLO的很多疑惑。
但我在运行ann_to_snn.py的过程中遇到了内存开销过高的问题，导致device='cpu'时内存占用将近80G，而无法在GPU上运行。
我发现在调用例如：
https://github.com/cwq159/PyTorch-Spiking-YOLOv3/blob/941c3faddc2ecc6ab02086a…
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Hi community, first of all, thanks for this amazing contribution.
I was wondering if it is possible to fine tune a pre-trained yolo network, for that I assume that `--weights` parameter should poin…
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I trained the Tiny YOLO model for my own dataset and things worked out pretty well for me. Thank you for your implementation. Now, I am trying to optimize the performance while training. I noticed tha…
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**Issue type**
- [x] Help wanted
**SpikingJelly version**
`latest`
**Description**
基于yolov5最新版本的代码，将其修改为snn版本，优化器保持为原始梯度优化器，在单步模式下模型不收敛，在多步模式下(时间步长设为4)也不收敛，请问这个问题有人碰到过吗？