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我想输入维度为(T,N,C)的时序数据
还有就是多步模式必须维度=4,导致没法直接用时序数据的T作为第一维度,输入数据不可以为(T,N,C),而增加一维(T,N,C,L)就会导致前面的conv和linear面临新的报错,没办法,只能把时序数据当成普通数据,额外新增一个维度T,是否spikingjelly并不是为时序数据而开发的,只是用来处理静态图像数据,例如mnist和Imagenet-1k
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Hi,
I am a newbie, and I want to know how can I use this library to extract the visual facial embedding of videos so that I can use it for a real-time speech separation model so that it have the tem…
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Hi @fangwei123456 ,
How I can plot training and validation curves for this model?. Please guide.
Best
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**Issue type**
- [ ] Bug Report
- [ ] Feature Request
- [ ] Help wanted
- [x] Other
**Description**
你好!最近阅读的部分论文中提到了可以生成负脉冲来提升SNN的特征提取能力,现在查看SpikingJelly的文档暂时没有发现能够自定义生成负脉冲的方法,请问有没有负脉冲的实…
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# **Read before creating a new issue**
**For faster response**
@DingJianhao @fangwei123456
**Issue type**
- [ ] Bug Report
- [ ] Feature Request
- [x] Help wanted
- [ ] Other
**De…
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Model params: 63.61 M
0%| | 1/500000 [10:31
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二值脉冲本应用bool类型表示,能够极大的节省显存。但由于PyTorch的bool类型不支持携带梯度,需要设法重写梯度的机制。
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i tried to use stereospike which is using your repo to do image reconstruction from event camera rather than optical flow.
But iam unable to get reconstruct image using event camera as input.
Requ…
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报错信息如下:
Traceback (most recent call last):
File "Train/TrainMultiEMO.py", line 1166, in
multiemo_train.train_or_eval_linear_model()
File "Train/TrainMultiEMO.py", line 1060, in train_or…
Yu-xm updated
10 months ago