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I ran the file `models/AVT_ConvLSTM_Sub-Attention/main_inference.py`, but got an error:
我按照README运行了main_inference.py,但是报错:
> Given groups=1, weight of size [256, 3, 72, 3], expected input[16, 4, …
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您好,我是一名研二学生,想通过您的代码学习convLSTM,但是在进行训练的时候,运行“train_model('nox',model_nox)”总是出现如下错误:"Can't call numpy() on Tensor that requires grad. Use tensor.detach().numpy() instead."可以向您请教一下是什么原因吗,谢谢您啦
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Hello~ I have a question on different data shape to train **convlstm** model.
If the original data shape is [20, 10000, 64, 64], with the first 10 frames as input and the last 10 frames as predicti…
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I've been trying to use your convlstm into a real use case and for that I'm still suffering a bit with the tuning. I wanted to properly define a learning rate first, and this can be leading me to some…
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Hi, I wonder if current package supports ConvLSTM as the recurrent cell? Do you plan to add that? I think this is important for image based applications.
Thanks! @farizrahman4u
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Hi!
How does `Videomamba` compare to `ConvGRU` and `ConvLSTM` in terms of speed and accuracy?
Thanks.
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作者你好,我想问一下如果自己有具有时间先后顺序的图片数据,我该如何修改代码替换为自己的数据呢
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I am trying to build a ResNet model with a Convolutional LSTM between successive layers. I tile my input tensor `timesteps` number of times and reshape the input tensor to [n,t,h,w,c] to pass as the i…
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There is an implementation in MXNet: https://github.com/apache/incubator-mxnet/pull/6832
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```
# RNN_convLSTM structure
def RNN_convLSTM(x ):
#(1,19,64,64,1) #num_filter, kernei_size
x = tf.contrib.slim.conv2d(x, 1, 1, padding='SAME',activation_fn=tf.nn.relu)
x = tf.…