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n0obcoder

cannot open shared object file

somebody pls reply.

ImportError: cannot import name '_mask'

> Just find out that you have to install the CoCO API. > > cd data > > git clone https://github.com/pdollar/coco.git cd coco/PythonAPI > > make > > cd ../../.....

ImportError: cannot import name '_mask'

> Just find out that you have to install the CoCO API. > > cd data > > git clone https://github.com/pdollar/coco.git cd coco/PythonAPI > > make > > cd ../../.....

attention weights should be reordered as well as the outputs in case inputs were sorted and packed when doing batch inference

i added `reordered_for_weights = Variable(att_weights.data.new(att_weights.size())) reordered_for_weights[perm_idx] = att_weights att_weights = reordered_for_weights` after `if reorder_output: ` but it doesnt seem to make any change in the ordering of the attention weights....

Can you provide the wav2lip.pth?

there are 3 links, yes. What i am talking about is the 4th link. This 4th model wav2lip.pth can be used in place of wav2lip_gan.pth. It is supposed to give...

Online Testing

@qordobafranzi hey buddy, did you find out how this online testing works ?

ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float64: 'Tensor("strided_slice_2/stack_1:0", dtype=float64)'

> I was able to solve it by changing > `half = self.batch_size / 2` > to > `half = tf.cast((self.batch_size / 2),tf.int32)` in which file ? @omrivm

ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float64: 'Tensor("strided_slice_2/stack_1:0", dtype=float64)'

@omrivm yes i found that already . But i appreciate you replying back in no time ! : D Cheers ! : )