Jaskaran Singh Puri

> Our nnet3-based decoder is implemented based on nnet3 decoder in Kaldi. > I have seen claims that our decoder is not as accurate as Kaldi's. I believe there could...

Nope, I always get `HTTPError: 400 Client Error: Bad Request for url`

Same issue, were you able to resolve it?

> Dear purijis, > Try to load your trained model by editing the test.py file, e.g, > net.load_state_dict(torch.load('checkpoints/generator_100.pth')) > > Results are still not very impressive. Thanks, also the loss...

> I did not observed it, but results are not very good on my dataset (1600 images) trained for 200 epochs. Right, for me, model is also not generalising well...

Okay, understood. My question was regarding this line. If I have image of 10 bands, this function will fail, I cannot convert my 8 band image to CIELAB color space...

Thanks for this explanation. As mentioned in the paper, `K` is the number of centroids, in your script, is `numSegments` doing the same thing and the number of seeds are...

okay, understood! but this dosen't work well on `TIFs`, works fine on PNG/JPG. I feel it is not taking `100% stretch` or maybe not using the multiple bands values and...

Hmm, Im still confused. What do I have to change at my end? The compactness?

So I was able to run something recently with a 14-band image, `numsegments = 300 and compactness = 0.01` However, the SNIC doesn't seem to run till 100% ``` processed...