Sadam Hussain Memon
Sadam Hussain Memon
> @tugstugi After i train the model you have provided, i am having some checkpoints with . pth format. However, when i downloaded these .pth files, i noticed that they...
@jennyzu @walterwang I don't see any normalization (with `imagenet_mean` and `imagenet_std ` values) in `cam.py` since `transform_batch_images` is not called. I think due to this test.py and cam.py return different...
you can substitute `librosa.output.write_wav('samples/{}.wav'.format(chr(int(i/50)+65)), tmp_batch, sr)` with ``` import soundfile as sf sf.write('samples/{}.wav'.format(chr(int(i/50)+65)), tmp_batch, sr) ``` in your code. @ropinheiro
> (Speech) Sangram:resample sing$ python resample.py > Traceback (most recent call last): > File "resample.py", line 8, in > librosa.output.write_wav(newFilename, y_16, 16000) > AttributeError: module 'librosa' has no attribute 'output'...
> Hy , I edit the code in resample.py with the comments in #4 (comment). > > sf.write('samples/{}.wav'.format(chr(int(i/50)+65)), tmp_batch, sr)` > > but I get an error with the new...
Please add DC-TTS to the the list of models. **DC-TTS** implementation available with MIT Licence [code available here](https://github.com/tugstugi/pytorch-dc-tts) EFFICIENTLY TRAINABLE TEXT-TO-SPEECH SYSTEM BASED ON DEEP CONVOLUTIONAL NETWORKS WITH GUIDED ATTENTION...
@Akhiladdh @harikrishnanvs Hey guys, It worked for me after I changed the name in denseNet_localization.py `module.densenet121.features.denseblock4.denselayer16.conv.2` to `module.densenet121.features.denseblock4.denselayer16.conv2` I had some package version issues as well. My package versions :...
Once you have fixed that you'll run into this error `invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python number ` To fix...
@thtang does this repo has any method for that or do I have to create one for my self?
``` 00000003_000.png 18 Atelectasis 411.8 512.5 219.0 139.1 Atelectasis 276.0 312.0 216.0 136.0 Atelectasis 524.0 308.0 216.0 136.0 Cardiomegaly 348.5 392.3 479.8 381.1 Cardiomegaly 64.0 320.0 476.0 380.0 Effusion 396.5...