neso613

Results 14 issues of neso613

I have installled and downloaded the model and run it- it worked. Now, when I checked model summary, using this > restorer = GFPGANer( model_path=args.model_path, upscale=args.upscale, arch=args.arch, channel_multiplier=args.channel, bg_upsampler=bg_upsampler) print("\n\n...",restorer,'\n\n')...

Hi all, I have just started learning TTS model building. I am trying to train fastspeech2 model using ljspeech dataset. For that, I have donwloaded ljspeech dataset and run folllowing...

Hi I am trying to use torch2trt for GlowTTS architecture. Model works with dynamic input length and have tuple as input. While converting, I get this error- ` File "/usr/local/lib/python3.6/dist-packages/torch2trt-0.3.0-py3.6-linux-aarch64.egg/torch2trt/torch2trt.py",...

I have created new conda env and install espnet_model_zoo. I ran this command - `from espnet_model_zoo.downloader import ModelDownloader` got error - > ERROR:root:`espnet_model_zoo` is not installed. Please install via `pip...

Hi there! I am trying to understand Attention OCR repo and its inference. I have seen its input/output details - ![image](https://user-images.githubusercontent.com/31642462/135845091-faaede6e-3d90-4c8e-ac13-97a661a554ce.png) it says, it takes (32) as string. I don't...

type:support
models:research

adding `from tensorflow.keras.layers import BatchNormalization` in place of `from keras.layers.normalization import BatchNormalization`

adding `from tensorflow.keras.layers import BatchNormalization` in place of `from keras.layers.normalization import BatchNormalization`

adding `from scipy.optimize import linear_sum_assignment as linear_assignment ` in place of `from sklearn.utils.linear_assignment_ import linear_assignment`

Hi I am getting error while running commands - `python main.py -c person -i testvideo.mp4` `./model_data/yolo.h5 model, anchors, and classes loaded. Traceback (most recent call last): File "main.py", line 172,...

Trying to download the pretrained model using following code - `from espnet2.bin.asr_inference import Speech2Text from espnet_onnx.export import ASRModelExport m = ASRModelExport() tag_name = 'asr_train_asr_transformer2_raw_zh_char_batch_bins20000000_ctc_confignore_nan_gradtrue_sp_valid.acc.ave' ##### download with espnet_model_zoo and export...