Seohee Park
Seohee Park
I have tested that code. However, I found that the code was wrong because I guessed the pose without detecting the bounding box.
Hi ! This is not a matter of adding six classes. Just change the name of the class. [coco.names] -> [origin_coco.names] motobike -> motorcycle pottedplant -> potted plant diningtable ->...
I solved it by updating the file from old SMPL file to updated SMPL file.
I solved it by updating the file from SMPLX_NEUTRAL.npz(108.8MB) to SMPLX_NEUTRAL_2020.npz (167.3MB)
Hi. In my case, the problem was caused by the A100 GPU not supporting WDDM. This was resolved by running it on an RTX series GPU.
@csukuangfj Good news! Are there any plans for a Korean Onnx version?
@csukuangfj I will analyze the Chinese + English version and attempt to perform inference on the Korean ONNX version. Thank you!
In this code, you can get the bert value through the **get_bert** function. Bert calls a different torch model for each language, and there is only a Python implementation. https://github.com/myshell-ai/MeloTTS/blob/144a0980fac43411153209cf08a1998e3c161e10/melo/utils.py#L22
In your code, there is a part where bert and ja_bert are entered as model inputs in ModelWrapper. https://github.com/k2-fsa/sherpa-onnx/blob/963aaba82b01a425ae8dcf0fdcff6b073a45686f/scripts/melo-tts/export-onnx.py#L172 So, even though I specified input_names as below when exporting to...