hamaadtahiir

It does give me output but some labels are missing compared to the png files found in hr vton training data. I ran cihp pgn on the hr vton images...

yes, by labels i mean different segmentations classes. For example: 0-Background 1-Hat 2-Hair 3-Glove 4-Sunglasses 5-Upper-clothes 6-Dress 7-Coat 8-Socks 9-Pants 10-tosor-skin 11-Scarf 12-Skirt 13-Face 14-Left-arm 15-Right-arm 16-Left-leg 17-Right-leg 18-Left-shoe 19-Right-shoe

yes, but when I run cihp_pgn on hr vton data, it fails to give segmentation labels for the lower part of body. I am using tensorflow version 2.8.0 with gtx...

hr vton model is just bad in generalization. I used the simple human parser as well, changed the labels and still results were very poor

yes, I have been trying to implement langchain llamacpp streaming through fast api and all the solutions I have implemented so far give the same run time warning without giving...

> Remove these: Still getting no streaming output  As for this: `async for chunk in model.astream(prompt): print(chunk.content, end="", flush=True)` I still get the response printed all at once without...

yes, it is related to langchain.llamacpp

sure, thanks. Can you share the final version of your paper? On Thu, Jun 30, 2022 at 1:58 PM jokerlc ***@***.***> wrote: > Hi, the inference code is provided and...