liumc14
liumc14
Can I have a look at your pred.py file? Thank you
Ok, thank you, but can you take the liberty to ask how to get the corresponding mano parameters according to the pictures in the test set?
But this is the. mono file in the training directory. Our dataset has this file, but only images and k.json and scale.json are available in the evaluation directory. What bothers...
But his pred.py needs to write its own prediction code. Thank you for your advice. The official one does provide it, but I would like to ask how to predict...
My question is： how to predict xyz from a single RGB image? If you have some suggestions, please explain them to me. Thank you
OK, thank you for your suggestion. You can ask about the modle in this project Is py trained? Position_ Can hand directly predict xyz and vert? What I don't understand...
Can I have a look at your pred.py file? Thank you！
> Are there any details and/or performance measurements available for the Faster R-CNN model and the predicate classification in particular (object name, attributes and relationships)? How is the relation class...
我也遇到了，然后我是直接修改了他的代码，加了个**kwargs来接受可能出现的额外参数，def compute_cosent_loss(self, text_ids: torch.Tensor, text_pair_ids: torch.Tensor, labels: torch.Tensor, type: str = 'cosent',**kwargs): https://github.com/OpenSenseNova/piccolo-embedding/blob/9dd1d66cd47981b462d76a6040507663e87ee143/piccolo/model.py#L246
> ToG-3的Heterogeneous Graph architecture + Dual-Evolving Context Retrieval mechanism代码构建在这个库上，我们正在加紧整理代码以合入主分支 I'm really looking forward to seeing the TOG3.0 code you've prepared.