Open liangxuejingjing opened 8 months ago
Which codebase (torch or paddle) do you use?
Just find and modify *eval_size
in related config file.
You can star this repo to follow updates, https://github.com/lyuwenyu/RT-DETR/issues/179
Which codebase (torch or paddle) do you use?
Just find and modify
*eval_size
in related config file.You can star this repo to follow updates, #179
torch
Which codebase (torch or paddle) do you use?
Just find and modify
*eval_size
in related config file.You can star this repo to follow updates, #179
Though I have run rt-detr with higher resolution, the output is not ideal. How can I add a feature map “S6”?
try to modify num_levels
in decoder.
Which codebase (torch or paddle) do you use?
Just find and modify
*eval_size
in related config file.You can star this repo to follow updates, #179
Hi @lyuwenyu,
Does this require retraining, or can this be just done for inference?
为什么修改完https://github.com/lyuwenyu/RT-DETR/blob/main/rtdetr_pytorch/configs/rtdetr/include/rtdetr_r50vd.yml#L50配置文件后,还是只有3层特征层的输出?
Thank you for releasing this excellent project, I wanna run it on high resolution, e.g. 2048*2048, how can I change the network?