EPro-PnP-v2

EPro-PnP-v2 copied to clipboard

Could a new type of loss be introduced for classes?

3

In [EPro-PnP-Det_v2](https://github.com/tjiiv-cprg/EPro-PnP-v2/tree/main/EPro-PnP-Det_v2) if we want to improve the classification performance, could theoretically a new type of loss be introduced with the help of the deformable correspondance head? I was thinking...

harsanyidani

mini-dataset output Json file

1

Thank you for the exciting paper, and providing the codes! I needed the json output file of the mini dataset for my bachelor project, can you please share it with...

apourghani

Hello author, your work is great! My custom dataset is a scene from a monitoring perspective, which is a tilted camera perspective. I want to infer images. Is there a...

Fengzexu

Hi there, Thanks for sharing all the work and code, very interesting. I was wondering if you have any code for training the object detectors mentioned in your papers? This...

cviviers

Dear hansheng, Thank for the second version. I am wondering how to change the coordinate in such setting: x3d fixed, but to predict x2d, w2d. Now the x2d is [0,1,2,....]×[0,1,2,....]，the...

LeonardPatrick

torchvision requires a python version > 3.8

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* torchvision requires the minimum python version of 3.8. I tried setting up the venv with conda. Did not work. * Is it possible to setup the venv using pip...

saeedEnte