mpottinger

> Hi~ I just read a paper about this. Before converting a pointcloud to a TSDF volume, the pose at which the point is observed should be saved. Then the...

I know this is an old thread, but I just want to thank you for bringing this up. I am working on my own 3D scanning application and sparse points...

> any chance we could get this implemented for the ortographic viewer? > > @mpottinger Is your implementation in the form of a CC plugin or something you could easily...

Update: One thing I missed was the Pytorch version. The other repo had a newer version. I upgraded to 1.7.1 for this one and inference speed is identical @ 8...

I am simply timing the inference within test.py like this: `start_time = time.time() model.test() # run inference print("test FPS: ", 1 / (time.time() - start_time)) # FPS ` I also...

Ok thank you. I am currently working more on my app that will make use of the models. I have figured out how to convert the model to mobile via...

> How does the onnx model compares to the compressed, is it faster in inferencing? memory? size? > Also, share with me your email so i can contact you, i...

Yeah with more TOF equipped phones coming out, this will be a must have. AR without dense depth is just half baked imo. I can't make good use of it....

@lvonasek That is really good to know, thanks! Also there are two software only based approaches by Facebook research and Google that look really promising and are supposed to work...

I am not 100% certain because I have not tried training a model yet, but I am pretty sure the requirements are similar to the original vid2vid, which means pretty...