Pavan

@zzxmllq You have to fetch the data from scannet and use the script in `prepare_data` folder. You have to download the entire scannet data or do some reverse engineering to...

@edith-langer tl;dr I haven't been able to do it. The way it is setup, seems not straight forward ts;dr 1) You can use the test data to just test on...

Yes you can visualize the data using the generated `.bin` file using this ``` def read_array_from_file(filename): file = open(filename,'rb') vals = [] try: sz0 = struct.unpack('Q',file.read(struct.calcsize('Q')))[0] sz1 = struct.unpack('Q',file.read(struct.calcsize('Q')))[0] sz2...

I am trying this with a custom capture of RGBD data (not with kinectv1). I converted the capture into TUM dataset format and ran surfel meshing but the mesh generated...

Hi @ArnaudHambenne , .readPixels() doesn't seem to work as well. What browser did you use and what device? My code is something like - ``` function onXRFrame(t, frame) { let...

The math seems straightforward but it is a bit complicated to get it right as debugging is quite hard. Having said that, I will reiterate some points that the authors...

@CodeAunt yes you are right. This PR is not updated for the latest OSX updates. The latest tbb changes (openapi) require a lot of changes. I will take a stab...

@CodeAunt I'll leave a dockerfile here for you to create a reproducible build. Hopefully, this helps you ``` FROM ubuntu:18.04 ENV DEBIAN_FRONTEND noninteractive RUN apt-get -qq update && apt-get -y...

Hi @OneEyedEagle Where did you download the `obj` and `mtl` fils for the fountain dataset? I remember Let there be color project from [here](http://www.gcc.tu-darmstadt.de/home/proj/texrecon) but this seems to be offline...

To solve this properly, you need to modify the `CMakelists.txt` file. You have to add `opencv_imgcodecs` into `target_link_libraries` and also change the hardcoded paths of `include_directories` from `/orion/u/jingweih/3rd` to whatever...