Function tocuda

filter/dypcd_tanks.py:103–109

(varlist:list)

@torch.no_grad()
def reproject_with_depth_pytorch(depth_ref, intrinsics_ref, extrinsics_ref, depth_src, intrinsics_src, extrinsics_src):
    def tocuda(varlist:list):
        out=[]
        for var in varlist:
            if isinstance(var,np.ndarray):
                var=torch.from_numpy(var.copy())
            out.append(var.cuda())
        return out
    def tonumpy(varlist:list):
        out=[]
        for var in varlist: