Open hcyoo93 opened 3 years ago
Hey! I'm facing the same problem. I am also using the newest version of the dataset. Do you have a solution for it?
Hi @tobii95
I have no idea about this issue.
Maybe we can skip some problematic frames for exporting. (I remember this occurs only for some frames... not every frame)
Hey @tobii95 and @hcyoo93,
I just downloaded the dataset a few weeks ago, but I got the exact same error when trying to convert it to KITTI format. Have you been able to find a solution and if not is it possible to just skip the affected frames?
Hey @mnik17 ,
some time has pased, so I don't remember the issue in detail anymore. But as I remember it, I just skipped the affected frames and that worked for me
I just faced the problem, and I solved it in an easy way.. I modified the function "def from_file" in the following way:
def from_file(cls, file_name: Path) -> "LidarPointCloud":
"""Loads LIDAR data from binary numpy format. Data is stored as (x, y, z, intensity, ring index).
Args:
file_name: Path of the pointcloud file on disk.
Returns: LidarPointCloud instance (x, y, z, intensity).
"""
assert file_name.suffix == ".bin", "Unsupported filetype {}".format(file_name)
scan = np.fromfile(str(file_name), dtype=np.float32)
try:
points = scan.reshape((-1, 5))[:, : cls.nbr_dims()]
except:
l = len(scan)//5
points = scan[:5*l].reshape((-1, 5))[:, : cls.nbr_dims()]
print("Error solved in {}".format(file_name))
return cls(points.T)
regarding #50 issue,
The same error comes up as below
I am informed from #50 that the latest version of the Lyft dataset should be OK with this issue.
However, I got the same issue with the newest version(downloaded in July 2020).
As far as I know, the previous version has its folder name as v1.01-train/lidar which is different from mine: train/train_lidar.
How can I resolve this? Any comments are welcome!