Update utils.py

[lvxiaojie111]

fix the bug！
when running code:
dataset = naip & chesapeake
from https://torchgeo.readthedocs.io/en/stable/tutorials/getting_started.html;
it generates an err:
ValueError: Bounding boxes BoundingBox(minx=440055.0, maxx=446085.0, miny=4295910.600000001, maxy=4303429.2, mint=1541260800.0, maxt=1541347199.999999) and BoundingBox(minx=402172.2959946942, maxx=532531.001762003, miny=4244077.01658443, maxy=4414067.523828775, mint=1356969600.0, maxt=1388505599.999999) do not overlap.

This new request fix the err .

[adamjstewart]

1. I am unable to reproduce the issue you reported, the tutorials all pass
2. The fix is incorrect, you are performing a union, not an intersection

[lvxiaojie111]

您的邮件已经收到。谢谢！                                          吕

[lvxiaojie111]

1. I am unable to reproduce the issue you reported, the tutorials all pass
2. The fix is incorrect, you are performing a union, not an intersection

def __and__(self, other: BoundingBox) -> BoundingBox:
    """The intersection operator.

    Args:
        other: another bounding box

    Returns:
        the intersection of self and other

    Raises:
        ValueError: if self and other do not intersect

    .. versionadded:: 0.2
    """
    try:
        print("**************begin******************************")
        print(max(self.minx, other.minx))
        print(min(self.maxx, other.maxx))
        print(max(self.miny, other.miny))
        print(min(self.maxy, other.maxy))
        print(max(self.mint, other.mint))
        print(min(self.maxt, other.maxt))
        print("**************end********************************")
        return BoundingBox(
            max(self.minx, other.minx),
            min(self.maxx, other.maxx),
            max(self.miny, other.miny),
            min(self.maxy, other.maxy),
            # max(self.mint, other.mint),
            # min(self.maxt, other.maxt),
            # 更改 时间 最小值和最大值
            min(self.mint, other.mint),
            max(self.maxt, other.maxt),
        #     445390.2,
        # 451507.8,
        # 4288884.0,
        # 4296510.6,
        # 1388505599.999999,1534262400.0,

            
            
        )
    except ValueError:
        # pass
        raise ValueError(f'Bounding boxes {self} and {other} do not overlap')

the above code:

1. Whether it is a union or an intersection, the time should be from small to large, and there is no time in reverse order.
2. In the intersection operation, when comparing the times, whether there is a problem of becoming a negative number,
3. I think this is not just a syntax error, it is a principle error.
4. please think carefully.

[adamjstewart]

Can you tell me how to reproduce the error you are reporting? When I run the tutorial on Google Colab everything runs without issue. Did you modify the tutorial in any way?

[lvxiaojie111]

Can you tell me how to reproduce the error you are reporting? When I run the tutorial on Google Colab everything runs without issue. Did you modify the tutorial in any way?

`import os
import tempfile
import time
import planetary_computer
from torch.utils.data import DataLoader

from torchgeo.datasets import NAIP, ChesapeakeDE, stack_samples
from torchgeo.datasets.utils import download_url
from torchgeo.samplers import RandomGeoSampler

naip_root = os.path.join(tempfile.gettempdir(), 'naip')

naip_url = (
'https://naipeuwest.blob.core.windows.net/naip/v002/de/2018/de_060cm_2018/38075/'
)

tiles = [
'm_3807511_ne_18_060_20181104.tif',
'm_3807511_se_18_060_20181104.tif',
'm_3807512_nw_18_060_20180815.tif',
'm_3807512_sw_18_060_20180815.tif',
]

for tile in tiles:
url = planetary_computer.sign(naip_url + tile)
download_url(url, naip_root, filename=tile)

naip = NAIP(naip_root)

chesapeake_root = os.path.join(tempfile.gettempdir(), 'chesapeake')
os.makedirs(chesapeake_root, exist_ok=True)

chesapeake = ChesapeakeDE(chesapeake_root, crs=naip.crs, res=naip.res, download=True)

dataset = naip & chesapeake

`
environment:
torchgeo==0.6.1
torch==2.5.0
plat==window
python==3.10.0

[adamjstewart]

I'm not able to reproduce the error, and all of the tests are failing with this change. Can you try to reproduce the error on Google Colab?

[adamjstewart]

@lvxiaojie111 are you still seeing this issue? If so, how can I reproduce it? If not, then maybe we can close this PR.

[lvxiaojie111]

@lvxiaojie111 are you still seeing this issue? If so, how can I reproduce it? If not, then maybe we can close this PR.

I can only reproduce this problem on Windows. I'm trying to figure out how to reproduce this problem for you.

[adamjstewart]

I'm also not able to reproduce the problem on Windows: https://github.com/microsoft/torchgeo/actions/runs/11931373820/job/33254106741?pr=2419