[BUG] Fiftyone fails to create the metadata for large images

Instructions

Describe the problem

When a dataset contains large images (e.g. 16384x16384 pixels), the metadata for those images don't get populated with the image info (width, heigth, channels etc) when running functions such as add_coco_labels, dataset.compute_metadata etc. See slack thread: https://fiftyone-users.slack.com/archives/C0189A476EQ/p1714051750838069 @swheaton

Code to reproduce issue

dataset = fo.Dataset.from_dir(dataset_dir="path/to/image/folder", # folder needs to contain at least one very large image 
                                                dataset_type=fo.types.ImageDirectory,
                                                name="name")

dataset.compute_metadata(skip_failures=False)

Computing metadata...
INFO:fiftyone.core.metadata:Computing metadata...
 100% |█████████████████████| 6/6 [4.8ms elapsed, 0s remaining, 1.2K samples/s] 
INFO:eta.core.utils: 100% |█████████████████████| 6/6 [4.8ms elapsed, 0s remaining, 1.2K samples/s] 
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[51], line 1
----> 1 dataset.compute_metadata(skip_failures=False)

File c:\Users\anaconda3\envs\openvino\Lib\site-packages\fiftyone\core\collections.py:2888, in SampleCollection.compute_metadata(self, overwrite, num_workers, skip_failures, warn_failures, progress)
   2864 def compute_metadata(
   2865     self,
   2866     overwrite=False,
   (...)
   2870     progress=None,
   2871 ):
   2872     """Populates the ``metadata`` field of all samples in the collection.
   2873 
   2874     Any samples with existing metadata are skipped, unless
   (...)
   2886             (None), or a progress callback function to invoke instead
   2887     """
-> 2888     fomt.compute_metadata(
   2889         self,
   2890         overwrite=overwrite,
   2891         num_workers=num_workers,
   2892         skip_failures=skip_failures,
   2893         warn_failures=warn_failures,
   2894         progress=progress,
   2895     )

File c:\Users\anaconda3\envs\openvino\Lib\site-packages\fiftyone\core\metadata.py:290, in compute_metadata(sample_collection, overwrite, num_workers, skip_failures, warn_failures, progress)
    288     logger.warning(msg)
    289 else:
--> 290     raise ValueError(msg)

ValueError: Failed to populate metadata on 6 samples. Use `dataset.exists("metadata", False)` to retrieve them

This is probably due to the use of the function fo.core.metadata.get_image_info, that uses the library PIL to read the image. In fact, trying to run this function on one of the large images gives the following error:

fo.core.metadata.get_image_info("path/to/large/image.jpg")

DecompressionBombError                    Traceback (most recent call last)
Cell In[53], line 1
----> 1 fo.core.metadata.get_image_info("path/to/large/image.jpg")

File c:\Users\anaconda3\envs\openvino\Lib\site-packages\fiftyone\core\metadata.py:332, in get_image_info(f)
    322 def get_image_info(f):
    323     """Retrieves the dimensions and number of channels of the given image from
    324     a file-like object that is streaming its contents.
    325 
   (...)
    330         ``(width, height, num_channels)``
    331     """
--> 332     img = Image.open(f)
    334     # Flip the dimensions if image metadata requires us to. PIL.Image doesn't
    335     #   handle by default.
    336     if _image_has_flipped_dimensions(img):

File c:\Users\anaconda3\envs\openvino\Lib\site-packages\PIL\Image.py:3288, in open(fp, mode, formats)
   3285             raise
   3286     return None
-> 3288 im = _open_core(fp, filename, prefix, formats)
   3290 if im is None and formats is ID:
   3291     checked_formats = formats.copy()

File c:\Users\anaconda3\envs\openvino\Lib\site-packages\PIL\Image.py:3275, in open.<locals>._open_core(fp, filename, prefix, formats)
   3273         fp.seek(0)
   3274         im = factory(fp, filename)
-> 3275         _decompression_bomb_check(im.size)
   3276         return im
   3277 except (SyntaxError, IndexError, TypeError, struct.error):
   3278     # Leave disabled by default, spams the logs with image
   3279     # opening failures that are entirely expected.
   3280     # logger.debug("", exc_info=True)

File c:\Users\anaconda3\envs\openvino\Lib\site-packages\PIL\Image.py:3183, in _decompression_bomb_check(size)
   3178 if pixels > 2 * MAX_IMAGE_PIXELS:
   3179     msg = (
   3180         f"Image size ({pixels} pixels) exceeds limit of {2 * MAX_IMAGE_PIXELS} "
   3181         "pixels, could be decompression bomb DOS attack."
   3182     )
-> 3183     raise DecompressionBombError(msg)
   3185 if pixels > MAX_IMAGE_PIXELS:
   3186     warnings.warn(
   3187         f"Image size ({pixels} pixels) exceeds limit of {MAX_IMAGE_PIXELS} pixels, "
   3188         "could be decompression bomb DOS attack.",
   3189         DecompressionBombWarning,
   3190     )

DecompressionBombError: Image size (268435456 pixels) exceeds limit of 178956970 pixels, could be decompression bomb DOS attack.

This can be fixed by changing the PIL.Image.MAX_IMAGE_PIXELS default value to a large one (e.g. 1000000000)

System information

OS Platform and Distribution (e.g., Linux Ubuntu 22.04): Window 11
Python version (python --version): 3.11.7
FiftyOne version (fiftyone --version): v0.23.8
FiftyOne installed from (pip or source): pip

Other info/logs

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Willingness to contribute

The FiftyOne Community encourages bug fix contributions. Would you or another member of your organization be willing to contribute a fix for this bug to the FiftyOne codebase?

[ ] Yes. I can contribute a fix for this bug independently
[x] Yes. I would be willing to contribute a fix for this bug with guidance from the FiftyOne community
[ ] No. I cannot contribute a bug fix at this time

voxel51 / fiftyone