Box Status

inverted in the vertical and horizontal directions

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大門 未希生
  • Edited

I have received a report that when uploading data to the BOX, the images are sometimes inverted in the vertical and horizontal directions.

I have not been able to track down the cause of this problem myself, though I have been told that such a case existed in the past,
However, considering that we will be uploading thousands of images, we would like to avoid manual visual checks as much as possible.

Please let us know the possible causes and countermeasures.
If there are no reports of such cases, please let us know.

Thank you in advance.

Translated with DeepL.com (free version)

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  • Florence Gayhart
    • Edited

    Hello,

    Here are the possible causes and countermeasures for images being inverted when uploaded to Box:

    Possible Causes:
    Metadata Issues: Incorrect orientation information in image metadata.
    Software Bugs: Bugs in the software or API used for uploading.
    Image Processing: Issues during resizing or compressing images.
    Browser/Device Specific: Different handling of image orientation.

    Countermeasures:
    Check Metadata: Use tools like ExifTool to inspect and correct metadata.
    Update Software: Ensure you’re using the latest version of the software or API.
    Pre-Upload Validation: Implement a step to check and correct orientation before uploading.
    Automated Scripts: Use scripts to process and correct images. For example, a Python script with Pillow:

    from PIL import Image, ExifTags

def correct_image_orientation(image_path):
    image = Image.open(image_path)
    for orientation in ExifTags.TAGS.keys():
        if ExifTags.TAGS[orientation] == 'Orientation':
            break
    exif = image._getexif()
    if exif is not None:
        orientation = exif.get(orientation)
        if orientation == 3:
            image = image.rotate(180, expand=True)
        elif orientation == 6:
            image = image.rotate(270, expand=True)
        elif orientation == 8:
            image = image.rotate(90, expand=True)
    image.save(image_path)

# Example usage
correct_image_orientation('path_to_your_image.jpg')

     

    Hope this work for you.

     

     

     

     

     

     

     

     


    Best Regards,
    Florence Gayhart
    HP Instant Ink

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