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Loading 16-bit tiff images #2987

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marcelschilling opened this issue Mar 21, 2021 · 7 comments
Open

Loading 16-bit tiff images #2987

marcelschilling opened this issue Mar 21, 2021 · 7 comments
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bug Something isn't working need info Need more information to investigate the issue

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@marcelschilling
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Hello, I tried to load tiff images using the online test version of cvat. However, it always failed when trying to upload a tif image. Uploading jpg or png was possible. Is tiff data format not supported? Thanks in advance. Best, Marcel
@azhavoro
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Hi, I just successfully created a task with a tiff image, could you please share any image you tried to upload? Perhaps your images are using some type of compression or something else that is not supported.

@marcelschilling
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Hi, thank you very much for your response. It tried it with another image (8 bit tiff rgb image) and it worked for me, too. However, using a 16 bit tiff image won't work. Maybe there is a issue/no compatibility to use 16 bit tiff images (maybe pil related)?

@azhavoro azhavoro added the bug Something isn't working label Mar 30, 2021
@azhavoro azhavoro added this to the Backlog milestone Mar 30, 2021
@nmanovic nmanovic changed the title Loading tiff images Loading 16-bit tiff images Apr 15, 2021
@azhavoro
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@marcelschilling Hi,

unfortunately I cannot reproduce the issue with 16 bit depth image, could you please share any image that is not working for you? Thanks

I've tried with:

Format: TIFF (Tagged Image File Format)
  Mime type: image/tiff
  Class: DirectClass
  Geometry: 3072x2048+0+0
  Resolution: 72x72
  Print size: 42.6667x28.4444
  Units: PixelsPerInch
  Colorspace: sRGB
  Type: TrueColor
  Endianness: MSB
  Depth: 16-bit
  Channel depth:
    Red: 16-bit
    Green: 16-bit
    Blue: 16-bit

@azhavoro azhavoro added the need info Need more information to investigate the issue label Jun 28, 2021
@azhavoro
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@marcelschilling I'll close the issue due to no response, please don't hesitate to reopen if the issue is still actual for you.

@gcamfer
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gcamfer commented Mar 11, 2022

I have the same issue.
I think the problem is when there is only one channel, EXIF info:

Filename - THM_00078_00070.tif
ImageWidth - 640
ImageLength - 512
BitsPerSample - 
Compression - 1 (None)
Make - senseFly
Model - senseFlyThermal
StripOffset - 3638
SamplesPerPixel - 1
StripByteCount - 655360
ExifOffset - 3478
DateTimeOriginal - 2014:10:23 10:33:49

GPS information: - 
GPSLatitudeRef - N
GPSLatitude - 46.535397  0  0 (46.535397)
GPSLongitudeRef - E
GPSLongitude - 6.55555  0  0 (6.555550)
GPSAltitude - 528.10 m

I download the images from sensefly web:
https://senseflycom.s3.amazonaws.com/datasets/thermomap-solarpanel/Geotagged%20images.rar

If necessary I will open another isue for this topic.
Thanks

@FeryET
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FeryET commented Jun 6, 2022

Hello. Is there any update on tif images?

@MyNameIsFu MyNameIsFu mentioned this issue Sep 27, 2022
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@nmanovic nmanovic reopened this Dec 10, 2022
@nmanovic nmanovic removed this from the Backlog milestone Dec 10, 2022
nmanovic pushed a commit that referenced this issue Jan 11, 2023
@MyNameIsFu
Loading 16-bit tiff images (#5005)
881c1aa 
Pull Request regarding Issue #2987 

PIL.Image conversion from I;16 to L or RGB are unsuccessful as for now.
See the corresponding Issue in the Pillow GitHub (Opened 2018, so no
changes to be expected)
python-pillow/Pillow#3011

The proposed changes at least fix this issue for the mode 'I;16' and
delivers a possible solution for other modes (eg. I;16B/L/N).

This results in a correct calculation of the preview thumbnail and the
actual image, the annotation will be performed on.

We have used this solution on our own dataset and created annotations
accordingly.
@KasimirOr
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KasimirOr commented May 25, 2023 •
edited
Loading

Hello, I tried to upload geotiff images using the online version of cvat. I can upload the images as new tasks but they appear fully black (they are not!). When uploading a JPEG it works fine. Can you please help me with that? Might this be related to 4 bands of the images (RGB + NIR)?
Thanks a lot!

Best,
Kasimir

mikhail-treskin pushed a commit to retailnext/cvat that referenced this issue Jul 1, 2023
@MyNameIsFu @mikhail-treskin
Loading 16-bit tiff images (cvat-ai#5005)
d56d3f2 
Pull Request regarding Issue cvat-ai#2987 

PIL.Image conversion from I;16 to L or RGB are unsuccessful as for now.
See the corresponding Issue in the Pillow GitHub (Opened 2018, so no
changes to be expected)
python-pillow/Pillow#3011

The proposed changes at least fix this issue for the mode 'I;16' and
delivers a possible solution for other modes (eg. I;16B/L/N).

This results in a correct calculation of the preview thumbnail and the
actual image, the annotation will be performed on.

We have used this solution on our own dataset and created annotations
accordingly.
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6 participants
@gcamfer @FeryET @nmanovic @azhavoro @KasimirOr @marcelschilling