NVIDIA / NVIDIA/DALI

Pythonic TIFF Reader

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enhancement external contribution welcome
Dominant language
C++
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Description

I'm migrating over an issue from RAPIDS here: https://github.com/rapidsai/cudf/issues/2727

It would be great to have a Pythonic GPU-enabled TIFF reader. TIFF is a common image format that is commonly used both in satellite imagery and scientific imaging fields. It has a well-defined (if somewhat poorly scoped) spec and should, I hope, be straightforward to implement.

I would expect the result of this to be something like a CuPy array, or at least something that satisfies the __cuda_array_interface__ protocol.

I'm not sure if this is in-scope for DALI, but I thought I'd ask.

There is a fair amount of content in the other issue. Folks may want to start there.

cc @OlivierNV @jakirkham @datametrician .

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the migrated RAPIDS cuDF issue 2727 and the DALI scope question. Assess how a TIFF reader would fit DALI and whether its result can satisfy the CuPy array or cuda_array_interface expectation. Done means an agreed implementation scope and a GPU-enabled TIFF reader producing a compatible array.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
computer-vision
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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