opencv / opencv/opencv-python

Build OpenCV Python wheel with CUDA support (Jetson Xavier NX Developer Kit)

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Dominant language
Python
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Description

Expected behaviour

Successful creation of a .whl file according to the provided guide. Wheel file should account for customization flags (e.g., CUDA/cuDNN enabled) in order to later install with pip package manager.

Actual behaviour

Summarized in this screenshot
9912e1f22b5d9ac44356612a3eaa8db78feecda9

Steps to reproduce
  • Operating system: Linux 4 Tegra (Jetpack 5.1.2 [L4T 35.4.1])
  • Architecture: aarch64
Issue submission checklist
  • This is not a generic OpenCV usage question (looking for help for coding, other usage questions, homework etc.)
  • I have read the README of this repository and understand that this repository provides only an automated build toolchain for OpenCV Python packages (there is no actual OpenCV code here)
  • The issue is related to the build scripts in this repository, to the pre-built binaries or is a feature request (such as "please enable this additional dependency")
  • I'm using the latest version of opencv-python

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 with the repository's manual debug build guide and reproduce the failure on Linux 4 Tegra, Jetpack 5.1.2, aarch64, using the reported CUDA/cuDNN configuration. Inspect the build output and screenshot details; done means a .whl is created with the requested customization flags and can be installed with pip.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
build-system
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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