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opencv 4.x fix double del dnn_cuda option #16587
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I detected other pull requests that are modifying opencv/4.x recipe:
This message is automatically generated by https://github.com/ericLemanissier/conan-center-conflicting-prs so don't hesitate to report issues/improvements there. |
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This needs #16678 (comment) which will fix the conflcits |
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Hooks produced the following warnings for commit 3221c29opencv/3.4.17
opencv/3.4.12
opencv/4.5.2
opencv/4.5.5
opencv/4.1.2
opencv/4.5.3
opencv/4.5.1
opencv/4.5.0
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This pull request has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
Conan v1 pipeline ❌Failure in build 14 (
Note: To save resources, CI tries to finish as soon as an error is found. For this reason you might find that not all the references have been launched or not all the configurations for a given reference. Also, take into account that we cannot guarantee the order of execution as it depends on CI workload and workers availability. Conan v2 pipeline ❌
The v2 pipeline failed. Please, review the errors and note this will be required for pull requests to be merged in the near future. See details:Failure in build 10 (
Note: To save resources, CI tries to finish as soon as an error is found. For this reason you might find that not all the references have been launched or not all the configurations for a given reference. Also, take into account that we cannot guarantee the order of execution as it depends on CI workload and workers availability. |
I am going to close this as solved as https://github.com/conan-io/conan-center-index/blame/master/recipes/opencv/4.x/conanfile.py#L995 has correct the issue |
Specify library name and version: opencv/4.X
Currently, when deactivating both with_cuda and dnn options the configuration fails with following output:
This Issue is produced by the fact that the dnn_cuda was tried to be deleted twice, which is fixed by this PR.
Edit: It seem that this is only an error when using conan2. For conan1.59 it's actually not failing.