GabLeRoux
/ .env.example
Last active
February 12, 2024 15:40
— forked from HeshamMeneisi/docker-compose
Mount S3 as Docker Volume (docker-compose)
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| AWS_S3_BUCKET= | |
| AWS_S3_ACCESS_KEY_ID= | |
| AWS_S3_SECRET_ACCESS_KEY= |
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| deploy_dev: | |
| stage: deploy | |
| dependencies: | |
| - test | |
| environment: | |
| name: Development | |
| image: alpine | |
| script: | |
| # Environment variables | |
| - export DOMAIN=$(echo "$CI_ENVIRONMENT_URL" | sed -e 's|^https://||;s|/.*$||') |
hrshovon
/ build_opencv_ARM_cross
Last active
May 21, 2022 17:10
Cross compile opencv3.3.0 for your raspberry pi and similar ARM devices with python support
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| This is a note on how to cross compile opencv for pretty much any ARM device(HardFP supported in this case) and deploy. Native | |
| compiling in ARM devices can be painfully slow and they seem to hang often during build(mine got stuck at 43%). So if you happen | |
| to have a desktop/laptop/server running ubuntu or similar linux distro, u can build opencv in fractionth of the time taken for | |
| native compiling without any issues. | |
| Building opencv3 with TBB and NEON and VFP support can boost opencv performance. Thanks to Adrian at pyimagesearch for pointing | |
| that out. | |
| Both my PC and target machine aka orange pi zero are running ubuntu 16.04 with python2.7 and python 3.5. | |
| Let us use the term "build machine" for your PC where you are building opencv and "target machine" for the ARM single board computer. | |
| 1.Run the following commands in both machines(I think installing these in target machine only would do) to install the necessary libraries etc.(mine worked with them,so they should be enough |