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Alex Tran 2022-07-27 13:09:52 -05:00
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README.md
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@ -65,22 +65,19 @@ This project is under heavy development, there will be continuous functions, fea
| Selective album(s) for backup | Yes | N/A
| Download photos and videos to local device | Yes | Yes
| Multi-user support | Yes | Yes
| Shared Albums | Yes | No
| Album | No | Yes
| Shared Albums | Yes | Yes
| Quick navigation with draggable scrollbar | Yes | Yes
| Support RAW (HEIC, HEIF, DNG, Apple ProRaw) | Yes | Yes
| Metadata view (EXIF, map) | Yes | Yes
| Search by metadata, objects and image tags | Yes | No
| Administrative functions (user management) | No | Yes
| Administrative functions (user management) | N/A | Yes
# System Requirement
**OS**: Preferred unix-based operating system (Ubuntu, Debian, MacOS...etc).
I haven't tested with `Docker for Windows` as well as `WSL` on Windows
*Raspberry Pi can be used but `immich-machine-learning` container has to be comment out in `docker-compose` since TensorFlow has not been supported in Docker image on arm64v7 yet.*
**RAM**: At least 2GB, preffered 4GB.
**Core**: At least 2 cores, preffered 4 cores.
@ -248,7 +245,7 @@ Cheers! 🎉
## TensorFlow Build Issue
*This is a known issue on RaspberryPi 4 arm64-v7 and incorrect Promox setup*
*This is a known issue for incorrect Promox setup*
TensorFlow doesn't run with older CPU architecture, it requires a CPU with AVX and AVX2 instruction set. If you encounter the error `illegal instruction core dump` when running the docker-compose command above, check for your CPU flags with the command and make sure you see `AVX` and `AVX2`:
@ -261,7 +258,3 @@ If you are running virtualization in Promox, the VM doesn't have the flag enable
You need to change the CPU type from `kvm64` to `host` under VMs hardware tab.
`Hardware > Processors > Edit > Advanced > Type (dropdown menu) > host`
Otherwise you can:
- edit `docker-compose.yml` file and comment the whole `immich-machine-learning` service **which will disable machine learning features like object detection and image classification**
- switch to a different VM/desktop with different architecture.