From 2de34f70ceaf1d817c22420ceb4a3ffcd56ce20c Mon Sep 17 00:00:00 2001 From: Alex Tran Date: Wed, 27 Jul 2022 13:09:52 -0500 Subject: [PATCH] Update readme --- README.md | 15 ++++----------- 1 file changed, 4 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index ed33e2ffa8..fedeff07f8 100644 --- a/README.md +++ b/README.md @@ -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.