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@@ -51,7 +51,7 @@ Loading ~4000 images/videos
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**!! NOT READY FOR PRODUCTION! DO NOT USE TO STORE YOUR ASSETS !!**
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-This project is under heavy development, there will be continous functions, features and api changes.
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+This project is under heavy development, there will be continuous functions, features and api changes.
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# Features
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@@ -72,15 +72,15 @@ This project is under heavy development, there will be continous functions, feat
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- Show curated objects on the search page
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- Shared album with users on the same server
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- Selective backup - albums can be included and excluded during the backup process.
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-- Web interface is available for administrative tasks (create new users) and view assets on the server - additional features are coming.
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+- Web interface is available for administrative tasks (creating new users) and viewing assets on the server - additional features are coming.
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# System Requirement
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-**OS**: Preferred Linux-based operating system (Ubuntu, Debian, MacOS...etc).
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+**OS**: Preferred unix-based operating system (Ubuntu, Debian, MacOS...etc).
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I haven't tested with `Docker for Windows` as well as `WSL` on Windows
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-*Raspberry Pi can be used but `microservices` container has to be comment out in `docker-compose` since TensorFlow has not been supported in Dockec image on arm64v7 yet.*
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+*Raspberry Pi can be used but `microservices` container has to be comment out in `docker-compose` since TensorFlow has not been supported in Docker image on arm64v7 yet.*
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**RAM**: At least 2GB, preffered 4GB.
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@@ -220,7 +220,7 @@ You can get the app on F-droid by clicking the image below.
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# Development
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-The development environment can be start from root of the project after populating the `.env` file with the command
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+The development environment can be started from the root of the project after populating the `.env` file with the command:
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```bash
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make dev # required Makefile installed on the system.
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@@ -230,13 +230,13 @@ All servers and web container are hot reload for quick feedback loop.
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# Support
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-If you like the app, find it helpful, and want to support me to offset the cost of publishing to AppStores, you can sponsor the project with [**Github Sponsore**](https://github.com/sponsors/alextran1502), or one time donation with Buy Me a coffee link below.
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+If you like the app, find it helpful, and want to support me to offset the cost of publishing to AppStores, you can sponsor the project with [**Github Sponsor**](https://github.com/sponsors/alextran1502), or a one time donation with the Buy Me a coffee link below.
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[](https://www.buymeacoffee.com/altran1502)
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-This is also a meaningful way to give me motivation and encounragment to continue working on the app.
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+This is also a meaningful way to give me motivation and encouragement to continue working on the app.
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-Cheer! 🎉
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+Cheers! 🎉
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# Known Issue
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@@ -244,13 +244,13 @@ Cheer! 🎉
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*This is a known issue on RaspberryPi 4 arm64-v7 and incorrect Promox setup*
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-TensorFlow doesn't run with older CPU architecture, it requires 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`:
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+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`:
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```bash
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more /proc/cpuinfo | grep flags
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```
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-If you are running virtualization in Promox, the VM doesn't have the flag enable.
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+If you are running virtualization in Promox, the VM doesn't have the flag enabled.
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You need to change the CPU type from `kvm64` to `host` under VMs hardware tab.
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