Assuming that P4Merge was installed in the default location on Windows, i.e 'C:\Program Files\Perforce\p4merge.exe' then the following commands will configure p4merge as the default tool for both merge and diffs in Git
Set up commands
git config --global diff.tool p4merge
git config --global difftool.p4merge.path '/Applications/p4merge.app/Contents/MacOS/p4merge'
git config --global merge.tool p4merge
git config --global mergetool.p4merge.path '/Applications/p4merge.app/Contents/MacOS/p4merge'
| - Raspi4 + Touch Screen | |
| - Raspi Zero W | |
| - M5Stack SR3 Cam | |
| - M5Stack Cam S3 | |
| - M5Stamp ESP32S3 | |
| - M5Stack Nano C6 | |
| - Xiao ESP32C3 | |
| - SEEED AI Cam v2 (this can run AI models from sensecraft) | |
| - SEEED XIAO MMWave daughter board 24Ghz (I couldn't get this to work right but maybe you can) |
| - [ ] Book Reader for Vision Pro | |
| - [ ] ASMR Immersive Room (for reading or work or relaxtion) | |
| - [ ] Spatial Crypto Wallet (XRP or Polygon) | |
| - [ ] VisionPro Meshtastic App | |
| - [ ] Bevy/VisionPro Starter App | |
| - [ ] BGFX/VisionPro Starter App (2D or 3D gaming) | |
| - [ ] rust wgpu VisonPro Starter App | |
| - [ ] bgfx/VisionPro Starter App | |
| - [ ] External Camera Controller App | |
| - [ ] Spatial Content Streaming on AVP |
| - [ ] IoT wearables for VisionPro | |
| - [ ] IoT digital twins for VisionPro | |
| - [ ] Raylib (RayFork) port to VisionPro, with an Arcade console | |
| - [ ] Rearview mirror VisionPro (with a camera) | |
| - [ ] "Bootstrap" widget set for VisionPro | |
| - [ ] Audio Lab for VisionPro | |
| - [ ] IoT lighting guesture controller | |
| - [ ] Gaussian Splattering for VisionPro for immersive environments | |
| # Overview | |
| There are a bunch of official docs to review in order to get Godot 4 working in the context of OpenXR + a Quest2. | |
| This gist attempts to summarize for those who struggle to collect documentation spread out across many links and entry points | |
| into this topic. | |
| ## Docs | |
| - https://docs.godotengine.org/en/stable/tutorials/xr/deploying_to_android.html | |
| - https://docs.godotengine.org/en/stable/tutorials/xr/setting_up_xr.html#doc-setting-up-xr |
| 1. Neighborhood #1 (Tunnels) by The Arcade Fire | |
| 2. Ceremony by Joy Division (even though they put it on Substance by New Order) | |
| 3. Push by The Cure | |
| 4. Rano Pano by Mogwai | |
| 5. Space Oddity by David Bowie | |
| 6. Funeral Party by The Cure | |
| 7. Landslide by Smashing Pumpkins | |
| 8. Saeglopur by Sigur Ros | |
| 9. Great Gig in the Sky by Pink Floyd | |
| 10. And She Would Darken the Memory Of Youth by The Twilight Sad |
| Same here | |
| Docker Desktop 2.2.0.5 | |
| Docker Engine 19.03.8 | |
| On Mac OSX 10.14.6 | |
| $ docker run -it --rm -p 80:80 --name whoami containous/whoami | |
| On a remote machine | |
| $ curl 192.168.25.87 | |
| Hostname: 07a90be6f0fa |
As I am an avid photographer & travelling quite a lot, I wanted to sync my Adobe Lightroom library from Macbook to my Microsoft Windows desktop at home with very little/no human intervention. It is also a good thing that both Lightroom versions (mac & windows) share a common file system/structure, this helped alot in synchronizing data from one environment to another.
This HOWTO assumes you already have an AWS account created and running with an IAM user configured.
Put together, the solution would look as such (pardon my poor diagram skills):
_
macbook pro (` ). windows desktop
| import std.stdio; | |
| import std.string; | |
| import std.file; | |
| import std.json; | |
| static const auto HK_DB = "hk_db.json"; // this is the filename | |
| // | |
| // Use a formatting string to fill in values for this config file | |
| // |