HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Add docs guide terminal images (#8819)

Browse source 
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Burhan 2024-03-09 17:03:42 -05:00 • committed by GitHub
parent 2bc605f32a
commit 911d18e4f3
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
3 changed files with 148 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

1
docs/en/guides/index.md
View file

@ -39,6 +39,7 @@ Here's a compilation of in-depth guides to help you master different aspects of
- [YOLO Thread-Safe Inference](yolo-thread-safe-inference.md) 🚀 NEW: Guidelines for performing inference with YOLO models in a thread-safe manner. Learn the importance of thread safety and best practices to prevent race conditions and ensure consistent predictions.
- [Isolating Segmentation Objects](isolating-segmentation-objects.md) 🚀 NEW: Step-by-step recipe and explanation on how to extract and/or isolate objects from images using Ultralytics Segmentation.
- [Edge TPU on Raspberry Pi](coral-edge-tpu-on-raspberry-pi.md): [Google Edge TPU](https://coral.ai/products/accelerator) accelerates YOLO inference on [Raspberry Pi](https://www.raspberrypi.com/).
- [View Inference Images in a Terminal](view-results-in-terminal.md): Use VSCode's integrated terminal to view inference results when using Remote Tunnel or SSH sessions.
## Real-World Projects