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

ultralytics 8.0.193 add Raspberry Pi guide to Docs (#5230)

Browse source 
Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: DaanKwF <108017202+DaanKwF@users.noreply.github.com>
This commit is contained in:
Glenn Jocher 2023-10-04 22:36:18 +02:00 • committed by GitHub
parent 9b1f35cbdc
commit 3e3980b2bc
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
14 changed files with 288 additions and 34 deletions
Download patch file Download diff file Expand all files Collapse all files

14
docs/modes/predict.md
View file

@ -25,10 +25,10 @@ In the world of machine learning and computer vision, the process of making sens
## Real-world Applications
| Manufacturing | Sports | Safety |
|:-----------------------------------:|:-----------------------:|:-----------:|
| ![Vehicle Spare Parts Detection](https://github.com/RizwanMunawar/ultralytics/assets/62513924/a0f802a8-0776-44cf-8f17-93974a4a28a1) | ![Football Player Detection](https://github.com/RizwanMunawar/ultralytics/assets/62513924/7d320e1f-fc57-4d7f-a691-78ee579c3442)| ![People Fall Detection](https://github.com/RizwanMunawar/ultralytics/assets/62513924/86437c4a-3227-4eee-90ef-9efb697bdb43) |
| Vehicle Spare Parts Detection | Football Player Detection | People Fall Detection |
| Manufacturing | Sports | Safety |
|:-----------------------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------:|
| ![Vehicle Spare Parts Detection](https://github.com/RizwanMunawar/ultralytics/assets/62513924/a0f802a8-0776-44cf-8f17-93974a4a28a1) | ![Football Player Detection](https://github.com/RizwanMunawar/ultralytics/assets/62513924/7d320e1f-fc57-4d7f-a691-78ee579c3442) | ![People Fall Detection](https://github.com/RizwanMunawar/ultralytics/assets/62513924/86437c4a-3227-4eee-90ef-9efb697bdb43) |
| Vehicle Spare Parts Detection | Football Player Detection | People Fall Detection |
## Why Use Ultralytics YOLO for Inference?
@ -110,7 +110,7 @@ YOLOv8 can process different types of input sources for inference, as shown in t
| directory ✅ | `'path/'` | `str` or `Path` | Path to a directory containing images or videos. |
| glob ✅ | `'path/*.jpg'` | `str` | Glob pattern to match multiple files. Use the `*` character as a wildcard. |
| YouTube ✅ | `'https://youtu.be/LNwODJXcvt4'` | `str` | URL to a YouTube video. |
| stream ✅ | `'rtsp://example.com/media.mp4'` | `str` | URL for streaming protocols such as RTSP, RTMP, or an IP address. |
| stream ✅ | `'rtsp://example.com/media.mp4'` | `str` | URL for streaming protocols such as RTSP, RTMP, TCP, or an IP address. |
| multi-stream ✅ | `'list.streams'` | `str` or `Path` | `*.streams` text file with one stream URL per row, i.e. 8 streams will run at batch-size 8. |
Below are code examples for using each source type:
@ -306,7 +306,7 @@ Below are code examples for using each source type:
```
=== "Streams"
Run inference on remote streaming sources using RTSP, RTMP, and IP address protocols. If multiple streams are provided in a `*.streams` text file then batched inference will run, i.e. 8 streams will run at batch-size 8, otherwise single streams will run at batch-size 1.
Run inference on remote streaming sources using RTSP, RTMP, TCP and IP address protocols. If multiple streams are provided in a `*.streams` text file then batched inference will run, i.e. 8 streams will run at batch-size 8, otherwise single streams will run at batch-size 1.
```python
from ultralytics import YOLO
@ -314,7 +314,7 @@ Below are code examples for using each source type:
model = YOLO('yolov8n.pt')
# Single stream with batch-size 1 inference
source = 'rtsp://example.com/media.mp4' # RTSP, RTMP or IP streaming address
source = 'rtsp://example.com/media.mp4' # RTSP, RTMP, TCP or IP streaming address
# Multiple streams with batched inference (i.e. batch-size 8 for 8 streams)
source = 'path/to/list.streams' # *.streams text file with one streaming address per row