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

ultralytics 8.0.97 confusion matrix, windows, docs updates (#2511)

Browse source 
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: Dowon <ks2515@naver.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
This commit is contained in:
Glenn Jocher 2023-05-09 21:20:34 +02:00 • committed by GitHub
parent 6ee3a9a74b
commit d1107ca4cb
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
138 changed files with 744 additions and 351 deletions
Download patch file Download diff file Expand all files Collapse all files

8
docs/modes/predict.md
View file

@ -1,5 +1,6 @@
---
comments: true
description: Get started with YOLOv8 Predict mode and input sources. Accepts various input sources such as images, videos, and directories.
---
<img width="1024" src="https://github.com/ultralytics/assets/raw/main/yolov8/banner-integrations.png">
@ -58,10 +59,11 @@ whether each source can be used in streaming mode with `stream=True` ✅ and an
| YouTube ✅ | `'https://youtu.be/Zgi9g1ksQHc'` | `str` | |
| stream ✅ | `'rtsp://example.com/media.mp4'` | `str` | RTSP, RTMP, HTTP |
## Arguments
`model.predict` accepts multiple arguments that control the prediction operation. These arguments can be passed directly to `model.predict`:
!!! example
```
model.predict(source, save=True, imgsz=320, conf=0.5)
```
@ -220,6 +222,7 @@ masks, classification logits, etc.) found in the results object
res_plotted = res[0].plot()
cv2.imshow("result", res_plotted)
```
| Argument | Description |
|-------------------------------|----------------------------------------------------------------------------------------|
| `conf (bool)` | Whether to plot the detection confidence score. |
@ -234,7 +237,6 @@ masks, classification logits, etc.) found in the results object
| `masks (bool)` | Whether to plot the masks. |
| `probs (bool)` | Whether to plot classification probability. |
## Streaming Source `for`-loop
Here's a Python script using OpenCV (cv2) and YOLOv8 to run inference on video frames. This script assumes you have already installed the necessary packages (opencv-python and ultralytics).
@ -277,4 +279,4 @@ Here's a Python script using OpenCV (cv2) and YOLOv8 to run inference on video f
# Release the video capture object and close the display window
cap.release()
cv2.destroyAllWindows()
```
```