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ultralytics 8.3.54 New Streamlit inference Solution (#18316)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-12-24 16:26:56 +05:00 • committed by GitHub
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25
docs/en/guides/streamlit-live-inference.md
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@ -43,7 +43,9 @@ Streamlit makes it simple to build and deploy interactive web applications. Comb
=== "CLI"
```bash
yolo streamlit-predict
yolo solutions inference
yolo solutions inference model="path/to/model/file.pt"
```
=== "Python"
@ -51,7 +53,11 @@ Streamlit makes it simple to build and deploy interactive web applications. Comb
```python
from ultralytics import solutions
solutions.inference()
inf = solutions.Inference(
model="yolo11n.pt", # You can use any model that Ultralytics support, i.e. YOLO11, or custom trained model
)
inf.inference()
### Make sure to run the file using command `streamlit run <file-name.py>`
```
@ -67,8 +73,11 @@ You can optionally supply a specific model in Python:
```python
from ultralytics import solutions
# Pass a model as an argument
solutions.inference(model="path/to/model.pt")
inf = solutions.Inference(
model="yolo11n.pt", # You can use any model that Ultralytics support, i.e. YOLO11, YOLOv10
)
inf.inference()
### Make sure to run the file using command `streamlit run <file-name.py>`
```
@ -111,7 +120,11 @@ Then, you can create a basic Streamlit application to run live inference:
```python
from ultralytics import solutions
solutions.inference()
inf = solutions.Inference(
model="yolo11n.pt", # You can use any model that Ultralytics support, i.e. YOLO11, YOLOv10
)
inf.inference()
### Make sure to run the file using command `streamlit run <file-name.py>`
```
@ -119,7 +132,7 @@ Then, you can create a basic Streamlit application to run live inference:
=== "CLI"
```bash
yolo streamlit-predict
yolo solutions inference
```
For more details on the practical setup, refer to the [Streamlit Application Code section](#streamlit-application-code) of the documentation.