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ultralytics 8.0.183 RayTune and yolo checks fixes (#5002)

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Co-authored-by: Kapil Raj <103250862+raj-kapil@users.noreply.github.com>
Co-authored-by: Muhammad Rizwan Munawar <62513924+RizwanMunawar@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2023-09-20 16:33:43 +02:00 • committed by GitHub
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48
examples/YOLOv8-Region-Counter/readme.md
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@ -5,8 +5,8 @@
<div>
<p align="center">
<img src="https://github.com/RizwanMunawar/ultralytics/assets/62513924/978c8dd4-936d-468e-b41e-1046741ec323" width="45%"/>
<img src="https://github.com/RizwanMunawar/ultralytics/assets/62513924/069fd81b-8451-40f3-9f14-709a7ac097ca" width="45%"/>
<img src="https://github.com/RizwanMunawar/ultralytics/assets/62513924/5ab3bbd7-fd12-4849-928e-5f294d6c3fcf" width="45%"/>
<img src="https://github.com/RizwanMunawar/ultralytics/assets/62513924/e7c1aea7-474d-4d78-8d48-b50854ffe1ca" width="45%"/>
&nbsp; &nbsp; &nbsp; &nbsp;
</p>
</div>
@ -42,6 +42,9 @@ After the video begins playing, you can freely move the region anywhere within t
# If you want to save results
python yolov8_region_counter.py --source "path/to/video.mp4" --save-img --view-img
# If you want to run model on CPU
python yolov8_region_counter.py --source "path/to/video.mp4" --save-img --view-img --device cpu
# If you want to change model file
python yolov8_region_counter.py --source "path/to/video.mp4" --save-img --weights "path/to/model.pt"
@ -52,10 +55,12 @@ python yolov8_region_counter.py --source "path/to/video.mp4" --view-img
## Usage Options
- `--source`: Specifies the path to the video file you want to run inference on.
- `--device`: Specifies the device `cpu` or `0`
- `--save-img`: Flag to save the detection results as images.
- `--weights`: Specifies a different YOLOv8 model file (e.g., `yolov8n.pt`, `yolov8s.pt`, `yolov8m.pt`, `yolov8l.pt`, `yolov8x.pt`).
- `--line-thickness`: Specifies the bounding box thickness
- `--region-thickness`: Specific the region boxes thickness
- `--region-thickness`: Specifies the region boxes thickness
- `--track-thickness`: Specifies the track line thickness
## FAQ
@ -63,11 +68,40 @@ python yolov8_region_counter.py --source "path/to/video.mp4" --view-img
Region counting is a computational method utilized to ascertain the quantity of objects within a specific area in recorded video or real-time streams. This technique finds frequent application in image processing, computer vision, and pattern recognition, facilitating the analysis and segmentation of objects or features based on their spatial relationships.
**2. Why Combine Region Counting with YOLOv8?**
**2. Is Friendly Region Plotting Supported by the Region Counter?**
The Region Counter offers the capability to create regions in various formats, such as polygons and rectangles. You have the flexibility to modify region attributes, including coordinates, colors, and other details, as demonstrated in the following code:
```python
counting_regions = [
{
"name": "YOLOv8 Polygon Region",
"polygon": Polygon(
[(50, 80), (250, 20), (450, 80), (400, 350), (100, 350)]
), # Polygon with five points (Pentagon)
"counts": 0,
"dragging": False,
"region_color": (255, 42, 4), # BGR Value
"text_color": (255, 255, 255), # Region Text Color
},
{
"name": "YOLOv8 Rectangle Region",
"polygon": Polygon(
[(200, 250), (440, 250), (440, 550), (200, 550)]
), # Rectangle with four points
"counts": 0,
"dragging": False,
"region_color": (37, 255, 225), # BGR Value
"text_color": (0, 0, 0), # Region Text Color
},
]
```
**3. Why Combine Region Counting with YOLOv8?**
YOLOv8 specializes in the detection and tracking of objects in video streams. Region counting complements this by enabling object counting within designated areas, making it a valuable application of YOLOv8.
**3. How Can I Troubleshoot Issues?**
**4. How Can I Troubleshoot Issues?**
To gain more insights during inference, you can include the `--debug` flag in your command:
@ -75,10 +109,10 @@ To gain more insights during inference, you can include the `--debug` flag in yo
python yolov8_region_counter.py --source "path to video file" --debug
```
**4. Can I Employ Other YOLO Versions?**
**5. Can I Employ Other YOLO Versions?**
Certainly, you have the flexibility to specify different YOLO model weights using the `--weights` option.
**5. Where Can I Access Additional Information?**
**6. Where Can I Access Additional Information?**
For a comprehensive guide on using YOLOv8 with Object Tracking, please refer to [Multi-Object Tracking with Ultralytics YOLO](https://docs.ultralytics.com/modes/track/).