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Merge remote-tracking branch 'origin/example/count_people_in_zone' into example/count_people_in_zone

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SkalskiP 2023-12-13 14:59:31 +01:00
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12
examples/count_people_in_zone/README.md
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@ -35,17 +35,17 @@ video or display it live on the screen.
## 🛠️ script arguments
- `--zone_configuration_path`: Specifies the path to the JSON file containing zone
configurations. This file defines the polygonal areas in the video where objects will
- `--zone_configuration_path`: Specifies the path to the JSON file containing zone
configurations. This file defines the polygonal areas in the video where objects will
be counted.
- `--source_weights_path` (optional): The path to the YOLO model's weights file.
- `--source_weights_path` (optional): The path to the YOLO model's weights file.
Defaults to `"yolov8x.pt"` if not specified.
- `--source_video_path`: The path to the source video file that will be analyzed.
- `--target_video_path` (optional): The path to save the output video with annotations.
- `--target_video_path` (optional): The path to save the output video with annotations.
If not provided, the processed video will be displayed in real-time.
- `--confidence_threshold` (optional): Sets the confidence threshold for the YOLO model
- `--confidence_threshold` (optional): Sets the confidence threshold for the YOLO model
to filter detections. Default is `0.3`.
- `--iou_threshold` (optional): Specifies the IOU (Intersection Over Union) threshold
- `--iou_threshold` (optional): Specifies the IOU (Intersection Over Union) threshold
for the model. Default is `0.7`.
## ⚙️ run example

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examples/tracking/README.md
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@ -27,18 +27,18 @@ detection and Supervision for tracking and annotation.
## 🛠️ script arguments
- `--source_weights_path`: Required. Specifies the path to the YOLO model's weights
file, which is essential for the object detection process. This file contains the data
- `--source_weights_path`: Required. Specifies the path to the YOLO model's weights
file, which is essential for the object detection process. This file contains the data
that the model uses to identify objects in the video.
- `--source_video_path`: Required. The path to the source video file to be processed.
- `--source_video_path`: Required. The path to the source video file to be processed.
This is the video on which object detection and annotation will be performed.
- `--target_video_path`: Required. The path where the processed video, with annotations
added, will be saved. This is your output video file.
- `--confidence_threshold` (optional): Sets the confidence level at which the model
identifies objects in the video. Default is `0.3`. A higher threshold makes the model
- `--confidence_threshold` (optional): Sets the confidence level at which the model
identifies objects in the video. Default is `0.3`. A higher threshold makes the model
more selective, while a lower threshold makes it more inclusive in identifying objects.
- `--iou_threshold` (optional): Specifies the IOU (Intersection Over Union) threshold
for the model, defaulting to `0.7`. This parameter helps in differentiating between
- `--iou_threshold` (optional): Specifies the IOU (Intersection Over Union) threshold
for the model, defaulting to `0.7`. This parameter helps in differentiating between
distinct objects, especially in crowded scenes.
## ⚙️ run

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examples/traffic_analysis/README.md
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@ -33,21 +33,21 @@ https://github.com/roboflow/supervision/assets/26109316/c9436828-9fbf-4c25-ae8c-
```bash
./setup.sh
```
## 🛠️ script arguments
- `--source_weights_path`: Required. Specifies the path to the weights file for the
- `--source_weights_path`: Required. Specifies the path to the weights file for the
YOLO model. This file contains the trained model data necessary for object detection.
- `--source_video_path`: Required. The path to the source video file that will be
- `--source_video_path`: Required. The path to the source video file that will be
analyzed. This is the input video on which traffic flow analysis will be performed.
- `--target_video_path` (optional): The path to save the output video with annotations.
If not specified, the processed video will be displayed in real-time without being
If not specified, the processed video will be displayed in real-time without being
saved.
- `--confidence_threshold` (optional): Sets the confidence threshold for the YOLO model
to filter detections. Default is `0.3`. This determines how confident the model should
to filter detections. Default is `0.3`. This determines how confident the model should
be to recognize an object in the video.
- `--iou_threshold` (optional): Specifies the IOU (Intersection Over Union) threshold
for the model. Default is 0.7. This value is used to manage object detection accuracy,
- `--iou_threshold` (optional): Specifies the IOU (Intersection Over Union) threshold
for the model. Default is 0.7. This value is used to manage object detection accuracy,
particularly in distinguishing between different objects.
## ⚙️ run