ultralytics 8.2.25 latest TensorFlow 2.16 support (#13176)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: lakshanthad <lakshanthad@yahoo.com>
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@ -16,14 +16,14 @@ This guide provides a comprehensive overview of three fundamental types of data
|:------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------:|
| ![Line Graph](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/eeabd90c-04fd-4e5b-aac9-c7777f892200) | ![Bar Plot](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/c1da2d6a-99ff-43a8-b5dc-ca93127917f8) | ![Pie Chart](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/9d8acce6-d9e4-4685-949d-cd4851483187) |
### Why Graphs are Important
### Why Graphs are Important
- Line graphs are ideal for tracking changes over short and long periods and for comparing changes for multiple groups over the same period.
- Bar plots, on the other hand, are suitable for comparing quantities across different categories and showing relationships between a category and its numerical value.
- Line graphs are ideal for tracking changes over short and long periods and for comparing changes for multiple groups over the same period.
- Bar plots, on the other hand, are suitable for comparing quantities across different categories and showing relationships between a category and its numerical value.
- Lastly, pie charts are effective for illustrating proportions among categories and showing parts of a whole.
!!! Analytics "Analytics Examples"
=== "Line Graph"
```python
@ -174,21 +174,21 @@ This guide provides a comprehensive overview of three fundamental types of data
Here's a table with the `Analytics` arguments:
| Name | Type | Default | Description |
|--------------|-------------------|---------------|---------------------------------------------|
| `type` | `str` | `None` | Type of data or object. |
| `im0_shape` | `tuple` | `None` | Shape of the initial image. |
| `writer` | `cv2.VideoWriter` | `None` | Object for writing video files. |
| `title` | `str` | `ultralytics` | Title for the visualization. |
| `x_label` | `str` | `x` | Label for the x-axis. |
| `y_label` | `str` | `y` | Label for the y-axis. |
| `bg_color` | `str` | `white` | Background color. |
| `fg_color` | `str` | `black` | Foreground color. |
| `line_color` | `str` | `yellow` | Color of the lines. |
| `line_width` | `int` | `2` | Width of the lines. |
| `fontsize` | `int` | `13` | Font size for text. |
| `view_img` | `bool` | `False` | Flag to display the image or video. |
| `save_img` | `bool` | `True` | Flag to save the image or video. |
| Name | Type | Default | Description |
|--------------|-------------------|---------------|-------------------------------------|
| `type` | `str` | `None` | Type of data or object. |
| `im0_shape` | `tuple` | `None` | Shape of the initial image. |
| `writer` | `cv2.VideoWriter` | `None` | Object for writing video files. |
| `title` | `str` | `ultralytics` | Title for the visualization. |
| `x_label` | `str` | `x` | Label for the x-axis. |
| `y_label` | `str` | `y` | Label for the y-axis. |
| `bg_color` | `str` | `white` | Background color. |
| `fg_color` | `str` | `black` | Foreground color. |
| `line_color` | `str` | `yellow` | Color of the lines. |
| `line_width` | `int` | `2` | Width of the lines. |
| `fontsize` | `int` | `13` | Font size for text. |
| `view_img` | `bool` | `False` | Flag to display the image or video. |
| `save_img` | `bool` | `True` | Flag to save the image or video. |
### Arguments `model.track`