> For the complete documentation index, see [llms.txt](https://sharinghub.kittenbot.hk/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sharinghub.kittenbot.hk/airelated/koi2/micropython/custom.md).

# 自定義追蹤模型

## 加入KOI 2庫

```python
from future import *
from koi2 import KOI2
```

## 初始化KOI 2

```python
koi = KOI2(tx, rx)
```

初次化KOI 2連接。

參數:

tx: TX 針腳，Robotbit EDU使用P2

rx: RX 針腳，Robotbit EDU使用P12

## 選擇自定義追蹤模型模式

```
koi.setModel(3)
```

選擇自定義追蹤模型模式

## 載入自定義追蹤模型

```python
koi.initCustomModel(name, anchor)
koi.initCustomModel('/sd/ballRGB.kmodel',[1.25,1.25,1.50,1.50,1.72,1.72,1.97,1.97,2.34,2.31]) #example for color balls model
```

載入自定義追蹤模型

參數:

name: 檔案名稱

anchor: 錨點值

## 獲取自定義追蹤數據

```
koi.xywh[0]
```

返回自定義追蹤數據

參數: 

data: 數據類型

<table><thead><tr><th width="311">data</th><th>代表</th></tr></thead><tbody><tr><td>0</td><td>X 座標</td></tr><tr><td>1</td><td>Y 座標</td></tr><tr><td>2</td><td>闊度</td></tr><tr><td>3</td><td>高度</td></tr></tbody></table>

## 獲取自定義追蹤名稱

```
koi.strVal
```

返回自定義追蹤名稱

## 範例程式: 自定義追蹤模型

```
from future import *
from koi2 import KOI2



koi = KOI2('P2', 'P12')
koi.setModel(3)
sleep(15)
koi.initCustomModel(10616832,[1.25,1.25,1.50,1.50,1.72,1.72,1.97,1.97,2.34,2.31])
koi.direction(2)
koi.mirror(0)
screen.sync = 0
while True:
  koi.read_from_uart()
  screen.fill((0, 0, 0))
  screen.text(koi.numberVal,5,10,2,(255, 255, 255))
  screen.text(koi.xywh[0],5,30,2,(255, 255, 255))
  screen.text(koi.xywh[1],5,50,2,(255, 255, 255))
  screen.text(koi.xywh[2],5,70,2,(255, 255, 255))
  screen.text(koi.xywh[3],5,90,2,(255, 255, 255))
  screen.refresh()

```

{% file src="/files/maJezay3HFTaXj3CYtSq" %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://sharinghub.kittenbot.hk/airelated/koi2/micropython/custom.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.