[Parsing] Image identification failed

![](img_p2_1.png)

#### (a) detection boxes

![](img_p2_2.png)

#### (b) tracklets by associating high score detection boxes

![](img_p2_3.png)

#### (c) tracklets by associating every detection box

Figure 2. Examples of our method which associates every detection box. (a) shows all the detection boxes with their scores. (b) shows the tracklets obtained by previous methods which associates detection boxes whose scores are higher than a threshold, i.e. 0.5. The same box color represents the same identity. (c) shows the tracklets obtained by our method. The dashed boxes represent the predicted box of the previous tracklets using Kalman Filter. The two low score detection boxes are correctly matched to the previous tracklets based on the large IoU.

| Frame t1 | Frame t2 | Frame t3 |
|---|---|---|
| 0.9 | 0.9 | 0.9 |

**0.1 0.1 0.1 0.8 0.9 0.4 0.8 0.1 0.8**

#### (a) detection boxes

#### (b) tracklets by associating high score detection boxes

**0.4 0.1**

#### (c) tracklets by associating every detection box

Figure 2. Examples of our method which associates every detection box. (a) shows all the detection boxes with their scores. (b) shows the tracklets obtained by previous methods which associates detection boxes whose scores are higher than a threshold, i.e. 0.5. The same box color represents the same identity. (c) shows the tracklets obtained by our method. The dashed boxes represent the predicted box of the previous tracklets using Kalman Filter. The two low score detection boxes are correctly matched to the previous tracklets based on the large IoU.

const base = "https://esm.sh/@llamaindex/[email protected]";
const liteparse = await import(base);

await liteparse.default(`${base}/liteparse_wasm_bg.wasm`);

parser = new liteparse.LiteParse({
  ocrEnabled: false,
  outputFormat: "markdown",
});

const rawResult = await parser.parse(bytes);
console.log(rawResult);