Sam1 is giving better results in comparision to Sam2

So I have had used sam1 and sam2 for image segmentation and compared their results.
The image segmentation done by sam1 is much better than sam2.

Result of sam1:

```
print(len(masks))
```
Output:
```
16
```

Result of sam2:

```
print(len(masks))
```
Output:
```
1

```


Please can anyone tell me why there is so much difference in the results from both the models. Also suggest me any possible points that I must take into consideration in order to improve the performance of my sam2 model.