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---
license: mit
---
To model the output JSON structure for the given code, we need to consider the structure of the `ImageEncodingResult` dataclass and how it is serialized into a dictionary. The `ImageEncodingResult` dataclass contains two fields: `image_encoded` and `image_encoded_average`. When the results are returned, they are converted into a list of dictionaries, where each dictionary represents the serialized form of an `ImageEncodingResult` object.
Here is the expected JSON structure for the output:
```json
{
"results": [
{
"image_encoded": [
[float, float, ...], // List of lists of floats representing the full encoded embeddings
[float, float, ...],
...
],
"image_encoded_average": [float, float, ...] // List of floats representing the average of the embeddings
},
{
"image_encoded": [
[float, float, ...],
[float, float, ...],
...
],
"image_encoded_average": [float, float, ...]
},
...
]
}
```
### Explanation:
- **`results`**: This is a list where each element corresponds to the encoding result of an image.
- **`image_encoded`**: A list of lists of floats. Each inner list represents the full encoded embeddings for a specific part of the image (e.g., patches or regions).
- **`image_encoded_average`**: A list of floats representing the average of the embeddings across all parts of the image.
### Example Output:
Here is an example of what the output might look like for two images:
```json
{
"results": [
{
"image_encoded": [
[0.12, 0.34, 0.56, ...],
[0.23, 0.45, 0.67, ...],
...
],
"image_encoded_average": [0.18, 0.39, 0.61, ...]
},
{
"image_encoded": [
[0.45, 0.67, 0.89, ...],
[0.56, 0.78, 0.90, ...],
...
],
"image_encoded_average": [0.50, 0.72, 0.89, ...]
}
]
}
```
### Error Handling:
If there is an error during processing (e.g., invalid image data), the output will instead look like this:
```json
{
"error": "Invalid image data: <error_message>"
}
```
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