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Dataset.upload_predictions(
model: Model,
predictions: List[Prediction],
update: bool,
asynchronous: bool
) -> Union[dict, AsyncJob]
After inference is complete, you'll want to pack the model outputs into the format Nucleus requires to begin computation on your model's performance.
This JSON schema is almost exactly the same as that of Annotations, but predictions also take in optional confidence and class_pdf key-value pairs.
| Key | Type | Description |
|---|
x | float (required) | The distance, in pixels, between the left border of the bounding box and the left border of the image. |
y | float (required) | The distance, in pixels, between the top border of the bounding box and the top border of the image. |
width | float (required) | The width in pixels of the annotation. |
height | float (required) | The height in pixels of the annotation. |
| Key | Type | Description |
|---|
x | float (required) | The distance, in pixels, between the left border of the bounding box and the left border of the image. |
y | float (required) | The distance, in pixels, between the top border of the bounding box and the top border of the image. |
| Key | Type | Description |
|---|
vertices | array of Point2D | Array of Point objects that represent vertices of the polygon. |
| Key | Type | Description |
|---|
x | float (required) | The x coordinate of the point. |
y | float (required) | The y coordinate of the point. |
z | float (required) | The z coordinate of the point. |
| Key | Type | Description |
|---|
position | Point3D (required) | The center of the cuboid. |
dimensions | Point3D (required) | The length, width, and height of the cuboid. |
yaw | float (required) | The rotation, in radians, about the z axis of the cuboid. |
