get_current_predictions
- 1 Minute to read
get_current_predictions
- 1 Minute to read
Article summary
Did you find this summary helpful?
Thank you for your feedback
This method returns the model's predictions just once at the moment it is called. It is used when the model is activated with continues_msg in True. It takes the information from the topic that are publishing.
Reference
Arguments
| Arguments | Type | Default value | Description |
|---|---|---|---|
| as_dict | bool | False | If set to true, the predictions will be sent as a dictionary; otherwise, they will be returned as a list. |
| get_timestamp | bool | False | If set to true, a tuple with the predictions and the prediction timestamp will be returned; otherwise, only the predictions will be returned. |
Return
if as_dict is True and get_timestamp is True:
| Type | Description |
|---|---|
tuple | (dict, tuple) Dictionary with prediccions and tuple with timestamp (sec, nanosec). |
if as_dict is True and get_timestamp is False:
| Type | Description |
|---|---|
dict | Dictionary with prediccions. |
if as_dict is False and get_timestamp is True:
| Type | Description |
|---|---|
tuple | (list, tuple) List with prediccions and tuple with timestamp (sec, nanosec). |
if as_dict is False and get_timestamp is False:
| Type | Description |
|---|---|
list | List with prediccions. |
Exceptions
None
See the complete list of cv exceptions.
Examples
...
self.predictor = await self.cv.enable_model(
name='predictor_name',
continues_msg=True,
source='chest',
)
...
last_predictions, timestamp = \
await self.predictor.get_current_predictions(get_timestamp=True)
...
Was this article helpful?
.png)