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This is an UNSTABLE release. * jfjoch_broker: Report changes in the image buffer, so viewer doesn't reload constantly * jfjoch_viewer: Improve performance of loading images * jfjoch_viewer: Auto-throttle image loading in HTTP-sync / movie modes * jfjoch_viewer: Auto-foreground calculated with histogram * jfjoch_viewer: Fix rare segmentation fault Reviewed-on: #28 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch> Co-committed-by: Filip Leonarski <filip.leonarski@psi.ch>
1.7 KiB
1.7 KiB
ImageBufferStatus
Properties
| Name | Type | Description | Notes |
|---|---|---|---|
| min_image_number | int | Smallest image number available in the buffer | |
| max_image_number | int | Largest image number available in the buffer | |
| image_numbers | List[int] | Image numbers currently present in the buffer. | |
| total_slots | int | Number of slots in the image buffer. This number, compared to number of images in data collection and frame rate will determine "retention" rate of the image buffer. | |
| available_slots | int | Slots available for the data collection | |
| current_counter | int | Counter of changes in the image buffer - either new start message or new image added. For optimization one can only load new images/datasets from the HTTP if this value changes. Counter is optional as it was not implemented in older versions to avoid breaking change | [optional] |
Example
from jfjoch_client.models.image_buffer_status import ImageBufferStatus
# TODO update the JSON string below
json = "{}"
# create an instance of ImageBufferStatus from a JSON string
image_buffer_status_instance = ImageBufferStatus.from_json(json)
# print the JSON string representation of the object
print(ImageBufferStatus.to_json())
# convert the object into a dict
image_buffer_status_dict = image_buffer_status_instance.to_dict()
# create an instance of ImageBufferStatus from a dict
image_buffer_status_from_dict = ImageBufferStatus.from_dict(image_buffer_status_dict)