# RugnuxLiveStills

Serial frames converted by the FPGA and analysed on the GPU: the pre-pass on the first images (the beam centre, distance and mask the whole collection is analysed with), and the analysis since. 

## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**prepass** | **str** | Holding the first images, running on them, or done (Failed - the stated geometry and mask are used) | 
**images_held** | **int** | Images held for the pre-pass | 
**images_needed** | **int** | Images the pre-pass runs on | 
**prepass_s** | **float** | How long the pre-pass took | [optional] 
**file_beam_x_pxl** | **float** |  | 
**file_beam_y_pxl** | **float** |  | 
**file_distance_mm** | **float** |  | 
**beam_x_pxl** | **float** | Beam centre the pre-pass decided (where the beam lands) | [optional] 
**beam_y_pxl** | **float** |  | [optional] 
**distance_mm** | **float** | Detector distance the pre-pass decided | [optional] 
**shadow_pixels** | **int** | Pixels masked as the beam-stop shadow | [optional] 
**bad_pixels** | **int** | Pixels masked as defective (hot, dead, error value) | [optional] 
**images_analysed** | **int** |  | 
**images_indexed** | **int** |  | 
**analysis_rate_hz** | **float** | Images analysed per second since the pre-pass | [optional] 

## Example

```python
from jfjoch_client.models.rugnux_live_stills import RugnuxLiveStills

# TODO update the JSON string below
json = "{}"
# create an instance of RugnuxLiveStills from a JSON string
rugnux_live_stills_instance = RugnuxLiveStills.from_json(json)
# print the JSON string representation of the object
print(RugnuxLiveStills.to_json())

# convert the object into a dict
rugnux_live_stills_dict = rugnux_live_stills_instance.to_dict()
# create an instance of RugnuxLiveStills from a dict
rugnux_live_stills_from_dict = RugnuxLiveStills.from_dict(rugnux_live_stills_dict)
```
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