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No free internal image memory is available to the driver. The image was discarded.
Possible cause/remedy:
The computer takes too long to process the images in the uEye API (e.g. color conversion).
•Reduce the frame rate so that there is more time to process the filled image memory of the driver.
•Disable resource-intensive API image pre-processing functions (e.g. edge enhancement, color correction, or choose a smaller filter mask for software color conversion)
Name |
IS_CAP_STATUS_DRV_OUT_OF_BUFFERS |
Category |
|
Interface |
Integer |
Access |
Read |
Unit |
- |
Visibility |
Expert |
Values |
0 … 4294967295 Increment: 1 |
Standard |
IDS |
Availability uEye+ |
- |
Availability uEye |
|
Code example
C++
// Determine the current IS_CAP_STATUS_DRV_OUT_OF_BUFFERS
int64_t value = nodeMapDataStream->FindNode<peak::core::nodes::IntegerNode>("IS_CAP_STATUS_DRV_OUT_OF_BUFFERS")->Value();
C#
// Determine the current IS_CAP_STATUS_DRV_OUT_OF_BUFFERS
long value = nodeMapDataStream.FindNode<IDSImaging.Peak.API.Core.Nodes.IntegerNode>("IS_CAP_STATUS_DRV_OUT_OF_BUFFERS").Value();
Python
# Determine the current IS_CAP_STATUS_DRV_OUT_OF_BUFFERS (int)
value = nodeMapDataStream.FindNode("IS_CAP_STATUS_DRV_OUT_OF_BUFFERS").Value()