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What Operating System(s) are you seeing this problem on?
Windows
dlib version
19.24.99
Python version
3.9.13
Compiler
GCC 6.3.0
Expected Behavior
I expect when the up-sampling limit is 0 then DLIB would use a sliding window that is approximately same as the bounding boxes that I have marked. I can't see any way of setting the sliding window size manually and this seems to be a major problem.
How is this sliding window dimension automatically picked up?
Current Behavior
The sliding window size is significantly smaller than the bounding boxes I have marked even when the up-sampling limit is set to 0. I can't set this window manually.
As you can see, all the bounding boxes are of the same dimension. That's why I was expecting that up-sampling is not required and DLIB will just use the sliding window dimension same as the bounding boxes.
The training code is similar to that of the example provided.
Anything else?
No response
The text was updated successfully, but these errors were encountered:
1. Default Parameters: DLIB might have default parameters for sliding window sizes that are not automatically adjusted based on bounding box dimensions.
2. Configuration Issues: There might be a configuration or parameter setting that you are missing, preventing you from manually setting the sliding window size.
What Operating System(s) are you seeing this problem on?
Windows
dlib version
19.24.99
Python version
3.9.13
Compiler
GCC 6.3.0
Expected Behavior
I expect when the up-sampling limit is 0 then DLIB would use a sliding window that is approximately same as the bounding boxes that I have marked. I can't see any way of setting the sliding window size manually and this seems to be a major problem.
How is this sliding window dimension automatically picked up?
Current Behavior
The sliding window size is significantly smaller than the bounding boxes I have marked even when the up-sampling limit is set to 0. I can't set this window manually.
Steps to Reproduce
Here is the training.xml file
As you can see, all the bounding boxes are of the same dimension. That's why I was expecting that up-sampling is not required and DLIB will just use the sliding window dimension same as the bounding boxes.
The training code is similar to that of the example provided.
Anything else?
No response
The text was updated successfully, but these errors were encountered: