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Add sv.PercentageBarAnnotator()
for confidence level bar annotation in specified position
#720
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onuralpszr
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api:annotator
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Jan 17, 2024
Signed-off-by: Onuralp SEZER <thunderbirdtr@gmail.com>
Signed-off-by: Onuralp SEZER <thunderbirdtr@gmail.com>
Signed-off-by: Onuralp SEZER <thunderbirdtr@gmail.com>
Signed-off-by: Onuralp SEZER <thunderbirdtr@gmail.com>
onuralpszr
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Jan 22, 2024
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I did some gitignore changes and docs typo fixes as well. I also added docs for Percentage Bar I only waiting for pics to be upload so It will render properly.
cc @SkalskiP |
SkalskiP
requested changes
Jan 22, 2024
…tageBarAnnotator fix(core.py): 🐞 Treat CENTER_OF_MASS the same as CENTER in PercentageBarAnnotator refactor(core.py): Move border mapping logic to separate method in PercentageBarAnnotator Signed-off-by: Onuralp SEZER <thunderbirdtr@gmail.com>
SkalskiP
approved these changes
Jan 23, 2024
Hi @xaristeidou and @onuralpszr, I just made the final changes. We are merging! |
This was referenced Jan 24, 2024
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api:annotator
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Description
This PR Implements (Fix #695)
This annotator will draw a percentage bar with borders, based on the confidence level for each prediction.
Annotator has the following attributes:
height
width
color
border_color
position
color_lookup
Execution time of annotation process (tested on Ryzen 7 5800H):
List any dependencies that are required for this change.
No new dependencies required for this change
Please delete options that are not relevant.
How has this change been tested, please provide a testcase or example of how you tested the change?
I tested using walking people asset video, prediction providing by YOLOv8. An example is presented below using
height = 16
,width = 80
.Any specific deployment considerations
Docs