ImageTracking.jl
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Adds boosting tracker
Codecov Report
Merging #5 into master will decrease coverage by
57.16%
. The diff coverage is0%
.
@@ Coverage Diff @@
## master #5 +/- ##
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- Coverage 93.21% 36.04% -57.17%
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Files 5 12 +7
Lines 280 724 +444
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Hits 261 261
- Misses 19 463 +444
Impacted Files | Coverage Δ | |
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src/core.jl | 95.45% <0%> (-4.55%) |
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src/tracker_state_estimator.jl | 0% <0%> (ø) |
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src/boosting_tracker/online_boosting.jl | 0% <0%> (ø) |
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src/tracker_model.jl | 0% <0%> (ø) |
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src/tracker_features.jl | 0% <0%> (ø) |
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src/tracker_sampler.jl | 0% <0%> (ø) |
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src/tracker.jl | 0% <0%> (ø) |
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src/boosting_tracker/boosting_tracker.jl | 0% <0%> (ø) |
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... and 5 more |
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As per our discussion on Slack, it would be worthwhile to add a test/demo to verify that the tracker is actually working correctly. You could create some toy tracking data by taking one of the images on TestImages
and creating a few frames where you draw a red square on top of the test images. The target would be the red square. You can manually initialize the tracker over the red square in the first frame. Since the red square is very discriminative, it should be easy for the classifier to track and you should have almost perfect tracking results.