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satwikkottur
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satwikkottur edited this page
Dec 18, 2014
·
19 revisions
Task board for Computer Vision project!
Basic SWT Implementation
Complete code for splitting words
Arbitrary angle detection
Reading and understanding the paper
Utilities for advanced algorithm
CAMShift algorithm
Random tree training
Ground truth extraction module
Hierarchical agglomerative clustering
Color self-similarities
Contour shape
Edge shape
Component level features
Chain level features
Final evaluation metrics
Modify candidate linking
Modify component analysis
Training data
To be done
Improving OCR (
vishwa
)
Chain level training (
satwik
)
Ground truth size issue (
vishwa/satwik
)
Embed random forest classifier into the pipeline (
satwik
)
Computing the tightest bounding box for the chain
(checking left)
Quantitative evaluation vanilla (
vishwa
)
Quantitative evaluation advanced (
vishwa
)
Tuning the parameters (
vishwa/satwik
)
Poster (
vishwa/satwik
)
OCR (optional)
Look at methods that can be used from 3rd party sources
Final Wrap up
Clean up all the code files, include inline comments
Document the project explaining what each function / module does
Write up the wiki page for the whole project and wrap up everything
Wiki pages
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2
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Task board
Basic SWT Implementation
Arbitrary angle detection
Utilities for advanced algorithm
To be done
OCR (optional)
Final Wrap up
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