OpenCV topics
12 short topics in Data Science and Machine Learning. Each one is a single focused exercise with a clear piece of evidence at the end.
12 topics, one exercise each.
Work through them in order, or jump to the one you need.
These are draft topic outlines (draft; instructor review pending). Full lessons follow after review; ask Ajay if you need a topic sooner.
- 01
Input text or image representation
Investigate input text or image representation using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 02
Preprocessing pipelines
Investigate preprocessing pipelines using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 03
Feature or token extraction
Investigate feature or token extraction using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 04
Model or algorithm selection
Investigate model or algorithm selection using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 05
Batch and streaming processing
Investigate batch and streaming processing using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 06
Task-specific output interpretation
Investigate task-specific output interpretation using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 07
Evaluation dataset design
Investigate evaluation dataset design using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 08
Quality and error analysis
Investigate quality and error analysis using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 09
Pipeline configuration
Investigate pipeline configuration using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 10
Application integration
Investigate application integration using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 11
Resource and latency measurement
Investigate resource and latency measurement using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course → - 12
Model or pipeline reproducibility
Investigate model or pipeline reproducibility using a repeatable OpenCV experiment; compare results with a baseline and record limitations. Keep the exercise bounded and record the behavior supported by the chosen version.
Open micro-course →
Learn the same ideas beyond OpenCV.
These courses share topics with this one, so you can compare how each language or tool handles the same concept.
More in Data science and machine learning libraries.
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