Uploaded September 2019 | Updated September 2026, 2 weeks ago

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In our very first office hours session we discuss:

- (11:40) Why are you offering office hours?
- What is the goal of providing office hours?
- (12:15) My advice to PhD and MSc students when finding a research topic
- How to find a good advisor
- How to find an advisor whose research interests align with your own
- How to successfully get through graduate school
- (21:30) Array slicing and cropping ROIs in images
- How to manually find (x, y)-coordinates for a given object
- Accessing individual pixel values
- NumPy array slicing syntax
- (29:30) Array slicing and cropping ROIs in video
- Quick hack to export single frames for manual inspection
- (35:45) Image hashing and face recognition/verification
- Is image hashing the correct algorithm to use?
- What might better alternatives be?
- (39:55) Building a product search engine
- How might we build an image search engine for images of shoes?
- What types of algorithms should we use?
- And how can these algorithms be made searchable?
- Is data augmentation appropriate for CBIR?
- Is data augmentation a good idea when building an image search engine?

For more information on my live Office Hours, refer to this page on the PyImageSearch blog:

pyimagesearch.com/office-hours