upgrade structures and migrate to nextra v4

content/CSE559A/CSE559A_L1.md

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+# CSE559A Lecture 1
+
+## Introducing the syllabus
+
+See the syllabus on Canvas.
+
+## Motivational introduction for computer vision
+
+Computer vision is the study of manipulating images.
+
+Automatic understanding of images and videos
+
+1. vision for measurement (measurement, segmentation)
+2. vision for perception, interpretation (labeling)
+3. search and organization (retrieval, image or video archives)
+
+### What is image
+
+A 2d array of numbers.
+
+### Vision is hard
+
+connection to graphics.
+
+computer vision need to generate the model from the image.
+
+#### Are A and B the same color?
+
+It depends on the context what you mean by "the same".
+
+todo
+
+#### Chair detector example.
+
+double for loops.
+
+#### Our visual system is not perfect.
+
+Some optical illusion images.
+
+todo, embed images here.
+
+### Ridiculously brief history of computer vision
+
+1960s: interpretation of synthetic worlds
+1970s: some progress on interpreting selected images
+1980s: ANNs come and go; shift toward geometry and increased mathematical rigor
+1990s: face recognition; statistical analysis in vogue
+2000s: becoming useful; significant use of machine learning; large annotated datasets available; video processing starts.
+2010s: Deep learning with ConvNets
+2020s: String synthesis; continued improvement across tasks, vision-language models.
+
+## How computer vision is used now
+
+### OCR, Optical Character Recognition
+
+Technology to convert scanned docs to text.
+
+