You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
A few days ago, I got an email from a PyImageSearch reader asking about circle detection. See below for the gist: Hey Adrian, Love your blog. I saw your post on detecting rectangles/squares in images, but I was wondering, how…
Read More of Detecting Circles in Images using OpenCV and Hough Circles
Here we are, the final step of building a real-life Pokedex in Python and OpenCV. This is where it all comes together. We’ll glue all our pieces together and put together an image search engine based on shape features. We…
Read More of Building a Pokedex in Python: Comparing Shape Descriptors with OpenCV (Step 6 of 6)
We’re getting closer to finishing up our real-life Pokedex! In my previous blog post, I showed you how to find a Game Boy screen in an image using Python and OpenCV. This post will show you how to apply warping…
Read More of Building a Pokedex in Python: OpenCV and Perspective Warping (Step 5 of 6)
Quick question. How does a Pokedex work? Well, you simply point it a Pokemon, the Pokedex examines its physical characteristics, and the Pokemon is identified instantly. In this case, our smartphone camera is our “Pokedex”. We point our smartphone at…
Read More of Building a Pokedex in Python: Finding the Game Boy Screen (Step 4 of 6)
So, how is our Pokedex going to “know” what Pokemon is in an image? How are we going to describe each Pokemon? Are we going to characterize the color of the Pokemon? The texture? Or the shape? Well, do you…
Read More of Building a Pokedex in Python: Indexing our Sprites using Shape Descriptors (Step 3 of 6)
Last Wednesday’s blog post reviewed the first step of building an image search engine: Defining Your Image Descriptor. We then examined the three aspects of an image that can be easily described: Color: Image descriptors that characterize the color of…
Read More of Building an Image Search Engine: Indexing Your Dataset (Step 2 of 4)
