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Dmitri Soshnikov 2022-05-17 11:55:47 +03:00
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lessons/4-ComputerVision/06-IntroCV/README.md
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@ -62,6 +62,7 @@ In our [OpenCV Notebook](OpenCV.ipynb), we give some examples of when computer v
* **Pre-processing a photograph of Braille book**. We focus on how we can use thresholding, feature detection, perspective transformation and numpy manipulations to separate individual Braille symbols for further classification by a neural network.
![Braille Image](data/braille.jpeg) | ![Braille Image Pre-processed](images/braille-result.png) | ![Braille Symbols](images/braille-symbols.png)
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> *Image from [OpenCV.ipynb](OpenCV.ipynb)*
@ -81,7 +82,7 @@ In our [OpenCV Notebook](OpenCV.ipynb), we give some examples of when computer v
Read more on optical flow [in this great tutorial](https://learnopencv.com/optical-flow-in-opencv/).
## ✍️ Exercises: try OpenCV in Action
## ✍️ Exercises: [try OpenCV in Action](OpenCV.ipynb)
Let's do some experiments with OpenCV by exploring [OpenCV Notebook](OpenCV.ipynb)