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Commitfe3b9f3

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Add missing text aboutopenCV functions (empa-scientific-it#326)
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‎31_image_classification.ipynb‎

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"These methods can also simulate real-world variability, helping models generalize better.\n",
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"\n",
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"In this notebook, we explore three categories of image transformations: **geometric transformations**, **image filtering**, and **photometric transformations**.\n",
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"The following cells contain a series of exercicies designed to help you explore the OpenCV-Python library.\n",
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"If you are unfamiliar with a particular method, refer to the [Image Processing in OpenCV](https://docs.opencv.org/4.x/d2/d96/tutorial_py_table_of_contents_imgproc.html) documentation."
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"The following cells contain a series of exercicies designed to help you explore the OpenCV-Python library.\n",
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"\n",
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"If you are unfamiliar with a particular method, refer to the [Image Processing in OpenCV](https://docs.opencv.org/4.x/d2/d96/tutorial_py_table_of_contents_imgproc.html) documentation.\n",
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"There you can find the description of the functions needed for [Geometric transformations](https://docs.opencv.org/4.x/da/d6e/tutorial_py_geometric_transformations.html) and [image filtering](https://docs.opencv.org/4.x/d4/d13/tutorial_py_filtering.html).\n",
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"Regarding photometric transformations, openCV documentation does not have a specific page for that.\n",
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"To adjust brightness and contrast, you can read [Changing the contrast and brightness of an image!](https://docs.opencv.org/4.x/d3/dc1/tutorial_basic_linear_transform.html).\n",
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"To adjust saturation, first convert the image to the HSV color space using [`cv2.cvtColor`](https://docs.opencv.org/4.x/d8/d01/group__imgproc__color__conversions.html#gaf86c09fe702ed037c03c2bc603ceab14).\n",
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"Then, split the image into Hue, Saturation, and Value channels with [`cv2.split`](https://docs.opencv.org/4.x/df/df2/group__core__hal__interface__split.html).\n",
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"Modify the Saturation channel as needed, merge the channels back together using [`cv2.merge`](https://docs.opencv.org/4.x/df/d2e/group__core__hal__interface__merge.html), and finally convert the image back to the RGB color space."
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