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The bundle contains the Jupiter notebooks corresponding to the pages of the well known Open-Python Tutorials https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html where we have taken care of providing the actual images used in the examples in data folder, and corrected minor problems that appear when trying to run the tutorial in a Python 3 environment. The result is a collection of notebooks that may be used for teaching purposes in a smooth flow. Each notebook has the URL of the corresponding tutorial page, so that it is possible to seamlessly navigate both notebook and pages to read background information and explanations. First version contains close to 70% of the tutorial pages, and will be updated soon to the full extent of the tutorial, and maybe more... I am actually using these notebooks in conventional coursework. The work has been also done in the framework of CybSPEED project granted by the H2020 MSCA-RISE 2017 call with number 777720.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 18 |

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