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While Matlab still probably comes ahead in image processing, surely in computer vision Python is on top? You mentioned academic research, isn't the majority of
by oliwaw 10y ago
While Matlab still probably comes ahead in image processing, surely in computer vision Python is on top? You mentioned academic research, isn't the majority of modern object recognition, segmentation, etc. done with convnets? Most popular convnet libraries are in Python.
- chestervonwinch 10y ago> isn't the majority of modern object recognition, segmentation, etc. done with convnets? Not at all. Big networks might be popular within particular groups, and they have certainly achieved impressive results on a number of tasks recently, but it's not the solution to every problem. There are a number of other approaches - just browse over the number of subsections on image segmentation on wiki, for example: https://en.wikipedia.org/wiki/Image_segmentation https://en.wikipedia.org/wiki/Image_segmentation or, perhaps more appropriately, take a look at the methods used in recent papers on image segementation: https://scholar.google.com/scholar?as_ylo=2016&q=%22image+segmentation%22&hl=en&as_sdt=0,10 https://scholar.google.com/scholar?as_ylo=2016&q=%22image+se...
- frozenport 10y ago>>done with convnets No, a majority of the object recognition work I've seen, is done with 'expert' crafted features. Machine learning can for example boost the performance of these features. Another interesting thing is that the machine learning features often require more staff, so they receive a disproportional emphasis.