Ben Affleck 谈机器学习与视觉特效工作流中的 Python
Quoting Ben Affleck
Ben Affleck 表示自己从胶片转向数字电影时期开始对计算机产生兴趣，并会写“相当糟糕的 Python 脚本”。他提到视觉特效工作流多年来已包含机器学习，卷积神经网络作为 Transformer 的前身，可用于处理 tensor 并实现边缘检测与特征提取，从而更轻松地抠出绿幕画面并替换背景。
I've always been kind of into computers since I was young. And then when film started to move from analog film to digital, I became more interested in that aspect of it. And the visual effects workflow for many years has included machine learning.
So I can write like pretty shitty Python scripts and stuff like that because with convolutional neural networks, which were the sort of precursors to what the transformer can do, which is just much more computation simultaneously, you would do things like look at what's called a tensor, which is just the numerical translation of a visual image in numbers — like the batch number, the frame number, the red, green, and blue values of each pixel in each frame.
And a tensor, you use a convolutional neural network to identify patterns in that that would reveal what's called edge detection or feature extraction, which is just identifying patterns enough to know like this is where the window ledge is, so we can more easily take the green screen image out and replace it with something.
— Ben Affleck, Pythonista
Tags: machine-learning, python
来源：Simon Willison 博客 · simonwillison.net