Thoughtful Nights

再次感觉到很多时候，实践中遇到的问题，合适地抽象出来之后，很有可能只是某个很经典问题的特例。新的问题并不多。

I recently found out a solution to get the accompaniment to my phone, so that I can play along with it. There are some quality-wise compromises but overall it is good enough for me.

This demo shows how to run a pre-trained neural networks in web-browser. The user would first download the pre-trained style transfer model to local by opening up the webpage. Then everything will get processed locally without accessing any remote resource. The user can then open-up a picture from their hard drive and click "run" to

很有趣的一本书，以任天堂的发家扩张为主线，讲到了很多游戏和游戏公司的往事。可能是因为历史本身比较精彩，直接讲出来就已经是很吸引人的故事了。

I ran into this GPU memory leak issue when building a PyTorch training pipeline. After spending quite some time, I finally figured out this minimal reproducible example. Kicking off the training, it shows constantly increasing allocated GPU memory. This “AverageMeter” has been used in many popular repositories (e.g., https://github.com/facebookresearch/moco). It’s by-design tracking the average of

我不懂网球，读这本书之前我对这个人一无所知。

...一分为二就是一个常见的误区，非黑即白通常是片面的论断、事物处在的阶段不会是只有低和高，一定有中间的过渡状态。而事实上处于中间状态的可能是大多数。这里作者以发展中国家和发达国家举例，虽然这个概念大家经常提，但是从各个维度看各个国家的指标，其实大多数国家是处于两者之间的。作者提到可以尝试把两段改成四段，不仅限于这个概念，常常会让我们注意到大多数所处的位置。

部署项目的时候偶尔会遇到这类需求，不能使用OpenCV之类的库来读写图片，比如需要部署到嵌入式环境之类的。网上找了一阵，发现对于jpeg的读写，这两个库很方便。