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💭
It's all about colors.
Zhuangfang Yi 依庄防
Geoyi
💭
It's all about colors.
Senior Machine Learning Engineer at Regrow Ag.
不会写程序的画家不是一个好厨师~
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Export a checkpointed object_detection model for serving with TensorFlow Serving
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Setting up your python development environment (with pyenv, virtualenv, and virtualenvwrapper)
Overview of Python Virtual Environments
This guide is targetted at intermediate or expert users who want low-level control over their Python environments.
When you're working on multiple coding projects, you might want a couple different version of Python and/or modules installed. This helps keep each workflow in its own sandbox instead of trying to juggle multiple projects (each with different dependencies) on your system's version of Python. The guide here covers one way to handle multiple Python versions and Python environments on your own (i.e., without a package manager like conda). See the Using the workflow section to view the end result.
h/t @sharkinsspatial for linking me to the perfect cartoon
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I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.
I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real