Chang She
Chang She
not sure why the tests are failing -- I've not touched any of the existing code
Manylinux is agnostic to how you want to manage dependencies. What I've done here is that I'm using the Pipfile.lock for each python version to build to install the dependencies...
The Pipfile.lock all have different numpy versions but looking at them it doesn't seem like they're the oldest available. Should be a minor change though to get it using the...
ok i switched to using `python -m build` which does respect the build dependencies specified in pyproject.toml.
One thing here is that you almost never label all frames in a video, so alignment will be tricky.
we could update to 3.2.x - is Tubi all on 3.2.x now? @ffcai what version of spark are you guys using?
Are we thinking about this as a performance optimization? If these are user-facing APIs, then wouldn't it be confusing for users that some Rikai udfs are available in both scala...
yeah but you have to manually calculate the scaling factor
> Oh, for that, our practice usually was that we just store bbox in the relative scale [0, 1]. So bbox value does not change no matter how Image resizes....
is this done after the sklearn integration? Or do we still need the Spark MLLib integration?