zamba
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A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos
While it is not officially supported for maintenance reasons, it is now possible to run `zamba` on a windows machine. Add the small changes that are necessary and documentation to...
This step is super slow ``` Checking all 245,944 filepaths exist. Can take up to a minute for every couple thousand files. ``` Looking it utilization while it's running, `goofys`...
The current implementation has an extra level of nesting that doesn't seem necessary. Also, it stores `cache_dir` and `cleanup_cache` as attributes, but these options are also provided later in the...
This page: https://zamba.drivendata.org/docs/stable/train-tutorial/ Contains some misleading/confusing information about the options, and some copy-pasted text that's actually about prediction.
Currently, if the user does not define splits, we generate random splits and check them. But if the use provides the splits, we don't do any checking. If the user-provided...
Workflow failed: [tests #410](https://github.com/drivendataorg/zamba/actions/runs/2883514629)
When this issue is resolved: https://github.com/mkdocstrings/mkdocstrings/issues/463 We should be able to undo the changes in this PR: https://github.com/drivendataorg/zamba/pull/207
Currently `load_video_frames` can take a `VideoLoaderConfig` object as a parameter or, if it's missing, it gathers the kwargs and makes a `VideoLoaderConfig`. This permissiveness complicates the implementation if `npy_cache` and...
### Not ready to merge into master The currently functionality is basic and geared towards what is needed to run a full pipeline based on the megadetector output. Before adding...
If a user just provides a split column, they'll get the default split proportions. This leads to the message ``` Labels contains split column yet split_proportions are also provided. Split...