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In this context, you should consider elias gamma coding (or some variant thereof) to efficiently encode your run lengths Filter or subset the start and end vectors using the condition on the run values. A reasonable first approximation for your encoding format might be
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First bit = same as the first bit of the uncompressed string (to set initial polarity) remaining bits Because the start and end vectors are the same length as the values component of the rle object, solving the related problem of identifying endpoints for runs meeting some condition is straightforward I see many great solutions here but none that feels very pythonic to my eyes
So i'm contributing with a implementation i wrote myself today for this problem
From typing import iterator, tuple from itertools import groupby def run_length_encode(data Returns run length encoded tuples for string # a memory efficient (lazy) and pythonic solution using. Convert rle to polygon segmentation asked 2 years, 8 months ago modified 1 year, 8 months ago viewed 8k times To create a coco dataset of annotated images, you need to convert binary masks into either polygons or uncompressed run length encoding representations depending on the type of object
I used azure data labelling to prepare my semantic segmentation (preview) dataset and export it from azure into my local system Now i have images in images folder and labels in json file You can draw the mask on a canvas and then export the image if you need For the actual drawing you can use two approaches
Decode rle into binary mask (2d matrix or flattened) and then paint pixels according to that mask draw mask directly from rle string on a virtual canvas and then rotate it by 90deg and flip horizontally here's the example.
In a pylab program (which could probably be a matlab program as well) i have a numpy array of numbers representing distances D[t] is the distance at time t (and the timespan of my data is len(d) t. Using `rle` function along with `dplyr` `group_by` command to mapping grouping variable asked 5 years, 1 month ago modified 5 years, 1 month ago viewed 789 times
