Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.
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Updated
May 24, 2024 - Python
Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.
Image pyramid generation for grayscale and segmentation image resize.
Randomly subsample sequencing reads
SYLENS: Sampling Yielding LEss Noticeable Samples
C++ implementation of the Largest Triangle Three Buckets (LTTB) downsampling algorithm
Downsample plugin for Flot charts.
Create a model to predict if a customer will leave the bank.
Collection of several downsampling methods for time series visualisation purposes.
Better image downscale with canvas.
Native bindings to libsamplerate
Helpful solution to reduce image size.
Helpful solution to reduce image size.
Program to perform simple image manipulation like smoothing, rotating, downsampling, detecting edges (x derivative, y derivative and magnitude of gradients), and plotting the gradient vectors.
Code and performance tests to demonstrate the COUNTLESS algorithm. https://medium.com/@willsilversmith/countless-high-performance-2x-downsampling-of-labeled-images-using-numpy-e70ad3275589
tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.
Utilities for transforming InfluxDB time series data
prometheus support auto-downsample with multiple levels for longterm data persistence, forked form prometheus v1.5.2.
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