pathml
pytorch-ssim
| pathml | pytorch-ssim | |
|---|---|---|
| 2 | 1 | |
| 364 | 1,825 | |
| 3.0% | - | |
| 8.0 | 0.0 | |
| about 1 month ago | 3 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pathml
- Hilo Semanal de Consultas IT - Asesoría Técnica, Desarrollo Profesional y Aprendizaje
-
Dask – a flexible library for parallel computing in Python
We have been using dask to support our computational pathology workflows [1], where the images are so big that they cannot be loaded in memory, let alone analyzed (standard pathology whole slide images are ~1GB; some microscopy techniques generate images >1TB). We divide each image into a bunch of smaller tiles and process each tile independently. The dask.distributed scheduler lets us scale up by distributing the tile processing across a cluster.
Benefits of dask.distributed: easy to get up and running, and has support for spinning up clusters on lots of different computing platforms (local machines, HPC cluster, k8s, etc.)
One difficulty is optimizing performance - there are so many configuration details (job size, number of workers, worker resources, etc. etc.) that it's been hard to know what is best.
[1] https://github.com/Dana-Farber-AIOS/pathml
pytorch-ssim
-
Pytorch SSIM and PSNR metrics?
I've used this before for SSIM it worked pretty well, just remember it's a similarity measure when you're calculating your loss.
What are some alternatives?
mpire - A Python package for easy multiprocessing, but faster than multiprocessing
facetorch - Python library for analysing faces using PyTorch
slideflow - Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
ISP-Guide - Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
Keras - Deep Learning for humans
ShinyHunter - A minimal Pokémon shiny hunter app built with Python for the GB Operator.
cudf - cuDF - GPU DataFrame Library
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
legate.pandas - An Aspiring Drop-In Replacement for Pandas at Scale
GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
Kornia - Geometric Computer Vision Library for Spatial AI