Repository Index

Python Imaging Library (fork)

• c
• cross-platform
• pil
• pillow

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

• computer-vision
• machine-learning
• robotics
• tracking

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

• 3d-object-detection
• lidar-point-cloud
• bevmap
• center

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

• robotics
• tracking
• computer-vision
• pose-estimation

Automated 3D cell detection in very large images

• microscopy
• cell-detection
• deep-learning
• image-analysis

Automated 3D brain registration with support for multiple species and atlases.

• registration
• atlases
• brain
• neuroscience

Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy

• biology
• fluorescence
• image-analysis
• image-processing

Gaussian processes and Bayesian optimization for images and hyperspectral data

• image-processing
• hyperspectral-images
• gaussian-processes
• bayesian-optimization

HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.

• image-processing
• images
• image-analysis
• deep-learning

Lattice light-sheet post-processing utility.

• microscopy
• light-sheet
• image-processing
• image-analysis

An interactive image processing program for biologists written in Python.

• biologists
• python
• imagej
• calcium

Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.

• microscopy
• image-processing
• segmentation
• biology

A python package to analyze the matrix fiber orientation and intensity around cells in fiber matrices (as a proxy for cellular forces).

• imaging
• microscopy
• contractility
• collagen

Panoptic segmentation algorithms for 2D and 3D electron microscopy images

• deep-learning
• semantic-segmentation
• segmentation
• pytorch