433 Open source projects that are alternatives of or similar to imgcrop

PyTorch extensions for fast R&D prototyping and Kaggle farming

Catalyst.Segmentation

Image Test Time Augmentation with PyTorch!

Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"

High-performance Vision library in Python. Scale your research, not boilerplate.

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Medical image preprocessing and augmentation toolkit for deep learning

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Cut and paste augmentation for object detection and instance segmentation

A pixel classification based multiplexed image segmentation pipeline

Some matlab code of Active Contour Model for image segmentation

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🍞 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。

Road Segmentation in Satellite Aerial Images

HyperSeg - Official PyTorch Implementation

Burmese (Myanmar) syllable level segmentation with regex.

Python 3 library for analysis of neuroanatomical data

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

BlindAssist iOS app

Libtorch Examples

MERlin is an extensible analysis pipeline applied to decoding MERFISH data

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.

MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

TF2 implementation of PointNet for segmenting point clouds

The code for preparing the training data for crowd counting / segmentation algorithm.

DroneDeploy Machine Learning Segmentation Benchmark

RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation

Port of PragmaticSegmenter for sentence boundary detection

A unified environment for DNN-based automated segmentation of neuronal EM images

Rembg Video Virtual Green Screen Edition

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

Example of semantic segmentation in Keras

ETA: Extensible Toolkit for Analytics

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

My Implementation of the deeplab_v1 (known as deeplab large fov)

Axon/Myelin segmentation using Deep Learning

GPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

[deprecated] reference code for string segmentation using LSTM(tensorflow)

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Kaggle | 14th place solution for TGS Salt Identification Challenge

Variants of Vision Transformer and its downstream tasks

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Chinese word segmentation in tensorflow 2.x

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

A Fast and Open Source Autonomous Perception System.

napari plugin for cellpose (see www.cellpose.org) - an anatomical segmentation tool

The Geometry and Image-Based Bioengineering add-On for MATLAB

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

Attention mechanism

R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

TextAugment: Text Augmentation Library

Flood-Filling Networks for instance segmentation in 3d volumes.

TensorFlow implementation of ENet

A segmentation engine for Django user models