393 Open source projects that are alternatives of or similar to smartImgProcess

PyTorch implementation of DeepLabv3

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

An implementation of the seam carving algorithm, designed to resize images while preventing distortion.

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

A paper list of RGBD semantic segmentation (processing)

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

Develop production ready deep learning code, deploy it and scale it

Simplest and fastest image and text annotation tool.

A framework for developing neural network models for 3D image processing.

DeepLab-LargeFOV implemented in tensorflow

🌅 Content-aware image resizer and object remover based on Seam Carving algorithm

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Satellite Image Classification using semantic segmentation methods in deep learning

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

Semantic Segmentation using Fully Convolutional Neural Network.

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

Semantic Segmentation Models in Pytorch

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

Content aware image resize library

ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

A fast Python implementation of Seam Carving for Content-Aware Image Resizing.

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

The official homepage of the (outdated) COCO-Stuff 10K dataset.

Fully convolutional networks for semantic segmentation

The implementation of 3D-UNet using PyTorch

Sandbox for training deep learning networks

Adaptive Affinity Fields for Semantic Segmentation

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597