SegNet-like Autoencoders in TensorFlow

Overview

SegNet

SegNet is a TensorFlow implementation of the segmentation network proposed by Kendall et al., with cool features like strided deconvolution, a minified architecture and more.

Configuration

Create a config.py file, containing color maps, working dataset and other options.

autoencoder = 'segnet'
colors = {
  'segnet-32': [
    [64, 128, 64],   # Animal
    [192, 0, 128],   # Archway
    [0, 128, 192],   # Bicyclist
    [0, 128, 64],    # Bridge
    [128, 0, 0],     # Building
    [64, 0, 128],    # Car
    [64, 0, 192],    # CartLuggagePram
    [192, 128, 64],  # Child
    [192, 192, 128], # Column_Pole
    [64, 64, 128],   # Fence
    [128, 0, 192],   # LaneMkgsDriv
    [192, 0, 64],    # LaneMkgsNonDriv
    [128, 128, 64],  # Misc_Text
    [192, 0, 192],   # MotorcycleScooter
    [128, 64, 64],   # OtherMoving
    [64, 192, 128],  # ParkingBlock
    [64, 64, 0],     # Pedestrian
    [128, 64, 128],  # Road
    [128, 128, 192], # RoadShoulder
    [0, 0, 192],     # Sidewalk
    [192, 128, 128], # SignSymbol
    [128, 128, 128], # Sky
    [64, 128, 192],  # SUVPickupTruck
    [0, 0, 64],      # TrafficCone
    [0, 64, 64],     # TrafficLight
    [192, 64, 128],  # Train
    [128, 128, 0],   # Tree
    [192, 128, 192], # Truck_Bus
    [64, 0, 64],     # Tunnel
    [192, 192, 0],   # VegetationMisc
    [0, 0, 0],       # Void
    [64, 192, 0]     # Wall
  ]
}
gpu_memory_fraction = 0.7
strided = True
working_dataset = 'segnet-32'

Two kinds of architectures are supported at the moment: the original SegNet Encoder-Decoder (segnet), and a smaller version of the same (mini), which can be used for simpler segmentation problems. I suggest to use strided = True for faster and more reliable results.

The dataset_name needs to match the data directories you create in your input folder. You can use segnet-32 and segnet-13 to replicate the aforementioned Kendall et al. experiments.

Train and test

Generate your TFRecords using tfrecorder.py. In order to do so, put your PNG images in a raw folder, as follows:

input/
    raw/
        train/
        train-labels/
        test/
        test-labels/

Once you have your TFRecords, train SegNet with python src/train.py. Analogously, test it with python src/test.py.

Owner
Andrea Azzini
Andrea Azzini
Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).

AdversarialTexture Adversarial Texture Optimization from RGB-D Scans (CVPR 2020). Scanning Data Download Please refer to data directory for details. B

Jingwei Huang 153 Nov 28, 2022
PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

PaddlePaddle Vision Transformers State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 🤖 PaddlePaddle Visual Transformers (PaddleViT or

1k Dec 28, 2022
Original Implementation of Prompt Tuning from Lester, et al, 2021

Prompt Tuning This is the code to reproduce the experiments from the EMNLP 2021 paper "The Power of Scale for Parameter-Efficient Prompt Tuning" (Lest

Google Research 282 Dec 28, 2022
python 93% acc. CNN Dogs Vs Cats ( Pytorch )

English | 简体中文(测试中...敬请期待) Cnn-Classification-Dog-Vs-Cat 猫狗辨别 (pytorch版本) CNN Resnet18 的猫狗分类器,基于ResNet及其变体网路系列,对于一般的图像识别任务表现优异,模型精准度高达93%(小型样本)。 项目制作于

apple ye 1 May 22, 2022
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

Instance segmentation by jointly optimizing spatial embeddings and clustering bandwidth This codebase implements the loss function described in: Insta

209 Dec 07, 2022
Methods to get the probability of a changepoint in a time series.

Bayesian Changepoint Detection Methods to get the probability of a changepoint in a time series. Both online and offline methods are available. Read t

Johannes Kulick 554 Dec 30, 2022
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

CLOCs is a novel Camera-LiDAR Object Candidates fusion network. It provides a low-complexity multi-modal fusion framework that improves the performance of single-modality detectors. CLOCs operates on

Su Pang 254 Dec 16, 2022
A basic reminder tool written in Python.

A simple Python Reminder Here's a basic reminder tool written in Python that speaks to the user and sends a notification. Run pip3 install pyttsx3 w

Sachit Yadav 4 Feb 05, 2022
[NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts

Unsupervised Learning of Compositional Energy Concepts This is the pytorch code for the paper Unsupervised Learning of Compositional Energy Concepts.

45 Nov 30, 2022
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Riskfolio-Lib Quantitative Strategic Asset Allocation, Easy for Everyone. Description Riskfolio-Lib is a library for making quantitative strategic ass

Riskfolio 1.7k Jan 07, 2023
Uncertain natural language inference

Uncertain Natural Language Inference This repository hosts the code for the following paper: Tongfei Chen*, Zhengping Jiang*, Adam Poliak, Keisuke Sak

Tongfei Chen 14 Sep 01, 2022
Related resources for our EMNLP 2021 paper

Plan-then-Generate: Controlled Data-to-Text Generation via Planning Authors: Yixuan Su, David Vandyke, Sihui Wang, Yimai Fang, and Nigel Collier Code

Yixuan Su 61 Jan 03, 2023
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight) Abstract Due to the limited and even imbalanced dat

Hanzhe Hu 99 Dec 12, 2022
📖 Deep Attentional Guided Image Filtering

📖 Deep Attentional Guided Image Filtering [Paper] Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao ,Xiangyang Ji Harbin Institute of Technology,

9 Dec 23, 2022
iNAS: Integral NAS for Device-Aware Salient Object Detection

iNAS: Integral NAS for Device-Aware Salient Object Detection Introduction Integral search design (jointly consider backbone/head structures, design/de

顾宇超 77 Dec 02, 2022
Code repo for "FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation" (ICCV 2021)

FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation (ICCV 2021) This repository contains the implementation of th

Yuhang Zang 21 Dec 17, 2022
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks (SDPoint) This repository contains the cod

Jason Kuen 17 Jul 04, 2022
PyTea: PyTorch Tensor shape error analyzer

PyTea: PyTorch Tensor Shape Error Analyzer paper project page Requirements node.js = 12.x python = 3.8 z3-solver = 4.8 How to install and use # ins

ROPAS Lab. 240 Jan 02, 2023
This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"

Curriculum_disentangled_recommendation This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation with Noisy Multi-feedb

14 Dec 20, 2022
Repository For Programmers Seeking a platform to show their skills

Programming-Nerds Repository For Programmers Seeking Pull Requests In hacktoberfest ❓ What's Hacktoberfest 2021? Hacktoberfest is the easiest way to g

42 Oct 29, 2022