Example of semantic segmentation in Keras

Last update: Mar 23, 2022

Overview

keras-semantic-segmentation-example

Example of semantic segmentation in Keras

Single class example:

Generated data: random ellipse with random color on random color background and with random noise added.

Result: 1st images is input image, 2nd image is ground truth mask, 3rd image is probability, 4th image is probability thresholded at 0.5.

Multi-class example:

Generated data: first class is random ellipse with random color and second class is random rectangle with random color on random color background and with random noise added.

Result: 1st images is input image, 2nd image is ground truth mask, 3rd image is probability, 4th image is probability thresholded at 0.5.

Mae segmentation - Reproduction of semantic segmentation using masked autoencoder (mae)

ADE20k Semantic segmentation with MAE Getting started Install the mmsegmentation

97 Dec 17, 2022

A keras-based real-time model for medical image segmentation (CFPNet-M)

CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation This repository contains the implementat

268 Nov 27, 2022

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Mask R-CNN for Object Detection and Segmentation This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bound

22.5k Jan 4, 2023

Keras implementation of PersonLab for Multi-Person Pose Estimation and Instance Segmentation.

PersonLab This is a Keras implementation of PersonLab for Multi-Person Pose Estimation and Instance Segmentation. The model predicts heatmaps and vari

160 Dec 21, 2022

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

224 Jan 4, 2023

Siamese-nn-semantic-text-similarity - A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task

Siamese Deep Neural Networks for Semantic Text Similarity PyTorch A repository c

32 Dec 15, 2022

Build upon neural radiance fields to create a scene-specific implicit 3D semantic representation, Semantic-NeRF

Comments

Failures if image width != height

In binary_crossentropy_example.py if I change the dimensions of the image so that the width and height are not the same, as in:

IMAGE_W = 126
IMAGE_H = 124

then I get the error:

Epoch 1/100000
Traceback (most recent call last):
File "binary_crossentropy_example.py", line 187, in <module>  train()
File "binary_crossentropy_example.py", line 182, in train callbacks=callbacks)
File "C:\Python3.6\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "C:\Python3.6\lib\site-packages\keras\engine\training.py", line 2230, in fit_generator
class_weight=class_weight)
File "C:\Python3.6\lib\site-packages\keras\engine\training.py", line 1877, in train_on_batch
class_weight=class_weight)
File "C:\Python3.6\lib\site-packages\keras\engine\training.py", line 1480, in _standardize_user_data
exception_prefix='target')
File "C:\Python3.6\lib\site-packages\keras\engine\training.py", line 123, in _standardize_input_data
str(data_shape))
ValueError: Error when checking target: expected activation_1 to have shape (9216, 1) but got array 
with shape (15624, 1)

On Windows 10 Keras 2.1.6 tensorflow 1.8.0

opened by jaybo 3

Reshaping the mask

Sorry for the interruption, but I don't understand why the mask is reshaped in binary_crossentropy_example.py, line 106:

mask_list= mask_list.reshape(batch_size,IMAGE_H*IMAGE_W,NUMBER_OF_CLASSES)

but the image_list is not similarly reshaped. The code works perfectly as is, but I'm just trying to understand why the above line isn't:

mask_list= mask_list.reshape(batch_size,IMAGE_H,IMAGE_W,NUMBER_OF_CLASSES)

opened by jaybo 1

Example of semantic segmentation in Keras

Related tags

Overview

keras-semantic-segmentation-example

Single class example:

Multi-class example:

You might also like...

Mae segmentation - Reproduction of semantic segmentation using masked autoencoder (mae)

A keras-based real-time model for medical image segmentation (CFPNet-M)

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Keras implementation of PersonLab for Multi-Person Pose Estimation and Instance Segmentation.

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

Siamese-nn-semantic-text-similarity - A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task

Build upon neural radiance fields to create a scene-specific implicit 3D semantic representation, Semantic-NeRF

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Comments

Failures if image width != height

Reshaping the mask

Owner

Tensorflow2 Keras-based Semantic Segmentation Models Implementation

An example of semantic segmentation using tensorflow in eager execution.

This is an implementation of Googles Yogi-Optimizer in Keras (tf.keras)

Keras udrl - Keras implementation of Upside Down Reinforcement Learning

Classification models 1D Zoo - Keras and TF.Keras

Neon-erc20-example - Example of creating SPL token and wrapping it with ERC20 interface in Neon EVM

Python-kafka-reset-consumergroup-offset-example - Python Kafka reset consumergroup offset example

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP

TorchDistiller - a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.