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frangi3d

Computes vesselness scores for 3-dimensional images.

fttl-with-keras

Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras

graph-cut

Graph-cut Image Segmentation ---------------------------- Implements Boykov/Kolmogorov’s Max-Flow/Min-Cut algorithm for computer vision problems. Two gray-scale images have been used to test the system for image segmentation (foreground/background segmentation) problem. Steps: 1. defined the graph structure and unary and pairwise terms. For graph structure, i have used available packages/libraries such as PyMaxflow. 2. likelihood function for background and foreground has been generated. 3. General energy function consisting of unary and pairwise energy functionals have been written. 4. Likelihood maps (intensity map ranging from 0 to 1) for foreground and background have been displayed. 5. Use Boykov/Kolmogorov maxflow / mincut approach for solving the energy minimization problem. 6. Final segmentation have been displayed. Created an image for which the background pixels are red, and the foreground pixels have the color of the input image. Relevant paper can be found here: http://www.csd.uwo.ca/~yuri/Papers/pami04.pdf

growcut

Python implementation of the growcut algorithm.

hed

code for Holistically-Nested Edge Detection

image

store my img

image-segmentation-using-region-growing

Image Segmentation using Region gropwing

itk-jupyter-widgets

Interactive Jupyter widgets to visualize images in 2D and 3D

k3d-jupyter

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-rcnn

Keras package for region-based convolutional neural networks (RCNNs)

keras-transfer-learning-for-oxford102

Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

keras_jupyter_notebooks

kittibox

A car detection model implemented in Tensorflow.

kittiseg

A Kitti Road Segmentation model implemented in tensorflow.

learnopencv

Learn OpenCV : C++ and Python Examples

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

linear-spectral-clustering-superpixel-segmentation-algorithm_python

Python implementation of LSC algo, (C) Zhengqin Li, Jiansheng Chen, 2014

luminoth

Deep Learning toolkit for Computer Vision

machinelearning

Machine learning resources，including algorithm, paper, dataset, example and so on.

map

This code will evaluate the performance of your neural net for object recognition using the mean Average Precision (mAP).

mask_rcnn

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

medical-image-analysis-ipython-tutorials

medical_image_preprocessing_python

有关于Python预处理图像的医学代码

multi_scale_low_rank

Multi-scale Low Rank Matrix Decomposition Code

pet-projects

a series of pet image processing codes

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

practical-ml-w-python

Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.