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keras-segnet

SegNet model implemented using keras framework

keras-segnet-1

keras-semantic-segmentation

Keras-Semantic-Segmentation

keras-sparsenet

Keras Implementation of SparseNets

keras-squeeze-excite-network

Implementation of Squeeze and Excitation Networks in Keras

keras-squeezenet

SqueezeNet implementation with Keras Framework

keras-wine-model

Model built with the Keras Functional API

keras2opencv

Sample code for exporting Keras (tensorflow backend) model to OpenCV

keras_frcnn

Keras Implementation of faster-rcnn

keras_hed_with_model

Keras implementation of Holistically-nested edge detection

keras_ocr

用keras实现OCR定位、识别

keras_to_opencv_tensorflow

This is a tool for transforming a model trained with Keras into a Tensorflow Protocol Buffers (.pb). And optimize it for using it with the module Dnn of OpenCV.

keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

kid-programming

Programming exercises for kids (no prior programming experience required, only English)

knowledge_distillation_ad

kornia

Open Source Differentiable Computer Vision Library for PyTorch

krsinopencv

Thise files are created to import keras model in opencv for a classification task

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labeling

Connected Component Labeling Demo

laff-2.0xm

Materials related to the Massive Open Online Course titled "Linear Algebra: Foundations to Frontiers" offered on the edX platform.

laff-on-hpc

Repository for LAFF-On Programming for High Performance

lakdnet

Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer

laminography

MATLAB code for laminography reconstruction using SIRT and CGLS

laplacian-pyramid-loss

lasagne

Lightweight library to build and train neural networks in Theano

laser-scanning

📷🔦💭 A 3D Scanner using Laser Structured Light, written in Python using OpenCV and NumPy.

learned_ct_reco_comparison_paper

Code and supplementing material for the Article "Quantitative comparison of deep learning-based image reconstruction methods for low-dose and sparse-angle CT applications"

learning-generative-adversarial-networks

Learning-Generative-Adversarial-Networks, published by Packt

learning-opencv-3_examples

learning-ransac-fit-ellipse

Python 使用Ransac拟合椭圆