benjamesbabala Goto Github PK

hierarchicalcnn

hierarchicalconsensus

Identify hierarchical community structure in networks using consensus clustering

high-performance-face-recognition

🔥🔥Several High-Performance Models for Unconstrained/Large-Scale/Low-Shot Face Recognition🔥🔥

highlyaccurate

CVPR2022 "Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image"

hip

HIP : Convert CUDA to Portable C++ Code

histogram-equalization-logarithmic-mapping-image-rotation-gaussian-averaging-filter-median-filter

Implementation of Histogram Equalization, Logarithmic Mapping, Image Rotation, Gaussian Averaging Filter and Median Filter. Histogram equalization is a method using which we can adjust image intensities that will enhance the contrast of the image. By applying the histogram, the intensities of the image can be distributed properly which will allow the area with lower contrast to gain proper higher contrast. To compress the dynamic range of an image we can replace each and every pixel value with their log values. By implementing this, we enhance the low intensity pixels of the image. Logarithmic mapping is a simple point process in which the mapping function is a log curve. Since the logarithm is not defined for, the equation of the log mapping function looks like given below: 𝐼′(𝑟,𝑐)=log(𝐼(𝑟,𝑐)+1). Rotation is the operation that will perform the geometric transformation of the image element which will be rotated at the given angle about an origin. Gaussian filter have a special type of property of not having any overshoot towards a step input function and it minimizes the fall and rise time, thus it has minimum delay in group. Due to this property the Gaussian filter is considered the ideal time domain filter. Median filter is basically used to remove the nonlinear noise in the images. Generally this is used in the preprocessing step in different image processing algorithms. The most significant reason to use the median filtering is that it preserves the edge information even after removing the nonlinear noise.

histogramloss

This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)

history-of-web-frameworks-timeline

The history of web frameworks as described by a timeline of releases.

historyobjectrecognition

hk_camera

海康USB摄像头----MV-CAO13-21UM工业摄像头的调用---python实现

hmn4qa

This is the code&dataset for the paper [Hierarchical Memory Networks for Answer Selection on Unknown Words. COLING 2016]

hndesktop

A Kotlin/Swing desktop application front-end for Hacker News

hoag

Hyperparameter optimization with approximate gradient

home_surveillance

Home surveillance system with facial recognition

homoglyph

A big list of homoglyphs and some code to detect them

honeysql

Turn Clojure data structures into SQL

hopfield-color-recognition

Trains a Hopfield recurrent neural network to recognize colors and uses it to interpret images.

hospital

hostsctl

:see_no_evil: Control your /etc/hosts file easily, block ads, social networks, and more.

how-to-ask-questions-the-smart-way

本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。

how-to-deploy-a-tensorflow-model-in-production

This is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube

how-to-generate-art-demo

This is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube

how-to-generate-music-demo

This is the code for "How to Generate Music - Intro to Deep Learning #9' by Siraj Raval on YouTube

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

how-to-use-tensorflow-for-time-series-live-

how_to_convert_text_to_images

This is the code for "How to Convert Text to Images - Intro to Deep Learning #16' by Siraj Raval on YouTube

how_to_do_math_for_deep_learning

This is the code for "How to Do Math Easily - Intro to Deep Learning #4' by Siraj Raval on YouTube

how_to_do_style_transfer_in_tensorflow

how_to_generate_images

This is the code for "How to Generate Images - Intro to Deep Learning #14' by Siraj Raval on YouTube

how_to_make_an_image_classifier

This is the code for the "How to Make an Image Classifier" - Intro to Deep Learning #6 by Siraj Raval on Youtube