hog-features
Advanced tools
Comparing version 0.0.2 to 0.0.3
{ | ||
"name": "hog-features", | ||
"description": "Histogram of Oriented Gradients (HOG) descriptor extractor", | ||
"version": "0.0.2", | ||
"description": "Histogram of Oriented Gradients (HOG) features", | ||
"version": "0.0.3", | ||
"author": "jajoe", | ||
@@ -30,6 +30,9 @@ "main": "src/index.js", | ||
"keywords": [ | ||
"HOG descriptor", | ||
"HOG features", | ||
"image processing", | ||
"computer vision" | ||
"computer vision", | ||
"features extraction" | ||
], | ||
"license": "MIT" | ||
} |
@@ -1,6 +0,6 @@ | ||
# HOG feature descriptor (Histogram of oriented gradients) | ||
# HOG features (Histogram of oriented gradients) | ||
## Principe | ||
The main feature of this repository will compute the [HOG descriptor](https://en.wikipedia.org/wiki/Histogram_of_oriented_gradients) of an image. The HOG descriptors are useful for image recognition and image detection. You can find a good tutorial about HOG descriptors [here](http://mccormickml.com/2013/05/09/hog-person-detector-tutorial/). | ||
The main feature of this repository will compute the [HOG features](https://en.wikipedia.org/wiki/Histogram_of_oriented_gradients) of an image. The HOG features (called HOG descriptor too) are useful for image recognition and image detection. You can find a good tutorial about HOG features [here](http://mccormickml.com/2013/05/09/hog-person-detector-tutorial/). | ||
@@ -34,3 +34,3 @@ | ||
const {Image} = require('image-js'); | ||
const hog = require('hog-descriptor'); | ||
const hog = require('hog-features'); | ||
@@ -45,2 +45,6 @@ var file = __dirname + '/__test__/beachball.png'; | ||
## Tutorial | ||
You can find a tutorial where the HOG features is used with an SVM classifier to classify road signs. [Here is the tutorial](https://github.com/jajoe/tutorial-nodejs/tree/master/image-classification). | ||
## License | ||
@@ -47,0 +51,0 @@ |
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