https://github.com/atcold/torch-inria
Loads face, torso, body and background samples from INRIA dataset
https://github.com/atcold/torch-inria
Last synced: 12 months ago
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Loads face, torso, body and background samples from INRIA dataset
- Host: GitHub
- URL: https://github.com/atcold/torch-inria
- Owner: Atcold
- Created: 2014-08-01T18:36:48.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2014-08-01T22:33:17.000Z (over 11 years ago)
- Last Synced: 2025-03-30T16:05:49.900Z (about 1 year ago)
- Language: Lua
- Size: 434 KB
- Stars: 6
- Watchers: 2
- Forks: 2
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# torch-INRIA
[`makeClasses`](src/makeClasses.lua) is a simple script that loads face, torso, body and background samples from INRIA dataset and saves them in a *ImageNet* compatible format. This means, object are fairly centred and the sample size is 256 × 256 px².
In this first release, the dataset has to be downloaded manually from [here](http://pascal.inrialpes.fr/data/human/INRIAPerson.tar) and extracted into `~/Work/Datasets`.
> In the code there is my user name (`~` = `/Users/atcold`). I will probably update it in a following commit.
What this script does is simply extract every *face*, *torso* and *body* from the positive and *background* from the negative folder, cropping them square and saving them into a `Extracted-data` folder, under a sub-directory representing their label.
- `Face`: are sized 1/3 of the width of the bounding box;
- `Torso`: upper biggest square croppable from the bounding box;
- `Body`: square with side equal to the hight of the bounding box. If the limits of the image are exceeded (the image is too narrow), the first/last column of pixel is replicated to fill the gap;
- `Bckg`: squares of 128 px are cropped randomly from the negative samples.
And this is how they look like
## How to run it
After changing the folder pointers in the code (which I will make soon automatic), in the [`src`](src) directory, run
```
th makeClasses.lua
```
## How is this done?
To have an idea of the information provided with the dataset, I wrote [`checkBox`](src/checkBox.lua) which gives a general idea of what we can do with the data. To run it, go to the [`src`](src) directory and type
```
qlua checkBox.lua
```
