Fix typo in README

This commit is contained in:
tzutalin 2016-04-01 09:45:35 +08:00
parent a3557f2f98
commit c70fc5eae3

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@ -4,7 +4,7 @@ LabelImg is a graphical image annotation tool. The source mainly comes from [lab
It is written in Python and uses Qt for its graphical interface. It is written in Python and uses Qt for its graphical interface.
The annotation file will be saved as a XML file. The annotation format is PASCAL VOC format, and the format is the same as [ImageNet](http://www.image-net.org/) The annotation file will be saved as an XML file. The annotation format is PASCAL VOC format, and the format is the same as [ImageNet](http://www.image-net.org/)
![](icons/demo.png) ![](icons/demo.png)
@ -38,7 +38,7 @@ After cloning the code, you should run `make all` to generate the resource file.
You can then start annotating by running `./labelImg.py`. For usage You can then start annotating by running `./labelImg.py`. For usage
instructions you can see [Here](https://youtu.be/p0nR2YsCY_U) instructions you can see [Here](https://youtu.be/p0nR2YsCY_U)
At the moment annotations are saved as a XML file. The format is PASCAL VOC format, and the format is the same as [ImageNet](http://www.image-net.org/) At the moment annotations are saved as an XML file. The format is PASCAL VOC format, and the format is the same as [ImageNet](http://www.image-net.org/)
You can also see [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc You can also see [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc
@ -71,4 +71,4 @@ The annotation will be saved to the folder you specifiy
* p : Previous image * p : Previous image
### How to contribute ### How to contribute
Send a pull request and help me write setup.py to build executable file for all platforms. Send a pull request