Decription

This utility is applicable to marking up any points of an image according to neural network creators requirements irrespective to count of these points.

With this utility you may get coordinates of any image points that are keys accordingly to your purposes and write down these image and coordinates into the dataset at the all your points have been marked up

How to install

git clone https://github.com/MostHappyCougar/HDF5ImageMarker.git

Or just download source code from last release

Requirements

This utility made and tested using following packages:

Package	Version
torchvision	0.14.0+cu117
torch	1.13.0+cu117
h5py	3.7.0
matplotlib	3.5.3
numpy	1.23.1

How to use

1. Create your input folder where the images for marking will be take from
   • This folder should be created upon the directory the img_marker.py is stored in
2. Create subdirectory in this folder and put your image set into this subdirectory
3. Set the name of input folder into the <source_folder> tag of config.xml file
4. Create output folder upon directory the img_marker.py is stored in
5. Set the name of output folder into the <output_folder> tag of config.xml file

Now you can use this util via running img_marker.py as regular python script

• To mark up the key point just click to an image in required position
• To cancel last point - press z. You may cancel all points for current image
• When all points have been marked up press Enter to save

Detail configuring

You can also configure some parameters of marking via config.xml. Be aware changing any parameters when img_marker.py is still running is not prodlike scenario. You may change any parameter in config.xml only before img_marker.py is ran.

Parameters overview

• img_w and img_h - the sizes that an each image will be resized to. img_w is image width, img_h is image height
• source_folder - The folder that images for marking is store in
• output_folder - the folder where the HDF5 file will be save
• marks_count - count of poits that will be marked up
• file_name - name of HDF5 file. Should be specitied without file extention
• dataset_name name of dataset inside the HDF5 file