Updated readme to reflect changes in application.

README.md

@@ -1,15 +1,19 @@
 
 # About this Project
 
-This project is being developed as a practical part of bachelor's thesis at Brno Universtiy of Technology - Faculty of Information Studies. It is as of now a work in progress, no results guaranteed.
+This project is being developed as a practical part of bachelor's thesis at Brno University of Technology - Faculty of Information Technology.
+It is as of now a work in progress.
 
-The topic of this thesis is Generating a 3D Fingerprint Model. This application can be used to apply series of image processing filters to a fingerprint image to make it more suitable for conversion to 3D stl model and printing.
-It also includes the functionality to use generated image as a height map for generating an stl model.
-This model can either be planar or curved. 
+The topic of this thesis is Generating a 3D Fingerprint Model from input fingerprint image. 
+This application can be used to apply series of image processing filters to a fingerprint image to make it more suitable for conversion to 3D stl model and printing.
+
+The second part of the project includes the functionality to use generated image as a height map for generating 3D model in stl format.
+This model can either be planar, curved or mapped. 
 
 # Prerequisites
 
-For now this is only viable for ubuntu gnu/linux machines
+For now this is only viable for ubuntu gnu/linux machines.
+It should however be possible to run it in WSL and virtual machines of most linux distributions.
 Before cloning repository, you need these to succesfully use the application.
 
 * python version 3.10 is a requirement might work on earlier python 3 versions
@@ -18,7 +22,7 @@ Before cloning repository, you need these to succesfully use the application.
     sudo apt install python3.10
     ```
 
-* virtualenv for virtual enviroment creation
+* virtualenv package for virtual enviroment creation, other packages are installed automatically later
 
     ```sh
     pip install virtualenv
@@ -26,57 +30,65 @@ Before cloning repository, you need these to succesfully use the application.
 
 # Installation
 
-1. Go to a suitable installation folder, for example Documents.
+1. Go to a suitable installation folder, for example Documents:
     ```sh
     cd /home/username/Documents
     ```
 
-2. Clone the repository to a suitable directory, for example 
+2. Clone the repository to a suitable directory, for example:
     ```sh
     git clone ssh://git@strade.fit.vutbr.cz:3022/xlanro00/BP_DP-xlanro00.git
     ```
 
-3. Go inside cloned directory
+3. Go inside cloned directory:
     ```sh
     cd BP_DP-xlanro00
     ```
 
-4. Create and enter the virtual enviroment.
+4. Create and enter the virtual enviroment:
     ```sh
     virtualenv .venv && source .venv/bin/activate
     ```
 
-5. Install required python modules from requirements.txt.
+5. Install required python modules from requirements.txt:
     ```sh
     pip install -r requirements.txt
     ```
 
-6. Run the application, as an example there is a file in res/examples called Palec_P4.tif. This is shown in the section below.
+6. Now, you can run the application, as an example there is a file in res/examples called Palec_P4.tif. This is shown in the section below.
 
 # Filtering images
 
+Once all the requirements are installed, the application is ready to use.
+
 * You will need to enter the virtual enviroment every time you want to use the application.
     ```sh
     source .venv/bin/activate
     ```
 
-Once all the requirements are installed, the program is ready to use. There are two ways to enter the filters:
+* The application requires input and output filenames including path from the root project directory, dpi and filter list.
+    ```sh
+    python3 src/main.py input_file output_file dpi filters
+    ```
+
+There are two ways to enter the filters:
 
-1. manually list filter names and parameters from command line
+1. manually list all filter names and their parameters on the command line:
     ```sh
     python3 src/main.py res/examples/Palec_P4.tif res/examples/Palec_P4_from_cline.png 600 total_variation weight=0.15 median ksize=5
     ```
 
-2. from preset saved in a json config file, that can be used to tune and modify existing presetrs, or create new ones
+2. load them from preset in a JSON configuration file, that can be used to tune and modify existing presets, or create new ones:
     ```sh
-    python3 src/main.py res/examples/Palec_P4.tif res/examples/Palec_P4_from_preset.png 600 --config config/config.json git_example
+    python3 src/main.py res/examples/Palec_P4.tif res/examples/Palec_P4_from_preset.png 600 --config conf/conf.json git_example
     ```
 
 # Configuration and presets
 
-There is an option to input the filter series as a preset from json configuration file. 
-This preset is automatically stored inside a json file, which serves as a database for storing filters. 
-This prevents losing filter preset information when modifying filter which was used to generate 3D models.
+There is an option to input the filter series as a preset from JSON configuration file.
+To avoid accidental loss of information caused by modifying presets that have been used to generate stl files, 
+these presets are stored inside a JSON file db.json.
+This file serves as a simple database for storing presets, stored presets are modified by adding generated hash of all the filters in that preset.
 
 <table style="width:100%;">
   <thead>
@@ -129,19 +141,14 @@ This prevents losing filter preset information when modifying filter which was u
   </tbody>
 </table>
 
-There is also an option to save current command line setting as a preset using -d switch:
-
-* General command for saving filter preset
-    ```sh
-    python3 src/main.py input_file output_file dpi -d new_preset_name filters
-    ```
+There is also an option to save current command line setting as a preset using -d switch and it's new name:
 
 * Working example
     ```sh
     python3 src/main.py res/examples/Palec_P4.tif res/examples/Palec_P4_from_cline.png 600 -d preset_gaussian gaussian sigma=1
     ```
 
-All the filters used and their parameters are described below.
+List of all implemented filters and their parameters is described below.
 
 ## Available filters with parameters
 
@@ -235,9 +242,10 @@ Image before processing the fingerprint and after applying a presets.
 
 # Generating curved finger model
 
-It is possible to generate 3D printable stl model using `--stl` switch, which requires aditional parameter containing stl filename. 
-In base mode the output model will be a curved finger model, with optional parameters following the filename controlling its shape.
-First optional parameter is papilar line height, second rate of curvature along x axis and the third is the rate of curvature along y axis. 
+It is possible to generate stl model using the `--stl` switch. This requires more parameters, first of which is the type of generated fingerprint.
+If the mode is set to `c`, the output model will be a curved finger model, with optional parameters following the filename controlling its shape.
+First optional parameter is papilar line height `height_line`, second is thickness of the model `height_base`, 
+third the rate of curvature along x axis `curv_rate_x` and the third is the rate of curvature along y axis `curv_rate_y`. 
 
 * General form for curved stl generation
     ```sh
@@ -251,15 +259,15 @@ First optional parameter is papilar line height, second rate of curvature along
 
 # Generating planar finger model
 
-Using `-p` switch makes the generated model planar.
-Optional parameters are model base thickness and papilar lines height, they are set after stl file name.
+Using `p` mode makes the generated fingerprint model flat.
+Optional parameters are height of the papilar lines and base thickness.
 
-* General form for planar stl generation
+* General command form for planar stl generation
     ```sh
     python3 src/main.py input_file output_file dpi --config config_file preset --stl p height_line height_base
     ```
 
-* Working example planar stl generation
+* Working example of planar stl generation
     ```sh
     python3 src/main.py res/examples/Palec_P4.tif res/examples/Palec_P4_from_preset.png 600 --config config/config.json git_example --stl p 2 10
     ```
@@ -268,7 +276,7 @@ Optional parameters are model base thickness and papilar lines height, they are
 
 This section will be added later, (if implemented) mapping of fingerprint to a given finger model.
 
-* General form for planar stl generation
+* General command form for mapped stl generation
     ```sh
     python3 src/main.py input_file output_file dpi --config config_file preset --stl m height_line height_base finger_file
     ```
@@ -303,12 +311,12 @@ options:
 - [X] Create filter library with more filters
     - [X] Add more suitable filters to the library
 - [x] Use presets from config files
-    - [ ] Add the option to save current filter preset to config file
+    - [X] Add the option to save current filter preset to config file
 - [X] Add the option to modify filter parameters
-- [X] Convert the processed image to stl lithophane
+- [X] Convert the processed image to flat stl lithophane
 - [X] Add the option to curve the lithophane into the shape of a finger
-- [ ] Add the option to map the fingerprint onto a given finger model
 - [X] Export final model ready for 3D print
+- [ ] Add the option to map the fingerprint onto a given finger model
 
 #
 ### Author