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3ae6b41c62
...
27312ae6df
59
.gitignore
vendored
@ -1,58 +1 @@
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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# C extensions
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*.so
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# Distribution / packaging
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bin/
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build/
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develop-eggs/
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dist/
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eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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out/
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*.egg-info/
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.installed.cfg
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*.egg
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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.tox/
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.coverage
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.cache
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nosetests.xml
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coverage.xml
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# Translations
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*.mo
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# Mr Developer
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.mr.developer.cfg
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.project
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.pydevproject
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# Rope
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.ropeproject
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# Django stuff:
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*.log
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*.pot
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# Sphinx documentation
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docs/_build/
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# Temp
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.venv/
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.vscode/
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# Config file
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src/config/config.json
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out
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18
md/nuts.md
Normal file
@ -0,0 +1,18 @@
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### Jullie gaan noten herkennen
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Hoe de neuk? Nut.
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1. Hoe gaan we de noten herkennen (beeld, smaak, geluid, text)?
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- Beeldherkenning lol
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2. Wat zijn de visuele kenmerken van de noten?
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- Vorm, kleur, textuur, grootte
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3. Hoeveel noten willen we herkennen
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- Qua type, hoeveel verschillende noten
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- Qua tijd, hoeveel noten tegelijkertijd
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4. Wat is de achtergrond
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5. Met wat voor camera worden de noten bekeken
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6. Is de noot verwerkt
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De deelvragen moeten sequentieel zijn
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Wij moeten presenteren volgende week
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@ -1,4 +0,0 @@
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{
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"path": "",
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"size": 750
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}
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@ -5,7 +5,6 @@
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<property name="height">800</property>
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<property name="title" translatable="yes">Tree Recogniser 7000</property>
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<property name="width">200</property>
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<bind sequence="<Destroy>" handler="on_quit" add="" />
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<containerlayout manager="pack">
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<property name="propagate">false</property>
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</containerlayout>
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@ -176,9 +175,9 @@
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</object>
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</child>
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<child>
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<object class="ttk.Button" id="prev" named="True">
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<property name="text" translatable="yes">Prev img</property>
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<bind sequence="<ButtonPress>" handler="img_prev" add="" />
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<object class="ttk.Button" id="button1">
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<property name="text" translatable="yes">Next img</property>
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<bind sequence="<ButtonPress>" handler="img_next" add="" />
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<layout manager="grid">
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<property name="column">1</property>
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<property name="ipadx">10</property>
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@ -187,9 +186,9 @@
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</object>
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</child>
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<child>
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<object class="ttk.Button" id="next" named="True">
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<property name="text" translatable="yes">Next img</property>
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<bind sequence="<ButtonPress>" handler="img_next" add="" />
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<object class="ttk.Button" id="button2">
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<property name="text" translatable="yes">Prev img</property>
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<bind sequence="<ButtonPress>" handler="img_prev" add="" />
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<layout manager="grid">
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<property name="column">2</property>
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<property name="ipadx">10</property>
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@ -214,7 +213,7 @@
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<bind sequence="<ButtonPress>" handler="apply" add="" />
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<layout manager="grid">
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<property name="column">2</property>
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<property name="columnspan">1</property>
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<property name="columnspan">2</property>
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<property name="ipadx">0</property>
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<property name="row">6</property>
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</layout>
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@ -239,22 +238,6 @@
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</layout>
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</object>
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</child>
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<child>
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<object class="tk.Text" id="dataset" named="True">
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<property name="height">10</property>
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<property name="pady">0</property>
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<property name="state">disabled</property>
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<property name="text" translatable="yes">Image metadata should appear here</property>
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<property name="width">25</property>
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<property name="wrap">word</property>
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<layout manager="grid">
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<property name="column">3</property>
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<property name="columnspan">1</property>
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<property name="row">0</property>
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<property name="rowspan">8</property>
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</layout>
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</object>
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</child>
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</object>
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</child>
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<child>
|
BIN
src/helpers/algorithms/__pycache__/pysift.cpython-311.pyc
Normal file
Before Width: | Height: | Size: 2.1 MiB After Width: | Height: | Size: 2.1 MiB |
Before Width: | Height: | Size: 2.0 MiB After Width: | Height: | Size: 2.0 MiB |
Before Width: | Height: | Size: 1.9 MiB After Width: | Height: | Size: 1.9 MiB |
Before Width: | Height: | Size: 2.7 MiB After Width: | Height: | Size: 2.7 MiB |
Before Width: | Height: | Size: 1.2 MiB After Width: | Height: | Size: 1.2 MiB |
Before Width: | Height: | Size: 1.8 MiB After Width: | Height: | Size: 1.8 MiB |
171
src/suite.py
@ -8,18 +8,10 @@ import numpy as np
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import cv2
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import time
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import matplotlib.pyplot as plt
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import json
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## UI config load
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PROJECT_PATH = pathlib.Path(__file__).parent
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PROJECT_UI = "./src/helpers/gui/main.ui"
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PROJECT_UI = "./src/gui/main.ui"
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## Config file load
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CONFIG_PATH = "./src/config/config.json"
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config_file = open(CONFIG_PATH)
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config_json = json.load(config_file)
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## UI class setup
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class MainApp:
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def __init__(self, master=None):
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self.builder = builder = pygubu.Builder()
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@ -29,51 +21,38 @@ class MainApp:
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# Main widget
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self.mainwindow = builder.get_object("main", master)
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# Canvas for output images
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self.canvas = builder.get_object("output_canvas")
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self.tk_imgs = [] # Required or python will forget
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self.output = [[] for x in range(2)]
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self.meta = builder.get_object("dataset")
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# Keep track of images in dataset
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self.tk_imgs = []
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self.canny_thr1 = None
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self.canny_thr2 = None
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self.img_path = None
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self.img_current = 0
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self.img_max = 0
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# Plots
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self.axs = self.createPlot(2, 2)
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# UI Variables
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self.canny_thr1 = None
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self.canny_thr2 = None
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self.img_path = None
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# UI
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self.blur_rate = None
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self.img_size = None
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self.sobel_select = None
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self.export_id = None
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builder.import_variables(self, ['canny_thr1','canny_thr2','img_path','blur_rate','img_size', 'sobel_select', 'export_id'])
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builder.import_variables(self,
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['canny_thr1',
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'canny_thr2',
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'img_path',
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'blur_rate',
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'img_size',
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'sobel_select',
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'export_id'])
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builder.connect_callbacks(self)
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# Load values from config after UI has been initialised
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self.img_path.set(config_json["path"])
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self.img_size.set(config_json["size"])
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def on_quit(self, event=None):
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'''
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Close PLT windows on main app quit
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'''
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plt.close()
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self.mainwindow.quit();
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def run(self):
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'''
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Run loop
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'''
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self.mainwindow.mainloop()
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def img_prev(self, event=None):
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'''
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Open previous image from path
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'''
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if self.img_current == 0:
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self.img_current = self.img_max - 1
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else:
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@ -81,9 +60,6 @@ class MainApp:
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self.update(self)
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def img_next(self, event=None):
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'''
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Open next image from path
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'''
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if self.img_current == (self.img_max - 1):
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self.img_current = 0
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else:
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@ -91,9 +67,6 @@ class MainApp:
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self.update(self)
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def apply(self, event=None):
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'''
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Export current dataset
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'''
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img_arr = self.tk_imgs
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img_id = self.export_id.get()
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@ -102,58 +75,10 @@ class MainApp:
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else:
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print("Nothing to export!")
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def add_output(self, data, name: str):
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'''
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Add CV2 image to canvas output
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'''
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self.output[0].append(data)
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self.output[1].append(name)
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def draw_output(self, size):
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# Check if size of canvas has updated
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drawW = self.canvas.winfo_width()
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# Reset drawing position
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drawX = 0
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drawY = 0
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# Clear previously printed images
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self.tk_imgs = []
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self.meta.config(state=NORMAL)
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self.meta.delete(1.0, END)
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# Draw all output images
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for idx, data in enumerate(self.output[0]):
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# Create ui image
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tk_img = cv2.cvtColor(data, cv2.COLOR_BGR2RGB)
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tk_img = ImageTk.PhotoImage(image=Image.fromarray(tk_img))
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self.tk_imgs.append(tk_img)
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## Check if next item will be out of range
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if (drawX + size >= drawW):
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drawY += size
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drawX = 0
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self.canvas.configure(height=(drawY+size))
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self.canvas.create_image(drawX,drawY,anchor=NW,image=self.tk_imgs[idx],tags="og")
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drawX += size
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# Add name to text box
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self.meta.insert(END, F"{idx}: {self.output[1][idx]}\n")
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# Clear output
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self.output = [[] for x in range(2)]
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self.meta.config(state=DISABLED)
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# Draw canvas
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# TODO IDK volgens mij moet je deze wel callen maar het programma doet het nog (geen vragen stellen)
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# self.canvas.draw()
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def createPlot(self, columns, rows):
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fig, axs = plt.subplots(columns, rows)
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return axs
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def drawHist(self, image, labels, column, row):
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self.axs[column, row].clear()
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for i,lab in enumerate(labels):
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@ -195,6 +120,11 @@ class MainApp:
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def update(self, event=None):
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path = self.img_path.get()
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print(path)
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drawW = self.canvas.winfo_width()
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drawX = 0
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drawY = 0
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if path != None and path != "":
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# Get all images at current path
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@ -211,24 +141,31 @@ class MainApp:
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sxy = self.sobel_select.get()
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size = self.img_size.get()
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# Keep array of cv2 images to output
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output = []
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# Clear previously printed images
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self.tk_imgs = []
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# Import and resize image
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img = cv2.imread(images[self.img_current])
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img = cv2.resize(img, (size, size), interpolation = cv2.INTER_AREA)
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self.add_output(img, "Original")
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output.append(img) # First output image is original
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# Set grayscale
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img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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self.add_output(img_gray, "Grayscale")
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output.append(img_gray) # Second output is grayscale
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# Blurred edition
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if (br == 0):
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# Disable
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img_blur = img_gray
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elif (br % 2 == 1):
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img_blur = cv2.GaussianBlur(img_gray, (br, br), 0)
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else:
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print(f"Blur rate changed to {br - 1}")
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img_blur = cv2.GaussianBlur(img_gray, (br-1, br-1), 0)
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self.add_output(img_blur, "Blurred")
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output.append(img_blur)
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||||
# Sobel edge
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||||
if sxy in ['x', 'y', 'both']:
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@ -244,37 +181,49 @@ class MainApp:
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img_sobel = cv2.Sobel(src=img_blur, ddepth=cv2.CV_8U, dx=dx, dy=dy, ksize=5)
|
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else:
|
||||
img_sobel = img_gray
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self.add_output(img_sobel, "Sobel Edge")
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img_sobel = img_gray
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output.append(img_sobel)
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# Canny edge
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img_canny = cv2.Canny(image=img_blur,threshold1=ct1,threshold2=ct2)
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self.add_output(img_canny, "Canny Edge")
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||||
output.append(img_canny)
|
||||
|
||||
# BGR
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||||
self.add_output(img[:, :, 0], "BGR B")
|
||||
self.add_output(img[:, :, 1], "BGR G")
|
||||
self.add_output(img[:, :, 2], "BGR R")
|
||||
|
||||
output.append(img[:, :, 0]) # B
|
||||
output.append(img[:, :, 1]) # G
|
||||
output.append(img[:, :, 2]) # R
|
||||
if img is not None:
|
||||
self.drawHist(img, ('B', 'G', 'R'), 0, 0)
|
||||
|
||||
# HSV
|
||||
img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
|
||||
self.add_output(img_hsv, "HSV")
|
||||
self.add_output(img_hsv[:, :, 0], "HSV H") # H
|
||||
self.add_output(img_hsv[:, :, 1], "HSV S") # S
|
||||
self.add_output(img_hsv[:, :, 2], "HSV V") # V
|
||||
|
||||
output.append(img_hsv)
|
||||
output.append(img_hsv[:, :, 0]) # H
|
||||
output.append(img_hsv[:, :, 1]) # S
|
||||
output.append(img_hsv[:, :, 2]) # V
|
||||
if img_hsv is not None:
|
||||
self.drawHist(img_hsv, ('H', 'S', 'V'), 0, 1)
|
||||
|
||||
# Canny Heatmap
|
||||
self.drawCannyHM(img, 1, 1)
|
||||
|
||||
plt.show(block=False)
|
||||
|
||||
# Show all data
|
||||
plt.show(block=False) ## Graphs
|
||||
self.draw_output(size) ## Images
|
||||
# Draw all output images
|
||||
for idx, data in enumerate(output):
|
||||
# Create ui image
|
||||
tk_img = cv2.cvtColor(data, cv2.COLOR_BGR2RGB)
|
||||
tk_img = ImageTk.PhotoImage(image=Image.fromarray(tk_img))
|
||||
self.tk_imgs.append(tk_img)
|
||||
|
||||
## Check if next item will be out of range
|
||||
if (drawX + size >= drawW):
|
||||
drawY += size
|
||||
drawX = 0
|
||||
self.canvas.configure(height=(drawY+size))
|
||||
|
||||
self.canvas.create_image(drawX,drawY,anchor=NW,image=self.tk_imgs[idx],tags="og")
|
||||
drawX += size
|
||||
self.canvas.draw()
|
||||
|
||||
if __name__ == "__main__":
|
||||
app = MainApp()
|
||||
|