Merge branch 'main' of https://arnweb.nl/gitea/arne/EV5_Beeldherk_Bomen
This commit is contained in:
commit
a8c7581fac
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@ -1,4 +1,5 @@
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{
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"path": "",
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"out": "",
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"size": 750
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}
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@ -16,53 +16,68 @@ def histNormalize(hist):
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for i in range(len(hist)):
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hist[i][0] = (hist[i][0] - min_val)/(max_val - min_val)
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DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\EV5_Beeldherk_Bomen\\res\\trees\\"
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SAVE_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\EV5_Beeldherk_Bomen\\res\\essay\\"
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IMAGE = "berk_sq1_original.png"
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# DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\snake-vault\\TREES\\dataset\\"
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# full_img = cv2.imread(DATASET_PATH + "alder\\1.jpg", 1)
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full_img = cv2.imread(DATASET_PATH + IMAGE, 1)
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assert full_img is not None, "Path is wrong: " + DATASET_PATH + IMAGE
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DATASET_PATH = "..\\..\\..\\res\\trees\\"
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full_img = cv2.imread(DATASET_PATH + "berk_sq1_original.png", 1)
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assert full_img is not None, "Path is wrong"
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bgr_img = cv2.resize(full_img, (0, 0), fx=0.25, fy=0.25)
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hsv_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV)
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# cv2.imshow('BGR',bgr_img)
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# cv2.imshow('HSV',hsv_img)
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# cv2.imshow('HSV - H',hsv_img[:, :, 0])
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# cv2.imshow('HSV - S',hsv_img[:, :, 1])
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# cv2.imshow('HSV - V',hsv_img[:, :, 2])
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cv2.imshow('BGR', bgr_img)
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BGR = np.concatenate((bgr_img[:, :, 0], bgr_img[:, :, 1], bgr_img[:, :, 2]),
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axis=1)
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cv2.imshow("BGR - Expanded", BGR)
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cv2.imshow('HSV', hsv_img)
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HSV = np.concatenate((hsv_img[:, :, 0], hsv_img[:, :, 1], hsv_img[:, :, 2]),
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axis=1)
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cv2.imshow("HSV - Expanded", HSV)
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cv2.imwrite(SAVE_PATH + "2-5-1_bgr.png", bgr_img)
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cv2.imwrite(SAVE_PATH + "2-5-1_bgr_expanded.png", BGR)
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cv2.imwrite(SAVE_PATH + "2-5-1_hsv.png", hsv_img)
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cv2.imwrite(SAVE_PATH + "2-5-1_hsv_expanded.png", HSV)
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print("BGR")
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mean, std = imgStats(bgr_img)
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print(mean)
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print(std)
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print()
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mean, std = imgStats(hsv_img)
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print(mean)
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print(std)
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print()
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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hist = cv2.calcHist([bgr_img], [0], None, [256], [0,256])
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plt.plot(hist, label='B', c='b')
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hist = cv2.calcHist([bgr_img], [1], None, [256], [0,256])
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plt.plot(hist, label='G', c='g')
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hist = cv2.calcHist([bgr_img], [2], None, [256], [0,256])
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plt.plot(hist, label='R', c='r')
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plt.title("BGR histogram")
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plt.xlabel("Waarde van pixels [0-255]")
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plt.ylabel("Hoeveelheid pixels")
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plt.grid()
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plt.legend()
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plt.show()
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print("HSV")
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mean, std = imgStats(hsv_img)
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print(mean)
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print(std)
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hist = cv2.calcHist([hsv_img], [0], None, [256], [0,256])
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plt.plot(hist, label='H')
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hist = cv2.calcHist([hsv_img], [1], None, [256], [0,256])
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plt.plot(hist, label='S')
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hist = cv2.calcHist([hsv_img], [2], None, [256], [0,256])
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plt.plot(hist, label='V')
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plt.title("HSV histogram")
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plt.xlabel("Waarde van pixels [0-255]")
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plt.ylabel("Hoeveelheid pixels")
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plt.grid()
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plt.legend()
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plt.show()
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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plt.show()
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@ -192,12 +192,12 @@
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</child>
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<child>
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<object class="ttk.Button" id="button3">
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<property name="text" translatable="yes">Useless button</property>
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<property name="text" translatable="yes">Export PNG</property>
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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="ipadx">0</property>
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<property name="ipadx">10</property>
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<property name="row">7</property>
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<property name="rowspan">1</property>
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</layout>
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@ -215,7 +215,7 @@
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</child>
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<child>
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<object class="ttk.Label" id="label1">
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<property name="text" translatable="yes">Useless imput</property>
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<property name="text" translatable="yes">Export Image by ID</property>
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<layout manager="grid">
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<property name="column">1</property>
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<property name="columnspan">2</property>
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@ -228,8 +228,10 @@
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<property name="height">15</property>
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<property name="pady">0</property>
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<property name="selectborderwidth">4</property>
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<property name="setgrid">false</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="takefocus">true</property>
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<property name="text" translatable="yes">Image IDs 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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@ -282,6 +284,28 @@
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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="ttk.Button" id="export_all" named="True">
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<property name="text" translatable="yes">Export ID for entire dataset</property>
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<bind sequence="<ButtonRelease>" handler="apply_all" add="" />
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<layout manager="grid">
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<property name="column">1</property>
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<property name="columnspan">2</property>
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<property name="ipadx">30</property>
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<property name="row">8</property>
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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="ttk.Label" id="label2">
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<property name="font">TkIconFont</property>
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<property name="text" translatable="yes">Powered by ARNweb.nl & TomSelier.com</property>
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<layout manager="grid">
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<property name="column">0</property>
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<property name="row">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>
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99
src/suite.py
99
src/suite.py
@ -10,6 +10,9 @@ import time
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import matplotlib.pyplot as plt
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import json
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from helpers.statistics import imgStats
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import datetime
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import os
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import copy
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## UI config load
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PROJECT_PATH = pathlib.Path(__file__).parent
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@ -38,6 +41,7 @@ class MainApp:
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# Keep track of images in dataset
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self.img_current = 0
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self.img_old = -1
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self.img_max = 0
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# Plots
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@ -48,12 +52,14 @@ class MainApp:
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self.canny_thr2 = None
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self.img_path = None
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self.contrast = None
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self.img_size = None
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self.img_size_old = 0 ## Check if the rendering size has changed, if it has the analysis has to be run
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self.sobel_select = None
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self.export_id = None
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self.brightness = None
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builder.import_variables(self,['canny_thr1','canny_thr2','img_path','contrast','img_size','sobel_select','export_id','brightness'])
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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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@ -93,17 +99,53 @@ class MainApp:
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self.img_current = self.img_current + 1
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self.update(self)
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def apply(self, event=None):
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def apply(self, event=None, path=None):
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'''
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Export current dataset
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'''
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# Get export settings
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img_arr = self.tk_imgs
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img_id = self.export_id.get()
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if path == None:
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path = config_json["out"]
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else:
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print(F"Using path: {path}")
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if (img_id >= 0 and img_id < len(img_arr)):
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print("export")
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if (img_id >= 0 and img_id < len(img_arr)):
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# Create file
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now = datetime.datetime.now()
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new_file_name = F"{self.img_current}-{self.output[1][img_id]}-{now.strftime('%Y-%m-%dT%H.%M.%S')}.png"
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# Put data
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file_path = pathlib.Path(path, new_file_name)
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# print(file_path)
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imgpil = ImageTk.getimage(self.tk_imgs[img_id])
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imgpil.save(file_path, "PNG" )
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imgpil.close()
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print(f"Exported Image ID {img_id} to {os.path.join(path, new_file_name)}")
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else:
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print("Nothing to export!")
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def apply_all(self, event=None):
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img_id = self.export_id.get()
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img_current = copy.deepcopy(self.img_current)
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now = datetime.datetime.now()
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path = pathlib.Path(config_json["out"], F"{self.output[1][img_id]}-all-{now.strftime('%Y-%m-%dT%H.%M.%S')}/")
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os.mkdir(path)
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while True:
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self.img_next()
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self.update(part_update=True) # Enforce partial update since we don't need the histograms etc.
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self.apply(path=path)
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if (self.img_current == img_current):
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break
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## Ensure display is always correct with image
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self.update()
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def add_output(self, data, name: str):
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'''
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@ -146,7 +188,6 @@ class MainApp:
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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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@ -204,9 +245,20 @@ class MainApp:
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%(labels[0], mean[0], labels[1], mean[1], labels[2], mean[2],
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labels[0], std[0], labels[1], std[1], labels[2], std[2]))
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def update(self, event=None):
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def update(self, event=None, part_update=False):
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path = self.img_path.get()
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## Check if hist and canny hm have to be rerendered
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if not part_update: ## If partial update has not been forced, check if full update is required
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if (self.img_current != self.img_old or self.img_size != self.img_size_old):
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part_update = False
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self.img_old = self.img_current
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self.img_size_old = self.img_size
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else:
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part_update = True
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else:
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print("Partial update forced!")
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if path != None and path != "":
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# Get all images at current path
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images = []
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@ -223,6 +275,9 @@ class MainApp:
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contrast = self.contrast.get()
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bright = self.brightness.get()
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# Clear output
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self.output = [[] for x in range(2)]
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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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@ -236,11 +291,12 @@ class MainApp:
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contrast_val = contrast / 100
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bright_val = bright / 100
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img_contrast = np.clip(contrast_val * (img_gray + bright_val), 0, 255).astype(np.uint8)
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self.add_output(img_contrast, F"Contrast / Brightness\n c+{contrast_val} b+{bright_val}")
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# self.add_output(img_contrast, F"Contrast / Brightness\n c+{contrast_val} b+{bright_val}")
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self.add_output(img_contrast, F"BCG")
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# Blurred edition
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img_blur = cv2.GaussianBlur(img_gray, (3, 3), 0)
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self.add_output(img_blur, "Blurred (3)")
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self.add_output(img_blur, "Blurred_k3")
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# Sobel edge
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if sxy in ['x', 'y', 'both']:
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@ -257,17 +313,18 @@ 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:
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img_sobel = img_gray
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self.add_output(img_sobel, F"Sobel Edge\n nz={cv2.countNonZero(img_sobel)}")
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self.add_output(img_sobel, "Sobel_edge")
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# self.add_output(img_sobel, F"Sobel Edge\n nz={cv2.countNonZero(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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self.add_output(img_canny, "Canny_edge")
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self.writeStats(img, ('B', 'G', 'R'), 0, 0)
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# BGR
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self.add_output(img[:, :, 0], "BGR B")
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self.add_output(img[:, :, 1], "BGR G")
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self.add_output(img[:, :, 2], "BGR R")
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self.add_output(img[:, :, 0], "BGR_B")
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self.add_output(img[:, :, 1], "BGR_G")
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self.add_output(img[:, :, 2], "BGR_R")
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if img is not None:
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self.drawHist(img, ('B', 'G', 'R'), 0, 0)
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@ -275,16 +332,18 @@ class MainApp:
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# HSV
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img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
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self.add_output(img_hsv, "HSV")
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self.add_output(img_hsv[:, :, 0], "HSV H") # H
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self.add_output(img_hsv[:, :, 1], "HSV S") # S
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self.add_output(img_hsv[:, :, 2], "HSV V") # V
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self.add_output(img_hsv[:, :, 0], "HSV_H") # H
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self.add_output(img_hsv[:, :, 1], "HSV_S") # S
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self.add_output(img_hsv[:, :, 2], "HSV_V") # V
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if img_hsv is not None:
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self.drawHist(img_hsv, ('H', 'S', 'V'), 0, 1)
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self.writeStats(img_hsv, ('H', 'S', 'V'), 0, 1)
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if not part_update:
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if img_hsv is not None:
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self.drawHist(img_hsv, ('H', 'S', 'V'), 0, 1)
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self.writeStats(img_hsv, ('H', 'S', 'V'), 0, 1)
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# Canny Heatmap
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self.drawCannyHM(img, 1, 1)
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if not part_update:
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self.drawCannyHM(img, 1, 1)
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# Show all data
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plt.show(block=False) ## Graphs
|
||||
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