This commit is contained in:
Tom Selier 2023-09-28 10:01:55 +02:00
commit a8c7581fac
10 changed files with 143 additions and 44 deletions

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@ -1,4 +1,5 @@
{
"path": "",
"out": "",
"size": 750
}

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@ -16,53 +16,68 @@ def histNormalize(hist):
for i in range(len(hist)):
hist[i][0] = (hist[i][0] - min_val)/(max_val - min_val)
DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\EV5_Beeldherk_Bomen\\res\\trees\\"
SAVE_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\EV5_Beeldherk_Bomen\\res\\essay\\"
IMAGE = "berk_sq1_original.png"
# DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\snake-vault\\TREES\\dataset\\"
# full_img = cv2.imread(DATASET_PATH + "alder\\1.jpg", 1)
full_img = cv2.imread(DATASET_PATH + IMAGE, 1)
assert full_img is not None, "Path is wrong: " + DATASET_PATH + IMAGE
DATASET_PATH = "..\\..\\..\\res\\trees\\"
full_img = cv2.imread(DATASET_PATH + "berk_sq1_original.png", 1)
assert full_img is not None, "Path is wrong"
bgr_img = cv2.resize(full_img, (0, 0), fx=0.25, fy=0.25)
hsv_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV)
# cv2.imshow('BGR',bgr_img)
# cv2.imshow('HSV',hsv_img)
# cv2.imshow('HSV - H',hsv_img[:, :, 0])
# cv2.imshow('HSV - S',hsv_img[:, :, 1])
# cv2.imshow('HSV - V',hsv_img[:, :, 2])
cv2.imshow('BGR', bgr_img)
BGR = np.concatenate((bgr_img[:, :, 0], bgr_img[:, :, 1], bgr_img[:, :, 2]),
axis=1)
cv2.imshow("BGR - Expanded", BGR)
cv2.imshow('HSV', hsv_img)
HSV = np.concatenate((hsv_img[:, :, 0], hsv_img[:, :, 1], hsv_img[:, :, 2]),
axis=1)
cv2.imshow("HSV - Expanded", HSV)
cv2.imwrite(SAVE_PATH + "2-5-1_bgr.png", bgr_img)
cv2.imwrite(SAVE_PATH + "2-5-1_bgr_expanded.png", BGR)
cv2.imwrite(SAVE_PATH + "2-5-1_hsv.png", hsv_img)
cv2.imwrite(SAVE_PATH + "2-5-1_hsv_expanded.png", HSV)
print("BGR")
mean, std = imgStats(bgr_img)
print(mean)
print(std)
print()
mean, std = imgStats(hsv_img)
print(mean)
print(std)
print()
cv2.waitKey(0)
cv2.destroyAllWindows()
hist = cv2.calcHist([bgr_img], [0], None, [256], [0,256])
plt.plot(hist, label='B', c='b')
hist = cv2.calcHist([bgr_img], [1], None, [256], [0,256])
plt.plot(hist, label='G', c='g')
hist = cv2.calcHist([bgr_img], [2], None, [256], [0,256])
plt.plot(hist, label='R', c='r')
plt.title("BGR histogram")
plt.xlabel("Waarde van pixels [0-255]")
plt.ylabel("Hoeveelheid pixels")
plt.grid()
plt.legend()
plt.show()
print("HSV")
mean, std = imgStats(hsv_img)
print(mean)
print(std)
hist = cv2.calcHist([hsv_img], [0], None, [256], [0,256])
plt.plot(hist, label='H')
hist = cv2.calcHist([hsv_img], [1], None, [256], [0,256])
plt.plot(hist, label='S')
hist = cv2.calcHist([hsv_img], [2], None, [256], [0,256])
plt.plot(hist, label='V')
plt.title("HSV histogram")
plt.xlabel("Waarde van pixels [0-255]")
plt.ylabel("Hoeveelheid pixels")
plt.grid()
plt.legend()
plt.show()
cv2.waitKey(0)
cv2.destroyAllWindows()
plt.show()

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@ -192,12 +192,12 @@
</child>
<child>
<object class="ttk.Button" id="button3">
<property name="text" translatable="yes">Useless button</property>
<property name="text" translatable="yes">Export PNG</property>
<bind sequence="&lt;ButtonPress&gt;" handler="apply" add="" />
<layout manager="grid">
<property name="column">2</property>
<property name="columnspan">1</property>
<property name="ipadx">0</property>
<property name="ipadx">10</property>
<property name="row">7</property>
<property name="rowspan">1</property>
</layout>
@ -215,7 +215,7 @@
</child>
<child>
<object class="ttk.Label" id="label1">
<property name="text" translatable="yes">Useless imput</property>
<property name="text" translatable="yes">Export Image by ID</property>
<layout manager="grid">
<property name="column">1</property>
<property name="columnspan">2</property>
@ -228,8 +228,10 @@
<property name="height">15</property>
<property name="pady">0</property>
<property name="selectborderwidth">4</property>
<property name="setgrid">false</property>
<property name="state">disabled</property>
<property name="text" translatable="yes">Image metadata should appear here</property>
<property name="takefocus">true</property>
<property name="text" translatable="yes">Image IDs should appear here</property>
<property name="width">25</property>
<property name="wrap">word</property>
<layout manager="grid">
@ -282,6 +284,28 @@
</layout>
</object>
</child>
<child>
<object class="ttk.Button" id="export_all" named="True">
<property name="text" translatable="yes">Export ID for entire dataset</property>
<bind sequence="&lt;ButtonRelease&gt;" handler="apply_all" add="" />
<layout manager="grid">
<property name="column">1</property>
<property name="columnspan">2</property>
<property name="ipadx">30</property>
<property name="row">8</property>
</layout>
</object>
</child>
<child>
<object class="ttk.Label" id="label2">
<property name="font">TkIconFont</property>
<property name="text" translatable="yes">Powered by ARNweb.nl &amp; TomSelier.com</property>
<layout manager="grid">
<property name="column">0</property>
<property name="row">8</property>
</layout>
</object>
</child>
</object>
</child>
<child>

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@ -10,6 +10,9 @@ import time
import matplotlib.pyplot as plt
import json
from helpers.statistics import imgStats
import datetime
import os
import copy
## UI config load
PROJECT_PATH = pathlib.Path(__file__).parent
@ -38,6 +41,7 @@ class MainApp:
# Keep track of images in dataset
self.img_current = 0
self.img_old = -1
self.img_max = 0
# Plots
@ -48,12 +52,14 @@ class MainApp:
self.canny_thr2 = None
self.img_path = None
self.contrast = None
self.img_size = None
self.img_size_old = 0 ## Check if the rendering size has changed, if it has the analysis has to be run
self.sobel_select = None
self.export_id = None
self.brightness = None
builder.import_variables(self,['canny_thr1','canny_thr2','img_path','contrast','img_size','sobel_select','export_id','brightness'])
builder.connect_callbacks(self)
# Load values from config after UI has been initialised
@ -93,17 +99,53 @@ class MainApp:
self.img_current = self.img_current + 1
self.update(self)
def apply(self, event=None):
def apply(self, event=None, path=None):
'''
Export current dataset
'''
# Get export settings
img_arr = self.tk_imgs
img_id = self.export_id.get()
if path == None:
path = config_json["out"]
else:
print(F"Using path: {path}")
if (img_id >= 0 and img_id < len(img_arr)):
print("export")
if (img_id >= 0 and img_id < len(img_arr)):
# Create file
now = datetime.datetime.now()
new_file_name = F"{self.img_current}-{self.output[1][img_id]}-{now.strftime('%Y-%m-%dT%H.%M.%S')}.png"
# Put data
file_path = pathlib.Path(path, new_file_name)
# print(file_path)
imgpil = ImageTk.getimage(self.tk_imgs[img_id])
imgpil.save(file_path, "PNG" )
imgpil.close()
print(f"Exported Image ID {img_id} to {os.path.join(path, new_file_name)}")
else:
print("Nothing to export!")
def apply_all(self, event=None):
img_id = self.export_id.get()
img_current = copy.deepcopy(self.img_current)
now = datetime.datetime.now()
path = pathlib.Path(config_json["out"], F"{self.output[1][img_id]}-all-{now.strftime('%Y-%m-%dT%H.%M.%S')}/")
os.mkdir(path)
while True:
self.img_next()
self.update(part_update=True) # Enforce partial update since we don't need the histograms etc.
self.apply(path=path)
if (self.img_current == img_current):
break
## Ensure display is always correct with image
self.update()
def add_output(self, data, name: str):
'''
@ -146,7 +188,6 @@ class MainApp:
self.meta.insert(END, F"{idx}: {self.output[1][idx]}\n")
# Clear output
self.output = [[] for x in range(2)]
self.meta.config(state=DISABLED)
# Draw canvas
@ -204,9 +245,20 @@ class MainApp:
%(labels[0], mean[0], labels[1], mean[1], labels[2], mean[2],
labels[0], std[0], labels[1], std[1], labels[2], std[2]))
def update(self, event=None):
def update(self, event=None, part_update=False):
path = self.img_path.get()
## Check if hist and canny hm have to be rerendered
if not part_update: ## If partial update has not been forced, check if full update is required
if (self.img_current != self.img_old or self.img_size != self.img_size_old):
part_update = False
self.img_old = self.img_current
self.img_size_old = self.img_size
else:
part_update = True
else:
print("Partial update forced!")
if path != None and path != "":
# Get all images at current path
images = []
@ -223,6 +275,9 @@ class MainApp:
contrast = self.contrast.get()
bright = self.brightness.get()
# Clear output
self.output = [[] for x in range(2)]
# Import and resize image
img = cv2.imread(images[self.img_current])
img = cv2.resize(img, (size, size), interpolation = cv2.INTER_AREA)
@ -236,11 +291,12 @@ class MainApp:
contrast_val = contrast / 100
bright_val = bright / 100
img_contrast = np.clip(contrast_val * (img_gray + bright_val), 0, 255).astype(np.uint8)
self.add_output(img_contrast, F"Contrast / Brightness\n c+{contrast_val} b+{bright_val}")
# self.add_output(img_contrast, F"Contrast / Brightness\n c+{contrast_val} b+{bright_val}")
self.add_output(img_contrast, F"BCG")
# Blurred edition
img_blur = cv2.GaussianBlur(img_gray, (3, 3), 0)
self.add_output(img_blur, "Blurred (3)")
self.add_output(img_blur, "Blurred_k3")
# Sobel edge
if sxy in ['x', 'y', 'both']:
@ -257,17 +313,18 @@ class MainApp:
img_sobel = cv2.Sobel(src=img_blur, ddepth=cv2.CV_8U, dx=dx, dy=dy, ksize=5)
else:
img_sobel = img_gray
self.add_output(img_sobel, F"Sobel Edge\n nz={cv2.countNonZero(img_sobel)}")
self.add_output(img_sobel, "Sobel_edge")
# self.add_output(img_sobel, F"Sobel Edge\n nz={cv2.countNonZero(img_sobel)}")
# Canny edge
img_canny = cv2.Canny(image=img_blur,threshold1=ct1,threshold2=ct2)
self.add_output(img_canny, "Canny Edge")
self.add_output(img_canny, "Canny_edge")
self.writeStats(img, ('B', 'G', 'R'), 0, 0)
# BGR
self.add_output(img[:, :, 0], "BGR B")
self.add_output(img[:, :, 1], "BGR G")
self.add_output(img[:, :, 2], "BGR R")
self.add_output(img[:, :, 0], "BGR_B")
self.add_output(img[:, :, 1], "BGR_G")
self.add_output(img[:, :, 2], "BGR_R")
if img is not None:
self.drawHist(img, ('B', 'G', 'R'), 0, 0)
@ -275,16 +332,18 @@ class MainApp:
# 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
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
if img_hsv is not None:
self.drawHist(img_hsv, ('H', 'S', 'V'), 0, 1)
self.writeStats(img_hsv, ('H', 'S', 'V'), 0, 1)
if not part_update:
if img_hsv is not None:
self.drawHist(img_hsv, ('H', 'S', 'V'), 0, 1)
self.writeStats(img_hsv, ('H', 'S', 'V'), 0, 1)
# Canny Heatmap
self.drawCannyHM(img, 1, 1)
if not part_update:
self.drawCannyHM(img, 1, 1)
# Show all data
plt.show(block=False) ## Graphs