generated from Hazel/python-project
139 lines
4.5 KiB
Python
139 lines
4.5 KiB
Python
import sys
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import numpy as np
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import cv2
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from PyQt5.QtWidgets import (
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QApplication, QWidget, QLabel, QSlider, QVBoxLayout,
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QHBoxLayout, QGridLayout, QPushButton, QFileDialog
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)
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from PyQt5.QtCore import Qt
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from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
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from matplotlib.figure import Figure
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import os
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os.environ.pop("QT_QPA_PLATFORM_PLUGIN_PATH", None)
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def generate_kernel(radius, sigma=None):
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"""
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Generate a 2D Gaussian kernel with a given radius.
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Parameters:
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- radius: int, the radius of the kernel (size will be 2*radius + 1)
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- sigma: float (optional), standard deviation of the Gaussian. If None, sigma = radius / 3
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Returns:
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- kernel: 2D numpy array of shape (2*radius+1, 2*radius+1)
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"""
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size = 2 * radius + 1
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if sigma is None:
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sigma = radius / 3.0 # Common default choice
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print(f"radius: {radius}, sigma: {sigma}")
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# Create a grid of (x,y) coordinates
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ax = np.arange(-radius, radius + 1)
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xx, yy = np.meshgrid(ax, ax)
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# Apply the 2D Gaussian formula
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kernel = np.exp(-(xx**2 + yy**2) / (2 * sigma**2))
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kernel /= 2 * np.pi * sigma**2 # Normalize based on Gaussian PDF
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kernel /= kernel.sum() # Normalize to sum to 1
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return kernel
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class KernelVisualizer(QWidget):
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def __init__(self):
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super().__init__()
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self.setWindowTitle("Gaussian Kernel Visualizer")
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self.image = None
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self.load_button = QPushButton("Load Image")
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self.load_button.clicked.connect(self.load_image)
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self.radius_slider = QSlider(Qt.Horizontal)
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self.radius_slider.setRange(1, 30)
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self.radius_slider.setValue(5)
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self.sigma_slider = QSlider(Qt.Horizontal)
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self.sigma_slider.setRange(1, 100)
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self.sigma_slider.setValue(15)
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self.radius_slider.valueChanged.connect(self.update_visualization)
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self.sigma_slider.valueChanged.connect(self.update_visualization)
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self.kernel_fig = Figure(figsize=(3, 3))
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self.kernel_canvas = FigureCanvas(self.kernel_fig)
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self.image_fig = Figure(figsize=(6, 3))
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self.image_canvas = FigureCanvas(self.image_fig)
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layout = QVBoxLayout()
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layout.addWidget(self.load_button)
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sliders_layout = QGridLayout()
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sliders_layout.addWidget(QLabel("Radius:"), 0, 0)
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sliders_layout.addWidget(self.radius_slider, 0, 1)
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sliders_layout.addWidget(QLabel("Sigma:"), 1, 0)
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sliders_layout.addWidget(self.sigma_slider, 1, 1)
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layout.addLayout(sliders_layout)
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layout.addWidget(QLabel("Kernel Visualization:"))
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layout.addWidget(self.kernel_canvas)
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layout.addWidget(QLabel("Original and Blurred Image:"))
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layout.addWidget(self.image_canvas)
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self.setLayout(layout)
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self.update_visualization()
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def load_image(self):
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fname, _ = QFileDialog.getOpenFileName(self, "Open Image", "", "Images (*.png *.jpg *.bmp *.jpeg)")
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if fname:
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img = cv2.imread(fname)
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if img is not None:
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self.image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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self.update_visualization()
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def update_visualization(self):
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radius = self.radius_slider.value()
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sigma = self.sigma_slider.value() / 10.0
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kernel = generate_kernel(radius, sigma)
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# Kernel Visualization
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self.kernel_fig.clear()
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ax = self.kernel_fig.add_subplot(111)
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cax = ax.imshow(kernel, cmap='hot')
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self.kernel_fig.colorbar(cax, ax=ax)
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ax.set_title(f"Kernel (r={radius}, σ={sigma:.2f})")
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self.kernel_canvas.draw()
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if self.image is not None:
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kernel_size = 2 * radius + 1
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blurred = cv2.GaussianBlur(self.image, (kernel_size, kernel_size), sigma)
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self.image_fig.clear()
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ax1 = self.image_fig.add_subplot(121)
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ax1.imshow(self.image, cmap='gray')
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ax1.set_title("Original")
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ax1.axis('off')
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ax2 = self.image_fig.add_subplot(122)
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ax2.imshow(blurred, cmap='gray')
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ax2.set_title("Blurred")
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ax2.axis('off')
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self.image_canvas.draw()
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else:
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self.image_fig.clear()
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ax = self.image_fig.add_subplot(111)
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ax.text(0.5, 0.5, "No image loaded", fontsize=14, ha='center', va='center')
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ax.axis('off')
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self.image_canvas.draw()
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if __name__ == "__main__":
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app = QApplication(sys.argv)
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viewer = KernelVisualizer()
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viewer.show()
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sys.exit(app.exec_())
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