#!/usr/bin/python3 import pathlib import pygubu import glob from tkinter import * from PIL import ImageTk, Image import numpy as np import cv2 import time import matplotlib.pyplot as plt PROJECT_PATH = pathlib.Path(__file__).parent PROJECT_UI = "./src/helpers/gui/main.ui" CONFIG_PATH = "./src/config/config.json" class MainApp: def __init__(self, master=None): self.builder = builder = pygubu.Builder() builder.add_resource_path(PROJECT_PATH) builder.add_from_file(PROJECT_UI) # Main widget self.mainwindow = builder.get_object("main", master) self.canvas = builder.get_object("output_canvas") self.tk_imgs = [] self.canny_thr1 = None self.canny_thr2 = None self.img_path = None self.img_current = 0 self.img_max = 0 # Plots self.axs = self.createPlot(2, 2) # UI self.blur_rate = None self.img_size = 100 self.sobel_select = None self.export_id = None builder.import_variables(self, ['canny_thr1', 'canny_thr2', 'img_path', 'blur_rate', 'img_size', 'sobel_select', 'export_id']) builder.connect_callbacks(self) def run(self): self.mainwindow.mainloop() def img_prev(self, event=None): if self.img_current == 0: self.img_current = self.img_max - 1 else: self.img_current = self.img_current - 1 self.update(self) def img_next(self, event=None): if self.img_current == (self.img_max - 1): self.img_current = 0 else: self.img_current = self.img_current + 1 self.update(self) def apply(self, event=None): img_arr = self.tk_imgs img_id = self.export_id.get() if (img_id >= 0 and img_id < len(img_arr)): print("export") else: print("Nothing to export!") def createPlot(self, columns, rows): fig, axs = plt.subplots(columns, rows) return axs def drawHist(self, image, labels, column, row): self.axs[column, row].clear() for i,lab in enumerate(labels): hist = cv2.calcHist( [image], [i], None, [256], [0, 256], ) self.axs[column, row].plot(hist, label=lab) self.axs[column, row].grid() self.axs[column, row].legend() def drawCannyHM(self, img, column, row): self.axs[column, row].clear() canny_max = 500 canny_step = 20 results = [[] for x in range((int)(canny_max / canny_step))] for th1 in range(0, canny_max, canny_step): for th2 in range(0, canny_max, canny_step): # Canny Edge Detection edges = cv2.Canny(image=img, threshold1=th1, threshold2=th2) w_res = cv2.countNonZero(edges) y_ind = (int)(th1 / canny_step) x_ind = (int)(th2 / canny_step) results[y_ind].append(w_res) # print(f"Result at thres {th1}, {th2}; \tIndex {y_ind}, {x_ind} \t= {w_res}") # print(results[y_ind]) self.axs[column, row].imshow(results) self.axs[column, row].xaxis.set_major_formatter(lambda x, pos: str(x*canny_step)) self.axs[column, row].yaxis.set_major_formatter(lambda x, pos: str(x*canny_step)) def update(self, event=None): path = self.img_path.get() print(path) drawW = self.canvas.winfo_width() drawX = 0 drawY = 0 if path != None and path != "": # Get all images at current path images = [] for file in glob.glob(path + "/*.png"): images.append(file) self.img_max = len(images) # Get all user vars ct1 = self.canny_thr1.get() ct2 = self.canny_thr2.get() br = self.blur_rate.get() sxy = self.sobel_select.get() size = self.img_size.get() # Keep array of cv2 images to output output = [] # Clear previously printed images self.tk_imgs = [] # Import and resize image img = cv2.imread(images[self.img_current]) img = cv2.resize(img, (size, size), interpolation = cv2.INTER_AREA) output.append(img) # First output image is original # Set grayscale img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) output.append(img_gray) # Second output is grayscale # Blurred edition if (br == 0): # Disable img_blur = img_gray elif (br % 2 == 1): img_blur = cv2.GaussianBlur(img_gray, (br, br), 0) else: print(f"Blur rate changed to {br - 1}") img_blur = cv2.GaussianBlur(img_gray, (br-1, br-1), 0) output.append(img_blur) # Sobel edge if sxy in ['x', 'y', 'both']: if sxy == 'x': dx = 1 dy = 0 elif sxy == 'y': dx = 0 dy = 1 elif sxy == 'both': dx = 1 dy = 1 img_sobel = cv2.Sobel(src=img_blur, ddepth=cv2.CV_8U, dx=dx, dy=dy, ksize=5) else: img_sobel = img_gray output.append(img_sobel) # Canny edge img_canny = cv2.Canny(image=img_blur,threshold1=ct1,threshold2=ct2) output.append(img_canny) # BGR 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) 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) self.drawCannyHM(img, 1, 1) plt.show(block=False) # 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() app.run()