PrimaryFormParts/PrimaryForm.Favorite.cs

@@ -58,7 +58,7 @@ namespace DualScreenDemo
 
                 
                 string fileName = (i + 2).ToString("00");  
-                string filePath = Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛-" + fileName + ".jpg");
+                string filePath = Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛-" + fileName + ".png");
                 favoriteNumberButton[i].BackgroundImage = Image.FromFile(filePath);
                 favoriteNumberButton[i].BackgroundImageLayout = ImageLayout.Stretch;
                 favoriteNumberButton[i].FlatStyle = FlatStyle.Flat;
@@ -90,7 +90,7 @@ namespace DualScreenDemo
                 Name = "enterFavoriteButton"
             };
             ResizeAndPositionButton(enterFavoriteButton, 842, 652, 70, 65);
-            enterFavoriteButton.BackgroundImage = Image.FromFile(Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛-12.jpg"));
+            enterFavoriteButton.BackgroundImage = Image.FromFile(Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛-12.png"));
             enterFavoriteButton.BackgroundImageLayout = ImageLayout.Stretch;
             enterFavoriteButton.FlatStyle = FlatStyle.Flat;
             enterFavoriteButton.FlatAppearance.BorderSize = 0; 
@@ -105,7 +105,7 @@ namespace DualScreenDemo
                 Name = "newFavoriteButton"
             };
             ResizeAndPositionButton(newFavoriteButton, 921, 652, 70, 65);
-            newFavoriteButton.BackgroundImage = Image.FromFile(Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛-13.jpg"));
+            newFavoriteButton.BackgroundImage = Image.FromFile(Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛-13.png"));
             newFavoriteButton.BackgroundImageLayout = ImageLayout.Stretch;
             newFavoriteButton.FlatStyle = FlatStyle.Flat;
             newFavoriteButton.FlatAppearance.BorderSize = 0; 
@@ -120,7 +120,7 @@ namespace DualScreenDemo
                 Name = "refillFavoriteButton"
             };
             ResizeAndPositionButton(refillFavoriteButton, 999, 652, 70, 65);
-            refillFavoriteButton.BackgroundImage = Image.FromFile(Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛-14.jpg"));
+            refillFavoriteButton.BackgroundImage = Image.FromFile(Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛-14.png"));
             refillFavoriteButton.BackgroundImageLayout = ImageLayout.Stretch;
             refillFavoriteButton.FlatStyle = FlatStyle.Flat;
             refillFavoriteButton.FlatAppearance.BorderSize = 0; 
@@ -135,7 +135,7 @@ namespace DualScreenDemo
                 Name = "closeFavoriteButton"
             };
             ResizeAndPositionButton(closeFavoriteButton, 1078, 652, 70, 65);
-            closeFavoriteButton.BackgroundImage = Image.FromFile(Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛-15.jpg"));
+            closeFavoriteButton.BackgroundImage = Image.FromFile(Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛-15.png"));
             closeFavoriteButton.BackgroundImageLayout = ImageLayout.Stretch;
             closeFavoriteButton.FlatStyle = FlatStyle.Flat;
             closeFavoriteButton.FlatAppearance.BorderSize = 0; 
@@ -320,7 +320,7 @@ namespace DualScreenDemo
             if (!FavoritePictureBox.Visible)
             {
                 
-                ShowImageOnFavoritePictureBox(Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛_工作區域.jpg"));
+                ShowImageOnFavoritePictureBox(Path.Combine(Application.StartupPath, @"themes\superstar\我的最愛\我的最愛_工作區域.png"));
                 SetFavoritePictureBoxAndButtonsVisibility(true);
             }
             else
@@ -352,7 +352,7 @@ namespace DualScreenDemo
                 FavoritePictureBox.Image = image;
 
                 // 設定 PictureBox 的大小與位置（依你的需要調整）
-                ResizeAndPositionPictureBox(FavoritePictureBox, 773, 380, (int)(image.Width * 0.8f) , (int)(image.Height * 0.8f));
+                ResizeAndPositionPictureBox(FavoritePictureBox, 773, 380, image.Width, image.Height);
 
                 FavoritePictureBox.Visible = true;
             }

bin/mainlog.txt

@@ -133,3 +133,15 @@
    於 DualScreenDemo.PrimaryForm.InitializeFormAndControls()
    於 DualScreenDemo.PrimaryForm..ctor()
    於 DualScreenDemo.Program.Main()
+[2025/5/12 上午 11:32:58] System.IO.FileNotFoundException: E:\jasonchen\superstar\bin\themes\superstar\我的最愛\我的最愛-02.png
+   於 System.Drawing.Image.FromFile(String filename, Boolean useEmbeddedColorManagement)
+   於 DualScreenDemo.PrimaryForm.InitializeButtonsForFavoritePictureBox()
+   於 DualScreenDemo.PrimaryForm.InitializeFormAndControls()
+   於 DualScreenDemo.PrimaryForm..ctor()
+   於 DualScreenDemo.Program.Main()
+[2025/5/12 上午 11:35:17] System.IO.FileNotFoundException: E:\jasonchen\superstar\bin\themes\superstar\我的最愛\我的最愛-12.png
+   於 System.Drawing.Image.FromFile(String filename, Boolean useEmbeddedColorManagement)
+   於 DualScreenDemo.PrimaryForm.InitializeButtonsForFavoritePictureBox()
+   於 DualScreenDemo.PrimaryForm.InitializeFormAndControls()
+   於 DualScreenDemo.PrimaryForm..ctor()
+   於 DualScreenDemo.Program.Main()

bin/themes/superstar/py/test.py

@@ -1,33 +0,0 @@
-import cv2
-import numpy as np
-
-# Load the image
-image_path = 'toggle_light.jpg'
-image = cv2.imread(image_path)
-
-# Convert to grayscale
-gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
-
-# Set threshold for non-white color
-# Note: Adjust the threshold values based on your image's specific conditions
-upper_threshold = 220  # Anything below this will be considered as non-white
-
-# Create a mask for non-white regions (below the threshold value)
-mask = cv2.inRange(gray, 0, upper_threshold)
-
-# Find contours from the mask
-contours, hierarchy = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-
-# Draw contours or compute bounding boxes
-for contour in contours:
-    # Calculate the bounding rectangle for each non-white region
-    x, y, w, h = cv2.boundingRect(contour)
-    print(f"Bounding box coordinates: X: {x}, Y: {y}, Width: {w}, Height: {h}")
-
-    # Optional: Draw the bounding box on the original image
-    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
-
-# Display the results
-cv2.imshow('Image with Bounding Boxes', image)
-cv2.waitKey(0)
-cv2.destroyAllWindows()

bin/themes/superstar/py/test2.py

@@ -1,80 +0,0 @@
-import cv2
-import numpy as np
-
-# 初始化坐标点
-roi_pts = []
-drawing = False # True if the mouse is pressed down
-
-# 鼠标回调函数
-def select_roi(event, x, y, flags, param):
-    global roi_pts, drawing
-    
-    # 当按下左键是记录起始位置坐标
-    if event == cv2.EVENT_LBUTTONDOWN:
-        drawing = True
-        roi_pts = [(x, y)]
-
-    # 当鼠标左键按下并移动是绘制图形
-    elif event == cv2.EVENT_MOUSEMOVE:
-        if drawing == True:
-            temp_image = param.copy()
-            cv2.rectangle(temp_image, roi_pts[0], (x, y), (0, 255, 0), 2)
-            cv2.imshow('image', temp_image)
-
-    # 当松开鼠标左键停止绘画
-    elif event == cv2.EVENT_LBUTTONUP:
-        drawing = False
-        roi_pts.append((x, y))
-        cv2.rectangle(param, roi_pts[0], (x, y), (0, 255, 0), 2)
-        cv2.imshow('image', param)
-
-# 读取图像
-image = cv2.imread('555024.jpg')
-image_copy = image.copy()
-cv2.namedWindow('image')
-cv2.setMouseCallback('image', select_roi, image)
-
-# Keep looping until the 'q' key is pressed
-while True:
-    cv2.imshow('image', image)
-    key = cv2.waitKey(1) & 0xFF
-    
-    # 按下'r'重置选择区域
-    if key == ord('r'):
-        image = image_copy.copy()
-        roi_pts = []
-
-    # 按下'q'退出循环
-    elif key == ord('q'):
-        break
-
-# 关闭所有打开的窗口
-cv2.destroyAllWindows()
-
-# 如果选择了区域，那么进行黄色检测
-if len(roi_pts) == 2:
-    roi = image_copy[roi_pts[0][1]:roi_pts[1][1], roi_pts[0][0]:roi_pts[1][0]]
-    hsv_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)
-    lower_yellow = np.array([20, 100, 100])
-    upper_yellow = np.array([30, 255, 255])
-    mask = cv2.inRange(hsv_roi, lower_yellow, upper_yellow)
-    
-    # 在掩码上找出轮廓
-    contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-
-    # 如果有轮廓则找出最大的轮廓
-    if contours:
-        max_contour = max(contours, key=cv2.contourArea)
-        x, y, w, h = cv2.boundingRect(max_contour)
-        cv2.rectangle(roi, (x, y), (x+w, y+h), (0, 255, 0), 2)
-        print(f"Yellow area at X: {x}, Y: {y}, W: {w}, H: {h}")
-        
-        # 将边界框位置映射回原始图像
-        x += roi_pts[0][0]
-        y += roi_pts[0][1]
-        cv2.rectangle(image_copy, (x, y), (x+w, y+h), (0, 255, 0), 2)
-        print(f"Yellow area at X: {x}, Y: {y}, W: {w}, H: {h}")
-    
-    cv2.imshow('Detected Yellow Area in ROI', image_copy)
-    cv2.waitKey(0)
-    cv2.destroyAllWindows()

bin/themes/superstar/py/test3.py

@@ -1,55 +0,0 @@
-import cv2
-import numpy as np
-import os
-
-# 使用絕對路徑
-image_path = 'image.jpg'
-# if not os.path.exists(image_path):
-#     print("File does not exist:", image_path)
-# else:
-#     print("File exists, attempting to load...")
-image = cv2.imread(image_path)
-
-if image is None:
-    print("But failed to load.")
-else:
-    print("Image loaded successfully, processing...")
-
-# Convert to HSV color space
-hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
-
-# Define the range for yellow color in HSV
-# Adjust these ranges based on your specific yellow color and lighting conditions
-lower_yellow = np.array([20, 100, 100])
-upper_yellow = np.array([30, 255, 255])
-lower_pink = np.array([140, 100, 100])
-upper_pink = np.array([170, 255, 255])
-lower_purple = np.array([129, 50, 50])  # Lower bound of purple
-upper_purple = np.array([158, 255, 255])  # Upper bound of purple
-lower_blue = np.array([110, 50, 50])  # Lower bound of blue
-upper_blue = np.array([130, 255, 255])  # Upper bound of blue
-lower_blue_violet = np.array([120, 50, 50])  # Lower bound of blue-violet
-upper_blue_violet = np.array([160, 255, 255])  # Upper bound of blue-violet
-lower_red2 = np.array([170, 100, 100])
-upper_red2 = np.array([180, 255, 255])
-
-# Create a mask for yellow color
-mask = cv2.inRange(hsv, lower_pink, upper_pink)
-
-# Find contours on the mask
-contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-
-# Draw all contours
-for contour in contours:
-    x, y, w, h = cv2.boundingRect(contour)
-    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
-    coordinates_text = f"X: {x}, Y: {y}, W: {w}, H: {h}"
-    # if w > 100:
-    print(coordinates_text)
-    # Display coordinates on the image
-    cv2.putText(image, coordinates_text, (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 1)
-
-# Show the image with all bounding boxes drawn
-cv2.imshow('Image with yellow contours', image)
-cv2.waitKey(0)
-cv2.destroyAllWindows()

bin/themes/superstar/py/test4.py

@@ -1,40 +0,0 @@
-import cv2
-import numpy as np
-
-def detect_light_areas(image_path):
-    # 讀取圖片
-    image = cv2.imread(image_path)
-    if image is None:
-        print("Failed to load image.")
-        return
-    
-    # 將圖片從 BGR 轉換到 HSV 色彩空間
-    hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
-    
-    # 設定 HSV 閾值範圍來選取淺色區域
-    lower_hsv = np.array([0, 0, 70])  # 較低的 HSV 閾值
-    upper_hsv = np.array([180, 50, 255])  # 較高的 HSV 閾值
-    
-    # 創建遮罩
-    mask = cv2.inRange(hsv, lower_hsv, upper_hsv)
-    
-    # 找到遮罩上的輪廓
-    contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-    
-    # 在原始圖片上畫框
-    for contour in contours:
-        x, y, w, h = cv2.boundingRect(contour)
-        cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)  # 綠色方框，2像素寬
-        text = f"X:{x} Y:{y} W:{w} H:{h}"
-        if w < 40 or h < 40:
-            continue
-        cv2.putText(image, text, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 2)  # 白色文字
-    
-    # 顯示原圖和結果
-    cv2.imshow('Original', image)
-    # cv2.imshow('Light Areas Detected', mask)  # 顯示遮罩
-    cv2.waitKey(0)
-    cv2.destroyAllWindows()
-
-# 使用上面的函數
-detect_light_areas('555011.jpg')  # 請更換為實際的圖片路徑

bin/themes/superstar/py/test5.py

@@ -1,30 +0,0 @@
-import cv2
-import numpy as np
-
-# Load the image
-image_path = '555020.jpg'  # replace with your image path
-image = cv2.imread(image_path)
-
-# Convert to grayscale
-gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
-
-# Apply thresholding to get binary image
-_, binary = cv2.threshold(gray, 240, 255, cv2.THRESH_BINARY)
-
-# Find contours of the white regions
-contours, _ = cv2.findContours(binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-
-# Draw contours on the original image (optional, for visualization)
-for contour in contours:
-    cv2.drawContours(image, [contour], -1, (0, 255, 0), 2)
-
-# Print positions of the white regions
-for i, contour in enumerate(contours):
-    x, y, w, h = cv2.boundingRect(contour)
-    if w > 100:
-        print(f"White region {i+1}: x={x}, y={y}, width={w}, height={h}")
-
-# Show the image with contours (optional, for visualization)
-cv2.imshow('White regions', image)
-cv2.waitKey(0)
-cv2.destroyAllWindows()

bin/themes/superstar/py/test6.py

@@ -1,25 +0,0 @@
-from PIL import Image
-
-def change_image_dpi(input_path, output_path, new_dpi):
-    # 打开图像
-    image = Image.open(input_path)
-    
-    # 获取当前的dpi值（如果有）
-    dpi = image.info.get('dpi', (72, 72))
-    print(f"当前DPI: {dpi}")
-    
-    # 保存图像并设置新的dpi值
-    image.save(output_path, dpi=(new_dpi, new_dpi))
-    print(f"DPI已更改为: {new_dpi}")
-
-# 输入图像路径
-input_image_path = "image.jpg"
-
-# 输出图像路径
-output_image_path = "image.jpg"
-
-# 目标DPI
-new_dpi = 96
-
-# 调用函数
-change_image_dpi(input_image_path, output_image_path, new_dpi)