Claire's Blog

import math

x1, y1 = 1, 2
x2, y2 = 3, 4

distance = math.hypot(x2 - x1, y2 - y1)
print(distance)

import numpy as np

x1, y1 = 1, 2
x2, y2 = 3, 4

distance = np.sqrt((x2 - x1)**2 + (y2 - y1)**2)
print(distance)

import cv2
import numpy as np
import math

base_x = 100
base_y = 100
width = 100
height = 50
angle = 45

# 計算長方形中心點座標
center_x = base_x + (width // 2)
center_y = base_y + (height // 2)

# 將角度轉換為弧度
angle_rad = math.radians(angle)

# 計算長方形四個角的相對座標
cos_val = math.cos(angle_rad)
sin_val = math.sin(angle_rad)
x = width / 2
y = height / 2

# 計算四個角點座標
point1 = (int(center_x - x * cos_val + y * sin_val), int(center_y - x * sin_val - y * cos_val))
point2 = (int(center_x + x * cos_val + y * sin_val), int(center_y + x * sin_val - y * cos_val))
point3 = (int(center_x + x * cos_val - y * sin_val), int(center_y + x * sin_val + y * cos_val))
point4 = (int(center_x - x * cos_val - y * sin_val), int(center_y - x * sin_val + y * cos_val))

print("Point 1:", point1)
print("Point 2:", point2)
print("Point 3:", point3)
print("Point 4:", point4)

# 創建空白影像
image = np.zeros((500, 500, 3), dtype=np.uint8)

# 轉換座標為Numpy陣列
pts = np.array([point1, point2, point3, point4], dtype=np.int32)

# 繪製多邊形
cv2.polylines(image, [pts], True, (0, 255, 0), thickness=2)

# 顯示結果
cv2.imshow('Rectangle', image)
cv2.waitKey(0)
cv2.destroyAllWindows()

_, intersection = cv2.pointPolygonTest(rect3, tuple(line1_midpoint), measureDist=False)

import cv2
import numpy as np

# 定義長方形的四個角點
rect1 = np.array([[100, 100], [300, 100], [300, 200], [100, 200]])

# 創建空白影像
image = np.zeros((500, 500, 3), dtype=np.uint8)

# 繪製長方形
cv2.polylines(image, [rect1], True, (0, 255, 0), thickness=2)

# 顯示結果
cv2.imshow('Image', image)
cv2.waitKey(0)
cv2.destroyAllWindows()

import cv2

# 讀取圖像
image = cv2.imread('your_image.jpg')

# 將圖像旋轉90度
rotated_image = cv2.rotate(image, cv2.ROTATE_90_CLOCKWISE)

# 顯示旋轉後的圖像
cv2.imshow('Rotated Image', rotated_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

dst = cv2.flip(src, flipCode[, dst])

import cv2

image = cv2.imread('./333_2023-06-08_19-57-30.jpg')
canny = cv2.Canny(image , 50, 250)
cnts, hier = cv2.findContours(canny , cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# 執行最小橢圓擬合
ellipse = cv2.fitEllipse(cnts[0])
(center, axes, angle) = ellipse
cv2.ellipse(image, ellipse, (0, 255, 0), 2)
# 顯示結果
cv2.imshow('image', image)
cv2.waitKey(0)
cv2.destroyAllWindows()

def rotatedDice(image, cnt):
    # 取得最小擬合橢圓並對圖像做翻轉
    ellipse = cv2.fitEllipse(cnt)
    (center, axes, angle) = ellipse
    angle = angle + 90
    rotation_matrix = cv2.getRotationMatrix2D(tuple(center), angle, 1)
    image = cv2.warpAffine(image, rotation_matrix,(image.shape[1], image.shape[0]))
    # 計算裁切位置
    mark = np.zeros_like(image)
    cv2.drawContours(mark, [cnt], 0, (255, 255, 255), -1)
    mark = cv2.warpAffine(mark, rotation_matrix,(mark.shape[1], mark.shape[0]))
    mark = cv2.cvtColor(mark, cv2.COLOR_RGB2GRAY)
    cnts, hier = cv2.findContours(mark, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    x, y, w, h = cv2.boundingRect(cnts[0])
    matting_result = image[y:y+h,x:x+w,:]
    return matting_result

import cv2
import numpy as np

# 定義三個點的坐標
point1 = (106, 92)
point2 = (28, 91)
point3 = (154, 33)

# 定義旋轉角度
rotation_angle = -45

# 創建一個空白圖像
image = np.zeros((500, 500), dtype=np.uint8)

# 在圖像上繪製三角形
cv2.drawContours(image, [np.array([point1, point2, point3])], 0, (255), thickness=2)

# 計算旋轉中心
center = np.mean([point1, point2, point3], axis=0)

# 構建旋轉矩陣
rotation_matrix = cv2.getRotationMatrix2D(tuple(center), rotation_angle, 1)

# 對整個圖像進行旋轉
rotated_image = cv2.warpAffine(image, rotation_matrix, (image.shape[1], image.shape[0]))

# 顯示旋轉後的圖像
cv2.imshow("Rotated Image", rotated_image)
cv2.waitKey(0)
cv2.destroyAllWindows()