如何在Python中将文本作为水印垂直打印到图像上

Muhammad Awais • 3 年前 • 1458 次点击

我这是我的密码

# Json file in which Easyocr anotations have saved.
img = cv2.imread('dummy.jpg')
img1 = img.copy()
#rotoated because anotation have according to vertical alignment of image i have matched the orientation
img1=cv2.rotate(img1,rotateCode=cv2.ROTATE_90_CLOCKWISE)
rects = []
with open('dummy.json') as jsn:
    jsn_dict = json.load(jsn)
for k in jsn_dict['textAnnotations']:
    vertices= k['boundingPoly']['vertices']
    cv2.rectangle(img1,list(vertices[2].values()),list(vertices[0].values()),[0,255,0],10)
# I want to put predicted text on top of bounding boxes vertically because my image is rotated anti clockwise
    cv2.putText(img1, k['description'], list(vertices[0].values()),cv2.FONT_HERSHEY_SIMPLEX,5,[0,255,0],5)

我在上面提到的代码中标记识别的文本, 第一步是,我将图像放入OCR模型,它根据图像返回一些值,其中每个检测到的文本有三个值。这些值是边界框的顶点、已识别的文本和精度百分比。但我的问题是,我的图像被Exif方向值旋转,但cv2将其读取为零角度,而我的文本是水平打印的。我想在图像上垂直打印文本。我试了很多次,但都没能解决我的问题。我希望我已经解释清楚了

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1458 次点击

文章 [ 2 ] | 最新文章 3 年前

• 1 楼

marcos 3 年前

将图像顺时针旋转90°,添加文本,然后将图像旋转回原始位置。

# Rotate 90Âº clockwise
img_rot = cv2.rotate(img1 , cv2.ROTATE_90_CLOCKWISE)
# Add your text here, adjusting x and y coordinates to the new orientation.
#   The new adjusted coordinates will be:
#   (x2, y2) = (original_height - y, x)
# [...]
# Rotate back
img1 = cv2.rotate(img_rot, cv2.ROTATE_90_CLOCKWISE)

• 2 楼

Souvik Ghosh 3 年前

试试这个

import cv2


def transparentOverlay(src, overlay, pos=(0, 0), scale=1):
"""
:param src: Input Color Background Image
:param overlay: transparent Image (BGRA)
:param pos:  position where the image to be blit.
:param scale : scale factor of transparent image.
:return: Resultant Image
"""
overlay = cv2.resize(overlay, (0, 0), fx=scale, fy=scale)
h, w, _ = overlay.shape  # Size of foreground
rows, cols, _ = src.shape  # Size of background Image
y, x = pos[0], pos[1]  # Position of foreground/overlay image

# loop over all pixels and apply the blending equation
for i in range(h):
    for j in range(w):
        if x + i >= rows or y + j >= cols:
            continue
        alpha = float(overlay[i][j][3] / 255.0)  # read the alpha channel
        src[x + i][y + j] = alpha * overlay[i][j][:3] + (1 - alpha) * src[x + i][y + j]
return src


def addImageWatermark(LogoImage,MainImage,opacity,pos=(10,100),):
opacity = opacity / 100

OriImg = cv2.imread(MainImage, -1)
waterImg = cv2.imread(LogoImage, -1)

tempImg = OriImg.copy()
print(tempImg.shape)

overlay = transparentOverlay(tempImg, waterImg, pos)
output = OriImg.copy()
# apply the overlay
cv2.addWeighted(overlay, opacity, output, 1 - opacity, 0, output)

cv2.imshow('Life2Coding', output)
cv2.waitKey(0)
cv2.destroyAllWindows()


if __name__ == '__main__':
addImageWatermark('./logo.png','./hanif.jpg',100,(10,100))

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