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AI Graphics Toolkit

Project description


import cv2  
import graphics as g

1.1 场景图识别

cl = g.Classifier(model_name="../models/classifier.pth", ctx_id=-1)  
src = cv2.imread('27.png', cv2.IMREAD_UNCHANGED)  
label = cl.predict(src)

1.2 场景图裁剪

src = cv2.imread('27.png', cv2.IMREAD_UNCHANGED)  
ic = g.ImageCrop(model_name="../models/basnet.pth", ctx_id=-1)    
bbox = ic.crop_margin(src, (1000, 1000))  
image = ic.crop_image(src, (1000, 1000)) 

1.3 白底图/透明图裁剪

src = cv2.imread('27.png', cv2.IMREAD_UNCHANGED)    
bbox = g.Graphics.crop_margin(src, threshold1=15, threshold2=55)
dst = src[bbox[0]:bbox[1] + 1, bbox[2]:bbox[3] + 1]

1.4 白底图/透明图增加边框

src = cv2.imread('27.png', cv2.IMREAD_UNCHANGED) 
dst = g.Graphics.add_border(src, [10, 10, 40, 40], (255, 255, 255))

1.5 商品图倒影特效

src = cv2.imread('27.png', cv2.IMREAD_UNCHANGED)  
image = g.Graphics.layer_reflection(src, top=0, down=0.3, transparency=0.15)

1.6 人物图蒙层特效

src = cv2.imread('27.png', cv2.IMREAD_UNCHANGED)  
image = g.Graphics.layer_mask(src)

1.7 图像透明通道融合

src = cv2.imread('27.png', cv2.IMREAD_UNCHANGED)  
image = g.Graphics.alpha_compose(src, image, x=0, y=0)


python -m pip install --user --upgrade setuptools wheel  
python -m pip install --user --upgrade twine  
python sdist bdist_wheel

3、在 注册账号 Cachcheng 并上传包

python -m twine upload --repository-url dist/*


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