33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
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from u_2_net import my_u2net_test
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from to_background import to_background
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from to_background import to_standard_trimap
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from m_dlib import ai_crop
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import numpy as np
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from PIL import Image
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if __name__ == "__main__":
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org_img = "..\\aiphoto\\img\\meinv.jpg"
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alpha_img = "..\\aiphoto\\img\\meinv_alpha.png"
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alpha_resize_img = "..\\aiphoto\\img\\meinv_alpha_resize.png"
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# #
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# 通过u_2_net 获取 alpha
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my_u2net_test.test_seg_trimap(org_img, alpha_img, alpha_resize_img)
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#
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# # 通过alpha 获取 trimap
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trimap = "..\\aiphoto\\img\\meinv_trimap_resize.png"
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to_standard_trimap.to_standard_trimap(alpha_resize_img, trimap)
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#
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# 证件照添加蓝底纯色背景
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id_image = "..\\aiphoto\\img\\meinv_id.png"
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to_background.to_background(org_img, trimap, id_image, "blue")
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#id_image = "..\\aiphoto\\img\\meinv_id_grid.png"
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#to_background.to_background_grid(org_img, trimap, id_image)
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# image = Image.open(id_image)
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# data = image.getdata()
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# np.savetxt("data6.txt", data,fmt='%d',delimiter=',')
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# 20200719
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# 通过识别人脸关键点，裁剪图像
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ai_crop.crop_photo("..\\aiphoto\\img\\meinv_id.png", "..\\aiphoto\\img\\2in.jpg")
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