{"id":5201,"date":"2022-04-02T18:01:52","date_gmt":"2022-04-02T10:01:52","guid":{"rendered":"https:\/\/egonlin.com\/?p=5201"},"modified":"2022-04-02T18:01:52","modified_gmt":"2022-04-02T10:01:52","slug":"02-%e7%94%a8python%e5%ae%9e%e7%8e%b0%e4%bd%a0%e7%9a%84%e7%bb%98%e7%94%bb%e6%a2%a6","status":"publish","type":"post","link":"https:\/\/egonlin.com\/?p=5201","title":{"rendered":"02 \u7528python\u5b9e\u73b0\u4f60\u7684\u7ed8\u753b\u68a6"},"content":{"rendered":"

\u5bfc\u8bed\uff1a<\/h1>\n

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\u200b \u4f60\u662f\u5426\u8fd8\u5728\u4e3a\u5f53\u65f6\u5e74\u5c11\u65f6\u6ca1\u6709\u9009\u62e9\u81ea\u5df1\u7684\u68a6\u60f3\u800c\u4f24\u5fc3\uff0c\u662f\u5426\u8fd8\u5728\u4e3a\u81ea\u5df1\u7684\u65e0\u6cd5\u6210\u4e3a\u7ed8\u753b\u540d\u5bb6\u800c\u82e6\u607c\uff0c\u8fd9\u4e00\u5207\u90fd\u4e0d\u9700\u8981\u62c5\u5fc3\u3002python\u90fd\u80fd\u5e2e\u4f60\u5b9e\u73b0\uff0c\u8bf6\uff01python\u600e\u4e48\u80fd\u753b\u753b\u5462\uff0c\u4e00\u4e9b\u7b80\u5355\u7684\u56fe\u6848\u6ca1\u95ee\u9898\uff0c\u4f46\u662f\u6211\u8981\u662f\u60f3\u753b\u7d20\u63cf\u90a3\u80af\u5b9a\u6ca1\u6709\u529e\u6cd5\u4e86\u5440\uff01<\/p>\n

\u9700\u6c42\u5206\u6790\uff1a<\/h1>\n

\u901a\u8fc7python\u4ee3\u7801\u811a\u672c\uff0c\u5b9e\u73b0\u7ed8\u5236\u7d20\u63cf<\/p>\n

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\u5b89\u88c5\u5de5\u5177<\/h1>\n
pip install pillow\n\npip install numpy<\/code><\/pre>\n
\u4ee3\u7801\u5b9e\u73b0<\/h1>\n
\u9996\u5148\u6211\u4eec\u9700\u8981\u770b\u4e00\u4e0b\u6211\u4eec\u9700\u8981\u7684\u539f\u56fe:
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\u8fd9\u662f\u4e00\u5934\u5927\u6c34\u725b\uff0c\u90a3\u6211\u4eec\u8981\u5982\u4f55\u5c06\u5b83\u53d8\u6210\u4e00\u5e45\u7d20\u63cf\u753b\u5462\uff1f<\/p>\n
\u6765\u770b\u6211\u4eec\u7b2c\u4e00\u79cd\u65b9\u6848\uff1a<\/p>\n
# -*- coding: utf-8 -*-\nfrom PIL import Image\nfrom random import randint\n\nold = Image.open(r"da.jpg")\nnew = Image.new('L', old.size, 255)\nw, d = old.size\nold = old.convert('L')\nPEN_SIZE = 3\nCOLOR_DIFF = 7\nLINE_LEN = 2\n\nfor i in range(PEN_SIZE + 1, w - PEN_SIZE - 1):\n    for j in range(PEN_SIZE + 1, d - PEN_SIZE - 1):\n        originalcolor = 255\n        lcolor = sum([old.getpixel((i - r, j))\n                      for r in range(PEN_SIZE)]) \/\/ PEN_SIZE\n        rcolor = sum([old.getpixel((i + r, j))\n                      for r in range(PEN_SIZE)]) \/\/ PEN_SIZE\n        if abs(lcolor - rcolor) > COLOR_DIFF:\n            originalcolor -= (255 - old.getpixel((i, j))) \/\/ 4\n            for p in range(-LINE_LEN + randint(-1, 1), LINE_LEN + randint(-1, 1)):\n                new.putpixel((i, j + p), originalcolor)\n\n        ucolor = sum([old.getpixel((i, j - r))\n                      for r in range(PEN_SIZE)]) \/\/ PEN_SIZE\n        dcolor = sum([old.getpixel((i, j + r))\n                      for r in range(PEN_SIZE)]) \/\/ PEN_SIZE\n        if abs(ucolor - dcolor) > COLOR_DIFF:\n            originalcolor -= (255 - old.getpixel((i, j))) \/\/ 4\n            for p in range(-LINE_LEN + randint(-1, 1), LINE_LEN + randint(-1, 1)):\n                new.putpixel((i + p, j), originalcolor)\n\n        lucolor = sum([old.getpixel((i - r, j - r))\n                       for r in range(PEN_SIZE)]) \/\/ PEN_SIZE\n        rdcolor = sum([old.getpixel((i + r, j + r))\n                       for r in range(PEN_SIZE)]) \/\/ PEN_SIZE\n        if abs(lucolor - rdcolor) > COLOR_DIFF:\n            originalcolor -= (255 - old.getpixel((i, j))) \/\/ 4\n            for p in range(-LINE_LEN + randint(-1, 1), LINE_LEN + randint(-1, 1)):\n                new.putpixel((i - p, j + p), originalcolor)\n\n        rucolor = sum([old.getpixel((i + r, j - r))\n                       for r in range(PEN_SIZE)]) \/\/ PEN_SIZE\n        ldcolor = sum([old.getpixel((i - r, j + r))\n                       for r in range(PEN_SIZE)]) \/\/ PEN_SIZE\n        if abs(rucolor - ldcolor) > COLOR_DIFF:\n            originalcolor -= (255 - old.getpixel((i, j))) \/\/ 4\n            for p in range(-LINE_LEN + randint(-1, 1), LINE_LEN + randint(-1, 1)):\n                new.putpixel((i + p, j + p), originalcolor)\n\nnew.save(r"pencil_drawing.jpg")\n<\/code><\/pre>\n
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\u6211\u4eec\u8fd9\u7b2c\u4e00\u4efd\u7d20\u63cf\u56fe\u6848\u65f6\u4ee5\u7ebf\u6761\u4e3a\u5355\u4f4d\u8fdb\u884c\u7d20\u63cf\u7684\uff0c\u800c\u4e14\u8fd8\u589e\u52a0\u4e86\u968f\u673a\u51fd\u6570\uff0c\u56fe\u6848\u4e2d\u7ebf\u6761\u7684\u957f\u5ea6\u4e0d\u786e\u5b9a\uff0c\u8fd9\u6837\u521b\u4f5c\u7684\u7d20\u63cf\u770b\u4e0a\u53bb\u66f4\u52a0\u67d4\u548c\uff0c\u770b\u8d77\u6765\u66f4\u52a0\u63a5\u8fd1\u771f\u5b9e\u7684\u4eba\u7c7b\u4f5c\u753b\u7684\u98ce\u683c\u3002<\/p>\n
\u4f46\u662f\u8fd9\u4e2a\u65b9\u6cd5\u6709\u4e00\u4e9b\u5f0a\u7aef\uff0c<\/p>\n
    \n
  • \u4e00\u662f\u4ee3\u7801\u91cf\u8f83\u591a<\/li>\n
  • \u4e8c\u662f\u6267\u884c\u901f\u5ea6\u8fc7\u6162<\/li>\n<\/ul>\n
    \u4f60\u60f3\u901a\u8fc7\u8fd9\u4e2a\u65b9\u5f0f\u5b9e\u73b0\u4e00\u4e2a\u7d20\u63cf\u56fe\u6848\uff0c\u9700\u8981\u7b49\u5f85\u5f88\u957f\u65f6\u95f4\u3002<\/p>\n
    \u90a3\u4e48\u6709\u6ca1\u6709\u66f4\u597d\u7684\u65b9\u5f0f\u5462\uff1f<\/p>\n
    \"\"<\/div><\/p>\n
    \u6765\uff0c\u6211\u4eec\u518d\u6765\u770b\uff0c\u63a5\u4e0b\u6765\u6211\u4eec\u8981\u7528\u4e00\u79cd\u66f4\u53cb\u597d\u7684\u65b9\u5f0f\u6765\u5b9e\u73b0\u8fd9\u4e2a\u9700\u6c42<\/p>\n
    from PIL import Image\nimport numpy as np\n\na = np.asarray(Image.open('\u725b.jpg').convert('L')).astype('float')\ndepth = 10.  # (0-100)\ngrad = np.gradient(a)  # \u53d6\u56fe\u50cf\u7070\u5ea6\u7684\u68af\u5ea6\u503c\ngrad_x, grad_y = grad  # \u5206\u522b\u53d6\u6a2a\u7eb5\u56fe\u50cf\u68af\u5ea6\u503c\ngrad_x = grad_x * depth \/ 100.\ngrad_y = grad_y * depth \/ 100.\nA = np.sqrt(grad_x ** 2 + grad_y ** 2 + 1.)\nuni_x = grad_x \/ A\nuni_y = grad_y \/ A\nuni_z = 1. \/ A\nvec_el = np.pi \/ 2.2  # \u5149\u6e90\u7684\u4fef\u89c6\u89d2\u5ea6\uff0c\u5f27\u5ea6\u503c\nvec_az = np.pi \/ 4.  # \u5149\u6e90\u7684\u65b9\u4f4d\u89d2\u5ea6\uff0c\u5f27\u5ea6\u503c\ndx = np.cos(vec_el) * np.cos(vec_az)  # \u5149\u6e90\u5bf9x \u8f74\u7684\u5f71\u54cd\ndy = np.cos(vec_el) * np.sin(vec_az)  # \u5149\u6e90\u5bf9y \u8f74\u7684\u5f71\u54cd\ndz = np.sin(vec_el)  # \u5149\u6e90\u5bf9z \u8f74\u7684\u5f71\u54cd\nb = 255 * (dx * uni_x + dy * uni_y + dz * uni_z)  # \u5149\u6e90\u5f52\u4e00\u5316\nb = b.clip(0, 255)\nim = Image.fromarray(b.astype('uint8'))  # \u91cd\u6784\u56fe\u50cf\nim.save('new.jpg')<\/code><\/pre>\n
    \"\"<\/div><\/p>\n
    \u53ef\u80fd\u7ec6\u5fc3\u4e00\u70b9\uff0c\u5927\u5bb6\u53ef\u4ee5\u770b\u5230\u6211\u4f7f\u7528\u7684\u662f\uff0c\u6570\u636e\u5206\u6790\uff0c\u91d1\u878d\u91cf\u5316\uff0c\u673a\u5668\u5b66\u4e60\uff0c\u4eba\u5de5\u667a\u80fd\u7684\u5fc5\u5907\u5de5\u5177\u5305numpy<\/code><\/strong>,\u800c\u4e14\u4ee3\u7801\u91cf\u7f29\u77ed\u7684\u4e8c\u5341\u51e0\u884c\u4e86\uff0c\u6548\u679c\u76f8\u8f83\u4e8e\u4e0a\u9762\u90a3\u79cd\u65b9\u5f0f\uff0c\u8fd8\u8981\u66f4\u597d\u4e00\u4e9b\uff0c\u8fd0\u884c\u7684\u901f\u5ea6\u4e5f\u8981\u5feb\u5f88\u591a\u500d\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
    \u5bfc\u8bed\uff1a \u200b \u4f60\u662f\u5426\u8fd8\u5728\u4e3a\u5f53\u65f6\u5e74\u5c11\u65f6\u6ca1\u6709\u9009\u62e9\u81ea\u5df1\u7684\u68a6\u60f3\u800c\u4f24\u5fc3\uff0c\u662f\u5426\u8fd8\u5728\u4e3a\u81ea\u5df1\u7684\u65e0\u6cd5\u6210\u4e3a\u7ed8\u753b\u540d\u5bb6\u800c\u82e6\u607c\uff0c\u8fd9\u4e00\u5207\u90fd\u4e0d […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[371,378],"tags":[],"_links":{"self":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts\/5201"}],"collection":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5201"}],"version-history":[{"count":0,"href":"https:\/\/egonlin.com\/index.php?rest_route=\/wp\/v2\/posts\/5201\/revisions"}],"wp:attachment":[{"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5201"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5201"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/egonlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5201"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}