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        "author": "Gefu Tang",
        "author_email": "tanggefu@gmail.com",
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        "description": "pylsd\n=============\n\n### 1. Introduction\n\npylsd is the python bindings for [LSD - Line Segment Detector](http://www.ipol.im/pub/art/2012/gjmr-lsd/).\n\n### 2. Install\n\nThis package uses distutils, which is the default way of installing python modules. To install in your home directory, securely run the following:\n```\ngit clone https://github.com/primetang/pylsd.git\ncd pylsd\n[sudo] python setup.py install\n```\n\nOr directly through `pip` to install it:\n```\n[sudo] pip install pylsd\n```\n\n### 3. Usage\n\nWe can use the package by using `from pylsd.lsd import lsd`, and `lines = lsd(src)` is the call format for the `lsd` function, where `src` is a Grayscale Image (`H * W` numpy.array), and the return value `lines` is the Detected Line Segment, `lines` is an `N * 5` numpy.array, each row represents a straight line, the 5-dimensional vector is:\n\n`[point1.x, point1.y, point2.x, point2.y, width]`\n\n\nAccording to these presentations, we can use it just like the following code ([here is the link](https://github.com/primetang/pylsd/tree/master/example)):\n\n* by using cv2 module\n\n```python\nimport cv2\nimport numpy as np\nimport os\nfrom pylsd.lsd import lsd\nfullName = 'car.jpg'\nfolder, imgName = os.path.split(fullName)\nsrc = cv2.imread(fullName, cv2.IMREAD_COLOR)\ngray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)\nlines = lsd(gray)\nfor i in xrange(lines.shape[0]):\n    pt1 = (int(lines[i, 0]), int(lines[i, 1]))\n    pt2 = (int(lines[i, 2]), int(lines[i, 3]))\n    width = lines[i, 4]\n    cv2.line(src, pt1, pt2, (0, 0, 255), int(np.ceil(width / 2)))\ncv2.imwrite(os.path.join(folder, 'cv2_' + imgName.split('.')[0] + '.jpg'), src)\n```\n\n* by using PIL(Image) module\n\n```python\nfrom PIL import Image, ImageDraw\nimport numpy as np\nimport os\nfrom pylsd.lsd import lsd\nfullName = 'house.png'\nfolder, imgName = os.path.split(fullName)\nimg = Image.open(fullName)\ngray = np.asarray(img.convert('L'))\nlines = lsd(gray)\ndraw = ImageDraw.Draw(img)\nfor i in xrange(lines.shape[0]):\n    pt1 = (int(lines[i, 0]), int(lines[i, 1]))\n    pt2 = (int(lines[i, 2]), int(lines[i, 3]))\n    width = lines[i, 4]\n    draw.line((pt1, pt2), fill=(0, 0, 255), width=int(np.ceil(width / 2)))\nimg.save(os.path.join(folder, 'PIL_' + imgName.split('.')[0] + '.jpg'))\n```\n\nThe following is the result:\n\n* car.jpg by using cv2 module\n\n![](https://github.com/primetang/pylsd/blob/master/example/car.jpg)\n\n![](https://github.com/primetang/pylsd/blob/master/example/cv2_car.jpg)\n\n* house.png by using PIL(Image) module\n\n![](https://github.com/primetang/pylsd/blob/master/example/house.png)\n\n![](https://github.com/primetang/pylsd/blob/master/example/PIL_house.jpg)\n\n\n",
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        "home_page": "https://github.com/kba/pylsd",
        "keywords": "LSD,line segmentation",
        "license": "BSD",
        "maintainer": "kba",
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        "name": "ocrd-fork-pylsd",
        "package_url": "https://pypi.org/project/ocrd-fork-pylsd/",
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        "summary": "pylsd is the python bindings for LSD - Line Segment Detector",
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