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@@ -0,0 +1 @@ +/ocrd-fork-pylsd-0.0.4.tar.gz diff --git a/python-ocrd-fork-pylsd.spec b/python-ocrd-fork-pylsd.spec new file mode 100644 index 0000000..9f97746 --- /dev/null +++ b/python-ocrd-fork-pylsd.spec @@ -0,0 +1,253 @@ +%global _empty_manifest_terminate_build 0 +Name: python-ocrd-fork-pylsd +Version: 0.0.4 +Release: 1 +Summary: pylsd is the python bindings for LSD - Line Segment Detector +License: BSD +URL: https://github.com/kba/pylsd +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/19/e4/f31ed73961a1c87d40b8e64505729367cc85bbcd45776d0d3561a2889cf2/ocrd-fork-pylsd-0.0.4.tar.gz +BuildArch: noarch + +Requires: python3-numpy + +%description +### 1. Introduction +pylsd is the python bindings for [LSD - Line Segment Detector](http://www.ipol.im/pub/art/2012/gjmr-lsd/). +### 2. Install +This package uses distutils, which is the default way of installing python modules. To install in your home directory, securely run the following: +``` +git clone https://github.com/primetang/pylsd.git +cd pylsd +[sudo] python setup.py install +``` +Or directly through `pip` to install it: +``` +[sudo] pip install pylsd +``` +### 3. Usage +We 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: +`[point1.x, point1.y, point2.x, point2.y, width]` +According to these presentations, we can use it just like the following code ([here is the link](https://github.com/primetang/pylsd/tree/master/example)): +* by using cv2 module +```python +import cv2 +import numpy as np +import os +from pylsd.lsd import lsd +fullName = 'car.jpg' +folder, imgName = os.path.split(fullName) +src = cv2.imread(fullName, cv2.IMREAD_COLOR) +gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) +lines = lsd(gray) +for i in xrange(lines.shape[0]): + pt1 = (int(lines[i, 0]), int(lines[i, 1])) + pt2 = (int(lines[i, 2]), int(lines[i, 3])) + width = lines[i, 4] + cv2.line(src, pt1, pt2, (0, 0, 255), int(np.ceil(width / 2))) +cv2.imwrite(os.path.join(folder, 'cv2_' + imgName.split('.')[0] + '.jpg'), src) +``` +* by using PIL(Image) module +```python +from PIL import Image, ImageDraw +import numpy as np +import os +from pylsd.lsd import lsd +fullName = 'house.png' +folder, imgName = os.path.split(fullName) +img = Image.open(fullName) +gray = np.asarray(img.convert('L')) +lines = lsd(gray) +draw = ImageDraw.Draw(img) +for i in xrange(lines.shape[0]): + pt1 = (int(lines[i, 0]), int(lines[i, 1])) + pt2 = (int(lines[i, 2]), int(lines[i, 3])) + width = lines[i, 4] + draw.line((pt1, pt2), fill=(0, 0, 255), width=int(np.ceil(width / 2))) +img.save(os.path.join(folder, 'PIL_' + imgName.split('.')[0] + '.jpg')) +``` +The following is the result: +* car.jpg by using cv2 module + + +* house.png by using PIL(Image) module + + + +%package -n python3-ocrd-fork-pylsd +Summary: pylsd is the python bindings for LSD - Line Segment Detector +Provides: python-ocrd-fork-pylsd +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-ocrd-fork-pylsd +### 1. Introduction +pylsd is the python bindings for [LSD - Line Segment Detector](http://www.ipol.im/pub/art/2012/gjmr-lsd/). +### 2. Install +This package uses distutils, which is the default way of installing python modules. To install in your home directory, securely run the following: +``` +git clone https://github.com/primetang/pylsd.git +cd pylsd +[sudo] python setup.py install +``` +Or directly through `pip` to install it: +``` +[sudo] pip install pylsd +``` +### 3. Usage +We 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: +`[point1.x, point1.y, point2.x, point2.y, width]` +According to these presentations, we can use it just like the following code ([here is the link](https://github.com/primetang/pylsd/tree/master/example)): +* by using cv2 module +```python +import cv2 +import numpy as np +import os +from pylsd.lsd import lsd +fullName = 'car.jpg' +folder, imgName = os.path.split(fullName) +src = cv2.imread(fullName, cv2.IMREAD_COLOR) +gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) +lines = lsd(gray) +for i in xrange(lines.shape[0]): + pt1 = (int(lines[i, 0]), int(lines[i, 1])) + pt2 = (int(lines[i, 2]), int(lines[i, 3])) + width = lines[i, 4] + cv2.line(src, pt1, pt2, (0, 0, 255), int(np.ceil(width / 2))) +cv2.imwrite(os.path.join(folder, 'cv2_' + imgName.split('.')[0] + '.jpg'), src) +``` +* by using PIL(Image) module +```python +from PIL import Image, ImageDraw +import numpy as np +import os +from pylsd.lsd import lsd +fullName = 'house.png' +folder, imgName = os.path.split(fullName) +img = Image.open(fullName) +gray = np.asarray(img.convert('L')) +lines = lsd(gray) +draw = ImageDraw.Draw(img) +for i in xrange(lines.shape[0]): + pt1 = (int(lines[i, 0]), int(lines[i, 1])) + pt2 = (int(lines[i, 2]), int(lines[i, 3])) + width = lines[i, 4] + draw.line((pt1, pt2), fill=(0, 0, 255), width=int(np.ceil(width / 2))) +img.save(os.path.join(folder, 'PIL_' + imgName.split('.')[0] + '.jpg')) +``` +The following is the result: +* car.jpg by using cv2 module + + +* house.png by using PIL(Image) module + + + +%package help +Summary: Development documents and examples for ocrd-fork-pylsd +Provides: python3-ocrd-fork-pylsd-doc +%description help +### 1. Introduction +pylsd is the python bindings for [LSD - Line Segment Detector](http://www.ipol.im/pub/art/2012/gjmr-lsd/). +### 2. Install +This package uses distutils, which is the default way of installing python modules. To install in your home directory, securely run the following: +``` +git clone https://github.com/primetang/pylsd.git +cd pylsd +[sudo] python setup.py install +``` +Or directly through `pip` to install it: +``` +[sudo] pip install pylsd +``` +### 3. Usage +We 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: +`[point1.x, point1.y, point2.x, point2.y, width]` +According to these presentations, we can use it just like the following code ([here is the link](https://github.com/primetang/pylsd/tree/master/example)): +* by using cv2 module +```python +import cv2 +import numpy as np +import os +from pylsd.lsd import lsd +fullName = 'car.jpg' +folder, imgName = os.path.split(fullName) +src = cv2.imread(fullName, cv2.IMREAD_COLOR) +gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) +lines = lsd(gray) +for i in xrange(lines.shape[0]): + pt1 = (int(lines[i, 0]), int(lines[i, 1])) + pt2 = (int(lines[i, 2]), int(lines[i, 3])) + width = lines[i, 4] + cv2.line(src, pt1, pt2, (0, 0, 255), int(np.ceil(width / 2))) +cv2.imwrite(os.path.join(folder, 'cv2_' + imgName.split('.')[0] + '.jpg'), src) +``` +* by using PIL(Image) module +```python +from PIL import Image, ImageDraw +import numpy as np +import os +from pylsd.lsd import lsd +fullName = 'house.png' +folder, imgName = os.path.split(fullName) +img = Image.open(fullName) +gray = np.asarray(img.convert('L')) +lines = lsd(gray) +draw = ImageDraw.Draw(img) +for i in xrange(lines.shape[0]): + pt1 = (int(lines[i, 0]), int(lines[i, 1])) + pt2 = (int(lines[i, 2]), int(lines[i, 3])) + width = lines[i, 4] + draw.line((pt1, pt2), fill=(0, 0, 255), width=int(np.ceil(width / 2))) +img.save(os.path.join(folder, 'PIL_' + imgName.split('.')[0] + '.jpg')) +``` +The following is the result: +* car.jpg by using cv2 module + + +* house.png by using PIL(Image) module + + + +%prep +%autosetup -n ocrd-fork-pylsd-0.0.4 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-ocrd-fork-pylsd -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.4-1 +- Package Spec generated @@ -0,0 +1 @@ +bcc725331840de49fe5967f642e87287 ocrd-fork-pylsd-0.0.4.tar.gz |