remove unused file and update README
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README.md
14
README.md
@ -28,9 +28,9 @@ In order to build the resource and assets, you need to install pyqt4-dev-tools:
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* Windows
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Need to download and setup [Python 2.6](https://www.python.org/downloads/windows/) or later and [PyQt4](https://www.riverbankcomputing.com/software/pyqt/download). You can also try to download the whole neccessary executable files from [my drive](https://copy.com/oyYjFzJwPb4tKl93) and install them.
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Need to download and setup [Python 2.6](https://www.python.org/downloads/windows/) or later and [PyQt4](https://www.riverbankcomputing.com/software/pyqt/download). Also, you need to install other python dependencies.
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Open cmd and go to $labelImg,
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Open cmd and go to [labelImg]
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`$ pyrcc4 -o resources.py resources.qrc`
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@ -46,9 +46,6 @@ At the moment annotations are saved as an XML file. The format is PASCAL VOC for
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You can also see [ImageNet Utils](https://github.com/tzutalin/ImageNet_Utils) to download image, create a label text for machine learning, etc
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### Create pre-defined classes
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You can edit the [data/predefined_classes.txt](https://github.com/tzutalin/labelImg/blob/master/data/predefined_classes.txt) to load pre-defined classes
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### General steps from scratch
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@ -60,7 +57,11 @@ You can edit the [data/predefined_classes.txt](https://github.com/tzutalin/label
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* Click 'Create RectBox'
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The annotation will be saved to the folder you specifiy
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The annotation will be saved to the folder you specify
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### Create pre-defined classes
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You can edit the [data/predefined_classes.txt](https://github.com/tzutalin/labelImg/blob/master/data/predefined_classes.txt) to load pre-defined classes
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### Hotkeys
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@ -79,3 +80,4 @@ Send a pull request
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### License
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[License](LICENSE.md)
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@ -1,23 +0,0 @@
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#!/usr/bin/env python
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from subprocess import call
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call(["pyinstaller", "--onefile", "--windowed", "labelImg.py"])
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# Now it is a workaround. It should use hook file
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def readlines(filename):
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result = []
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with open(filename, "r") as ins:
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for line in ins:
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result.append(line)
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return result
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lines = readlines('labelImg.spec')
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for ind, line in enumerate(lines):
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if 'hiddenimports' in line:
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lines[ind] = "\t\t\t hiddenimports = ['cv2', 'json', 'lxml.etree', 'lxml', 'etree', 'xml.etree.ElementTree'],\n"
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print lines[ind]
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FILE = open('labelImg.spec', "w")
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FILE.writelines(lines)
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FILE.close()
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call(["pyinstaller", "labelImg.spec"])
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