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wangzhe
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update: README
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README.md

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@@ -10,16 +10,16 @@ calculation tool, you can do:
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- Drawing ROC curve(Done)
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- Get FPPI(False Positive Per Image) and FPPW(False Positive Per Window) in any threshold(Done)
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## Update
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- fix some bugs
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- sematic label name is supported now (e.g. "Person", "Car")
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- add comments
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## Requirements
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- python 2.X OR python 3.X
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- python-opencv (any version)
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- matplotlib 2.2.3
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## Input format
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- TXT format, see 'sample' folder
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- TXT format, see 'sample' folder; bounding box style is 'xmin ymin xmax ymax'
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- XML format, only Pascal VOC style supported
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## Usage
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first, modify parameters in 'evaluation.py' ('class_names') and io_file.py ('class_map') as you need
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```shell
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python test.py --dir ./sample/prediction ./sample/test_annos --ratio 0.5 --thre 0.7
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```

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