Create a smi file in Web based on the video
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Copyright (c) 2019 InfoLab (Donggun LEE)
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How to install
- requirement
# python 3.6 -- tensorflow or tensorflow-gpu pip install tensorflow-gpu==1.9.0 exifread>=2.1.2 piexif>=1.1.2 pillow>=6.0.0 matplotlib>=3.1.0 scikit-image>=0.15.0 IPython>=7.5.0 keras>=2.2.4 cython>=0.29.7 deepgeo VideoToSMI ConfigHelper
- install
pip install VideoToSMI-Server
- other version
# 0.0.3 pip install VideoToSMI-Server==0.0.3 # 0.0.4 pip install VideoToSMI-Server==0.0.4
- requirement
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How to use
from VideoToSMIServer import Server, ServerConfig config = ServerConfig() config.MODEL_NAME = "mscoco" config.IP = "127.0.0.1" config.PORT=80 config.MODEL_CONFIG_PATH = "D:/test/config.json" config.MODEL_ENGINE = "maskrcnn" config.FILTER = ['truck','car','bus'] config.VIDEO_FOLDER = "D:/test/videotosmi/" server = Server(config) server.Run() # POST VIDEO FILE -> http://127.0.0.1:80/ -> Reulst SMI FILE
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Preview