44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
import os
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import time
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from ContourExctractor import ContourExtractor
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from Exporter import Exporter
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from LayerFactory import LayerFactory
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from Analyzer import Analyzer
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from VideoReader import VideoReader
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from Config import Config
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from Importer import Importer
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import cv2
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#TODO
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# finden von relevanten Stellen anhand von zu findenen metriken für vergleichsbilder
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def demo():
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print("startup")
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start = time.time()
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config = Config()
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config["inputPath"] = os.path.join(os.path.dirname(__file__), "generate test footage/3.mp4")
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#config["importPath"] = os.path.join(os.path.dirname(__file__), "output/short.txt")
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config["outputPath"] = os.path.join(os.path.dirname(__file__), "output/short.mp4")
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if config["importPath"] is None:
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contours = ContourExtractor(config).extractContours()
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print("Time consumed extracting: ", time.time() - start)
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layerFactory = LayerFactory(config)
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layers = layerFactory.extractLayers(contours)
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else:
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layers = Importer(config).importRawData()
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exporter = Exporter(config)
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exporter.exportRawData(layers)
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exporter.exportOverlayed(layers)
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print("Total time: ", time.time() - start)
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def init():
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print("not needed yet")
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if __name__ == "__main__":
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demo()
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