41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
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import imc_termite
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import json
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import glob
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from pathlib import Path
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# list files in sample directory
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# fileobj1 = Path("samples/").rglob("*.raw")
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# rawlist1 = [str(fl) for fl in fileobj1]
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rawlist1 = ["samples/datasetB/datasetB_32.raw"]
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print(rawlist1)
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for fl in rawlist1:
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print("converting " + str(fl))
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# declare and initialize instance of "imctermite" by passing a raw-file
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try :
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imcraw = imc_termite.imctermite(fl.encode())
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except RuntimeError as e :
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print("failed to load/parse raw-file: " + str(e))
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# obtain list of channels as list of dictionaries (without data)
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channels = imcraw.get_channels(False)
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print(json.dumps(channels,indent=4, sort_keys=False))
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# # obtain data of first channel (with data)
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# channelsdata = imcraw.get_channels(True)
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# if len(channelsdata) > 0 :
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# chnydata = channelsdata[0]['ydata']
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# chnxdata = channelsdata[0]['xdata']
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#
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# print(len(chnydata))
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# print(len(chnxdata))
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#
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# # print the channels into a specific directory
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# imcraw.print_channels(b"./")
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# print all channels in single file
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# imcraw.print_table(b"./allchannels.csv")
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