16 lines
1.4 KiB
Python
16 lines
1.4 KiB
Python
from collections import OrderedDict
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from cam_server.pipeline.data_processing import functions, processor
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def process_image(image, pulse_id, timestamp, x_axis, y_axis, parameters, bsdata):
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r = processor.process_image(image, pulse_id, timestamp, x_axis, y_axis, parameters, bsdata)
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ret = OrderedDict()
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#channels = ["intensity","x_center_of_mass","x_fwhm","x_rms","x_fit_amplitude", "x_fit_mean","x_fit_offset","x_fit_standard_deviation","x_profile","y_center_of_mass","y_fwhm","y_rms","y_fit_amplitude", "y_fit_mean","y_fit_offset","y_fit_standard_deviation","y_profile","gr_x_fit_amplitude", "gr_x_fit_mean","gr_x_fit_offset","gr_x_fit_standard_deviation","gr_x_profile","gr_y_fit_amplitude", "gr_y_fit_mean","gr_y_fit_offset","gr_y_fit_standard_deviation","gr_y_profile"]
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#removed "gr_x_profile" and "gr_y_profile"
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channels = ["intensity","x_center_of_mass","x_fwhm","x_rms","x_fit_amplitude", "x_fit_mean","x_fit_offset","x_fit_standard_deviation","x_profile","y_center_of_mass","y_fwhm","y_rms","y_fit_amplitude", "y_fit_mean","y_fit_offset","y_fit_standard_deviation","y_profile","gr_x_fit_amplitude", "gr_x_fit_mean","gr_x_fit_offset","gr_x_fit_standard_deviation","gr_y_fit_amplitude", "gr_y_fit_mean","gr_y_fit_offset","gr_y_fit_standard_deviation"]
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prefix = parameters["camera_name"]
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for c in channels:
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ret[prefix+":"+c] = r[c]
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ret[prefix+":"+'input_pulse_id'] = pulse_id
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return ret
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