# captures

m_lnet_result_serialized: {"iidProbabilities":[]}
measure_data_serialized:
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pattern_image_src:
  data:image/png;base64,[encoded data, 6132 characters]


measure_data_serialized:
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pattern_image_src:
  data:image/png;base64,[encoded data, 10784 characters]

m_lnet_result_serialized:
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measure_data_serialized:
  {"normalizer":{"NormalizeMethod":"HeadToCloakInPetriDish","NormalizeReference":100.0,"NormalizePixelSize":0.1,"NormalizedWidthPx":600,"NormalizedHeightPx":600,"PatternRelWidth":0.3,"PatternRelHeight":0.8},"normalizePoints":[{"X":409.7561,"Y":44.715446},{"X":394.30893,"Y":494.30893},{"X":454.47156,"Y":240.6504}],"measurePoints":[{"X":300.81302,"Y":184.55284},{"X":318.6992,"Y":407.31708}],"Threshold":0.3,"BinaryThresholdMode":1}

pattern_image_src:
  data:image/png;base64,[encoded data, 14768 characters]

m_lnet_result_serialized:
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m_lnet_result_serialized: {"iidProbabilities":[]}
measure_data_serialized:
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pattern_image_src:
  data:image/png;base64,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


measure_data_serialized:
  {"normalizer":{"NormalizeMethod":"HeadToCloakInPetriDish","NormalizeReference":100.0,"NormalizePixelSize":0.1,"NormalizedWidthPx":600,"NormalizedHeightPx":600,"PatternRelWidth":0.3,"PatternRelHeight":0.8},"normalizePoints":[{"X":347.15448,"Y":59.349594},{"X":384.55286,"Y":551.2195},{"X":430.0813,"Y":318.6992}],"measurePoints":[{"X":299.18698,"Y":214.63414},{"X":308.1301,"Y":422.76422}],"Threshold":0.3,"BinaryThresholdMode":1}

pattern_image_src:
  data:image/png;base64,[encoded data, 15492 characters]

m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
  data:image/png;base64,[encoded data, 12964 characters]

m_lnet_result_serialized:
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m_lnet_result_serialized: {"iidProbabilities":[]}
measure_data_serialized:
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pattern_image_src:
  data:image/png;base64,[encoded data, 7700 characters]


measure_data_serialized:
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pattern_image_src:
  data:image/png;base64,[encoded data, 10224 characters]

m_lnet_result_serialized:
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measure_data_serialized:
  {"normalizer":{"NormalizeMethod":"HeadToCloakInPetriDish","NormalizeReference":100.0,"NormalizePixelSize":0.1,"NormalizedWidthPx":600,"NormalizedHeightPx":600,"PatternRelWidth":0.3,"PatternRelHeight":0.8},"normalizePoints":[{"X":378.04877,"Y":25.203253},{"X":410.5691,"Y":551.2195},{"X":469.10568,"Y":308.1301}],"measurePoints":[{"X":349.5935,"Y":143.90244},{"X":299.18698,"Y":449.5935}],"Threshold":0.1,"BinaryThresholdMode":3}

pattern_image_src:
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m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
  data:image/png;base64,[encoded data, 11016 characters]

m_lnet_result_serialized:
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measure_data_serialized:
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pattern_image_src:
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