Dyeing effect prediction method, training method of dyeing effect prediction model, electronic device and storage medium

A dyeing effect prediction method, comprising:

• detecting a measurement point on a to-be-detected yarn spindle by using a Raman spectrometer, to obtain Raman spectrum data of the to-be-detected yarn spindle;
• decomposing the Raman spectrum data of the to-be-detected yarn spindle into a plurality of sub-signal data by using a wavelet basis function;
• determining a feature of the to-be-detected yarn spindle according to at least a part of target sub-signal data in the plurality of sub-signal data, wherein the feature of the to-be-detected yarn spindle comprises at least one of a statistical feature of at least the part of target sub-signal data and a frequency domain feature of at least the part of target sub-signal data;
• and
• predicting to obtain a first dyeing label according to the feature of the to-be-detected yarn spindle by using a dyeing effect prediction model, wherein the first dyeing label is used for representing a dyeing effect grade, and the dyeing effect prediction model is obtained through training a first prediction model by using a feature of a specimen yarn spindle and a real dyeing label of the specimen yarn spindle.