Real-time detection system for black tea fermentation process
A technology for real-time detection and fermentation degree, applied in manufacturing computing systems, measuring devices, testing plant materials, etc., can solve the problems of discriminant efficiency, stability and accuracy that need to be verified, not fully explained, etc., to ensure real-time continuous image acquisition. , Solve the effect of interfering with image quality and achieve isolation
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[0075] (7) Build a PyTorch-based MobileNetV3 model.
[0076] Initial part: 1 convolutional layer, through 3x3 convolution, namely convolutional layer, BN layer, h-switch activation layer, in Large
[0077] The middle part: a plurality of convolutional layers, which are the network structures of a plurality of blocks (MobileBlock) containing a convolutional layer, different
[0078] The last part: the Squeeze operation is omitted, the Avg Pooling is advanced, and the 1×1 convolution is directly used instead of the full
[0081] (9) Encapsulate by software through the deep learning model and the traditional model established in step (8).
[0084] Furthermore, it should be understood that although this specification is described in terms of embodiments, not every embodiment includes only
[0085] The technology, shape and structural part not described in detail in the present invention are all known technology.
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