A Fire Image Recognition Method Based on Deep Learning
An image recognition and deep learning technology, applied in the field of fire image recognition based on deep learning, can solve the problems that the accuracy is difficult to meet the requirements, the detection effect is not ideal, and the features are not obvious enough, so as to improve the accuracy, be easy to extract, and speed up the simulation. effect of speed
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[0096] The fire image recognition method based on deep learning of the present embodiment, comprises the steps:
[0097] Step 1: Construct neural network sample training set and test set:
[0098] In this example, the pictures containing the smoke in the early stage of the fire and the normal pictures without the fire are collected for training the convolutional neural network. Specifically, the pictures containing the smoke in the early stage of the fire were collected through fire video extraction and small-scale open flame experiment shooting, and the normal pictures without fire were collected through shooting in daily life. The training set has a total of 10,712 photos, including 2,201 smoke pictures, which are labeled as 1, and 8,501 non-smoking pictures, which are labeled as 0;
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