The invention provides a tensorflow-based motor vehicle illegal parking identification method and application. The method comprises the following steps: S00, establishing a sample library; s10, expansion is carried out through a tensorflow pair; s20, processing all the expanded captured pictures through tensorflow, and packaging the captured pictures; s30, carrying out normalization processing on all the captured pictures and outputting files with consistent specifications; s40, taking the output files with consistent specifications as training samples, and training through a pre-training model provided by tensorflow to obtain an illegal parking identification model; and S50, monitoring a storage file directory of the captured picture, and after a new captured picture is stored, inputting the captured picture into the illegal parking identification model so as to output a detection result. The method has the advantages of high identification efficiency, fast identification speed, and avoidance of missed shooting and wrong shooting.
本申请提出了基于tensorflow的机动车违停识别方法及应用,包括以下步骤:S00、建立样本库;S10、通过tensorflow对进行扩充;S20、通过tensorflow处理扩充后的所有抓拍图片,进行封装;S30、对所有抓拍图片进行归一化处理并输出规格一致的文件;S40、采用输出的规格一致的文件作为训练样本,通过tensorflow提供的预训练模型进行训练,得到违停识别模型;S50、监听抓拍图片的存储文件目录,当新的抓拍图片存储后,将该抓拍图片输入至违停识别模型,以输出检测结果。本申请具有识别效率高,识别速度快,避免漏拍误拍等问题发生。
Motor vehicle illegal parking identification method based on tensorflow and application
基于tensorflow的机动车违停识别方法及应用
2023-03-28
Patent
Elektronische Ressource
Chinesisch
IPC: | G06V / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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