Reflective garment recognition method and device, computer equipment and readable storage medium
A recognition method and reflective clothing technology, applied in the field of pattern recognition, can solve problems such as high false detection rate, affecting recognition accuracy, and large construction site scenes, and achieve the effects of suppressing false detection rate, improving classification accuracy, and improving accuracy
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Embodiment 1
[0031]The embodiment of the present application provides a method for identifying reflective clothing. Through this method, pedestrians wearing reflective clothing in images of people captured by monitoring devices such as cameras are identified. Through this method, the accuracy of reflective clothing identification can be prompted. Then, when it is recognized that pedestrians are not wearing reflective clothing, they will call the police in time to improve the accuracy of the alarm. Specifically, figure 1 The flow chart of the reflective clothing identification method provided in Embodiment 1 of the present application, such as figure 1 As shown, the reflective clothing identification method provided in this embodiment includes the following steps S101 to S103.
[0032] Step S101: Obtain a person image.
[0033] Specifically, the person image data in the person image database to be recognized can be read as the person image, or the monitoring image data output by the upstre...
Embodiment 2
[0081] Corresponding to the above-mentioned first embodiment, the second embodiment of the present application provides a reflective clothing identification device, corresponding technical feature details and corresponding technical effects can refer to the above-mentioned first embodiment, and will not be repeated in this embodiment. Figure 4 The block diagram of the reflective clothing identification device provided for the second embodiment of the present application, such as Figure 4 As shown, the device includes: an acquisition module 201 , a detection module 202 and a classification module 203 .
[0082] The acquisition module 201 is used to acquire a person image; it is used to determine the pedestrian area image in the person image through the pedestrian detection model; and the classification module 203 is used to determine the classification of the pedestrian area image through the reflective clothing classification model, wherein, The classification includes a fir...
Embodiment 3
[0090] Embodiment 3 also provides a computer device, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack server, a blade server, a tower server or a cabinet server (including an independent server, Or a server cluster composed of multiple servers), etc. Such as Figure 5 As shown, the computer device 01 in this embodiment at least includes but is not limited to: a memory 012 and a processor 011 that can communicate with each other through a system bus, such as Figure 5 shown. It should be pointed out that, Figure 5 Only the computer device 01 is shown with components memory 012 and processor 011, but it should be understood that implementing all of the illustrated components is not a requirement and that more or fewer components may instead be implemented.
[0091] In this embodiment, the memory 012 (that is, a readable storage medium) includes a flash memory, a hard disk, a multimedia card, a card-type memory (for example, SD or DX m...
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