Vehicle identification model construction method and device and identification method and device
A technology of vehicle identification and construction method, which is applied in the field of vehicle identification model construction method and device, identification method and device, which can solve the problems of inspection personnel fatigue, human negligence, high work intensity, etc., and achieve the effect of convenient and accurate identification
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Embodiment 1
[0064] This embodiment discloses a method for constructing a vehicle identification model. The vehicle identification model constructed by this method can identify whether the vehicle is qualified. When the annual inspection of the vehicle is carried out in relevant parts, if the vehicle is modified or replaced with another vehicle, this The vehicle identification model constructed by the method of the embodiment can identify the vehicle as unqualified, and can realize the automatic or semi-automatic judgment of the vehicle modification project of the safety technical inspection under the premise of ensuring high recognition accuracy, which greatly reduces the labor cost. Increased inspection speed.
[0065] Such as figure 1 As shown, the method of this embodiment includes the following steps:
[0066] S101. Obtain a plurality of training samples, including positive training samples and negative training samples. In this embodiment, the ratio of the number of positive trainin...
Embodiment 2
[0097] This embodiment discloses a vehicle recognition model building device, such as Figure 4 As shown, the device includes:
[0098] The training sample obtaining module is used to obtain a plurality of training samples, including positive training samples and negative training samples; each training sample includes a first image and a second image; wherein, each positive training sample: the first image corresponds to a vehicle that has been published or Historical appearance photos, the second image is the appearance photo taken when the vehicle in the first image is qualified, and the label is the vehicle is qualified; each negative training sample: the first image is the corresponding published or historical appearance photo of the vehicle, and the second image is the first The exterior photos taken when the vehicle in the image is unqualified or the exterior photos taken by other vehicles are labeled as unqualified vehicles;
[0099] The first building module is used ...
Embodiment 3
[0114] This embodiment discloses a computing device, including a processor and a memory for storing executable programs of the processor. It is characterized in that, when the processor executes the program stored in the memory, the vehicle identification model construction method described in Embodiment 1 is implemented. as follows:
[0115] Obtain a plurality of training samples, including positive training samples and negative training samples; each training sample includes a first image and a second image; wherein, each positive training sample: the first image is a corresponding published or historical appearance photo of the vehicle, and the second image is the appearance photo taken when the vehicle in the first image is qualified, and the label is the vehicle is qualified; each negative training sample: the first image is the corresponding published or historical appearance photo of the vehicle, and the second image is the unqualified vehicle in the first image The app...
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