Image matching method, device, electronic device and storage medium
A matching method and image technology, applied in the computer field, can solve the problems of low image matching accuracy, low similarity of similar images, weak image feature representation ability, etc., and achieve good matching effect, strong representation power, and improved accuracy Effect
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Embodiment 1
[0070] This embodiment will be described from the perspective of an image matching device. The image matching device can be integrated in an electronic device, and the electronic device can be a server, or a terminal, etc.; where the terminal can include a tablet computer, a notebook computer, etc. , and personal computers (PC, Personal Computer), etc.
[0071] The image matching method of the embodiment of the present application can be applied to search for similar images in various types of recommendation scenarios. The recommendation scenarios include but are not limited to: information flow recommendation scenarios and commodity recommendation scenarios, etc., wherein the commodity recommendation scenarios can be It is an apparel product recommendation scene.
[0072] Such as figure 2 As shown, the specific process of the image matching method can be as follows:
[0073] 101. Acquire images to be matched.
[0074] In this embodiment, there are multiple ways to acquire...
Embodiment 2
[0151] According to the methods described in the foregoing embodiments, the following will take an example in which the image matching device is specifically integrated in a server for further detailed description.
[0152] The image matching method provided by the embodiment of the present application relates to technologies such as computer vision of artificial intelligence, and is specifically described through the following embodiments:
[0153] (1) The training of the neural network can be as follows:
[0154] (1) Training of the classification model.
[0155] First, training data may be acquired, the training data includes multiple training images, wherein the training images carry multiple types of objects, and the number of training images of the same object is at least two. It should be noted that the training images have labels, which refer to the types of objects carried by the images. For example, taking the training data as clothing images as an example, the tra...
Embodiment 3
[0212] In order to better implement the above method, the embodiment of the present application also provides an image matching device, such as Figure 9a shown. The image matching device may include a first acquisition unit 901, an extraction unit 902, a processing unit 903, an encoding unit 904, a second acquisition unit 905, and a determination unit 906, as follows:
[0213] (1) The first acquiring unit 901;
[0214] The first acquiring unit 901 is configured to acquire images to be matched.
[0215] In this embodiment, the first acquiring unit 901 acquires the images to be matched in various manners.
[0216] For example, when the first acquisition unit 901 receives the shooting instruction, it starts the image acquisition device of the first acquisition unit to take an image, and uses the captured image as the image to be matched, wherein the image acquisition device may be a camera or the like.
[0217] For example, the first acquiring unit 901 may also acquire the im...
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