Gesture recognition method and device, storage medium, electronic device
A gesture recognition and gesture technology, applied in the computer field, can solve the problems of low gesture recognition accuracy, no solution found, information loss, etc., to avoid overfitting, avoid accuracy reduction, and improve robustness.
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Embodiment 1
[0033] The method embodiment provided in Embodiment 1 of the present application may be executed in a server, a computer, or a similar computing device. Take running on a computer as an example, figure 1 It is a block diagram of the hardware structure of a computer according to the embodiment of the present invention. Such as figure 1 As shown, the computer may include one or more ( figure 1 Only one is shown in ) processor 102 (processor 102 may include but not limited to processing devices such as microprocessor MCU or programmable logic device FPGA) and memory 104 for storing data. Optionally, the above computer can also A transmission device 106 for communication functions and an input and output device 108 are included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and it does not limit the structure of the above-mentioned computer. For example, a computer may also include figure 1 more or fewer c...
Embodiment 2
[0061] In this embodiment, a gesture recognition device is also provided, which is used to implement the above embodiments and preferred implementation modes, and what has been explained will not be repeated here. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
[0062] Figure 6 is a structural block diagram of a gesture recognition device according to an embodiment of the present invention, such as Figure 6 As shown, the device includes: an acquisition module 60, an extraction module 62, and a detection module 64, wherein,
[0063] Obtaining module 60, for obtaining the gesture picture to be recognized;
[0064] The extraction module 62 is used to sequentially input the gesture pictures into the...
Embodiment 3
[0074] An embodiment of the present invention also provides a storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.
[0075] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:
[0076] S1, acquiring a picture of a gesture to be recognized;
[0077] S2, sequentially input the gesture pictures into a multi-layer feature extraction network, and generate multiple second-type feature maps of different sizes using the multiple first-type feature maps output by the multi-layer feature extraction network;
[0078] S3. Output gesture category information and gesture key point information by using a multi-scale detection module based on the plurality of second-type feature maps.
[0079] Optionally, in this embodiment, the above-mentioned storage medium may include but not lim...
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