Image processing method and device, electronic device and computer storage medium
An image processing and image technology, applied in the field of image processing, can solve problems such as low image processing efficiency, waste of memory resources, and complicated processes
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Embodiment 1
[0036] First, refer to figure 1 The electronic device 100 for implementing the embodiments of the present invention will be described, and the electronic device can be used to run the image processing methods of the various embodiments of the present invention.
[0037] Such as figure 1 As shown, the electronic device 100 includes one or more processors 102, one or more memories 104, an input device 106, an output device 108, and a camera 110. These components are connected via a bus system 112 and / or other forms of connection mechanisms (not shown). out) interconnection. It should be noted that figure 1 The components and structure of the electronic device 100 shown are only exemplary, not limiting, and the electronic device may also have other components and structures as required.
[0038] The processor 102 may be implemented in at least one hardware form of a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic array (PLA) and an ...
Embodiment 2
[0045] According to an embodiment of the present invention, an embodiment of an image processing method is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although A logical order is shown in the flowcharts, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0046] figure 2 is a flowchart of an image processing method according to an embodiment of the present invention, such as figure 2 As shown, the method includes the following steps:
[0047] Step S202, acquiring the image to be processed and the target neural network; the target neural network includes at least one convolutional layer;
[0048] The target neural network in the embodiment of the present invention specifically refers to an unpruned neural network obtained after training through training sampl...
Embodiment 3
[0138] The embodiment of the present invention also provides an image processing device, the image processing device is mainly used to execute the image processing method provided in the above content of the embodiment of the present invention, and the image processing device provided in the embodiment of the present invention will be described in detail below.
[0139] Figure 5 is a schematic diagram of an image processing device according to an embodiment of the present invention, such as Figure 5 As shown, the image processing device mainly includes an acquisition unit 10, a calculation unit 20, a pruning training unit 30 and an image processing unit 40, wherein:
[0140] An acquisition unit, configured to acquire an image to be processed and a target neural network; the target neural network includes at least one convolutional layer;
[0141] The calculation unit is used to calculate the importance of the convolution kernel in each convolution layer of the target neural...
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