Ship detection method, device, electronic equipment and storage medium under the influence of sea waves
A technology for ship detection and ocean waves, applied in the field of artificial intelligence, can solve problems such as low accuracy and achieve the effect of improving accuracy
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Embodiment 1
[0054] This embodiment provides a method for detecting ships under the influence of waves, figure 1 It is a flow chart illustrating how to adjust and determine the actual position of a ship through feature extraction, pixel merging, and region boundary judgment of an image to be recognized according to some embodiments of the present invention. Although the processes described below include operations in a particular order, it should be clearly understood that these processes may also include more or fewer operations, which may be performed sequentially or in parallel (e.g., using parallel processors) or multi-threaded environment).
[0055] A method for detecting ships under the influence of waves provided in this embodiment, such as figure 1 shown, including the following steps:
[0056] S101. Acquire an image to be recognized.
[0057] In the above embodiment, the image to be recognized can be a video or image captured by a camera on the coast, or can be a video or image...
Embodiment 2
[0091] This embodiment provides a ship detection device under the influence of sea waves, which is used to process images containing both ships and sea waves, and the ship and sea waves coincide, so as to improve the accuracy of ship position detection. Such as figure 2 As shown, the ship detection device under the influence of waves includes:
[0092] The acquiring module 201 is configured to acquire an image to be recognized. For details, please refer to the relevant description corresponding to step S101 in the first method embodiment above, and details are not repeated here.
[0093] The extraction module 202 is configured to extract features of the ship in the image to be recognized, and output a target frame containing the image of the ship. For details, please refer to the relevant description corresponding to step S102 in Embodiment 1 of the above method, which will not be repeated here.
[0094] The intercepting module 203 is configured to intercept the image info...
Embodiment 3
[0100] This embodiment provides an electronic device, such as image 3 As shown, it includes a memory 302 and a processor 301, and the processor 301 is used to read instructions stored in the memory 302, wherein the processor 301 and the memory 302 can be connected through a bus or other methods, image 3 Take connection via bus as an example.
[0101] The processor 301 may be a central processing unit (Central Processing Unit, CPU). The processor 301 can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), graphics processors (Graphics Processing Unit, GPU), embedded neural network processors (Neural-network Processing Unit, NPU) or other Dedicated deep learning coprocessor, application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware co...
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