3results about How to "Maximize processing efficiency" patented technology

The application discloses a distributed adaptive framing output method based on large-range remote sensing images, and relates to the technical field of remote sensing image processing. The preprocessed large-range remote sensing images are stored in a COG format, the framing size and quantity are dynamically adjusted in combination with the target area range and resolution, the tasks are distributed by a data locality perception scheduler after Z-order curve sorting, the computing nodes load the framing data with a buffer area, the framing data is interpreted by a random forest, and the buffer area is cropped, finally, the virtual data set is aggregated, efficient distributed parallel processing of the large-range images is realized, the I / O bottleneck and the computing resource limitation are effectively relieved, the context missing problem on the framing boundary is solved, the intelligent interpretation efficiency and precision are improved, and the multi-resolution on-demand rendering and elastic expansion are supported to adapt to the data scale growth.

The invention provides a display screen data processing method and system, and the method comprises the steps: S1, obtaining to-be-displayed original image data, and forming a source display data signal; s2, carrying out real-time analysis and semantic segmentation on the source display data signal, and generating a content feature signal containing attribute tags of each region according to the real-time analysis and semantic segmentation; s3, synchronously monitoring the current operation load, the available transmission bandwidth and the power consumption state of the data processing system, and generating a system state monitoring signal; s4, jointly inputting the content characteristic signal and the system state monitoring signal into a strategy decision engine, wherein a strategy control signal comprises a compression coding strategy, a rendering priority and a transmission scheduling instruction which are assigned for different content areas; and S5, according to the strategy control signal, generating and outputting a driving display signal for driving the target display screen to carry out picture display. The problems of low efficiency and overhigh energy consumption caused by the fact that resources cannot be intelligently allocated when the display screen processes the mixed content are solved.

The invention discloses a fisheye image multi-branch adaptive enhancement method and system based on hardware state perception, and the method comprises the following steps: collecting hardware parameters, such as memory utilization rate, calculation utilization rate, temperature and the like, in real time through a GPU state monitoring module, and obtaining a comprehensive budget value through normalized score and weighted summation; and the strategy selection module adaptively selects an enhancement strategy from three differentiated neural network branches of fast, balanced and high-quality in combination with a budget value and time constraint. Dynamic balance of fisheye image enhancement quality, processing efficiency and system stability is achieved, the GPU resource utilization rate is improved by 25%, the system stability is improved to 99.5% or above, real-time processing at the frame rate of 30 fps or above is supported, and the method is suitable for fisheye monitoring, vehicle-mounted surround view and other scenes and can be expanded to wide-angle image, super-resolution reconstruction and other tasks.