CN108282696A - A kind of hardware resource distribution method that sequence frame image plays - Google Patents
A kind of hardware resource distribution method that sequence frame image plays Download PDFInfo
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- CN108282696A CN108282696A CN201810122045.4A CN201810122045A CN108282696A CN 108282696 A CN108282696 A CN 108282696A CN 201810122045 A CN201810122045 A CN 201810122045A CN 108282696 A CN108282696 A CN 108282696A
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000013468 resource allocation Methods 0.000 claims description 10
- 238000012544 monitoring process Methods 0.000 description 4
- 238000005457 optimization Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/4424—Monitoring of the internal components or processes of the client device, e.g. CPU or memory load, processing speed, timer, counter or percentage of the hard disk space used
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
- G06F9/5016—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals the resource being the memory
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
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- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Databases & Information Systems (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses the hardware resource distribution methods that a kind of sequence frame image plays, including：Step 1）Set memory occupies threshold value and CPU occupies threshold value and broadcast strategy；Step 2）The sequence frame image file to be played is obtained, which includes multiple image；Step 3）Each frame image is sequentially input in CPU and is decoded, and is obtained respectively when playing the sequence frame image file, the EMS memory occupation situation occupied is needed；Step 4）It is compared according to the threshold value of EMS memory occupation situation and setting, and dynamically distributes the broadcast mode of image according to preset strategy.
Description
Technical Field
The invention belongs to the field of computers, and belongs to a hardware resource allocation method for playing sequence frame images.
Background
At present, in the prior art, a serial frame image is directly decoded and added into a memory, or the image is decoded in real time during playing, a high memory is required, and a high CPU is required.
The occupation of a CPU and a memory is high, and particularly under the condition of limited hardware resources of the intelligent mobile equipment, the situation that the memory or the CPU occupies a large amount of image with a large sequence frame size can occur when the image with the large sequence frame size is played, so that the mobile phone is hot and stuck.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a hardware resource allocation method for playing sequence frame images, which can solve the problems existing in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a hardware resource allocation method for playing sequence frame images comprises the following steps:
step 1) setting a memory occupation threshold value, a CPU occupation threshold value and a play strategy;
step 2) acquiring a sequence frame image file to be played, wherein the sequence frame file comprises a plurality of frame images;
step 3) inputting each frame image into a CPU for decoding, and respectively acquiring the memory occupation condition occupied when the sequence frame image file is played;
and 4) comparing the memory occupation situation with a set threshold value, and dynamically distributing the playing mode of the image according to a preset strategy.
Preferably, in step 4), if the image occupies the Memory GIF _ Memory > Free Memory Free _ Memory-Memory Threshold Memory _ Threshold, the sequence frame image file is played based on a real-time decoding manner of the CPU.
Preferably, in step 4), if the image occupies the Memory GIF _ Memory < Free Memory Free _ Memory-Memory Threshold Memory _ Threshold, the image is played in a Memory loading manner.
Preferably, when the real-time decoding mode is based on the CPU, each frame of image is cyclically decoded in real time by the CPU, and only the image of the current frame is stored in the memory.
Preferably, the playing is performed in a memory loading manner, including: the sequence frame image is decoded and then is completely added into the memory, and CPU decoding consumption is not generated during playing.
Preferably, the image occupies the Memory GIF _ Memory ＊ the width of the Memory is ＊, and the number of bytes occupied by each pixel is ＊ frames, so as to calculate the size of the Memory space occupied by the image when the image is completely loaded into the Memory.
Preferably, the method further comprises the following steps: and acquiring the occupation condition of a memory and a CPU for playing the current frame image, and adjusting the playing mode of the image in real time according to a preset strategy.
Preferably, when the Free Memory Free _ Memory < Memory Threshold Memory _ Threshold and the CPU occupies CPU _ Used < CPU Threshold CPU _ Threshold, the Memory occupied by the sequence frame image is released while switching to the CPU play mode.
Preferably, when the Free Memory Free _ Memory > Memory Threshold Memory _ Threshold and the CPU occupies the CPU _ Used > CPU Threshold CPU _ Threshold, it is determined whether the switching condition is satisfied; if the switching condition is met, the mode is switched to the memory mode, namely the sequence frame images are decoded and then are all added into the memory, and the CPU decoding consumption is not generated during playing.
Preferably, when the Free Memory Free _ Memory < Memory Threshold Memory _ Threshold and the CPU occupies the CPU _ Used > CPU Threshold CPU _ Threshold, the CPU switches to the CPU play mode, and cyclically decodes each frame of image in real time through the CPU, where only the image of the current frame is in the Memory.
The invention dynamically adjusts the playing strategy of the sequence frame image by monitoring the use condition of the CPU and the memory, achieves the optimization of resource allocation and has good effect.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The present invention will be described in detail below with reference to the accompanying drawings so that the above advantages of the present invention will be more apparent. Wherein,
FIG. 1 is a schematic diagram of a hardware resource allocation method for sequential frame image playback according to the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
Additionally, the steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions and, although a logical order is illustrated in the flow charts, in some cases, the steps illustrated or described may be performed in an order different than here.
Sequence frame image: an image file consisting of an ordered set of image cells, one frame after the other, is commonly known as a GIF format image.
The technical problems to be solved by the invention are as follows:
1. the comprehensive performance optimization of the mobile equipment when playing more images with larger size of the sequence frame is solved.
2. The power consumption and the scalding condition of the mobile equipment are reduced when the sequence frame images are played.
As shown in fig. 1, a method for allocating hardware resources for playing sequence frame images includes:
step 1) setting a memory occupation threshold value, a CPU occupation threshold value and a play strategy;
step 2) acquiring a sequence frame image file to be played, wherein the sequence frame file comprises a plurality of frame images;
step 3) inputting each frame image into a CPU for decoding, and respectively acquiring the memory occupation condition occupied when the sequence frame image file is played;
and 4) comparing the memory occupation situation with a set threshold value, and dynamically distributing the playing mode of the image according to a preset strategy.
Preferably, in step 4), if the image occupies the Memory GIF _ Memory > Free Memory Free _ Memory-Memory Threshold Memory _ Threshold, the sequence frame image file is played based on a real-time decoding manner of the CPU.
Preferably, in step 4), if the image occupies the Memory GIF _ Memory < Free Memory Free _ Memory-Memory Threshold Memory _ Threshold, the image is played in a Memory loading manner.
Preferably, when the real-time decoding mode is based on the CPU, each frame of image is cyclically decoded in real time by the CPU, and only the image of the current frame is stored in the memory.
Preferably, the playing is performed in a memory loading manner, including: the sequence frame image is decoded and then is completely added into the memory, and CPU decoding consumption is not generated during playing.
Preferably, the image occupies the Memory GIF _ Memory ＊ the width of the Memory is ＊, and the number of bytes occupied by each pixel is ＊ frames, so as to calculate the size of the Memory space occupied by the image when the image is completely loaded into the Memory.
Preferably, the method further comprises the following steps: and acquiring the occupation condition of a memory and a CPU for playing the current frame image, and adjusting the playing mode of the image in real time according to a preset strategy.
Preferably, when the Free Memory Free _ Memory < Memory Threshold Memory _ Threshold and the CPU occupies CPU _ Used < CPU Threshold CPU _ Threshold, the Memory occupied by the sequence frame image is released while switching to the CPU play mode.
Preferably, when the Free Memory Free _ Memory > Memory Threshold Memory _ Threshold and the CPU occupies the CPU _ Used > CPU Threshold CPU _ Threshold, it is determined whether the switching condition is satisfied; if the switching condition is met, the mode is switched to the memory mode, namely the sequence frame images are decoded and then are all added into the memory, and the CPU decoding consumption is not generated during playing.
Preferably, when the Free Memory Free _ Memory < Memory Threshold Memory _ Threshold and the CPU occupies the CPU _ Used > CPU Threshold CPU _ Threshold, the CPU switches to the CPU play mode, and cyclically decodes each frame of image in real time through the CPU, where only the image of the current frame is in the Memory.
The invention dynamically adjusts the playing strategy of the sequence frame image by monitoring the use condition of the CPU and the memory, achieves the optimization of resource allocation and has good effect.
In a detailed embodiment, the method specifically includes:
1. suppose that a GIF file with a width of 1024 x 1024 and containing 64 frames of images needs to be played
2. If the GIF file is decoded, the images are all stored in the Memory for playing, and the Memory required to be occupied at the moment is Memory ＊ wide, ＊ high, ＊ bytes occupied by each pixel, 1024, 4, 64, 256MB
Which takes up 256 megabytes of memory. This size of memory is very large for mobile devices and may cause applications to crash because the memory is full.
In the scheme, three kinds of sequence frame image playing modes are provided:
and the mode 1 is a CPU playing mode, namely, each frame of image is circularly decoded in real time through a CPU, and only the image of the current frame exists in the memory. This mode will generate a certain consumption for the CPU;
and 2, a memory mode, namely, the sequence frame image is decoded and then is completely added into a memory, so that the CPU decoding consumption is not generated during playing, and the consumption of a CPU and electric quantity can be effectively reduced.
The scheme achieves the optimization processing of resources by monitoring the use conditions of a CPU and a memory and dynamically controlling the loading mode of the sequence frame image.
1) The method provided by the system can monitor the use conditions of the system CPU and the Memory, and monitor the CPU occupancy rate CPU _ Used and the equipment Memory Free size Free _ Memory.
2) Setting 2 thresholds CPU _ Threshold 80% means that CPU occupancy is 80%, and Memory _ Threshold 50 means that the device has remaining Memory free 50 in units of MB.
3) Before loading the sequential frame images, the Memory space occupied by the images when all the images are loaded into the Memory can be calculated according to the formula that the GIF _ Memory is ＊ wide and ＊ bytes occupied by each pixel are ＊ frames.
4) Compare GIF _ Memory with Free _ Memory:
a. if the GIF _ Memory > Free _ Memory-Memory _ Threshold, it is indicated that the residual Memory cannot meet the total loading of the sequence frame images, and the sequence frame images can only be played in a CPU real-time decoding mode.
b. If the GIF _ Memory is less than Free _ Memory-Memory _ Threshold, the fact that the residual Memory meets all loading of the sequence frame images is indicated, and the consumption of a CPU is reduced by adopting a Memory loading mode.
5) After the sequential frame image starts to be played in any mode, the following calculation is performed in the monitoring callback of the CPU and the memory:
a. when Free _ Memory < Memory _ Threshold and CPU _ Used < CPU _ Threshold, that is, when the Free Memory is smaller than the Threshold set by us and the CPU occupancy does not reach the Threshold, the Memory occupancy is high at this time, and the Memory occupied by the sequence frame image needs to be released and switched to the CPU play mode.
b. When Free _ Memory > Memory _ Threshold and CPU _ Used > CPU _ Threshold, namely the idle Memory is larger than the set Threshold and the CPU occupancy exceeds the Threshold, the CPU occupancy is higher at the moment, the mode needs to be switched to the Memory mode, and the consumption of the CPU is reduced. However, before switching, the operation of 4) is performed to see whether the switching condition is satisfied
c. When Free _ Memory < Memory _ Threshold and CPU _ Used > CPU _ Threshold, that is, when the Free Memory is smaller than the Threshold set by us and the CPU occupancy exceeds the Threshold, the CPU and the Memory are both occupied higher, and the CPU will switch to the CPU playing mode, because the program may crash due to the continuous Memory occupancy.
The invention has the beneficial effects that: and the hardware resource allocation is reasonably carried out, so that the application is smoother, and the consumption of a CPU and electric quantity is reduced.
It should be noted that for simplicity of description, the above method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A hardware resource allocation method for playing sequence frame images is characterized by comprising the following steps:
step 1) setting a memory occupation threshold value, a CPU occupation threshold value and a play strategy;
step 2) acquiring a sequence frame image file to be played, wherein the sequence frame file comprises a plurality of frame images;
step 3) inputting each frame image into a CPU for decoding, and respectively acquiring the memory occupation condition occupied when the sequence frame image file is played;
and 4) comparing the memory occupation situation with a set threshold value, and dynamically distributing the playing mode of the image according to a preset strategy.
2. The method for allocating hardware resources for playing sequence frame images according to claim 1, wherein in step 4), if the image occupied Memory GIF _ Memory > Free Memory Free _ Memory-Memory Threshold Memory _ Threshold, the sequence frame image file is played based on a real-time decoding manner of the CPU.
3. The method for allocating hardware resources for playing sequence frame images according to claim 1, wherein in step 4), if the image occupies Memory GIF _ Memory < Free Memory Free _ Memory-Memory Threshold Memory _ Threshold, then the image is played in a Memory loading manner.
4. The hardware resource allocation method for playing sequence frame images according to claim 2, wherein based on the real-time decoding mode of the CPU, each frame of image is cyclically decoded in real time by the CPU, and only the image of the current frame is stored in the memory.
5. The method for allocating hardware resources for playing sequence frame images according to claim 3, wherein the playing is performed in a memory loading manner, including: the sequence frame image is decoded and then is completely added into the memory, and CPU decoding consumption is not generated during playing.
6. The method of claim 1, wherein the image occupies a Memory GIF _ Memory that is wider than ＊ and has ＊ bytes per pixel occupied by ＊ frames, so as to calculate the amount of Memory space occupied by the image when the image is loaded into the Memory.
7. The method for allocating hardware resources for playing back sequential frame images according to claim 1, further comprising: and acquiring the occupation condition of a memory and a CPU for playing the current frame image, and adjusting the playing mode of the image in real time according to a preset strategy.
8. The method according to claim 7, wherein when Free Memory Free _ Memory < Memory Threshold Memory _ Threshold and CPU _ Used < CPU Threshold CPU _ Threshold, then the Memory occupied by the sequence frame images is released and switched to CPU play mode.
9. The method according to claim 7, wherein when Free Memory Free _ Memory > Memory Threshold Memory _ Threshold and CPU occupies CPU _ Used > CPU Threshold CPU _ Threshold, it is determined whether the switching condition is satisfied; if the switching condition is met, the mode is switched to the memory mode, namely the sequence frame images are decoded and then are all added into the memory, and the CPU decoding consumption is not generated during playing.
10. The method as claimed in claim 7, wherein when Free Memory Free _ Memory < Memory Threshold Memory _ Threshold and CPU occupies CPU _ Used > CPU Threshold CPU _ Threshold, then switching to CPU play mode, and decoding each frame image in real time by CPU, only the image of the current frame is in the Memory.
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| CN201810122045.4A CN108282696A (en) | 2018-02-07 | 2018-02-07 | A kind of hardware resource distribution method that sequence frame image plays |
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| CN110418061A (en) * | 2019-08-26 | 2019-11-05 | Oppo广东移动通信有限公司 | Image processing method, image processor, camera arrangement and electronic equipment |
| CN113722058A (en) * | 2021-06-16 | 2021-11-30 | 荣耀终端有限公司 | Resource calling method and electronic equipment |
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