CN109684498A - Operation method, general-purpose platform and the storage medium of image analysis algorithm model - Google Patents
Operation method, general-purpose platform and the storage medium of image analysis algorithm model Download PDFInfo
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- CN109684498A CN109684498A CN201811570952.1A CN201811570952A CN109684498A CN 109684498 A CN109684498 A CN 109684498A CN 201811570952 A CN201811570952 A CN 201811570952A CN 109684498 A CN109684498 A CN 109684498A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
Abstract
The embodiment of the invention discloses operation method, general-purpose platform and the storage medium of a kind of image analysis algorithm model, method comprises determining that image algorithm model to be run；Normal pictures data are obtained by the interface of the image algorithm model；Algorithm analysis and tag processes are carried out to normal pictures data, to obtain label data；Label data is handled according to the rule list that user creates, to obtain meeting the target data of user policy table；Tag processes are carried out to target data, and all data are stored in database, while the target data for meeting user policy table being yearned for and is sent.Implement the embodiment of the present invention, operation, using image analysis algorithm model when, developer is not required to additionally build corresponding operation platform, reduces resource waste, reduces costs and improves efficiency.
Description
Technical field
The present invention relates to field of computer technology, and in particular to a kind of operation method of image analysis algorithm model, general
Platform and storage medium.
Background technique
As the exploitation and realization application popularization of Video Analysis Technology are extensive, more and more image recognition algorithm models
(SDK) it is developed.Algorithm development personnel while developing image algorithm model, also to go to build one it is matched
Algorithm model operation platform, for acquire image, decoding image, Access Algorithm, storage data.And algorithm operation platform is
The key that can check algorithm model effectively be applied.
Video image acquisition currently on the market, analytical equipment are many kinds of, and brand is different, application field also phase not to the utmost
Together, do not have versatility.Developer is to adapt to current existing digital image acquisition, analytical equipment, often to be spent a large amount of
Time and cost go to build algorithm model operation platform.
Summary of the invention
It a kind of operation method for being designed to provide image analysis algorithm model of the embodiment of the present invention, general-purpose platform and deposits
Storage media, operation, using image analysis algorithm model when, developer is not required to additionally build corresponding operation platform, reduce
The wasting of resources reduces cost and improves efficiency.
To achieve the above object, in a first aspect, the embodiment of the invention provides a kind of operations of image analysis algorithm model
Method, comprising:
Determine image algorithm model to be run；
Normal pictures data are obtained by the image algorithm model interface to be run；
Algorithm analysis and tag processes are carried out to the normal pictures, to obtain label data；
The label data is handled according to the rule list that user creates, to obtain meeting the target of user policy table
Data；
Tag processes are carried out to the target data, and all data are stored in database, while user policy will be met
The target data of table is externally sent, wherein all data include meeting the target data of user policy table and not meeting user to advise
The then data of table.
As a kind of preferred embodiment of the application, before determining image algorithm model to be run, the method is also
Include:
Video source data is set, processing is decoded to obtain the normal pictures data to the video source data.
As a kind of preferred embodiment of the application, after obtaining the normal pictures data, the method also includes:
The normal pictures data are stored to shared data pond.
Second aspect, the embodiment of the invention also provides a kind of suitable for the general flat of image analysis algorithm model running
Platform, comprising:
Determination unit, for determining image algorithm model to be run；
Acquiring unit, for obtaining normal pictures data by the interface of the image algorithm model to be run；
Processing unit is used for:
Algorithm analysis and tag processes are carried out to the normal pictures, to obtain label data；
The label data is handled according to the rule list that user creates, to obtain meeting the target of user policy table
Data；
Tag processes are carried out to the target data, and all data are stored in database, while user policy will be met
The target data of table is externally sent, wherein all data include meeting the target data of user policy table and not meeting user to advise
The then data of table.
As a kind of preferred embodiment of the application, the processing unit is also used to:
Video source data is set, processing is decoded to obtain the normal pictures data to the video source data.
As a kind of preferred embodiment of the application, the general-purpose platform further includes shared data pond, for storing
State normal pictures data.
The third aspect, the embodiment of the invention also provides a kind of suitable for the general flat of image analysis algorithm model running
Platform, including processor, input equipment, output equipment and memory, the processor, input equipment, output equipment and memory
It is connected with each other, wherein the memory is for storing computer program, and the computer program includes program instruction, the place
Reason device is configured for calling described program instruction, the method for executing above-mentioned first aspect.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored with computer
Program, the computer program include program instruction, and described program instruction when being executed by a processor executes the processor
The method of above-mentioned first aspect.
Implement the embodiment of the present invention, first determines image algorithm model to be run, pass through the interface of the image algorithm model
Normal pictures data are obtained, then algorithm analysis and tag processes are carried out to normal pictures data, to obtain label data, then root
The label data is handled according to the rule list that user creates, to obtain meeting the target data of user policy table, to mesh
It marks data and carries out tag processes, and all data are stored in database, while the target data for meeting user policy table is external
It sends；Implement the embodiment of the present invention, operation, using image analysis algorithm model when, developer is not required to additionally build correspondence
Operation platform, reduce resource waste, reduce costs and improve efficiency.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar appended drawing reference.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 is the schematic flow diagram of the operation method for the image analysis algorithm model that first embodiment of the invention provides；
Fig. 2 is the schematic flow diagram of the operation method for the image analysis algorithm model that second embodiment of the invention provides；
Fig. 3 is the structure for the general-purpose platform suitable for image analysis algorithm model running that first embodiment of the invention provides
Schematic diagram；
Fig. 4 is the structure for the general-purpose platform suitable for image analysis algorithm model running that second embodiment of the invention provides
Schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " and "comprising" instruction
Described feature, entirety, step, operation, the presence of element and/or component, but one or more of the other feature, whole is not precluded
Body, step, operation, the presence or addition of element, component and/or its set.It is also understood that the institute in this description of the invention
The term used is merely for the sake of being not intended to limit the present invention for the purpose of describing particular embodiments.Such as in description of the invention
With it is used in the attached claims like that, other situations unless the context is clearly specified, otherwise singular
" one ", "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt
Be construed to " when ... " or " once " or " in response to determination " or " in response to detecting ".Similarly, phrase " if it is determined that " or
" if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true
It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
It should be noted that the operation method of image analysis algorithm model provided in an embodiment of the present invention, it is logical to rely on one
It will be described in detail in subsequent embodiment with the specific introduction of platform, the general-purpose platform.
Referring to FIG. 1, being the operation method for the image analysis algorithm model that first embodiment of the invention provides, as schemed institute
Show, this method may comprise steps of:
S101 determines image algorithm model to be run.
S102 obtains normal pictures data by the interface of the image algorithm model to be run.
Wherein, the normal pictures data are by being decoded processing gained to video source data.
S103 carries out algorithm analysis and tag processes to the normal pictures data, to obtain label data.
S104 is handled the label data according to the rule list that user creates, to obtain meeting user policy table
Target data, and to target data carry out tag processes.
All data are stored in database, while the target data for meeting user policy table externally being sent by S105.
Wherein, all data include the target data for meeting user policy table and the data for not meeting user policy table.
Implement the embodiment of the present invention, first determines image algorithm model to be run, pass through the interface of the image algorithm model
Normal pictures data are obtained, then algorithm analysis and tag processes are carried out to normal pictures data, to obtain label data, then root
The label data is handled according to the rule list that user creates, to obtain meeting the target data of user policy table, to mesh
It marks data and carries out tag processes, and all data are stored in database, while the target data for meeting user policy table is external
It sends；Implement the embodiment of the present invention, operation, using image analysis algorithm model when, developer is not required to additionally build correspondence
Operation platform, reduce resource waste, reduce costs and improve efficiency.
Referring to FIG. 2, being the operation method for the image analysis algorithm model that second embodiment of the invention provides, as schemed institute
Show, this method may comprise steps of:
Video source data is arranged in S201.
S202 is decoded processing to video source data to obtain normal pictures data.
S203 stores normal pictures data to shared data pond.
It should be noted that supporting mainstream video camera brand to decoding video stream, major video transport protocol includes but not
It is only limitted to GB28181, RTSP, RTMP, RTP etc..Shared data pond provide the databases such as Redis, HBase or Kafka,
The data sharing transmission mode of the Information frames such as RabbitMQ.
Specifically, platform is decoded processing to the bottom video source data of various formats, to obtain standard compliant figure
Sheet data, and store into shared data pond.
S204, user create rule list.
S205 determines image algorithm model to be run.
Specifically, judge whether to add image algorithm model (SDK), if addition, a kind of image algorithm model is selected to make
For image algorithm model to be run.
S206 obtains normal pictures data by the interface of image algorithm model to be run.
S207 carries out algorithm analysis and tag processes to normal pictures data, to obtain label data.
Specifically, image algorithm model to be run obtains normal pictures data by interface from shared data pond, right
Normal pictures data process analysis and data label, to obtain label data.That is, normal pictures data are handled, it is defeated
Image, semantic data out, and labeling is carried out to the content analyzed.
S208 is handled label data according to the rule list that user creates, to obtain meeting the mesh of user policy table
Data are marked, and tag processes are carried out to target data.
All data are stored in database, while the target data for meeting user policy table externally being sent by S209.
Wherein, database purchase supports the databases such as mysql, Elasticsearch；All data include meeting user's rule
The then target data of table and the data for not meeting user policy table.
Implement the embodiment of the present invention, first determines image algorithm model to be run, pass through the interface of the image algorithm model
Normal pictures data are obtained, then algorithm analysis and tag processes are carried out to normal pictures data, to obtain label data, then root
The label data is handled according to the rule list that user creates, to obtain meeting the target data of user policy table, to mesh
It marks data and carries out tag processes, and all data are stored in database, while the target data for meeting user policy table is external
It sends；Compared with prior art, the operation method of the image analysis algorithm model of the present embodiment has the advantages that
(1) sealing packet is automatically generated when algorithm model (SDK) access platform, securely and reliably；
(2) compatibility is high；
(3) algorithm model (SDK) operating procedure is simplified, is eliminated from platform is built, is reduced costs, improve effect
Rate；
(4) image information saves complete, and user is facilitated to search for examination result；
(5) picture semantic data are exported, analysis content tab dissolves into library, improves recall precision.
(6) application distribution formula calculation method improves platform and calculates operational efficiency.
Correspondingly, provided by above-described embodiment on the basis of the operation method of image analysis algorithm model, the present invention
Embodiment additionally provides a kind of general-purpose platform suitable for image analysis algorithm model running.As shown in figure 3, the general-purpose platform can
To include:
Determination unit 10, for determining image algorithm model to be run；
Acquiring unit 11, for obtaining normal pictures data, institute by the interface of the image algorithm model to be run
Normal pictures data are stated by being decoded processing gained to video source data；
Processing unit 12, is used for:
Algorithm analysis and tag processes are carried out to the normal pictures data, to obtain label data；
The label data is handled according to the rule list that user creates, obtains meeting user policy table to obtain
Target data；
Tag processes are carried out to the target data, and all data are stored in database, while user policy will be met
The target data of table is externally sent, wherein all data include meeting the target data of user policy table and not meeting user to advise
The then data of table.
Further, which is also used to:
Video source data is set, processing is decoded to obtain the normal pictures data to the video source data.
Preferably, which further includes shared data pond, for storing normal pictures data.
It should be noted that the specific workflow of the general-purpose platform please refers to the description of preceding method embodiment part,
Details are not described herein.
Implement the embodiment of the present invention general-purpose platform, operation, using image analysis algorithm model when, developer is not required to
Corresponding operation platform is additionally built, reduce resource waste, reduce costs and improves efficiency.
To sum up, by the general-purpose platform, video decoding resource and storage scheme can be provided for user, provide mark for user
The video frame images information of standardization, makes user be absorbed in algorithm optimization and business, without being concerned about the format of bottom video.In addition,
User can add and subtract algorithm model (SDK) in the state that platform is run does not influence other existing algorithms without restarting platform
Model SDK business.
Further, the base of the method for image analysis algorithm model running and general-purpose platform provided by above-described embodiment
On plinth, another embodiment of the present invention additionally provides a kind of general-purpose platform suitable for image analysis algorithm model running.Such as Fig. 4 institute
Show, should suitable for image analysis algorithm model running general-purpose platform, may include: one or more processors 101, one or
Multiple input equipments 102, one or more output equipment 103 and memory 104, it is above-mentioned processor 101, input equipment 102, defeated
Equipment 103 and memory 104 are connected with each other by bus 105 out.Memory 104 is for storing computer program, the calculating
Machine program includes program instruction, and the processor 101 is configured for calling described program instruction execution above method embodiment
Partial method.
It should be appreciated that in embodiments of the present invention, alleged processor 101 can be central processing unit (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at
Reason device is also possible to any conventional processor etc..
Input equipment 102 may include keyboard etc., and output equipment 103 may include display (LCD etc.), loudspeaker etc..
The memory 104 may include read-only memory and random access memory, and to processor 101 provide instruction and
Data.The a part of of memory 104 can also include nonvolatile RAM.For example, memory 104 can also be deposited
Store up the information of device type.
In the specific implementation, processor 101 described in the embodiment of the present invention, input equipment 102, output equipment 103 can
Implementation described in the embodiment of video data handling procedure provided in an embodiment of the present invention is executed, it is no longer superfluous herein
It states.
Implement the embodiment of the present invention general-purpose platform, operation, using image analysis algorithm model when, developer is not required to
Corresponding operation platform is additionally built, reduce resource waste, reduce costs and improves efficiency.
Correspondingly, the embodiment of the invention provides a kind of computer readable storage medium, the computer-readable storage mediums
Matter is stored with computer program, and the computer program includes program instruction, and described program instructs realization when being executed by processor:
The operation method of above-mentioned image analysis algorithm model.
The computer readable storage medium can be the internal storage unit of system described in aforementioned any embodiment, example
Such as the hard disk or memory of system.The computer readable storage medium is also possible to the External memory equipment of the system, such as
The plug-in type hard disk being equipped in the system, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card) etc..Further, the computer readable storage medium can also be wrapped both
The internal storage unit for including the system also includes External memory equipment.The computer readable storage medium is described for storing
Other programs and data needed for computer program and the system.The computer readable storage medium can be also used for temporarily
When store the data that has exported or will export.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware
With the interchangeability of software, each exemplary composition and step are generally described according to function in the above description.This
A little functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Specially
Industry technical staff can use different methods to achieve the described function each specific application, but this realization is not
It is considered as beyond the scope of this invention.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.In addition, shown or discussed phase
Mutually between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication of device or unit
Connection is also possible to electricity, mechanical or other form connections.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.Some or all of unit therein can be selected to realize the embodiment of the present invention according to the actual needs
Purpose.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, is also possible to two or more units and is integrated in one unit.It is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection scope subject to.
Claims (8)
1. a kind of operation method of image analysis algorithm model characterized by comprising
Determine image algorithm model to be run；
Normal pictures data are obtained by the image algorithm model interface to be run；
Algorithm analysis and tag processes are carried out to the normal pictures data, to obtain label data；
The label data is handled according to the rule list that user creates, to obtain meeting the number of targets of user policy table
According to；
Tag processes are carried out to the target data, and all data are stored in database, while user policy table will be met
Target data is externally sent, wherein all data include meeting the target data of user policy table and not meeting user policy table
Data.
2. the operation method of image analysis algorithm model as described in claim 1, which is characterized in that determine image to be run
Before algorithm model, the method also includes:
Video source data is set, processing is decoded to obtain the normal pictures data to the video source data.
3. the operation method of image analysis algorithm model as claimed in claim 2, which is characterized in that obtain the normal pictures
After data, the method also includes:
The normal pictures data are stored to shared data pond.
4. a kind of general-purpose platform suitable for image analysis algorithm model running characterized by comprising
Determination unit, for determining image algorithm model to be run；
Acquiring unit, for obtaining normal pictures data by the interface of the image algorithm model to be run；
Processing unit is used for:
Algorithm analysis and tag processes are carried out to the normal pictures data, to obtain label data；
The label data is handled according to the rule list that user creates, to obtain meeting the number of targets of user policy table
According to；
Tag processes are carried out to the target data, and all data are stored in database, while user policy table will be met
Target data is externally sent, wherein all data include meeting the target data of user policy table and not meeting user policy table
Data.
5. being suitable for the general-purpose platform of image analysis algorithm model running as claimed in claim 4, which is characterized in that the place
Reason unit is also used to:
Video source data is set, processing is decoded to obtain the normal pictures data to the video source data.
6. being suitable for the general-purpose platform of image analysis algorithm model running as claimed in claim 5, which is characterized in that described logical
It further include shared data pond with platform, for storing the normal pictures data.
7. a kind of general-purpose platform suitable for image analysis algorithm model running, which is characterized in that set including processor, input
Standby, output equipment and memory, the processor, input equipment, output equipment and memory are connected with each other, wherein described to deposit
For reservoir for storing computer program, the computer program includes program instruction, and the processor is configured for calling institute
Program instruction is stated, the method according to claim 1 is executed.
8. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence, the computer program include program instruction, and described program instruction executes the processor such as
The described in any item methods of claim 1-3.
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Inventor after: Wang Jiawan Inventor after: Chen Shijun Inventor before: Wang Jiawan Inventor before: Pan Sen Inventor before: Chen Shijun |
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Application publication date: 20190426 |