CN114647472B - Picture processing method, apparatus, device, storage medium, and program product - Google Patents
Picture processing method, apparatus, device, storage medium, and program product Download PDFInfo
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- 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
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Abstract
Embodiments of the present disclosure relate to a method, apparatus, device, storage medium, and program product for processing a picture, where the method includes: analyzing a configuration file, and constructing an algorithm operation time sequence diagram, wherein the algorithm operation time sequence diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes; aiming at least one input node in a plurality of input nodes, acquiring an input picture corresponding to the input node according to configuration information of the input node included in a configuration file; and sending the input picture to an algorithm running node associated with the input node so that the algorithm running node associated with the input node processes the input picture. The embodiment of the disclosure solves the problem of single input source in the image algorithm by expanding and configuring the algorithm protocol, designs the multi-input source configuration protocol of the algorithm system, and improves the function, the operation speed and the efficiency of the related algorithm.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, a storage medium, and a program product for processing a picture.
Background
The existing algorithm is based on one input picture operation to generate an algorithm result, and an algorithm system is designed around the premise of only supporting a single input source. The current single input algorithm system architecture cannot support and expand new algorithm capabilities.
Disclosure of Invention
In order to solve the technical problems, the embodiments of the present disclosure provide a method, an apparatus, a device, a storage medium, and a program product for processing a picture, which solve the problem of a single input source in a picture algorithm by expanding and configuring an algorithm protocol, and design a multi-input source configuration protocol of an algorithm system, thereby improving the operation speed and efficiency of a related algorithm.
In a first aspect, an embodiment of the present disclosure provides a method for processing a picture, where the method includes:
analyzing a configuration file, and constructing an algorithm operation time sequence diagram, wherein the algorithm operation time sequence diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes;
aiming at least one input node in a plurality of input nodes, acquiring an input picture corresponding to the input node according to configuration information of the input node included in a configuration file;
and sending the input picture to an algorithm running node associated with the input node so that the algorithm running node associated with the input node processes the input picture.
In a second aspect, an embodiment of the present disclosure provides a picture processing apparatus, including:
the system comprises a timing diagram construction module, a control module and a control module, wherein the timing diagram construction module is used for analyzing a configuration file and constructing an algorithm operation timing diagram, and the algorithm operation timing diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes;
the input image acquisition module is used for acquiring an input image corresponding to at least one input node in a plurality of input nodes according to configuration information of the input nodes included in the configuration file;
and the input picture sending module is used for sending the input picture to an algorithm operation node associated with the input node so as to enable the algorithm operation node associated with the input node to process the input picture.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including:
one or more processors;
a storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the picture processing method as described in any one of the first aspects above.
In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the picture processing method according to any one of the first aspects above.
In a fifth aspect, embodiments of the present disclosure provide a computer program product comprising a computer program or instructions which, when executed by a processor, implement a picture processing method as claimed in any one of the first aspects above.
The embodiment of the disclosure provides a picture processing method, a device, equipment, a storage medium and a program product, wherein the method comprises the following steps: analyzing a configuration file, and constructing an algorithm operation time sequence diagram, wherein the algorithm operation time sequence diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes; aiming at least one input node in a plurality of input nodes, acquiring an input picture corresponding to the input node according to configuration information of the input node included in a configuration file; and sending the input picture to an algorithm running node associated with the input node so that the algorithm running node associated with the input node processes the input picture. The embodiment of the disclosure solves the problem of single input source in the image algorithm by expanding and configuring the algorithm protocol, designs the multi-input source configuration protocol of the algorithm system, and improves the operation speed and efficiency of the related algorithm.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
Fig. 1 is a flowchart of a picture processing method in an embodiment of the disclosure;
FIG. 2 is a timing diagram of one single input algorithm operation in an embodiment of the present disclosure;
FIG. 3 is a timing diagram of a dual input algorithm operation in an embodiment of the present disclosure;
FIG. 4 is a timing diagram of another dual input algorithm operation in an embodiment of the present disclosure;
FIG. 5 is a timing diagram of a multi-input algorithm operation in an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a configuration management device in an embodiment of the disclosure;
fig. 7 is a schematic structural diagram of an electronic device in an embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The picture processing method according to the embodiment of the present application will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a picture processing method in an embodiment of the disclosure, where the method may be applied to the case of performing algorithm processing on a picture, and the method may be performed by a picture processing device, and the configuration management device may be implemented in a software and/or hardware manner, and the configuration management device may be configured in an electronic device.
For example: the electronic device may be a mobile terminal, a fixed terminal, or a portable terminal, such as a mobile handset, a site, a unit, a device, a multimedia computer, a multimedia tablet, an internet node, a communicator, a desktop computer, a laptop computer, a notebook computer, a netbook computer, a tablet computer, a Personal Communication System (PCS) device, a personal navigation device, a Personal Digital Assistants (PDA), an audio/video player, a digital camera/camcorder, a positioning device, a television receiver, a radio broadcast receiver, an electronic book device, a game device, or any combination thereof, including the accessories and peripherals of these devices or any combination thereof.
And the following steps: the electronic device may be a server, where the server may be an entity server, or may be a cloud server, and the server may be a server, or a server cluster.
As shown in fig. 1, the image processing method provided in the embodiment of the present disclosure mainly includes the following steps:
s101, analyzing a configuration file, and constructing an algorithm operation time sequence diagram, wherein the algorithm operation time sequence diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes.
Existing short video image processing algorithms are all based on algorithm results generated by running calculation on one input picture, and short video algorithm systems are often designed around a single input source. As shown in fig. 2, which is a timing diagram of the original algorithm, such an algorithm configuration only supports a single input picture. The camera frame 21 is an input picture, and the input picture is processed by an algorithm system input node blit_022 according to a pre-configured algorithm, for example, a face algorithm node face_023, a background segmentation algorithm node material_024, a background segmentation algorithm node and an expression GAN (Generative Adversarial Network) algorithm node idream_025.
However, with the continuous increase of the calculation amount of the algorithm and the iterative update of the algorithm capability, some short video algorithms need to support multiple pictures as input, such as an interactive matting algorithm and a ColorMapping algorithm, or some special prop needs to operate the algorithm based on the video frames of the camera, and users customize the picture to operate another part of algorithms, and the algorithms all require multiple input sources, so that the original algorithm configuration cannot meet the requirements. The embodiment of the disclosure provides a multi-input algorithm system based on an algorithm operation time sequence diagram structure, which can strengthen the original algorithm system and realize multi-channel input and algorithm parallel processing.
The configuration file can be understood as configuration information of an algorithm, the graphic processor (Graphics Processing Unit, GPU) data and the image processing algorithm are connected through a code language, the configuration file is processed through communication between the graphic processor (Graphics Processing Unit, GPU) data and the image processing algorithm through processing of a computer language such as a code, namely, the GPU data is transmitted to the related algorithm according to the preset, the algorithm operation time sequence diagram is an operation relation between the GPU data and the related algorithm through a representation form of a directed graph.
The input node may be understood as a node in the algorithm running time chart for receiving an input picture. The input picture may include a camera frame in a camera stream, and may also include still picture textures. The algorithm operation timing diagram provided in this embodiment includes at least 2 input nodes. Optionally, the algorithm running time sequence diagram includes 2 input nodes, one of which is used for receiving the camera frames in the camera stream, and the other is used for static picture textures, where the static picture textures may be picture textures in the album uploaded by the user, or picture textures that need to be processed separately are captured in the camera stream. It should be noted that, the input image received by the input node may be switched based on configuration or script system, for example, the input node receiving the camera frame in the camera stream may receive the still image texture, and the input node receiving the still image texture may also receive the camera frame in the camera stream.
In the present embodiment, only the number of input nodes is described, but not limited thereto.
The algorithm running node refers to a node which is directly or indirectly connected with the input node and executes preset algorithm logic. For example: the facial algorithm node is used for executing a face recognition detection algorithm, and the expression GAN algorithm is used for executing a facial expression recognition algorithm.
In one possible implementation manner, the configuration file further includes definitions of each node and dependency relationships between each node, the configuration file is parsed, and an algorithm running time sequence diagram is constructed, including: and constructing an algorithm running time sequence diagram based on the definition of each node and the dependency relationship among each node in the configuration file.
Specifically, all node information needs to be defined in the configuration file, for example, nodes define an algorithm node, and configuration parameters of the node can be defined, wherein an int type parameter defined by an intParam algorithm, namely an integer type parameter, a float type parameter defined by a floatParam algorithm, namely a floating point type parameter, and a string type parameter defined by a stringParam algorithm, namely a reference type parameter. The configuration file includes dependency relationships between each node, for example, "links" to define connection dependency relationships of the nodes, and the dependency relationships may also be understood as a sequence relationship running between two nodes, for example, node a can execute node B after executing, that is, node B depends on node a. It should be noted that the above-described node definition type case is only exemplary and not limiting.
In this embodiment, the algorithm operation timing chart is constructed through the configuration file, and the configuration file is convenient to modify, so that the algorithm operation timing chart can be conveniently modified according to different application scenarios.
S102, aiming at least one input node in a plurality of input nodes, acquiring an input picture corresponding to the input node according to configuration information of the input node included in a configuration file.
Specifically, the configuration file defines the dependency relationship of the input node and the related algorithm, and the input node acquires the input picture according to the corresponding configuration information. For example, input node 1 corresponds to a camera frame correlation algorithm, such as a background segmentation algorithm, and input node 2 corresponds to a user-defined picture algorithm, such as a face algorithm. When the camera frame data is input, the input node 1 acquires the camera frame, and when the picture texture data is input, the input node 2 acquires the picture texture.
In one possible implementation, the configuration information of the input node includes: input channels corresponding to the input nodes; obtaining a corresponding input picture according to configuration information of an input node included in a configuration file, including: and acquiring an input picture corresponding to the input node through an input channel corresponding to the input node.
Specifically, in order to support multiple input nodes, the embodiments of the present disclosure need to extend the existing algorithm system and the configuration information of the input nodes, where the configuration information of the input nodes may be implemented by fixing corresponding interface channels. For example, the key value corresponding to the blit_1 node is data_1, the data_1 input picture data needs to be consumed, the input picture data can be realized through the input channel 1, the corresponding code is "input_channel=1", and the input picture is transmitted to the blit_1 node through the channel 1, so that the related algorithm of the blit_1 node is performed.
In this embodiment, the input image corresponding to the input node is determined through the input channel, so that the input image can be accurately input to the corresponding input node.
In one possible implementation, the configuration information of the input node includes: inputting the parameter types corresponding to the nodes; obtaining a corresponding input picture according to configuration information of an input node included in a configuration file, including: and acquiring an input picture corresponding to the input node based on the parameter type corresponding to the input node.
Specifically, the input node acquires corresponding input picture data through the parameter type of the data. For example, the key value corresponding to the blit_1 node is src_data_1, the need to consume src_data_1 to input picture data can be achieved through the parameter type src of the data, the corresponding code is "input_src=src_data_1", and the input picture is transmitted to the blit_1 node in a parameter type mode, so that the related algorithm of the blit_1 node is performed.
In this embodiment, the input picture corresponding to the input node is determined by the parameter type, so that the input picture can be accurately input to the corresponding input node.
It should be noted that, in the embodiment of the present disclosure, the manner in which the input node obtains the input picture data is limited to illustration, and is not limited to specific limitation.
And S103, the input picture is sent to an algorithm operation node associated with the input node, so that the algorithm operation node associated with the input node processes the input picture.
The algorithms are mainly executed by a central processing unit (Central Processing Unit, CPU), for example, algorithms mainly aiming at the positions of the key points of the faces of the video frames, algorithms based on a 'deep learning' neural network, and the like, and the specific algorithms are not particularly limited in the embodiments of the present disclosure.
In one possible implementation, the algorithm running node associated with the input node processes the input picture, including: when each algorithm running node is associated with only one input node, the algorithm running node associated with the input node only processes the input picture corresponding to the input node associated with the algorithm running node.
Specifically, the algorithm is associated with only one input node, as shown in fig. 3, the background segmentation algorithm matrix_0 node 36 is associated with only the input blit_0 node 1, and has no relation with the input blit_1 node 2, and even if two input nodes need to perform a face algorithm, two face algorithm face_0 nodes 35 and face_1 nodes 38 respectively operate.
Specifically, as shown in fig. 3, the input blit_0 node 33 is configured to receive a camera frame 31 in a camera stream, the input blit_1 node 34 is configured to upload a picture texture 32 in a user-defined manner, the camera frame input through the blit_0 node needs to be input into the face algorithm face_0 node 35 and the background segmentation algorithm material_0 node 36 respectively, the picture texture input through the blit_1 node needs to be input into the face algorithm face_1 node 38 and the expression GAN algorithm idream_0 node 37 respectively, and the face algorithm face_1 node 38 inputs into the expression GAN algorithm idream_0 node 37 after finishing processing the picture texture. And delivering the algorithm result after the execution of the algorithm system to a rendering system for post-processing.
For example, in a short video platform, mother-node expression GAN prop playing method, video frame data needs to run a background segmentation algorithm, a user self-defined uploaded picture needs to run a face and expression GAN algorithm, a first path of input node blit_0 can be configured and input to be connected with the background segmentation algorithm in a mode of an image configuration file, and a second path of input node blit_1 is connected with the face and expression GAN algorithm.
In another example, the interactive matting algorithm in the short video platform needs to input a video frame and a mask, and then the first path of input node blit_0 and the second path of input node blit_1 can be configured by means of an image configuration file to be connected with the interactive matting algorithm node, only blit_0 processes the video frame, and blit_1 processes the mask.
In this embodiment, the algorithm running node only processes the input picture received by one input node, so as to reduce the writing difficulty of the configuration file.
In one possible implementation, the algorithm running node associated with the input node processes the input picture, including: when the same algorithm running node is associated with at least two input nodes, the algorithm running node processes at least two input node associated input pictures.
Specifically, the same algorithm is associated with a plurality of input nodes, as shown in fig. 4, the color mapping algorithm color_0 node 47 is associated with both the input blit_0 node 43 and the input blit_1 node 44, and in this application scenario, the color mapping algorithm color_0 node 47 needs two input pictures, namely, a camera frame picture and a reference picture texture, so as to calculate the final color effect.
Specifically, as shown in fig. 4, the input blit_0 node 43 is configured to receive a camera frame 41 in a camera stream, the input blit_1 node 44 is configured to user-define an upload picture texture 42, the camera frame input through the blit_0 node needs to be input into the face_0 node 45 and the background segmentation algorithm matching_0 node 46 respectively, the picture texture input through the blit_1 node 44 needs to be input into the color mapping algorithm color_0 node 47, and at the same time, the camera frame input through the blit_0 node needs to be input into the color mapping algorithm color_0 node 47, that is, the color mapping algorithm color_0 node 47 needs to be input into two input pictures, that is, the camera frame picture and the reference picture texture respectively, so as to calculate a final color effect. And delivering the algorithm result after the execution of the algorithm system to a rendering system for post-processing.
In the embodiment of the present disclosure, the input node 1 and the input node 2 are not limited specifically, for example, the blit_0 may process the image data uploaded by the user, and the blit_1 may also process the video frame data.
In this embodiment, the algorithm operation node increases the function of the algorithm operation node and simplifies the algorithm operation timing diagram according to the input image received by the input node associated with the algorithm operation node.
The algorithm system provided by the embodiment of the disclosure is not limited to only supporting two inputs of blit_0 and blit_1, can be arbitrarily expanded, and can support 3 or more inputs, and can be realized through a configuration file or script system. As shown in fig. 5, 512 input picture 1, etc., arbitrary N input pictures, input blit_0 node 521 receives camera frame 511, input blit_1 node 522 receives input picture 1, … …, and input blit_n node 52N receives input picture N. And then respectively inputting the algorithm running nodes associated with the algorithm running nodes to perform algorithm processing. For example: the camera frame 511 received by the input blit_0 node 521 is input to the alga_0 node 531 and the algb_0 node 532, respectively, the input picture 1 received by the input blit_1 node 522 is input to the algc_0 node 533, and the input picture N received by the input blit_n node 52N is input to the algn_0 node 53N.
In one possible implementation manner, the picture processing method further includes: transmitting the picture to be processed to a picture database through an application program interface or a script mode; obtaining a corresponding input picture according to the configuration information of the input node, including: and acquiring a corresponding input picture from the picture database according to the configuration information of the input node.
Specifically, the application program interface API (Application Programming Interface, API) is a predefined interface, such as a function, an http interface, etc., or refers to a convention in which different components of the software system are joined. Script files (scripts) refer to a collection of commands, such as bind and alias, that is stored as a separate file and then executed as needed for ease of use. In the embodiment of the disclosure, the camera frame, the picture uploaded by the user or other defined pictures are sent to the picture database through the API or Script, and the subsequent processing flow is not repeated.
In this embodiment, the input pictures are stored in the input picture database, and the multiple input nodes of the algorithm system can configure the picture database to obtain the corresponding input pictures according to the parameters of the nodes.
Fig. 6 is a schematic structural diagram of a picture processing device in an embodiment of the disclosure, where the embodiment is applicable to a case of performing algorithm processing on a picture, the picture processing device may be implemented in a software and/or hardware manner, and the picture processing device may be configured in an electronic device.
As shown in fig. 6, the image processing apparatus provided in the embodiment of the present disclosure mainly includes a timing chart construction module 61, an input image acquisition module 62, and an input image transmission module 63.
The timing diagram construction module 61 is configured to parse the configuration file and construct an algorithm operation timing diagram, where the algorithm operation timing diagram includes a plurality of input nodes and algorithm operation nodes associated with the input nodes;
an input picture obtaining module 62, configured to obtain, for at least one input node of the plurality of input nodes, an input picture corresponding to the input node according to configuration information of the input node included in the configuration file;
and the input picture sending module 63 is configured to send the input picture to an algorithm running node associated with the input node, so that the algorithm running node associated with the input node processes the input picture.
The embodiment of the disclosure provides a picture processing device, which is used for executing the following procedures: analyzing a configuration file, and constructing an algorithm operation time sequence diagram, wherein the algorithm operation time sequence diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes; aiming at least one input node in a plurality of input nodes, acquiring an input picture corresponding to the input node according to configuration information of the input node included in a configuration file; and sending the input picture to an algorithm running node associated with the input node so that the algorithm running node associated with the input node processes the input picture.
In one possible implementation, the configuration information of the input node includes: input interfaces corresponding to the input nodes; the input image obtaining module 62 is specifically configured to obtain an input image corresponding to the input node through an input interface corresponding to the input node.
In one possible implementation, the configuration information of the input node includes: inputting the parameter types corresponding to the nodes; the input image obtaining module 62 is specifically configured to obtain an input image corresponding to the input node based on the parameter type corresponding to the input node.
In one possible implementation, the timing diagram construction module 61 is specifically configured to construct an algorithm running timing diagram based on the definitions of the nodes and the dependency relationships between the nodes in the configuration file.
In one possible implementation, the algorithm running node associated with the input node processes the input picture, including: when each algorithm running node is associated with only one input node, the algorithm running node associated with the input node only processes the input picture corresponding to the input node associated with the algorithm running node.
In one possible implementation, the algorithm running node associated with the input node processes the input picture, including: when the same algorithm running node is associated with at least two input nodes, the algorithm running node processes at least two input node associated input pictures.
In one possible embodiment, the apparatus further comprises: the picture to be processed sending module is used for sending the picture to be processed to the picture database through an application program interface or a script mode; the input picture obtaining module 62 is further configured to obtain a corresponding input picture from the picture database according to the configuration information of the input node.
The image processing device provided in the embodiments of the present disclosure may execute steps executed by the image processing method provided in the embodiments of the present disclosure, and specific execution steps and beneficial effects are not described herein in detail.
Fig. 7 is a schematic structural diagram of an electronic device in an embodiment of the disclosure. Referring now in particular to fig. 7, a schematic diagram of an electronic device 700 suitable for use in implementing embodiments of the present disclosure is shown. The electronic device 700 in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), wearable terminal devices, and the like, and fixed terminals such as digital TVs, desktop computers, smart home devices, and the like. The terminal device shown in fig. 7 is only one example, and should not impose any limitation on the functions and scope of use of the embodiments of the present disclosure.
As shown in fig. 7, the electronic apparatus 700 may include a processing device (e.g., a central processor, a graphic processor, etc.) 701, which may perform various suitable actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage device 708 into a Random Access Memory (RAM) 703 to implement a picture rendering method of an embodiment as described in the present disclosure. In the RAM 703, various programs and data necessary for the operation of the terminal apparatus 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
In general, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the terminal device 700 to communicate with other devices wirelessly or by wire to exchange data. While fig. 7 shows a terminal device 700 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts, thereby implementing the page skip method as described above. In such an embodiment, the computer program may be downloaded and installed from a network via communication device 709, or installed from storage 708, or installed from ROM 702. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 701.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer-readable medium carries one or more programs which, when executed by the terminal device, cause the terminal device to: analyzing a configuration file, and constructing an algorithm operation time sequence diagram, wherein the algorithm operation time sequence diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes; aiming at least one input node in a plurality of input nodes, acquiring an input picture corresponding to the input node according to configuration information of the input node included in a configuration file; and sending the input picture to an algorithm running node associated with the input node so that the algorithm running node associated with the input node processes the input picture.
Alternatively, the terminal device may perform other steps described in the above embodiments when the above one or more programs are executed by the terminal device.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including, but not limited to, an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing method, including: analyzing a configuration file, and constructing an algorithm operation time sequence diagram, wherein the algorithm operation time sequence diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes; aiming at least one input node in a plurality of input nodes, acquiring an input picture corresponding to the input node according to configuration information of the input node included in a configuration file; and sending the input picture to an algorithm running node associated with the input node so that the algorithm running node associated with the input node processes the input picture.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing method, the configuration information of the input node includes: input interfaces corresponding to the input nodes; obtaining a corresponding input picture according to configuration information of an input node included in a configuration file, including: and acquiring an input picture corresponding to the input node through an input interface corresponding to the input node.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing method, the configuration information of the input node includes: inputting the parameter types corresponding to the nodes; obtaining a corresponding input picture according to configuration information of an input node included in a configuration file, including: and acquiring an input picture corresponding to the input node based on the parameter type corresponding to the input node.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing method, where the configuration file further includes definitions of each node and dependency relationships between each node, parses the configuration file, and constructs an algorithm running timing diagram, including: and constructing an algorithm running time sequence diagram based on the definition of each node and the dependency relationship among each node in the configuration file.
According to one or more embodiments of the present disclosure, there is provided a picture processing method, in which an algorithm running node associated with an input node processes the input picture, including: when each algorithm running node is associated with only one input node, the algorithm running node associated with the input node only processes the input picture corresponding to the input node associated with the algorithm running node.
According to one or more embodiments of the present disclosure, there is provided a picture processing method, in which an algorithm running node associated with an input node processes the input picture, including: when the same algorithm running node is associated with at least two input nodes, the algorithm running node processes at least two input node associated input pictures.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing method further including: transmitting the picture to be processed to a picture database through an application program interface or a script mode; obtaining a corresponding input picture according to the configuration information of the input node, including: and acquiring a corresponding input picture from the picture database according to the configuration information of the input node.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing apparatus including: analyzing a configuration file, and constructing an algorithm operation time sequence diagram, wherein the algorithm operation time sequence diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes; aiming at least one input node in a plurality of input nodes, acquiring an input picture corresponding to the input node according to configuration information of the input node included in a configuration file; and sending the input picture to an algorithm running node associated with the input node so that the algorithm running node associated with the input node processes the input picture.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing apparatus, the configuration information of the input node includes: input interfaces corresponding to the input nodes; the input picture obtaining module 62 is specifically configured to include: and acquiring an input picture corresponding to the input node through an input interface corresponding to the input node.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing apparatus, the configuration information of the input node includes: inputting the parameter types corresponding to the nodes; the input image acquisition module is specifically configured to acquire an input image corresponding to the input node based on the parameter type corresponding to the input node.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing apparatus, where the configuration file further includes definitions of each node and dependency relationships between each node, parses the configuration file, and constructs an algorithm running timing diagram, including: and constructing an algorithm running time sequence diagram based on the definition of each node and the dependency relationship among each node in the configuration file.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing apparatus, wherein the timing diagram construction module is specifically configured to, when each algorithm running node is associated with only one input node, process only an input picture corresponding to the input node associated with the algorithm running node associated with the input node.
According to one or more embodiments of the present disclosure, there is provided a picture processing apparatus, the algorithm running node associated with an input node processes the input picture, including: when the same algorithm running node is associated with at least two input nodes, the algorithm running node processes at least two input node associated input pictures.
According to one or more embodiments of the present disclosure, the present disclosure provides a picture processing apparatus, the apparatus further comprising: the picture to be processed sending module is used for sending the picture to be processed to the picture database through an application program interface or a script mode; the input picture acquisition module is further used for acquiring corresponding input pictures from the picture database according to the configuration information of the input nodes.
According to one or more embodiments of the present disclosure, the present disclosure provides an electronic device comprising:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement any of the configuration management methods as provided by the present disclosure.
According to one or more embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a picture processing method as any one of the present disclosure provides.
The disclosed embodiments also provide a computer program product comprising a computer program or instructions which, when executed by a processor, implement the picture processing method as described above.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims.
Claims (8)
1. A picture processing method, the method comprising:
analyzing a configuration file, and constructing an algorithm operation time sequence diagram, wherein the algorithm operation time sequence diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes;
aiming at least one input node in a plurality of input nodes, acquiring an input picture corresponding to the input node according to configuration information of the input node included in the configuration file; the configuration information of the input node includes: input channels corresponding to the input nodes; acquiring an input picture corresponding to the input node according to configuration information of the input node included in the configuration file, including: acquiring an input picture corresponding to the input node through an input channel corresponding to the input node; alternatively, the configuration information of the input node includes: inputting the parameter types corresponding to the nodes; acquiring an input picture corresponding to the input node according to configuration information of the input node included in the configuration file, including: acquiring an input picture corresponding to the input node based on the parameter type corresponding to the input node;
And sending the input picture to the algorithm running node associated with the input node so that the algorithm running node associated with the input node processes the input picture.
2. The method of claim 1, wherein the configuration file further includes definitions of each node and dependencies between each node,
analyzing the configuration file, constructing an algorithm running time sequence diagram, and comprising the following steps:
and constructing an algorithm running time sequence diagram based on the definition of each node and the dependency relationship among each node in the configuration file.
3. The method of claim 1, wherein an algorithm running node associated with an input node processes the input picture, comprising:
when each algorithm running node is associated with only one input node, the algorithm running node associated with the input node only processes the input picture corresponding to the input node associated with the algorithm running node.
4. The method of claim 1, wherein an algorithm running node associated with an input node processes the input picture, comprising:
when the same algorithm running node is associated with at least two input nodes, the algorithm running node processes at least two input node associated input pictures.
5. The method according to claim 1, wherein the method further comprises:
transmitting the picture to be processed to a picture database through an application program interface or a script mode;
obtaining a corresponding input picture according to the configuration information of the input node, including:
and acquiring a corresponding input picture from the picture database according to the configuration information of the input node.
6. A picture processing apparatus, the apparatus comprising:
the system comprises a timing diagram construction module, a control module and a control module, wherein the timing diagram construction module is used for analyzing a configuration file and constructing an algorithm operation timing diagram, and the algorithm operation timing diagram comprises a plurality of input nodes and algorithm operation nodes associated with the input nodes;
the input picture acquisition module is used for acquiring an input picture corresponding to at least one input node in a plurality of input nodes according to configuration information of the input nodes included in the configuration file; wherein the configuration information of the input node includes: input channels corresponding to the input nodes; acquiring an input picture corresponding to the input node according to configuration information of the input node included in the configuration file, including: acquiring an input picture corresponding to the input node through an input channel corresponding to the input node; alternatively, the configuration information of the input node includes: inputting the parameter types corresponding to the nodes; acquiring an input picture corresponding to the input node according to configuration information of the input node included in the configuration file, including: acquiring an input picture corresponding to the input node based on the parameter type corresponding to the input node;
And the input picture sending module is used for sending the input picture to an algorithm operation node associated with the input node so as to enable the algorithm operation node associated with the input node to process the input picture.
7. An electronic device, the electronic device comprising:
one or more processors;
a storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-5.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-5.
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