CN110580465A - method and device for determining product phase, storage medium and electronic device - Google Patents
method and device for determining product phase, storage medium and electronic device Download PDFInfo
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- CN110580465A CN110580465A CN201910833264.8A CN201910833264A CN110580465A CN 110580465 A CN110580465 A CN 110580465A CN 201910833264 A CN201910833264 A CN 201910833264A CN 110580465 A CN110580465 A CN 110580465A
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Abstract
the invention provides a method and a device for determining a phase, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring a target picture, wherein the target picture comprises a target object to be evaluated; acquiring the appearance characteristics of a target object of a to-be-evaluated facies in the target picture, and labeling data to be trained according to the appearance characteristics, wherein the labeled data is at least used for indicating the grade of the target object; the method comprises the steps of training an analysis model according to marked training data, analyzing the target picture according to the trained analysis model to determine the facies of the target object of the facies to be evaluated, and solving the problems that the facies of the target object is evaluated in the related technology, the evaluation is greatly influenced by artificial subjectivity, evaluation results are easily different and the like.
Description
Technical Field
the present invention relates to the field of communications, and in particular, to a method and an apparatus for determining a phase, a storage medium, and an electronic apparatus.
Background
the evaluation of the appearance of a target object (e.g., food) is a very difficult problem, and the subject effect is large and the evaluation results are different among different persons.
Aiming at the problems that the evaluation of the facies of a target object in the related technology is greatly influenced by human subjectivity, and the evaluation result is easy to have different and the like, an effective technical scheme is not provided.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining a phase, a storage medium and an electronic device, which are used for at least solving the problems that the evaluation of the phase of a target object in the related art is greatly influenced by artificial subjectivity, evaluation results are easily different and the like.
according to an embodiment of the present invention, there is provided a facies determination method including: acquiring a target picture, wherein the target picture comprises a target object to be evaluated; acquiring the appearance characteristics of a target object of a to-be-evaluated facies in the target picture, and labeling data to be trained according to the appearance characteristics, wherein the labeled data is at least used for indicating the grade of the target object; and training the analysis model according to the marked training data, and analyzing the target picture according to the trained analysis model to determine the facies of the target object of the facies to be evaluated.
in the embodiment of the present invention, labeling data to be trained according to the appearance features includes: and labeling the target picture according to a mode of segmenting the target picture so as to mark the target object in the target picture.
in an embodiment of the present invention, the method for determining the phase of the target object to be evaluated by analyzing the target image according to the trained analysis model includes: and analyzing the target picture according to the trained analysis model to determine the total phase of the target objects.
In an embodiment of the present invention, the three levels are set corresponding to the categories of the target objects, and the analyzing the target picture according to the trained analysis model to determine the total categories of the plurality of target objects includes: acquiring a score corresponding to the item of each target object;
Determining a total facies G for a plurality of the target objects according to the following formula:Wherein G is1,G2And G3The scores respectively corresponding to the three levels of the target objects are respectively shown, and m, n and k are respectively the number of the target objects of the three levels.
According to another embodiment of the present invention, there is also provided a method for determining a phase, including: the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a target picture, and the target picture comprises a target object to be evaluated; the processing module is used for acquiring the appearance characteristics of a target object of a to-be-evaluated facies in the target picture and labeling the data to be trained according to the appearance characteristics, wherein the labeled data is at least used for indicating the grade of the target object; and the determining module is used for training the analysis model according to the marked training data and analyzing the target picture according to the trained analysis model so as to determine the facies of the target object of the facies to be evaluated.
In this embodiment of the present invention, the processing module is configured to label the target picture according to a manner of segmenting the target picture, so as to mark the target object in the target picture.
In an embodiment of the present invention, the number of the target objects is multiple, and the determining module is further configured to analyze the target image according to the trained analysis model to determine a total phase of the multiple target objects.
in the embodiment of the present invention, the target object has three grades corresponding to the item, and the determining module is further configured to obtain a score corresponding to the item of each target object; determining a total facies G for a plurality of the target objects according to the following formula:wherein G is1,G2And G3The scores respectively corresponding to the three levels of the target objects are respectively shown, and m, n and k are respectively the number of the target objects of the three levels.
According to another embodiment of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, a target picture is obtained, wherein the target picture comprises a target object of a facies to be evaluated; acquiring the appearance characteristics of a target object of a to-be-evaluated facies in the target picture, and labeling data to be trained according to the appearance characteristics, wherein the labeled data is at least used for indicating the grade of the target object; the method comprises the steps of training an analysis model according to marked training data, analyzing a target picture according to the trained analysis model to determine the facies of a target object of the facies to be evaluated, solving the problems that the facies of the target object is evaluated in the related technology, the facies is greatly influenced by artificial subjectivity, evaluation results are easily different and the like, further evaluating the facies of the target object, outputting the evaluation results by inputting one picture, and removing the influence of artificial factors if the facies is evaluated through a model of a deep learning technology, wherein the evaluation results can be objective.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a facies determination method according to an embodiment of the present invention;
Fig. 2 is a block diagram of the structure of a facies determination apparatus according to an embodiment of the present invention;
Fig. 3 is a graphical representation of the phase results according to a preferred embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
An embodiment of the present invention provides a method for determining a facies, and fig. 1 is a flowchart of the method for determining a facies according to an embodiment of the present invention, and as shown in fig. 1, the flowchart includes the following steps:
step S102, obtaining a target picture, wherein the target picture comprises a target object of a facies to be evaluated;
Step S104, acquiring the appearance characteristics of a target object of a to-be-evaluated facies in the target picture, and labeling data to be trained according to the appearance characteristics, wherein the labeled data is at least used for indicating the grade of the target object;
And S106, training an analysis model according to the marked training data, and analyzing the target picture according to the trained analysis model to determine the grade of the target object of the grade to be evaluated.
According to the invention, a target picture is obtained, wherein the target picture comprises a target object of a facies to be evaluated; acquiring the appearance characteristics of a target object of a to-be-evaluated facies in the target picture, and labeling data to be trained according to the appearance characteristics, wherein the labeled data is at least used for indicating the grade of the target object; the method comprises the steps of training an analysis model according to marked training data, analyzing a target picture according to the trained analysis model to determine the facies of a target object of the facies to be evaluated, solving the problems that the facies of the target object is evaluated in the related technology, the facies is greatly influenced by artificial subjectivity, evaluation results are easily different and the like, further evaluating the facies of the target object, outputting the evaluation results by inputting one picture, and removing the influence of artificial factors if the facies is evaluated through a model of a deep learning technology, wherein the evaluation results can be objective.
In the embodiment of the present invention, labeling data to be trained according to the appearance features includes: marking the target picture according to a mode of dividing the target picture so as to mark the target object in the target picture, namely, only the concerned area can be marked on the target picture, and each food is marked into a plurality of levels defined in advance.
In an embodiment of the present invention, the method for determining the phase of the target object to be evaluated by analyzing the target image according to the trained analysis model includes: and analyzing the target picture according to the trained analysis model to determine the total phase of the target objects.
in an embodiment of the present invention, the three levels are set corresponding to the categories of the target objects, and the analyzing the target picture according to the trained analysis model to determine the total categories of the plurality of target objects includes: acquiring a score corresponding to the item of each target object;
Determining a total facies G for a plurality of the target objects according to the following formula:wherein G is1,G2And G3the scores respectively corresponding to the three levels of the target objects are respectively shown, and m, n and k are respectively the number of the target objects of the three levels.
Optionally, the target object is a food.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
in this embodiment, a phase determining apparatus is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, and the description already made is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a block diagram showing a configuration of a product phase determining apparatus according to an embodiment of the present invention, as shown in fig. 2, the apparatus including:
The acquisition module 20 is configured to acquire a target picture, where the target picture includes a target object to be evaluated;
The processing module 22 is configured to obtain an appearance feature of a target object of a to-be-evaluated facies in the target picture, and label data to be trained according to the appearance feature, where the labeled data is at least used to indicate a grade of the target object;
And the determining module 24 is configured to train the analysis model according to the labeled training data, and analyze the target picture according to the trained analysis model to determine the facies of the target object of the facies to be evaluated.
according to the invention, a target picture is obtained, wherein the target picture comprises a target object of a facies to be evaluated; acquiring the appearance characteristics of a target object of a to-be-evaluated facies in the target picture, and labeling data to be trained according to the appearance characteristics, wherein the labeled data is at least used for indicating the grade of the target object; the method comprises the steps of training an analysis model according to marked training data, analyzing a target picture according to the trained analysis model to determine the facies of a target object of the facies to be evaluated, solving the problems that the facies of the target object is evaluated in the related technology, the facies is greatly influenced by artificial subjectivity, evaluation results are easily different and the like, further evaluating the facies of the target object, outputting the evaluation results by inputting one picture, and removing the influence of artificial factors if the facies is evaluated through a model of a deep learning technology, wherein the evaluation results can be objective.
in this embodiment of the present invention, the processing module 22 is configured to label the target picture according to a manner of segmenting the target picture, so as to mark the target object in the target picture, that is, only a region of interest can be labeled on the target picture, and each food is labeled with several predefined levels.
in an embodiment of the present invention, the number of the target objects is multiple, and the determining module 24 is further configured to analyze the target image according to the trained analysis model to determine a total phase of the multiple target objects.
In the embodiment of the present invention, the target object has three grades corresponding to the categories, and the determining module 24 is further configured to obtain a score corresponding to each target object; determining a total facies G for a plurality of the target objects according to the following formula:Wherein G is1,G2and G3The scores respectively corresponding to the three levels of the target objects are respectively shown, and m, n and k are respectively the number of the target objects of the three levels.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
in order to better understand the above phase determination process, the following description is made with reference to an example, but not limited to the technical solution of the embodiment of the present invention, and specifically may include the following steps:
Step 1, determining areas of good and bad quality of different foods are different. First, different regions of interest are selected for different food products. For example, the belly of a dumpling is swollen or not swollen, and the area of the belly of the dumpling is concerned.
And 2, classifying the food into several grades, for example, classifying the dumplings into swelling, non-swelling and medium in dumpling identification, and judging the foods to be three grades of good and bad.
and 3, marking the training data by adopting a segmentation mode, so that the region only concerned can be marked, and marking each food into a plurality of predefined grades, namely marking the training data by using a marking tool. If only the swelling and non-swelling conditions of the dumplings are concerned in the dumpling labeling, the dumpling belly area is labeled as swelling, middle and the like without swelling; or as good, medium, and bad. And marking according to the actual service requirement.
And 4, training the marked data, wherein the marked data can be trained by using a segmentation network, such as a mask RCNN, FCNs, SegNet, U-net or a self-defined network.
and 5, reasoning the trained model, and referring to the following figure 3 as a result after reasoning, wherein in the figure 3, gudu1.00 shows a dumpling bulging region, not gudu1.00 shows a dumpling non-bulging region, and zhong1.00 shows a dumpling middle region between the bulging region and the non-bulging region. Therefore, the product phase of each dumpling can be obtained, and the newly appeared data is reasoned by using the trained model to obtain the final result.
And 6, obtaining the product phase of each dumpling and the product phase of the whole dumpling plate. And (3) carrying out weighted scoring on the grade of each dumpling, wherein the score of the final complete dumpling can be expressed as:Wherein G is1,G2And G3Respectively the scores of three grades of dumplings, and m, n and k are respectively threethe number of graded dumplings.
By adopting the technical scheme of the preferred embodiment, only the area with distinguishing force can be concerned, the accuracy rate of the training result is higher, in addition, the variety of each food can be obtained, the variety of the food group can also be obtained, and the expansibility of the result is better.
An embodiment of the present invention further provides a storage medium including a stored program, wherein the program executes any one of the methods described above.
Alternatively, in the present embodiment, the storage medium may be configured to store program codes for performing the following steps:
S1, acquiring a target picture, wherein the target picture comprises a target object of the facies to be evaluated;
S2, acquiring the appearance features of the target object of the to-be-evaluated facies in the target picture, and labeling the data to be trained according to the appearance features, wherein the labeled data is at least used for indicating the grade of the target object;
and S3, training the analysis model according to the marked training data, and analyzing the target picture according to the trained analysis model to determine the grade of the target object of the grade to be evaluated.
An embodiment of the present invention further provides a storage medium including a stored program, wherein the program executes any one of the methods described above.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, acquiring a target picture, wherein the target picture comprises a target object of the facies to be evaluated;
S2, acquiring the appearance features of the target object of the to-be-evaluated facies in the target picture, and labeling the data to be trained according to the appearance features, wherein the labeled data is at least used for indicating the grade of the target object;
And S3, training the analysis model according to the marked training data, and analyzing the target picture according to the trained analysis model to determine the grade of the target object of the grade to be evaluated.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
it will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only exemplary of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. a method for determining a facies, comprising:
acquiring a target picture, wherein the target picture comprises a target object to be evaluated;
acquiring the appearance characteristics of a target object of a to-be-evaluated facies in the target picture, and labeling data to be trained according to the appearance characteristics, wherein the labeled data is at least used for indicating the grade of the target object;
And training the analysis model according to the marked training data, and analyzing the target picture according to the trained analysis model to determine the facies of the target object of the facies to be evaluated.
2. The method of claim 1, wherein labeling the data to be trained according to the appearance features comprises:
And labeling the target picture according to a mode of segmenting the target picture so as to mark the target object in the target picture.
3. The method according to claim 1, wherein the target objects are a plurality of objects, and analyzing the target image according to the trained analysis model to determine the phase of the target object to be evaluated comprises:
And analyzing the target picture according to the trained analysis model to determine the total phase of the target objects.
4. The method of claim 3, wherein the target object is provided with three grades corresponding to the item, and analyzing the target picture according to the trained analysis model to determine the total item of the plurality of target objects comprises:
Acquiring a score corresponding to the item of each target object;
Determining a total facies G for a plurality of the target objects according to the following formula:
wherein G is1,G2And G3the scores respectively corresponding to the three levels of the target objects are respectively shown, and m, n and k are respectively the number of the target objects of the three levels.
5. A phase determination apparatus, comprising:
The system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a target picture, and the target picture comprises a target object to be evaluated;
The processing module is used for acquiring the appearance characteristics of a target object of a to-be-evaluated facies in the target picture and labeling the data to be trained according to the appearance characteristics, wherein the labeled data is at least used for indicating the grade of the target object;
And the determining module is used for training the analysis model according to the marked training data and analyzing the target picture according to the trained analysis model so as to determine the facies of the target object of the facies to be evaluated.
6. The apparatus of claim 5, wherein the processing module is configured to label the target picture in a manner of segmenting the target picture to mark the target object in the target picture.
7. the apparatus of claim 5, wherein the target objects are a plurality of objects, and the determining module is further configured to analyze the target image according to a trained analysis model to determine a total phase of the plurality of target objects.
8. the device of claim 7, wherein the target object has three grades corresponding to the item, and the determining module is further configured to obtain a score corresponding to the item of each target object; determining a total facies G for a plurality of the target objects according to the following formula:
wherein G is1,G2And G3the scores respectively corresponding to the three levels of the target objects are respectively shown, and m, n and k are respectively the number of the target objects of the three levels.
9. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to carry out the method of any one of claims 1 to 4 when executed.
10. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 4.
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Application publication date: 20191217 |