CN110602827A - Kara OK light effect implementation method, intelligent projector and related product - Google Patents
Kara OK light effect implementation method, intelligent projector and related product Download PDFInfo
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- 230000001795 light effect Effects 0.000 title description 10
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- 238000011156 evaluation Methods 0.000 claims description 62
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- 240000007320 Pinus strobus Species 0.000 claims description 44
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- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
- G03B21/00—Projectors or projection-type viewers; Accessories therefor
- G03B21/14—Details
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
- G10H1/00—Details of electrophonic musical instruments
- G10H1/36—Accompaniment arrangements
- G10H1/361—Recording/reproducing of accompaniment for use with an external source, e.g. karaoke systems
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
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- Audiology, Speech & Language Pathology (AREA)
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Abstract
The embodiment of the application discloses a karaoke lighting effect implementation method, an intelligent projector and related products, which are applied to the intelligent projector, wherein the intelligent projector comprises a plurality of groups of LED stroboscopic lamps, and the method comprises the following steps: acquiring preset audio data; analyzing the preset audio data to obtain a target characteristic parameter set corresponding to the preset audio data; determining a target control parameter set corresponding to the target feature parameter set; and controlling the plurality of groups of LED stroboscopic lamps to work through the target control parameter set. By adopting the embodiment of the application, the Karaoke lighting effect can be realized, and the user experience is improved.
Description
Technical Field
The application relates to the technical field of audio and video processing, in particular to a karaoke light effect implementation method, an intelligent projector and a related product.
Background
Projection technology is commonly used in people's daily life. The projection system is used everywhere in meetings, teaching or entertainment venues.
In life, when a user wants a KTV at home, a light atmosphere cannot be created by the projector for middle and small size projectors for home and education.
Disclosure of Invention
The embodiment of the application provides a karaoke lighting effect implementation method, an intelligent projector and a related product, and can implement the karaoke lighting effect and improve user experience.
In a first aspect, an embodiment of the present application provides a method for implementing a karaoke lighting effect, which is applied to an intelligent projector, where the intelligent projector includes multiple groups of LED stroboscopic lamps, and the method includes:
acquiring preset audio data;
analyzing the preset audio data to obtain a target characteristic parameter set corresponding to the preset audio data;
determining a target control parameter set corresponding to the target feature parameter set;
and controlling the plurality of groups of LED stroboscopic lamps to work through the target control parameter set.
In a second aspect, an embodiment of the present application provides a device for realizing a karaoke lighting effect, which is applied to an intelligent projector, the intelligent projector includes a plurality of groups of LED strobe lights, and the device includes:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring preset audio data;
the analysis unit is used for analyzing the preset audio data to obtain a target characteristic parameter set corresponding to the preset audio data;
a first determining unit configured to determine a target control parameter set corresponding to the target feature parameter set;
and the control unit is used for controlling the plurality of groups of LED strobe lamps to work through the target control parameter set.
In a third aspect, an embodiment of the present application provides an intelligent projector, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has the following beneficial effects:
it can be seen that the karaoke lighting effect implementation method, the intelligent projector and the related products described in the embodiments of the present application are applied to an intelligent projector, the intelligent projector includes multiple groups of LED strobe lights, obtains preset audio data, analyzes the preset audio data to obtain a target characteristic parameter set corresponding to the preset audio data, determines a target control parameter set corresponding to the target characteristic parameter set, and controls the multiple groups of LED strobe lights to operate through the target control parameter set.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic structural diagram of an intelligent projector according to an embodiment of the present application;
fig. 1B is a schematic flowchart of a method for implementing a karaoke lighting effect according to an embodiment of the present application;
fig. 2 is a schematic flow chart of another method for implementing karaoke light effects provided in the embodiments of the present application;
fig. 3 is a schematic structural diagram of another intelligent projector provided in the embodiment of the present application;
fig. 4A is a block diagram illustrating functional units of a karaoke light effect implementing apparatus according to an embodiment of the present application;
fig. 4B is a block diagram illustrating functional units of a karaoke light effect implementation apparatus according to an embodiment of the present application.
Detailed Description
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As shown in fig. 1A, fig. 1A is a schematic structural diagram of an intelligent projector according to an embodiment of the present application. The smart projector may include a processor, Memory, signal processor, transceiver, speaker, microphone, Random Access Memory (RAM), camera, sensor, and network module, among others. The storage, the DSP, the projection device, the loudspeaker, the microphone, the RAM, the camera, the sensor and the network module are connected with the processor, and the transceiver is connected with the signal processor.
The Processor is a control center of the intelligent projector, various interfaces and lines are used for connecting all parts of the whole intelligent projector, various functions and Processing data of the intelligent projector are executed by operating or executing software programs and/or modules stored in the memory and calling data stored in the memory, so that the intelligent projector is monitored integrally, and the Processor can be a Central Processing Unit (CPU), a Graphic Processing Unit (GPU) or a Network Processor (NPU).
Further, the processor may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor.
The storage is used for storing software programs and/or modules, and the processor executes various functional applications and data processing of the intelligent projector by running the software programs and/or modules stored in the storage. The memory mainly comprises a program storage area and a data storage area, wherein the program storage area can store an operating system, a software program required by at least one function and the like; the storage data area may store data created according to the use of the smart projector, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
Wherein the sensor comprises at least one of: light-sensitive sensors, gyroscopes, infrared proximity sensors, vibration detection sensors, pressure sensors, etc. Among them, the light sensor, also called an ambient light sensor, is used to detect the ambient light brightness. The light sensor may include a light sensitive element and an analog to digital converter. The photosensitive element is used for converting collected optical signals into electric signals, and the analog-to-digital converter is used for converting the electric signals into digital signals. Optionally, the light sensor may further include a signal amplifier, and the signal amplifier may amplify the electrical signal converted by the photosensitive element and output the amplified electrical signal to the analog-to-digital converter. The photosensitive element may include at least one of a photodiode, a phototransistor, a photoresistor, and a silicon photocell.
The camera may be a visible light camera (general view angle camera, wide angle camera), an infrared camera, or a dual camera (having a distance measurement function), which is not limited herein.
The network module may be at least one of: a bluetooth module, a wireless fidelity (Wi-Fi), etc., which are not limited herein, and the projection apparatus can implement a projection function.
Above-mentioned intelligent projecting apparatus can also include multiunit LED stroboscopic lamp.
Based on the smart projector described above in fig. 1A, the following functions can be performed:
acquiring preset audio data;
analyzing the preset audio data to obtain a target characteristic parameter set corresponding to the preset audio data;
determining a target control parameter set corresponding to the target feature parameter set;
and controlling the plurality of groups of LED stroboscopic lamps to work through the target control parameter set.
It can be seen that the intelligent projector described in the embodiment of the application is applied to an intelligent projector, and the intelligent projector includes multiple groups of LED strobe lamps, acquires preset audio data, parses the preset audio data to obtain a target feature parameter set corresponding to the preset audio data, determines a target control parameter set corresponding to the target feature parameter set, and controls the multiple groups of LED strobe lamps to operate through the target control parameter set.
The following describes embodiments of the present application in detail.
Referring to fig. 1B, fig. 1B is a schematic flow chart of a method for implementing a karaoke lighting effect provided in an embodiment of the present application, and as shown in the drawing, the method is applied to an intelligent projector shown in fig. 1A, where the intelligent projector includes a plurality of groups of LED strobe lights, and the method for implementing a karaoke lighting effect includes:
101. and acquiring preset audio data.
In the embodiment of the present application, the preset audio data may be set by the user or default by the system, and the specific form may be: songs, recordings, novels, hip-hop, etc., without limitation. Specifically, for example, the preset audio data may be a currently played song, or a next song, or a humming song of the user, and so on. In a specific implementation, for example, when a user clicks on a certain song, the intelligent projector may preset the song with audio data.
102. And analyzing the preset audio data to obtain a target characteristic parameter set corresponding to the preset audio data.
In this embodiment of the present application, the target feature parameter set may be at least one of the following: the dominant frequency, the audio curve, the beat information, the melody, the singer name, the song style, and the like are not limited herein, and in specific implementation, the intelligent projector may analyze preset audio data to obtain the target characteristic parameter set.
103. Determining a target control parameter set corresponding to the target feature parameter set.
In this embodiment of the present application, the target control parameter set may include at least one of the following: the brightness of the LED strobe light, the flashing frequency of the LED strobe light, the working power of the LED strobe light, the working current of the LED strobe light, the working voltage of the LED strobe light, the light direction of the LED strobe light, the color of the LED strobe light, the rhythm of the LED strobe light and the like are not limited, the mapping relation between the characteristic parameter set and the control parameter set can be stored in the intelligent projector in advance, and then the target control parameter set corresponding to the target characteristic parameter set can be determined according to the mapping relation.
In one possible example, the target feature parameter set includes a target song style and target tempo information of the preset audio data; the step 103 of determining the control parameter set corresponding to the target feature parameter set may include the following steps:
a31, acquiring a target mapping relation set corresponding to the target song style, wherein the target mapping relation set is a mapping relation between beat information and a control parameter set;
a32, determining the target control parameter set corresponding to the target beat information according to the target mapping relation set.
The target feature parameter set may include a target song style and target tempo information, and a plurality of mapping relationship sets may be stored in the intelligent projector in advance, where each mapping relationship set is a mapping relationship between the tempo information and the control parameter set. In specific implementation, the intelligent projector can acquire a target mapping relation set corresponding to a target song style first, and then can determine a target control parameter set corresponding to target beat information according to the target mapping relation set, so that control parameters corresponding to the song style and beat can be realized, and the KTV lighting effect corresponding to the song style and beat can be realized.
In a possible example, the smart projector further includes a camera, and before the step 104, the following steps may be further included:
b1, acquiring a shot image in a shooting range through the camera;
b2, carrying out face segmentation on the shot image to obtain a plurality of face images;
b3, determining the age corresponding to each face image in the face images according to the face images to obtain a plurality of ages;
b4, determining a main control parameter set corresponding to the plurality of groups of LED stroboscopic lamps according to the ages;
then, when the target feature parameter set includes a target audio curve, the step 103 determines a target control parameter set corresponding to the target feature parameter set, which includes:
c31, extracting the wave crests and the wave troughs of the target audio curve to obtain a plurality of wave crests and a plurality of wave troughs;
c32, performing mean square error operation according to the wave crests and the wave troughs to obtain a target mean square error;
c33, determining a target control parameter adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the control parameter adjustment coefficient;
and C34, adjusting the main control parameter set according to the target control parameter adjustment coefficient to obtain the target control parameter set.
Wherein, the intelligence projecting apparatus can include the camera, and this camera can be fixed camera, also can be rotatable camera, and in addition, this camera can be single camera, also can be many cameras, and single camera can be visible light camera or infrared camera, and visible light camera can be ordinary visual angle camera, or, wide angle camera, many cameras can be two cameras, or, three cameras, or, four cameras, do not do the restriction here.
In concrete the realization, the intelligence projecting apparatus can acquire the shooting image of shooting within range through the camera, and then, can carry out face segmentation to this shooting image, obtain a plurality of face images, can confirm the age that each face image corresponds in these a plurality of face images according to these a plurality of face images, can obtain a plurality of ages, each face image corresponds an age, and then, can confirm the main control parameter set that multiunit LED strobe light corresponds according to these a plurality of ages, the main control parameter set can include following at least one: the brightness of the LED strobe, the flashing frequency of the LED strobe, the operating power of the LED strobe, the operating current of the LED strobe, the operating voltage of the LED strobe, the lighting direction of the LED strobe, the color of the LED strobe, the rhythm of the LED strobe, and the like, which are not limited herein. For example, the primary control parameter set may be determined by the age of the elderly, or may be determined by the average age of the most people in the age group.
Further, when the target feature parameter set includes the target audio curve, the intelligent projector may extract peaks and troughs of the target audio curve to obtain a plurality of peaks and a plurality of troughs, may perform a mean square error operation according to the plurality of peaks and the plurality of troughs to obtain a target mean square error, may further pre-store a mapping relationship between a preset mean square error and a control parameter adjustment coefficient in the intelligent projector, and further may determine a target control parameter adjustment coefficient corresponding to the target mean square error according to the mapping relationship between the preset mean square error and the control parameter adjustment coefficient, and adjust the master control parameter set according to the target control parameter adjustment coefficient to obtain a target control parameter set, for example, the target control parameter set is the master control parameter set (1+ target control parameter adjustment coefficient), so that the determination of parameters according to the age can be realized, and adjusting the main control parameter according to the audio frequency characteristic.
In a possible example, the step B3, determining an age corresponding to each of the face images from the face images to obtain a plurality of ages, may include the following steps:
b31, extracting the key features of the face image i to obtain a first feature point set, wherein the key features comprise: wrinkles, spots and moles, wherein the face image i is any one of the face images;
b32, extracting a second feature point set from the global features of the face image i;
b33, inputting the first feature point set into a preset neural network model to obtain a first evaluation value;
b34, inputting the second feature point set into the preset neural network model to obtain a second evaluation value;
b35, acquiring a first weight value corresponding to the key feature and a second weight value corresponding to the global feature, wherein the first weight value is greater than the second weight value, and the sum of the first weight value and the second weight value is 1;
b36, performing weighting operation according to the first evaluation value, the second evaluation value, the first weight value and the second weight value to obtain a target evaluation value;
b37, acquiring a target image quality evaluation value corresponding to the face image i;
b38, determining a target age estimation adjustment coefficient corresponding to the target image quality evaluation value according to a preset mapping relation between the image quality evaluation value and the age estimation adjustment coefficient;
b39, adjusting the target evaluation value according to the target age evaluation adjustment coefficient to obtain a final evaluation value;
and B310, determining the age corresponding to the face image i corresponding to the final evaluation value according to a preset mapping relation between the evaluation value and the age.
The preset neural network model may be at least one of the following: a recurrent neural network model, a spiking neural network model, a convolutional neural network model, and the like, which are not limited herein. In the embodiment of the application, the preset neural network model can be obtained by training face images of a large number of different ages.
In the concrete implementation, taking a face image i as an example, the face image i is any one of a plurality of face images, the intelligent projector can perform feature extraction on key features of the face image i to obtain a first feature point set, and the key features can include: wrinkles, spots, moles, key features may also include at least one of: pores, teeth, etc., without limitation. Further, a second feature point set may be extracted from the global features of the face image i, and the feature extraction may employ at least one of the following algorithms: harris corner detection, Scale Invariant Feature Transform (SIFT), SURF, pyramid, wavelet transform, and the like, without limitation. Further, the first feature point set may be input to a preset neural network model to obtain a first evaluation value, the second feature point set may be input to the preset neural network model to obtain a second evaluation value, a first weight value corresponding to a key post and a second weight value corresponding to a global feature may be stored in advance in the intelligent projector, that is, a first weight value corresponding to the key feature and a second weight value corresponding to the global feature may be obtained, the first weight value is greater than the second weight value, and a sum of the first weight value and the second weight value is 1, further, a weighting operation may be performed according to the first evaluation value, the second evaluation value, the first weight value and the second weight value to obtain a target evaluation value, which is specifically as follows:
target evaluation value first weighted value + second evaluation value second weighted value
Further, the smart projector may obtain a target image quality evaluation value corresponding to the face image i, specifically, may perform image quality evaluation on the face image i by using at least one image quality evaluation index to obtain at least one evaluation value, and perform a weighting operation according to the at least one evaluation value to obtain a final image quality evaluation value, where the image quality evaluation index may be at least one of: information entropy, edge preservation, average gray scale, signal-to-noise ratio, etc., and are not limited herein. The intelligent projector may further pre-store a mapping relationship between a preset image quality evaluation value and an age estimation adjustment coefficient, and further may determine a target age estimation adjustment coefficient corresponding to the target image quality evaluation value according to the mapping relationship between the preset image quality evaluation value and the age estimation adjustment coefficient, where a value of the age estimation adjustment coefficient may range from-0.1 to 0.1, and further may adjust the target evaluation value according to the target age estimation adjustment coefficient to obtain a final evaluation value, where the final evaluation value is a target evaluation value (1+ target age estimation adjustment coefficient), and the intelligent projector may further pre-store a mapping relationship between the preset evaluation value and the age, and further may determine an age corresponding to a face image i corresponding to the final evaluation value according to the mapping relationship between the preset evaluation value and the age, according to the method, the age of each face image can be evaluated, due to the fact that the face characteristics are different in different age stages and different in change in combination with the physiological characteristics of people in the evaluation process, the face characteristics are specifically presented at key positions, and overall characteristics including key characteristics and global characteristics are considered.
In one possible example, the step B4, determining the primary control parameter set corresponding to the plurality of groups of LED strobes according to the ages, may include the following steps:
b41, detecting whether the age exceeding a preset threshold exists in the ages;
b42, determining a main control parameter set corresponding to a target age, wherein the target age is one of the ages, and the age of the target age exceeds the preset threshold;
and B43, when the age which exceeds the preset threshold value does not exist in the ages, determining the average age of the ages, and determining a main control parameter set corresponding to the average age.
The preset threshold value can be set by the user or defaulted by the system. In specific implementation, the intelligent projector may detect whether there is an age exceeding a preset threshold in a plurality of ages, there is a target age exceeding the preset threshold in the plurality of ages, and may determine the primary control parameter set corresponding to the target age according to a mapping relationship between the preset age and the primary control parameter set, otherwise, when there is no age exceeding the preset threshold in the plurality of ages, it may determine an average age of the plurality of ages, and further, may determine the primary control parameter set corresponding to the average age according to a mapping relationship between the preset age and the primary control parameter set.
Further, in a possible example, between the step B2 and the step B3, the following steps may be further included:
d1, performing image quality evaluation on each face image in the plurality of face images to obtain a plurality of image quality evaluation values;
d2, selecting at least one target image quality evaluation value lower than a preset image quality evaluation value from the plurality of image quality evaluation values, and acquiring at least one target face image corresponding to the at least one target image quality evaluation value;
d3, performing image enhancement processing on the at least one target face image;
in the step B3, determining the age corresponding to each of the face images according to the face images to obtain a plurality of ages, which may be implemented as follows:
and determining the age corresponding to each face image in the face images according to the face images after image enhancement processing to obtain a plurality of ages.
The above image quality evaluation may refer to the above description, among others. The preset image quality evaluation value may be set by the user or default by the system. The image enhancement processing may employ at least one of the following algorithms: gray stretching, histogram equalization, wavelet transformation, image sharpening processing, and the like, which are not limited herein.
The step D3 of performing image enhancement processing on the at least one target face image may include the following steps:
d31, dividing the target face image j into a plurality of areas;
d32, determining the distribution density of the characteristic points of each area in the plurality of areas to obtain a plurality of distribution densities of the characteristic points, wherein each area corresponds to one distribution density of the characteristic points;
d33, determining a target mean square error according to the distribution densities of the plurality of feature points;
d34, determining a target image enhancement algorithm corresponding to the target mean square error according to the mapping relation between the mean square error and the image enhancement algorithm;
d35, carrying out image enhancement processing on the target face image j according to the target image enhancement algorithm.
In specific implementation, the intelligent projector may pre-store a mapping relationship between the mean square error and the image enhancement algorithm. In specific implementation, the intelligent projector may divide the target face image j into a plurality of regions, and further may determine a distribution density of feature points of each of the plurality of regions, that is, the distribution density of the feature points is equal to the total number of the feature points of the region/the region area, and may calculate a target mean square error according to the distribution density of the feature points, where the mean square error reflects the relevance of the regions to some extent, and may select different image processing algorithms according to different relevance, specifically, determine a target image enhancement algorithm corresponding to the target mean square error according to a mapping relationship between the mean square error and the image enhancement algorithm, and perform image enhancement processing on the target face image j according to the target image enhancement algorithm, so that an image enhancement effect may be improved.
104. And controlling the plurality of groups of LED stroboscopic lamps to work through the target control parameter set.
In concrete the realization, in this application embodiment, can include multiunit control parameter in the target control parameter set, each group control parameter corresponds a set of LED strobe light, and then, the intelligent projection appearance can carry out work through target control parameter set control multiunit LED strobe light, realizes the karaoke effect, for example, all can adopt this mode when family party, family KTV, builds the KTV atmosphere.
It can be seen that the method for implementing karaoke lighting effects described in the embodiment of the present application is applied to an intelligent projector, the intelligent projector includes multiple groups of LED strobe lights, obtains preset audio data, analyzes the preset audio data to obtain a target feature parameter set corresponding to the preset audio data, determines a target control parameter set corresponding to the target feature parameter set, and controls the multiple groups of LED strobe lights to operate through the target control parameter set.
Referring to fig. 2, fig. 2 is a schematic flow chart of a method for implementing a karaoke lighting effect according to an embodiment of the present application, and as shown in the figure, the method is applied to an intelligent projector shown in fig. 1A, the intelligent projector includes a plurality of groups of LED strobe lights, and the method for implementing a karaoke lighting effect includes:
201. and acquiring preset audio data.
202. And acquiring a shot image in a shooting range through the camera.
203. And carrying out face segmentation on the shot image to obtain a plurality of face images.
204. And determining the age corresponding to each face image in the face images according to the face images to obtain a plurality of ages.
205. And determining a main control parameter set corresponding to the plurality of groups of LED stroboscopic lamps according to the ages.
206. And analyzing the preset audio data to obtain a target audio curve corresponding to the preset audio data.
207. And extracting the wave crests and the wave troughs of the target audio curve to obtain a plurality of wave crests and a plurality of wave troughs.
208. And performing mean square error operation according to the plurality of wave crests and the plurality of wave troughs to obtain a target mean square error.
209. And determining a target control parameter adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the control parameter adjustment coefficient.
210. And adjusting the main control parameter set according to the target control parameter adjustment coefficient to obtain the target control parameter set.
For the detailed description of the steps 201 to 210, reference may be made to the corresponding steps of the karaoke light effect implementation method described in fig. 1B, which are not described herein again.
It can be seen that the method for implementing karaoke lighting effect described in the embodiments of the present application is applied to an intelligent projector, the intelligent projector includes a plurality of LED strobe lights, obtains preset audio data, obtains a shot image within a shooting range through a camera, performs face segmentation on the shot image to obtain a plurality of face images, determines an age corresponding to each face image in the plurality of face images according to the plurality of face images to obtain a plurality of ages, determines a master control parameter set corresponding to the plurality of LED strobe lights according to the plurality of ages, analyzes the preset audio data to obtain a target audio curve corresponding to the preset audio data, extracts peaks and troughs of the target audio curve to obtain a plurality of peaks and a plurality of troughs, performs mean square error operation according to the plurality of peaks and the plurality of troughs to obtain a target mean square error, adjusts a mapping relationship between coefficients according to the preset mean square error and the control parameters, and determining a target control parameter adjustment coefficient corresponding to the target mean square error, adjusting the main control parameter set according to the target control parameter adjustment coefficient to obtain a target control parameter set, so that specific audio data can be analyzed to obtain corresponding characteristic parameters, and the control parameters corresponding to the characteristic parameters are determined to control a plurality of groups of LED strobe lamps to work, so that the karaoke lighting effect is realized, and the user experience is improved.
Referring to fig. 3 in keeping with the above embodiments, fig. 3 is a schematic structural diagram of an intelligent projector according to an embodiment of the present application, and as shown in the drawing, the intelligent projector includes a processor, a memory, a communication interface, and one or more programs, the intelligent projector includes a plurality of LED strobe lights, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and in an embodiment of the present application, the programs include instructions for performing the following steps:
acquiring preset audio data;
analyzing the preset audio data to obtain a target characteristic parameter set corresponding to the preset audio data;
determining a target control parameter set corresponding to the target feature parameter set;
and controlling the plurality of groups of LED stroboscopic lamps to work through the target control parameter set.
It can be seen that, the intelligent projector described in the embodiment of the present application, the intelligent projector includes multiple sets of LED strobe lights, acquires preset audio data, parses the preset audio data, obtains a target feature parameter set corresponding to the preset audio data, determines a target control parameter set corresponding to the target feature parameter set, and controls the multiple sets of LED strobe lights to operate through the target control parameter set, so that specific audio data can be parsed to obtain corresponding feature parameters thereof, and determines control parameters corresponding to the feature parameters for controlling the multiple sets of LED strobe lights to operate, thereby achieving a karaoke lighting effect and improving user experience.
In one possible example, the target feature parameter set includes a target song style and target tempo information of the preset audio data;
in the aspect of determining the control parameter set corresponding to the target feature parameter set, the program includes instructions for:
acquiring a target mapping relation set corresponding to the target song style, wherein the target mapping relation set is a mapping relation between beat information and a control parameter set;
and determining the target control parameter set corresponding to the target beat information according to the target mapping relation set.
In one possible example, the smart projector further comprises a camera, and the program further comprises instructions for:
acquiring a shot image in a shooting range through the camera;
carrying out face segmentation on the shot image to obtain a plurality of face images;
determining the age corresponding to each face image in the face images according to the face images to obtain a plurality of ages;
determining a main control parameter set corresponding to the plurality of groups of LED stroboscopic lamps according to the ages;
when the target feature parameter set includes a target audio curve, the determining a target control parameter set corresponding to the target feature parameter set includes:
extracting peaks and troughs of the target audio curve to obtain a plurality of peaks and a plurality of troughs;
performing mean square error operation according to the plurality of wave crests and the plurality of wave troughs to obtain a target mean square error;
determining a target control parameter adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the control parameter adjustment coefficient;
and adjusting the main control parameter set according to the target control parameter adjustment coefficient to obtain the target control parameter set.
In one possible example, in the determining an age corresponding to each of the plurality of face images from the plurality of face images to obtain a plurality of ages, the program includes instructions for:
carrying out feature extraction on key features of the face image i to obtain a first feature point set, wherein the key features comprise: wrinkles, spots and moles, wherein the face image i is any one of the face images;
extracting a second feature point set from the global features of the face image i;
inputting the first feature point set into a preset neural network model to obtain a first evaluation value;
inputting the second feature point set into the preset neural network model to obtain a second evaluation value;
acquiring a first weight value corresponding to the key feature and a second weight value corresponding to the global feature, wherein the first weight value is greater than the second weight value, and the sum of the first weight value and the second weight value is 1;
performing weighting operation according to the first evaluation value, the second evaluation value, the first weight value and the second weight value to obtain a target evaluation value;
acquiring a target image quality evaluation value corresponding to the face image i;
determining a target age evaluation adjustment coefficient corresponding to the target image quality evaluation value according to a preset mapping relation between the image quality evaluation value and the age evaluation adjustment coefficient;
adjusting the target evaluation value according to the target age evaluation adjustment coefficient to obtain a final evaluation value;
and determining the age corresponding to the face image i corresponding to the final evaluation value according to a preset mapping relation between the evaluation value and the age.
In one possible example, in said determining the set of master control parameters corresponding to the plurality of groups of LED strobes based on the plurality of ages, the program further comprises instructions for:
detecting whether the age which exceeds a preset threshold exists in the ages;
determining a main control parameter set corresponding to a target age, wherein the target age is larger than the preset threshold value in the ages;
when the age which exceeds the preset threshold value does not exist in the ages, determining the average age of the ages, and determining a main control parameter set corresponding to the average age.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the smart projector includes a corresponding hardware structure and/or software modules for performing the respective functions in order to implement the above-described functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the functional units may be divided according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 4A is a block diagram of functional units of a karaoke light effect achieving apparatus 400 according to an embodiment of the present application. This karaoke light efficiency implementation device 400 is applied to intelligent projecting apparatus, intelligent projecting apparatus includes multiunit LED strobe light, device 400 includes: a first acquisition unit 401, a parsing unit 402, a first determination unit 403, and a control unit 404, wherein,
a first obtaining unit 401, configured to obtain preset audio data;
an analyzing unit 402, configured to analyze the preset audio data to obtain a target feature parameter set corresponding to the preset audio data;
a first determining unit 403, configured to determine a target control parameter set corresponding to the target feature parameter set;
and the control unit 404 is configured to control the multiple groups of LED stroboscopic lamps to operate according to the target control parameter set.
It can be seen that the device for realizing the karaoke lighting effect described in the embodiment of the application is applied to an intelligent projector, the intelligent projector comprises a plurality of groups of LED strobe lights, preset audio data is obtained and analyzed, a target characteristic parameter set corresponding to the preset audio data is obtained, a target control parameter set corresponding to the target characteristic parameter set is determined, and the plurality of groups of LED strobe lights are controlled to work through the target control parameter set.
In one possible example, the target feature parameter set includes a target song style and target tempo information of the preset audio data;
in the aspect of determining the control parameter set corresponding to the target feature parameter set, the first determining unit 403 is specifically configured to:
acquiring a target mapping relation set corresponding to the target song style, wherein the target mapping relation set is a mapping relation between beat information and a control parameter set;
and determining the target control parameter set corresponding to the target beat information according to the target mapping relation set.
In a possible example, the smart projector further includes a camera, as shown in fig. 4B, and fig. 4B is a further modified structure of the karaoke light effect implementation apparatus shown in fig. 4A, which may further include, compared with fig. 4A: the second obtaining unit 405, the dividing unit 406, and the second determining unit 407 are specifically as follows:
a second acquisition unit 405 configured to acquire a captured image within a capturing range by the camera;
a segmentation unit 406, configured to perform face segmentation on the captured image to obtain a plurality of face images;
a second determining unit 407, configured to determine, according to the multiple face images, an age corresponding to each of the multiple face images, so as to obtain multiple ages; determining a main control parameter set corresponding to the plurality of groups of LED stroboscopic lamps according to the ages;
when the target feature parameter set includes a target audio curve, in the aspect of determining the target control parameter set corresponding to the target feature parameter set, the first determining unit 403 is specifically configured to:
extracting peaks and troughs of the target audio curve to obtain a plurality of peaks and a plurality of troughs;
performing mean square error operation according to the plurality of wave crests and the plurality of wave troughs to obtain a target mean square error;
determining a target control parameter adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the control parameter adjustment coefficient;
and adjusting the main control parameter set according to the target control parameter adjustment coefficient to obtain the target control parameter set.
In a possible example, in the aspect that the age corresponding to each of the facial images is determined according to the facial images to obtain a plurality of ages, the second determining unit 407 is specifically configured to:
carrying out feature extraction on key features of the face image i to obtain a first feature point set, wherein the key features comprise: wrinkles, spots and moles, wherein the face image i is any one of the face images;
extracting a second feature point set from the global features of the face image i;
inputting the first feature point set into a preset neural network model to obtain a first evaluation value;
inputting the second feature point set into the preset neural network model to obtain a second evaluation value;
acquiring a first weight value corresponding to the key feature and a second weight value corresponding to the global feature, wherein the first weight value is greater than the second weight value, and the sum of the first weight value and the second weight value is 1;
performing weighting operation according to the first evaluation value, the second evaluation value, the first weight value and the second weight value to obtain a target evaluation value;
acquiring a target image quality evaluation value corresponding to the face image i;
determining a target age evaluation adjustment coefficient corresponding to the target image quality evaluation value according to a preset mapping relation between the image quality evaluation value and the age evaluation adjustment coefficient;
adjusting the target evaluation value according to the target age evaluation adjustment coefficient to obtain a final evaluation value;
and determining the age corresponding to the face image i corresponding to the final evaluation value according to a preset mapping relation between the evaluation value and the age.
In one possible example, in the aspect of determining the main control parameter set corresponding to the plurality of groups of LED stroboscopic lamps according to the plurality of ages, the second determining unit 407 is specifically configured to:
detecting whether the age which exceeds a preset threshold exists in the ages;
determining a main control parameter set corresponding to a target age, wherein the target age is larger than the preset threshold value in the ages;
when the age which exceeds the preset threshold value does not exist in the ages, determining the average age of the ages, and determining a main control parameter set corresponding to the average age.
It can be understood that the functions of the program modules of the karaoke light effect implementation apparatus in this embodiment can be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process thereof can refer to the related description of the foregoing method embodiment, which is not described herein again.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments, and the computer includes an intelligent projector.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, said computer comprising a smart projector.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A karaoke lighting effect realization method is applied to an intelligent projector, the intelligent projector comprises a plurality of groups of LED stroboscopic lamps, and the method comprises the following steps:
acquiring preset audio data;
analyzing the preset audio data to obtain a target characteristic parameter set corresponding to the preset audio data;
determining a target control parameter set corresponding to the target feature parameter set;
and controlling the plurality of groups of LED stroboscopic lamps to work through the target control parameter set.
2. The method according to claim 1, wherein the target feature parameter set includes a target song style and target tempo information of the preset audio data;
the determining a control parameter set corresponding to the target feature parameter set includes:
acquiring a target mapping relation set corresponding to the target song style, wherein the target mapping relation set is a mapping relation between beat information and a control parameter set;
and determining the target control parameter set corresponding to the target beat information according to the target mapping relation set.
3. The method of claim 1, wherein the smart projector further comprises a camera, the method further comprising:
acquiring a shot image in a shooting range through the camera;
carrying out face segmentation on the shot image to obtain a plurality of face images;
determining the age corresponding to each face image in the face images according to the face images to obtain a plurality of ages;
determining a main control parameter set corresponding to the plurality of groups of LED stroboscopic lamps according to the ages;
when the target feature parameter set includes a target audio curve, the determining a target control parameter set corresponding to the target feature parameter set includes:
extracting peaks and troughs of the target audio curve to obtain a plurality of peaks and a plurality of troughs;
performing mean square error operation according to the plurality of wave crests and the plurality of wave troughs to obtain a target mean square error;
determining a target control parameter adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the control parameter adjustment coefficient;
and adjusting the main control parameter set according to the target control parameter adjustment coefficient to obtain the target control parameter set.
4. The method of claim 3, wherein determining the age corresponding to each of the plurality of facial images from the plurality of facial images to obtain a plurality of ages comprises:
carrying out feature extraction on key features of the face image i to obtain a first feature point set, wherein the key features comprise: wrinkles, spots and moles, wherein the face image i is any one of the face images;
extracting a second feature point set from the global features of the face image i;
inputting the first feature point set into a preset neural network model to obtain a first evaluation value;
inputting the second feature point set into the preset neural network model to obtain a second evaluation value;
acquiring a first weight value corresponding to the key feature and a second weight value corresponding to the global feature, wherein the first weight value is greater than the second weight value, and the sum of the first weight value and the second weight value is 1;
performing weighting operation according to the first evaluation value, the second evaluation value, the first weight value and the second weight value to obtain a target evaluation value;
acquiring a target image quality evaluation value corresponding to the face image i;
determining a target age evaluation adjustment coefficient corresponding to the target image quality evaluation value according to a preset mapping relation between the image quality evaluation value and the age evaluation adjustment coefficient;
adjusting the target evaluation value according to the target age evaluation adjustment coefficient to obtain a final evaluation value;
and determining the age corresponding to the face image i corresponding to the final evaluation value according to a preset mapping relation between the evaluation value and the age.
5. The method of claim 3, wherein said determining the primary control parameter set corresponding to the plurality of groups of LED strobes according to the plurality of ages comprises:
detecting whether the age which exceeds a preset threshold exists in the ages;
determining a main control parameter set corresponding to a target age, wherein the target age is larger than the preset threshold value in the ages;
when the age which exceeds the preset threshold value does not exist in the ages, determining the average age of the ages, and determining a main control parameter set corresponding to the average age.
6. The utility model provides a karaoke light efficiency realizes device which characterized in that is applied to intelligent projecting apparatus, intelligent projecting apparatus includes multiunit LED strobe light, the device includes:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring preset audio data;
the analysis unit is used for analyzing the preset audio data to obtain a target characteristic parameter set corresponding to the preset audio data;
a first determining unit configured to determine a target control parameter set corresponding to the target feature parameter set;
and the control unit is used for controlling the plurality of groups of LED strobe lamps to work through the target control parameter set.
7. The apparatus according to claim 6, wherein the target feature parameter set includes a target song style and target tempo information of the preset audio data;
in the aspect of determining the control parameter set corresponding to the target feature parameter set, the first determining unit is specifically configured to:
acquiring a target mapping relation set corresponding to the target song style, wherein the target mapping relation set is a mapping relation between beat information and a control parameter set;
and determining the target control parameter set corresponding to the target beat information according to the target mapping relation set.
8. The apparatus of claim 6, wherein the smart projector further comprises a camera, the apparatus further comprising: a second obtaining unit, a dividing unit, and a second determining unit, wherein,
the second acquisition unit is used for acquiring a shot image in a shooting range through the camera;
the segmentation unit is used for carrying out face segmentation on the shot image to obtain a plurality of face images;
the second determining unit is configured to determine, according to the face images, an age corresponding to each of the face images, so as to obtain a plurality of ages; determining a main control parameter set corresponding to the plurality of groups of LED stroboscopic lamps according to the ages;
when the target feature parameter set includes a target audio curve, in the aspect of determining the target control parameter set corresponding to the target feature parameter set, the first determining unit is specifically configured to:
extracting peaks and troughs of the target audio curve to obtain a plurality of peaks and a plurality of troughs;
performing mean square error operation according to the plurality of wave crests and the plurality of wave troughs to obtain a target mean square error;
determining a target control parameter adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the control parameter adjustment coefficient;
and adjusting the main control parameter set according to the target control parameter adjustment coefficient to obtain the target control parameter set.
9. An intelligent projector comprising a processor, a memory for storing one or more programs and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
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