CN111669577A - Hardware decoding detection method and device, electronic equipment and storage medium - Google Patents
Hardware decoding detection method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a hardware decoding detection method and device, electronic equipment and a storage medium. The method comprises the following steps: respectively carrying out software decoding and hardware decoding on the obtained test sequence to obtain decoded image data; determining an input frame number and an output frame number when the test sequence is subjected to hardware decoding, calculating a hard decoding delay corresponding to the test sequence according to the input frame number and the output frame number, and taking the input frame number, the output frame number and video width and height data corresponding to decoded image data as video parameters; and matching the decoded image data, the video parameters and the hard delay with preset detection conditions to determine a hardware decoding detection result of the electronic equipment to be detected. According to the technical scheme provided by the embodiment of the invention, whether the electronic equipment to be tested can carry out hardware decoding on the test sequence is respectively judged by adopting the decoded image data, the video parameters and the hard solution delay, and the hardware decoding detection result is determined by a plurality of judgment results, so that the accuracy of the hardware decoding detection result is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a hardware decoding detection method and device, electronic equipment and a storage medium.
Background
With the development of multimedia technology, people are more and more accustomed to playing videos by using electronic devices such as smart phones. For example, people watch videos or live broadcasts through various software clients installed on smartphones.
At present, a video file received by a software client is encoded data, and if the video file needs to be decoded for playing. Hard decoders can play an important role in video decoding. The hard decoder completes video decoding work independently through a special integrated circuit chip, and the decoding efficiency is greatly improved. However, the hard decoders have numerous versions, and the video file formats that different versions of hard decoders can decode may differ, resulting in a problem with the reliability of decoding by the hard decoders. The decoding capability of a hard decoder of an electronic device is typically known by testing the hard decoder. In the related art test scheme, the method for testing whether the hard decoder is available or not by manually observing the display effect of the decoded image has the problem of low test accuracy.
Disclosure of Invention
The embodiment of the invention provides a hardware decoding detection method and device, electronic equipment and a storage medium, which can improve the detection accuracy.
In a first aspect, an embodiment of the present invention provides a hardware decoding detection method, including:
respectively carrying out software decoding and hardware decoding on the obtained test sequence to obtain decoded image data;
determining an input frame number and an output frame number when the test sequence is subjected to hardware decoding, calculating a hard solution delay corresponding to the test sequence according to the input frame number and the output frame number, and taking the input frame number, the output frame number and video width and height data corresponding to the decoded image data as video parameters;
and matching the decoded image data, the video parameters and the hard delay and preset detection conditions, and determining a hardware decoding detection result of the electronic equipment to be detected according to the matching result, wherein the preset detection conditions are used for judging whether the electronic equipment to be detected supports hardware decoding of the test sequence.
In a second aspect, an embodiment of the present invention provides a hardware decoding detection apparatus, including:
the sequence decoding module is used for respectively carrying out software decoding and hardware decoding on the obtained test sequence to obtain decoded image data;
a parameter determining module, configured to determine an input frame number and an output frame number when the test sequence is subjected to hardware decoding, calculate a hard solution delay corresponding to the test sequence according to the input frame number and the output frame number, and use the input frame number, the output frame number, and video width and height data corresponding to the decoded image data as video parameters;
and the detection result determining module is used for matching the decoded image data, the video parameters and the hard delay and preset detection conditions and determining a hardware decoding detection result of the electronic equipment to be detected according to the matching result, wherein the preset detection conditions are used for judging whether the electronic equipment to be detected supports hardware decoding of the test sequence.
In a third aspect, an embodiment of the present invention provides an electronic device, where the electronic device includes:
one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the hardware decoding detection method according to any embodiment of the present invention
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a hardware decoding detection method according to any embodiment of the present invention.
The embodiment of the invention provides a hardware decoding detection method, a device, electronic equipment and a storage medium, wherein software decoding and hardware decoding are respectively carried out on a test sequence to obtain decoded image data, video parameters and hard de-delay, the decoded image data, the video parameters and the hard de-delay are matched with preset detection conditions to obtain a judgment result whether the corresponding electronic equipment to be detected can decode the test sequence by hardware, and a hardware decoding detection result is obtained through a plurality of judgment results, so that the accuracy of the hardware decoding detection result is improved, and the problem of low accuracy of the detection result caused by a test mode of manually observing the display effect of the decoded image is solved.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
fig. 1 is a flowchart of a hardware decoding detection method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a test sequence in a hardware decoding detection method according to an embodiment of the present invention;
fig. 3 is a schematic view of a test interface of a hardware decoding detection method according to an embodiment of the present invention;
FIG. 4 is a flowchart of another hardware decoding detection method according to an embodiment of the present invention;
FIG. 5 is a flowchart of another hardware decoding detection method according to an embodiment of the present invention;
fig. 6 is a signaling diagram of a client requesting a video file according to an embodiment of the present invention;
FIG. 7 is a flowchart of another hardware decoding detection method according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a hardware decoding detection apparatus according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures. In addition, the embodiments and features of the embodiments in the present invention may be combined with each other without conflict.
For convenience of understanding, terms related to the embodiments of the present invention are explained below.
Hardware decoding: techniques for decoding video streams via an image processor (GPU) or other hardware chip of an electronic device.
Software decoding: the technique of decoding a video stream by a software application installed on an electronic device requires occupying processing resources of a CPU on the electronic device when decoding by the software application.
A hard decoder: a hard decoder is code running on a GPU or other video specific chip that implements hardware decoding functions.
A soft decoder: a soft decoder is code running on a CPU that implements a software decoding function.
Fig. 1 is a flowchart of a hardware decoding detection method according to an embodiment of the present invention, where the method may be executed by a hardware decoding detection apparatus according to an embodiment of the present invention, the apparatus may be implemented in a software and/or hardware manner, and is integrated in an electronic device executing the method, where the electronic device may be an intelligent terminal such as a smart phone, a tablet computer, a notebook computer, or a vehicle-mounted entertainment terminal. As shown in fig. 1, the method includes:
and step 110, respectively carrying out software decoding and hardware decoding on the obtained test sequence to obtain decoded image data.
In the embodiment of the present invention, the test sequence may be part or all of the video streams that are selected from the video streams that are encoded by different encoding standards and have different resolutions according to the test requirements. The selected test sequence may be taken as the target test sequence. There are many ways to obtain the test sequence, and the present invention is not particularly limited. For example, standard test sequences may be downloaded from the internet. Alternatively, if the video source file is grasped, a video processing tool may be used to generate a test sequence corresponding to the video source file.
It should be noted that the length of the image data of each frame in the video stream used to generate the test sequence may be determined. And recording the length of each frame of image data as code stream length data in a test sequence. For example, a setting field for recording the length of one frame of image data may be defined in the test sequence. The number of setting fields is the same as the number of frames of image data. Fig. 2 is a schematic diagram of a test sequence in a hardware decoding detection method according to an embodiment of the present invention. As shown in fig. 2, the setting field 210 is spaced apart from the storage field 220 storing one frame of image data, and the setting field 210 is used for storing the length of the image data in the immediately adjacent storage field 220.
Illustratively, test sequences encoded using different encoding standards and having different resolutions are obtained. It should be noted that the test sequence includes a software coding type test sequence and a hardware coding type test sequence. Typically, the type of test sequence will vary from operating system to operating system. Fig. 3 is a schematic test interface diagram of a hardware decoding detection method according to an embodiment of the present invention. As shown in fig. 3, the test interface shows options of encoding standards, resolutions, software coding, and hardware coding, wherein the hardware coding further includes hardware coding types under different operating systems, for example, an android hard coding type and an iOS hard coding type, and the like. And (4) the detection personnel selects the options, clicks the test starting button, and generates test requirements according to the options selected by the detection personnel. And according to the test requirement, testing the target test sequence which meets the test requirement in the obtained test sequences which are coded by different coding standards and have different resolutions. It should be noted that the target test sequence includes a software-coding type test sequence and a hardware-coding type test sequence. For example, for an electronic device under test whose operating system is android, a test sequence of the android hardware coding type and a test sequence of the software coding type of the same coding standard and resolution are included.
The decoded image data is image data obtained by decoding the test sequence. For example, software decoding is performed on a test sequence to obtain soft-solution image data, and hardware decoding is performed on the same test sequence to obtain hard-solution image data.
It should be noted that there are multiple test sequences corresponding to the same coding standard and resolution, and each test sequence is used as a target test sequence to perform hardware decoding detection.
In an embodiment of the present invention, a soft decoder corresponding to the coding standard of the target test sequence is created. And inputting the target test sequence into a soft decoder, and performing software decoding on the target test sequence through the soft decoder to obtain soft-decoding image data and first video-bandwidth high data corresponding to the soft-decoding image data. A hard decoder corresponding to the coding standard of the target test sequence is created. And inputting the target test sequence into a hard decoder, and carrying out hardware coding on the target test sequence through the hard decoder to obtain hard-decoding image data and second video-bandwidth high data corresponding to the hard-decoding image data.
In decoding the target test sequence by the hard decoder, the compressed image data is input to the hard decoder frame by frame. For example, the starting thread creates a hard decoder, and the code stream length data stored in the set field in the target test sequence is sequentially read. And sequentially reading the compressed image data corresponding to the set field from the target test sequence according to the code stream length data. And inputting the compressed image data into a hard decoder for decoding to obtain each frame of hard-decoded image data.
Wherein the video parameter is an attribute parameter of the test sequence. For example, the video parameters may include the video width and height of the test sequence, and the number of input frames and output frames when the hard decoder decodes the test sequence, etc. The hard decoding delay represents the frame number difference between the input frame number and the output frame number when the hard decoder outputs the hard decoded image data of the first frame. For example, assuming that the input frame number is 10 frames when it is detected that the hard decoder outputs the first frame of hard-decoded image data, it is determined that the hard decoding delay is 9 frames.
It should be noted that, since the compressed image data is input to the hard decoder on a frame-by-frame basis, the decoded image data is also output decoded on a frame-by-frame basis by the hard decoder. Every time one frame of compressed image data is input to the hard decoder, the input frame number counter is incremented by 1 to count the total input frame number. If the hard-decoded image data output by the hard decoder is detected, the output frame number counter is increased by 1 to count the total output frame number.
The hard solution delay is the frame number difference between the input frame number and the output frame number when the hard decoder outputs the first frame hard solution image data, so that the input frame number counter can be read to obtain the input frame number when the hard decoder outputs the first frame hard solution image data, and the hard solution delay can be calculated according to the input frame number.
And step 130, matching the decoded image data, the video parameters and the hard delay and preset detection conditions, and determining a hardware decoding detection result of the electronic equipment to be detected according to the matching result.
The preset detection condition is used for judging whether the electronic equipment to be detected supports the hardware decoding test sequence. It should be noted that, if the electronic device under test supports hardware decoding of the test sequence, the electronic device under test also supports hardware decoding of a video file having the same attribute as the test sequence. For example, the same attribute may include an encoding standard and a resolution.
It should be noted that after the decoded image data, the video parameters, and the hard latency of a target test sequence are obtained, reference results of hardware decoding detection of the electronic device to be tested are determined based on the decoded image data, the video parameters, and the hard latency, respectively, and a hardware decoding detection result is determined according to each reference result of the hardware decoding detection.
And if the hard solution image data and the soft solution image data corresponding to the same target test sequence are compared, determining that a first reference result of hardware decoding detection of the electronic device to be tested is available if the pixel values of the hard solution image data and the soft solution image data are equal. If the first video width and the second video width corresponding to the same target test sequence are compared, and if the first video width and the second video width are the same, it is determined that a second reference result of hardware decoding detection of the electronic device to be tested is available. And determining that a third reference result of the hardware decoding detection of the electronic device to be detected is available if the hard solution delay is smaller than a preset frame delay threshold. And determining that a fourth reference result of hardware decoding detection of the electronic device to be detected is available if the input frame number and the output frame number corresponding to the same target test sequence are the same. If all the reference results are available, determining that the electronic equipment to be tested supports hardware decoding target test sequences; otherwise, determining that the electronic equipment to be tested does not support the hardware decoding target test sequence. According to the technical scheme of the embodiment of the invention, the test sequence is subjected to software decoding and hardware decoding respectively to obtain the decoded image data, the video parameters and the hard solution delay, the decoded image data, the video parameters and the hard solution delay are matched with the preset detection conditions to obtain the judgment result of whether the corresponding electronic equipment to be detected can decode the test sequence by hardware, the hardware decoding detection result is determined by a plurality of judgment results, the accuracy of the hardware decoding detection result is improved, and the problem of low accuracy of the detection result caused by the adoption of a test mode of manually observing the display effect of the decoded image is avoided.
Fig. 4 is a flowchart of another hardware decoding detection method according to an embodiment of the present invention. This embodiment is a further optimization of the above embodiment, as shown in fig. 4, the method includes:
And generating a test requirement according to the operation of the detection personnel on the options displayed in the test interface. Or determining the test requirement according to a preset test strategy. The test strategy may be to select a test sequence of a hardware coding type and a test sequence of a software coding type corresponding to an operating system after matching the operating system of the electronic device to be tested, and then sequentially test the test sequences of different resolutions in different coding formats, and the like.
In this embodiment, when it is detected that a test event is triggered, a test requirement is acquired. The conditions for triggering the test event may be various, and the embodiment of the present invention is not particularly limited. For example, a test event is triggered when a start test button is detected to be pressed. Alternatively, a test event is triggered when a display test decode is detected. Alternatively, assuming that a preset gesture is detected while the test interface is displayed, a test event is triggered. Alternatively, since the software decoding comparison occupies the processing resource of the CPU, the test event may be triggered only when the occupancy rate of the CPU is detected to be less than the set threshold. For example, upon detecting that the start test button is pressed, the occupancy of the CPU is acquired, and if the CPU occupancy is less than a set threshold, a test event is triggered.
And 420, selecting a target test sequence from the test sequences which are coded by different coding standards and have different resolutions according to the test requirement.
Since the test requirements include the coding standard, resolution and operating system of the selected test sequence, the target test sequence can be selected from the preset test sequences with different coding standards and resolutions based on the test requirements.
For example, if hardware decoding detection is performed on an electronic device equipped with an android system, the test requirements are an android hard-coded test sequence and a soft-coded test sequence with a resolution of 720P under the h.264 coding standard, and a target test sequence is selected from preset test sequences according to the test requirements.
And 430, performing software decoding on the target test sequence through the soft decoder to obtain each frame of soft-decoded image data of the target test sequence.
It should be noted that, a video file is generally obtained by compressing YUV format data by a video coding standard, so as to obtain compressed image data that is convenient for transmission and storage. Decoding is the reverse process of compression to recover YUV data.
Illustratively, after the target test sequence is obtained, the thread is started to create a soft decoder, and code stream length data stored in a set field in the target test sequence is sequentially read. The code stream length data is used for indicating the length of one frame of compressed image data corresponding to the set field. And sequentially reading the compressed image data corresponding to the set field from the target test sequence according to the code stream length data. And inputting the compressed image data into a soft decoder for decoding to obtain each frame of soft-decoded image data output by the soft decoder.
The key frames in the test sequence are full frame compressed encoded frames. For example, a key frame may be an I-frame, and when decoding, a complete image can be reconstructed using only the data of the I-frame without referring to other pictures.
Illustratively, the soft-solution image data corresponding to the I frame is obtained as key frame data, and the video width data and the video height data of the target test sequence are determined according to the key frame data, i.e. the first video width height data.
And 450, performing hardware decoding on the target test sequence through the hard decoder to obtain each frame of hard-decoded image data of the target test sequence.
For example, after the target test sequence is obtained, the code stream data length of a first set field of the target test sequence may be read, how many bytes of data after the set field are one frame of compressed image data may be determined according to the code stream data length, and the one frame of compressed image data may be read and input to the hard decoder. And then, reading the code stream data length of the next set field, reading a frame of compressed image data according to the code stream data length, and inputting the compressed image data into a hard decoder. And so on to input the target test sequence into the hard decoder.
Illustratively, the hard-solution image data corresponding to the I frame is obtained as key frame data, and the video width data and the video height data of the target test sequence are determined according to the key frame data, i.e. the second video width height data.
Exemplarily, determining the input frame number of the current target test sequence according to the number of times of reading the code stream length data in the current target test sequence; and determining the output frame number of the current target test sequence according to the times of acquiring the hard-decoded image data output by the hard decoder. Because the number of the target test sequences is more than one, the input frame number and the output frame number of the hard decoder for the residual target test sequences can be respectively obtained according to the same method.
And step 480, when detecting that the hard decoder outputs the first frame of hard decoding image data, determining the hard decoding delay corresponding to the target test sequence according to the input frame number.
Since the hard solution delay is the frame number difference between the output frame number and the output frame number when the hard decoder outputs the first frame hard solution image, when the hard decoder is detected to output the first frame hard solution image data of the current target test sequence, the input frame number counter is read to obtain the input frame number. And calculating the difference between the input frame number and 1 to obtain the hard solution delay of the hard decoder aiming at the current target test sequence.
And 490, determining a hardware decoding detection result of the electronic device to be detected according to the decoded image data, the video parameters and the hard de-delay.
According to the technical scheme provided by the embodiment, code stream length data is stored in the set field of the target test sequence, and the length of a frame of compressed image data to be read can be determined through the code stream length data, so that the frame of compressed image data is read and respectively input to the hard decoder and the soft decoder to obtain the hard decoding image data and the soft decoding image data. According to the embodiment, one frame of compressed image data is accurately and quickly read from the target test sequence in a mode of reading the code stream length data in the set field of the target test sequence, so that the difficulty of reading one frame of compressed image data from the target test sequence is reduced, and the efficiency of hard decoding detection is improved.
Fig. 5 is a flowchart of another hardware decoding detection method according to an embodiment of the present invention. This embodiment is a further optimization of the above embodiment, as shown in fig. 5, the method includes:
and step 510, respectively performing software decoding and hardware decoding on the target test sequence to obtain decoded image data, video parameters and hard solution delay.
Wherein the target test sequence is part or all of the test sequences selected from the test sequences encoded using different encoding standards and having different resolutions.
It should be noted that the preset detection conditions include: the hard solution delay of the target test sequence does not exceed a preset frame delay threshold; the hard solution image data and the soft solution image data of a target test sequence are the same; the first video width height and the second video width height of the same target test sequence are the same; and the output frame number and the input frame number of the same target test sequence are the same. The target test sequence is a hard-coded test sequence and a soft-coded test sequence which are selected from preset test sequences with different coding standards and resolutions and are matched with an operating system of the electronic equipment to be tested according to the test sequence. Because the input frame number of the same target test sequence is required to be equal to the output frame number, the problem that a hard decoder swallows frames can be well avoided.
For example, if the following conditions are all satisfied, it is determined that the decoded image data, the video parameters, and the hard solution delay of the target test sequence satisfy the preset detection conditions: the hard solution delay of the target test sequence does not exceed a preset frame delay threshold; the hard solution image data and the soft solution image data of each target test sequence are the same; the first video width height and the second video width height of each target test sequence are the same; and the output frame number and the input frame number of each target test sequence are the same.
If any one of the following conditions is met, determining that the decoded image data, the video parameters and the hard solution delay of the target test sequence do not meet the preset detection condition: the hard de-delay of at least one target test sequence is larger than a preset frame delay threshold value; the hard solution image data and the soft solution image data of at least one target test sequence are not identical; the first video width height and the second video width height of at least one target test sequence are different; the number of output frames and the number of input frames of at least one target test sequence are different.
And 540, acquiring the hardware identification information of the electronic equipment to be tested.
The hardware identification information is used for representing identification information of a video decoding chip of the electronic equipment to be tested. For example, the hardware identification information may be a processor model or a device model of the electronic device to be tested.
And 550, acquiring the coding standard and the resolution of the target test sequence, and generating a detection record according to the coding standard, the resolution and the hardware identification information.
Illustratively, if the electronic device to be tested supports hardware decoding of the target test sequence, the encoding standard and the resolution of the target test sequence are obtained, the hardware identification information, the encoding identification and the resolution are stored in an associated manner, and a detection record is generated. The detection record is used for generating a white list of the hard resolution capability of the electronic equipment to be detected. Optionally, the hard resolution capability white list is provided to the server.
Fig. 6 is a signaling diagram of a client requesting a video file according to an embodiment of the present invention. As shown in fig. 6. The client sends video request information to the server, wherein the video request information carries hardware identification information of the electronic equipment of the client. And when the server receives the video request information sent by the client, the server analyzes the video request information to obtain hardware identification information. And inquiring a hard resolution capability white list according to the hardware identification information, and determining hard resolution capability information corresponding to the electronic equipment of the client side sending the video request information. And sending the video compression file and the hard decoding capability information to the client according to the video request information. Wherein, the hard decoding capability information comprises coding standard and resolution information which can be processed by a hard decoder of the electronic device.
And step 560, determining that the electronic device to be tested does not support hardware decoding of the target test sequence.
According to the technical scheme provided by the embodiment, the hardware decoding detection result of the electronic equipment to be detected is comprehensively determined according to the comparison result by comparing the soft-resolution image data with the hard-resolution image data, comparing the first video-bandwidth high data with the second video-bandwidth high data, comparing the output frame number with the output frame number, comparing the hard-resolution delay with the preset frame delay threshold. In the embodiment, the hardware decoding detection result of the electronic device to be detected is determined in a multiple comparison mode, the conditions of hard delay and frame swallowing are considered, the condition that a soft decoder is used for detecting the hard decoder and the erroneous judgment possibly occurs is avoided, and the accuracy of the hardware decoding detection result is improved.
The hard decoding detection method of the present invention is described below as a specific example. Assume that the coding format of the target test sequence is H.264 and the resolution is a soft-coded test sequence (TEST.264-360P1) and a hard-coded test sequence (TEST.264-360P2) of 360P. Among them, h.264 is a video compression standard. It is understood that the encoding format, resolution, etc. are examples and not limitations, and different test sequences may be selected according to different application scenarios. Assuming that an input frame number DecInput is adopted to represent the number of frames which are input into a hard decoder, and the initial value of the input frame number is 0; the output frame number DecOut is used to represent the number of frames already output by the hard decoder, and the initial value of the output frame number is 0.
Fig. 7 is a flowchart of another hardware decoding detection method according to an embodiment of the present invention. As shown in fig. 7, the method includes:
Illustratively, soft _ dec.yuv is used to represent the soft-solution image data, and the soft-solution image data of each frame is different, and the soft-solution image data of each frame is stored separately.
And when key frame data are obtained through decoding, determining first video width data and first video height data according to the key frame data, and respectively adopting SoftPicW and SoftPicH for representation.
Illustratively, when the key frame data is obtained by decoding, the second video width data and the second video height data are determined according to the key frame data, and are respectively represented by HwPicW and HwPicH.
And step 707, when it is detected that the hard decoder outputs the first frame of hard decoded image data, calculating the hard decoding delay DecDelay to DecInput-1.
Exemplarily, the hard-solution image data is represented by hw _ dec.yuv, and the hard-solution image data of each frame is different, and the hard-solution image data of each frame is saved respectively.
Step 711 judges whether the DecInput of the same target test sequence is equal to DecOut, if yes, step 712 is executed, otherwise, step 713 is executed.
And 712, determining that the electronic device to be tested supports hardware to decode the target test sequence, and outputting prompt information available for a hard decoder.
Step 713, determining that the electronic device to be tested does not support hardware to decode the target test sequence, and outputting a prompt message that the hard decoder is unavailable.
The order of executing the determination steps is not limited to the embodiment described in the present embodiment, and for example, step 708 may be executed before step 705.
According to the technical scheme of the embodiment of the invention, the hard decoder is automatically detected through the test sequence, and the hardware decoding detection result is output, if the hard decoder is detected to be unavailable in the decoding process, the decoding operation of residual compressed data in the target test sequence is abandoned, and the availability of the hard decoder can be quickly and accurately detected.
Fig. 8 is a schematic structural diagram of a hardware decoding detection apparatus according to an embodiment of the present invention. The device can execute the hardware decoding detection method provided by the embodiment of the invention to accurately detect whether the hardware decoding of the electronic equipment to be detected is available. As shown in fig. 8, the apparatus includes:
a sequence decoding module 810, configured to perform software decoding and hardware decoding on the obtained test sequence, respectively, to obtain decoded image data;
a parameter determining module 820, configured to determine an input frame number and an output frame number when the test sequence is subjected to hardware decoding, calculate a hard solution delay corresponding to the test sequence according to the input frame number and the output frame number, and use the input frame number, the output frame number, and video width and height data corresponding to the decoded image data as video parameters;
a detection result determining module 830, configured to match the decoded image data, the video parameter, and the hard latency with a preset detection condition, and determine a hardware decoding detection result of the electronic device to be detected according to the matching result, where the preset detection condition is used to determine whether the electronic device to be detected supports hardware decoding of the test sequence.
The hardware decoding detection device provided by the embodiment of the invention is set to realize the hardware decoding detection method, the realization principle and the technical effect of the hardware decoding detection device are similar to those of the hardware decoding detection method, and the details are not repeated here.
Further, the test sequence specifically includes:
and selecting a target test sequence from test sequences which are coded by different coding standards and have different resolutions according to the test requirements.
Further, the sequence decoding module 810 includes:
the soft decoding submodule is used for carrying out software decoding on the target test sequence through a soft decoder to obtain soft decoding image data and first video bandwidth high data corresponding to the soft decoding image data;
and the hard decoding submodule is used for carrying out hardware decoding on the target test sequence through a hard decoder to obtain hard decoding image data and second video bandwidth high data corresponding to the hard decoding image data.
Further, the soft solution sub-module is specifically configured to:
performing software decoding on the target test sequence through the soft decoder to obtain each frame of soft-decoding image data of the target test sequence;
and determining first video width high data according to the key frame data in each frame of soft-decoded image data.
Further, the hard solution submodule is specifically configured to:
hardware decoding is carried out on the target test sequence through the hard decoder, and hard decoding image data of each frame of the target test sequence are obtained;
and determining second high-video-bandwidth data according to the key frame data in the hard-decoded image data of each frame.
Further, the hard solution submodule may be further configured to:
sequentially reading set fields in the target test sequence to obtain code stream length data, wherein the code stream length data is used for indicating the length of a frame of compressed image data corresponding to the set fields;
according to the code stream length data, sequentially reading compressed image data corresponding to the set fields from the target test sequence;
and sequentially inputting the compressed image data into the hard decoder for decoding to obtain each frame of hard-decoding image data of the target test sequence.
Further, the parameter determination module 820 is configured to:
determining the input frame number when the hard decoder decodes the current target test sequence according to the number of times of reading the code stream length data in the current target test sequence;
and determining the output frame number of the hard decoder when decoding the current target test sequence according to the times of acquiring the hard decoding image data.
Further, the parameter determining module 820 is specifically further configured to:
and when detecting that the hard decoder outputs the first frame of hard decoding image data, determining the hard decoding delay corresponding to the current target test sequence according to the input frame number.
Further, the detection result determining module 830 is specifically configured to:
judging whether the decoded image data, the video parameters and the hard solution delay of the target test sequence meet preset detection conditions or not;
if yes, determining that the electronic equipment to be tested supports hardware to decode the target test sequence;
otherwise, determining that the electronic equipment to be tested does not support hardware to decode the target test sequence.
Further, the detection result determining module 830 may specifically be configured to:
if the following conditions are all satisfied, determining that the decoded image data, the video parameters and the hard de-delay of the target test sequence satisfy preset detection conditions:
the hard solution delay of the target test sequence does not exceed a preset frame delay threshold;
the hard solution image data and the soft solution image data of each target test sequence are the same;
the first video width height and the second video width height of each target test sequence are the same;
and the output frame number and the input frame number of each target test sequence are the same.
Further, the detection result determining module 830 may be further specifically configured to:
determining that the decoded image data, the video parameters and the hard de-delay of the target test sequence do not satisfy preset detection conditions if any one of the following conditions is satisfied:
the hard de-delay of at least one target test sequence is larger than a preset frame delay threshold value;
the hard solution image data and the soft solution image data of at least one of the target test sequences are not identical;
the first video width height and the second video width height of at least one target test sequence are different;
the number of output frames and the number of input frames of at least one of the target test sequences are different.
Further, the hard decoder detection apparatus may further include:
the hardware identification acquisition module is used for acquiring hardware identification information of the electronic equipment to be tested if the hardware decoding detection result is that the electronic equipment to be tested supports hardware decoding of the target test sequence after determining the hardware decoding detection result of the electronic equipment to be tested according to the matching result;
and the detection record generating module is used for acquiring the coding standard and the resolution of the target test sequence and generating a detection record according to the coding standard, the resolution and the hardware identification information.
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, as shown in fig. 9, the electronic device includes a processor 90, a storage device 91, and a communication device 92; the number of processors 90 in the device may be one or more, and one processor 90 is taken as an example in fig. 9; the processor 90, the storage means 91 and the communication means 92 in the device may be connected by a bus or other means, as exemplified by the bus connection in fig. 9.
The storage device 91 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the hardware decoding detection method provided in the embodiment of the present invention. The processor 90 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the storage device 91, that is, implements the hardware decoding detection method described above.
The storage device 91 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage 91 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 non-volatile solid state storage device. In some examples, the storage 91 may further include memory located remotely from the processor 90, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication means 92 may be used to enable a network connection or a mobile data connection between the devices.
The electronic device provided by the embodiment of the invention can be used for executing the hardware decoding detection method provided by any embodiment, and has corresponding functions and beneficial effects.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, can implement the hardware decoding detection method in any of the above embodiments. The method specifically comprises the following steps:
respectively carrying out software decoding and hardware decoding on the obtained test sequence to obtain decoded image data;
determining an input frame number and an output frame number when the test sequence is subjected to hardware decoding, calculating a hard solution delay corresponding to the test sequence according to the input frame number and the output frame number, and taking the input frame number, the output frame number and video width and height data corresponding to the decoded image data as video parameters;
and matching the decoded image data, the video parameters and the hard delay and preset detection conditions, and determining a hardware decoding detection result of the electronic equipment to be detected according to the matching result, wherein the preset detection conditions are used for judging whether the electronic equipment to be detected supports hardware decoding of the test sequence.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the hardware decoding detection method provided by any embodiment of the present invention.
It should be noted that, in the embodiment of the hardware decoding detection apparatus, each included unit and module are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
The above description is only a preferred embodiment 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 spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (15)
1. A hardware decoding detection method, comprising:
respectively carrying out software decoding and hardware decoding on the obtained test sequence to obtain decoded image data;
determining an input frame number and an output frame number when the test sequence is subjected to hardware decoding, calculating a hard solution delay corresponding to the test sequence according to the input frame number and the output frame number, and taking the input frame number, the output frame number and video width and height data corresponding to the decoded image data as video parameters;
and matching the decoded image data, the video parameters and the hard delay and preset detection conditions, and determining a hardware decoding detection result of the electronic equipment to be detected according to the matching result, wherein the preset detection conditions are used for judging whether the electronic equipment to be detected supports hardware decoding of the test sequence.
2. The method according to claim 1, characterized in that the test sequence is in particular:
and selecting a target test sequence from test sequences which are coded by different coding standards and have different resolutions according to the test requirements.
3. The method according to claim 2, wherein the performing software decoding and hardware decoding on the obtained test sequence to obtain decoded image data respectively comprises:
performing software decoding on the target test sequence through a soft decoder to obtain soft-resolution image data and first video-bandwidth high data corresponding to the soft-resolution image data;
and carrying out hardware decoding on the target test sequence through a hard decoder to obtain hard-solution image data and second video-bandwidth high data corresponding to the hard-solution image data.
4. The method of claim 3, wherein the software decoding the target test sequence by a soft decoder to obtain soft-solution image data and first video-bandwidth high data corresponding to the soft-solution image data comprises:
performing software decoding on the target test sequence through the soft decoder to obtain each frame of soft-decoding image data of the target test sequence;
and determining first video width high data according to the key frame data in each frame of soft-decoded image data.
5. The method of claim 3, wherein the hardware decoding the target test sequence by a hard decoder to obtain hard-solution image data and second video-bandwidth high data corresponding to the hard-solution image data comprises:
hardware decoding is carried out on the target test sequence through the hard decoder, and hard decoding image data of each frame of the target test sequence are obtained;
and determining second high-video-bandwidth data according to the key frame data in the hard-decoded image data of each frame.
6. The method of claim 5, wherein said hardware decoding, by the hard decoder, the target test sequence to obtain each frame of hard-solution image data of the target test sequence comprises:
sequentially reading set fields in the target test sequence to obtain code stream length data, wherein the code stream length data is used for indicating the length of a frame of compressed image data corresponding to the set fields;
according to the code stream length data, sequentially reading compressed image data corresponding to the set fields from the target test sequence;
and sequentially inputting the compressed image data into the hard decoder for decoding to obtain each frame of hard-decoding image data of the target test sequence.
7. The method of claim 6, wherein determining the number of input frames and the number of output frames for hardware decoding the test sequence comprises:
determining the input frame number when the hard decoder decodes the current target test sequence according to the number of times of reading the code stream length data in the current target test sequence;
and determining the output frame number of the hard decoder when decoding the current target test sequence according to the times of acquiring the hard decoding image data.
8. The method of claim 7, wherein the calculating the hard solution delay corresponding to the test sequence according to the input frame number and the output frame number comprises:
and when detecting that the hard decoder outputs the first frame of hard decoding image data, determining the hard decoding delay corresponding to the current target test sequence according to the input frame number.
9. The method according to claim 2, wherein the matching the decoded image data, the video parameters and the hard solution delay with a preset detection condition, and determining a hardware decoding detection result of the electronic device under test according to the matching result comprises:
judging whether the decoded image data, the video parameters and the hard solution delay of the target test sequence meet preset detection conditions or not;
if yes, determining that the electronic equipment to be tested supports hardware to decode the target test sequence;
otherwise, determining that the electronic equipment to be tested does not support hardware to decode the target test sequence.
10. The method according to claim 9, wherein said determining whether said decoded image data, said video parameters and said hard de-delay of said target test sequence satisfy preset detection conditions comprises,
if the following conditions are all satisfied, determining that the decoded image data, the video parameters and the hard de-delay of the target test sequence satisfy preset detection conditions:
the hard solution delay of the target test sequence does not exceed a preset frame delay threshold;
the hard solution image data and the soft solution image data of each target test sequence are the same;
the first video width height and the second video width height of each target test sequence are the same;
and the output frame number and the input frame number of each target test sequence are the same.
11. The method according to claim 9, wherein said determining whether said decoded image data, said video parameters and said hard de-delay of said target test sequence satisfy preset detection conditions comprises,
determining that the decoded image data, the video parameters and the hard de-delay of the target test sequence do not satisfy preset detection conditions if any one of the following conditions is satisfied:
the hard de-delay of at least one target test sequence is larger than a preset frame delay threshold value;
the hard solution image data and the soft solution image data of at least one of the target test sequences are not identical;
the first video width height and the second video width height of at least one target test sequence are different;
the number of output frames and the number of input frames of at least one of the target test sequences are different.
12. The method of claim 1, after determining a hardware decoding detection result of the electronic device under test according to the matching result, further comprising:
if the hardware decoding detection result indicates that the electronic equipment to be tested supports hardware decoding of the target test sequence, acquiring hardware identification information of the electronic equipment to be tested;
and acquiring the coding standard and the resolution of the target test sequence, and generating a detection record according to the coding standard, the resolution and the hardware identification information.
13. A hardware decode detection apparatus, comprising:
the sequence decoding module is used for respectively carrying out software decoding and hardware decoding on the obtained test sequence to obtain decoded image data;
a parameter determining module, configured to determine an input frame number and an output frame number when the test sequence is subjected to hardware decoding, calculate a hard solution delay corresponding to the test sequence according to the input frame number and the output frame number, and use the input frame number, the output frame number, and video width and height data corresponding to the decoded image data as video parameters;
and the detection result determining module is used for matching the decoded image data, the video parameters and the hard delay and preset detection conditions and determining a hardware decoding detection result of the electronic equipment to be detected according to the matching result, wherein the preset detection conditions are used for judging whether the electronic equipment to be detected supports hardware decoding of the test sequence.
14. An electronic device, characterized in that the electronic device comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the hardware decode detection method of any of claims 1-12.
15. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a hardware decoding detection method according to any one of claims 1 to 12.
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