Abstract: A method for processing an encoded pattern, a storage medium, and an electronic device are disclosed in this application. An electronic device acquires a first encoded pattern to be recognized, the first encoded pattern being a pattern including predefined information encoded therein. The electronic device increases resolution of the first encoded pattern through a target model to obtain a target encoded pattern having a target resolution and corrects an edge of a sub-pattern in the target encoded pattern to obtain a second encoded pattern. Finally, the electronic device decodes the second encoded pattern using a code recognition module to obtain the predefined information. This application resolves the technical problem that an encoded pattern cannot be accurately recognized.

Abstract: This application relates to a target detection method performed at a computer device. The method includes: obtaining a to-be-detected image; extracting a first image feature and a second image feature corresponding to the to-be-detected image; performing dilated convolution to the second image feature, to obtain a third image feature corresponding to the to-be-detected image; performing classification and regression to the first image feature and the third image feature, to determine candidate position parameters corresponding to a target object in the to-be-detected image and degrees of confidence corresponding to the candidate position parameters; and selecting a valid position parameter from the candidate position parameters according to their corresponding degrees of confidence, and determining a position of the target object in the to-be-detected image according to the valid position parameter. The solutions in this application can improve robustness and consume less time.

Abstract: A method for processing an encoded pattern, a storage medium, and an electronic device are disclosed in this application. An electronic device acquires a first encoded pattern to be recognized, the first encoded pattern being a pattern including predefined information encoded therein. The electronic device increases resolution of the first encoded pattern through a target model to obtain a target encoded pattern having a target resolution and corrects an edge of a sub-pattern in the target encoded pattern to obtain a second encoded pattern. Finally, the electronic device decodes the second encoded pattern using a code recognition module to obtain the predefined information. This application resolves the technical problem that an encoded pattern cannot be accurately recognized.

Abstract: A method for processing an encoded pattern, a storage medium, and an electronic device are disclosed in this application. An electronic device acquires a first encoded pattern to be recognized, the first encoded pattern being a pattern obtained after predefined information is encoded therein. The electronic device increases resolution of the first encoded pattern through a target model to obtain a second encoded pattern, the target model being obtained through training by using a predetermined third encoded pattern as an input and a predetermined fourth encoded pattern as an output, the third encoded pattern being obtained by decreasing resolution of the fourth encoded pattern, the third and the first encoded patterns being encoded in the same manner. Finally, the electronic device decodes the second encoded pattern using a code recognition module to obtain the predefined information. This application resolves the technical problem that an encoded pattern cannot be accurately recognized.

Abstract: The present disclosure describes method, apparatus, and storage medium for identifying an identification code. The method includes obtaining, by a computer device, a to-be-detected picture. The computer device includes a memory storing instructions and a processor in communication with the memory. The method also includes detecting, by the computer device, an identification code in the to-be-detected picture to obtain a detection result, the detection result comprising target information of a target code corresponding to the identification code; sampling, by the computer device, the target code according to the target information, to obtain a sampled image; and decoding, by the computer device, the sampled image, to obtain an identification result corresponding to the identification code.

Abstract: Methods and systems for estimating a surface runoff based on a pixel scale are disclosed. In some embodiments, the method includes the following steps: (1) calculating a vegetation canopy interception water storage, a litterfall interception water storage, and a soil water storage according to an obtained original remote sensing dataset of a climate element in a study area; (2) calculating a vegetation-soil interception water conservation in the study area based on an established vegetation-soil interception water conservation estimation model according to the vegetation canopy interception water storage, the litterfall interception water storage, the soil water storage, and monthly precipitation; and (3) calculating a surface runoff in the study area based on an established water balance water conservation estimation model according to the monthly precipitation, monthly snowmelt, monthly actual evapotranspiration, and the vegetation-soil interception water conservation in the study area.

Abstract: Embodiments of this application disclose a headword extraction method performed by a computer device. The method includes: obtaining a sentence feature of a target sentence and word features of a plurality of words in the target sentence; extracting semantics of the sentence feature of the target sentence to obtain a semantic feature of the target sentence, and extracting semantics of the word feature of each word to obtain a semantic feature of the word; obtaining a respective matching degree between the semantic feature of each of the plurality of words and the semantic feature of the target sentence; and determining, among the plurality of words in the target sentence, a word with a largest corresponding matching degree as a headword of the target sentence. The method can improve the accuracy of headwords extracted from the target sentence.

Abstract: A method, an apparatus, and a terminal for recognizing a two-dimensional code are provided. The two-dimensional code includes an image region and an encoding region. The image region and the encoding region have no overlap. The method includes selecting, from pixels of the two-dimensional code, a pixel included in a code element in an encoding region. The method further includes determining a value of the code element in the encoding region according to the pixel included in the code element in the encoding region. The method further includes recognizing the two-dimensional code according to the value of the code element in the encoding region.

Abstract: A method includes: obtaining a first image including a target item; selecting a plurality of reference images corresponding to the first image from a database; performing word segmentation on item text information corresponding to the plurality of reference images to obtain a plurality of words; and extracting a key word meeting a reference condition from the plurality of words, and determining the extracted key word as an item name of the target item.

Abstract: The present invention relates to a method for determining a surface runoff yield in a vegetation-covered area. The present invention improves and integrates a water conservation model with a Zhang's model based on remote sensing data. The present invention constructs a new method for calculating a surface runoff yield in a vegetation-covered area on a spatial pixel scale based on a water balance equation of the vegetation-covered area. This method utilizes real-time dynamic multi-temporal remote sensing data to calculate a vegetation canopy interception water storage, a vegetation litterfall interception water storage, a soil water storage change, a vegetation water conservation, a vegetation evapotranspiration and a vegetation runoff yield. The method realizes the long-term dynamic estimation of the surface runoff yield in regional and global vegetation-covered areas on a spatial pixel scale. It has the advantages of being efficient, fast, accurate, and applicable to large-scale vegetation-covered areas.

Abstract: A graphic code recognition method includes: displaying a target image, the target image comprising at least two graphic codes; in response to receiving a graphic code recognition operation on the target image for selecting one of the at least two graphic codes to recognize, obtaining graphic code position information of the at least two graphic codes in the target image; determining a target graphic code indicated by the graphic code recognition operation according to the graphic code position information, the target graphic code belonging to the at least two graphic codes; and displaying a target graphic code recognition result corresponding to the target graphic code.

Abstract: The present invention relates to a method for determining a surface runoff yield in a vegetation-covered area. The present invention improves and integrates a water conservation model with a Zhang's model based on remote sensing data. The present invention constructs a new method for calculating a surface runoff yield in a vegetation-covered area on a spatial pixel scale based on a water balance equation of the vegetation-covered area. This method utilizes real-time dynamic multi-temporal remote sensing data to calculate a vegetation canopy interception water storage, a vegetation litterfall interception water storage, a soil water storage change, a vegetation water conservation, a vegetation evapotranspiration and a vegetation runoff yield. The method realizes the long-term dynamic estimation of the surface runoff yield in regional and global vegetation-covered areas on a spatial pixel scale. It has the advantages of being efficient, fast, accurate, and applicable to large-scale vegetation-covered areas.

Abstract: Methods and systems for estimating a surface runoff based on a pixel scale are disclosed. In some embodiments, the method includes the following steps: (1) calculating a vegetation canopy interception water storage, a litterfall interception water storage, and a soil water storage according to an obtained original remote sensing dataset of a climate element in a study area; (2) calculating a vegetation-soil interception water conservation in the study area based on an established vegetation-soil interception water conservation estimation model according to the vegetation canopy interception water storage, the litterfall interception water storage, the soil water storage, and monthly precipitation; and (3) calculating a surface runoff in the study area based on an established water balance water conservation estimation model according to the monthly precipitation, monthly snowmelt, monthly actual evapotranspiration, and the vegetation-soil interception water conservation in the study area.

Abstract: Methods and systems for estimating a groundwater recharge based on a pixel scale are disclosed. In some embodiments, a method includes the following steps: (1) obtaining an original remote sensing dataset of a climate element in a study area and a pixel area of the study area; (2) calculating a total water resource yield in the study area by a water balance equation according to the original remote sensing dataset of the climate element and the pixel area of the study area; and (3) estimating the groundwater recharge in the study area according to the total water resource yield and the monthly runoff in the study area. The original remote sensing dataset of the climate element includes monthly precipitation per unit pixel area, monthly actual evapotranspiration per unit pixel area, monthly snowmelt per unit pixel area, monthly soil moisture change per unit pixel area, and monthly runoff.

Abstract: The present invention relates to a method for monitoring a change of vegetation water conservation. The method includes: obtaining global land water storage change data, precipitation, actual evapotranspiration, soil moisture storage, snowmelt, snow water storage, surface water storage, groundwater storage, change in surface and groundwater resources, litterfall interception water storage, average natural water content, maximum water holding capacity and litterfall accumulation; preprocessing the above data, and calculating a change of vegetation canopy water storage; calculating a change of litterfall interception water storage; calculating a change of soil moisture storage; and determining a water conservation change according to the change of vegetation canopy water storage, the change of litterfall interception water storage and the soil moisture change. The method provides new technical support and reference for the evaluation of ecological effects and water conservation during ecological restoration.

Abstract: A graphic code recognition method includes: displaying a target image, the target image comprising at least two graphic codes; in response to receiving a graphic code recognition operation on the target image for selecting one of the at least two graphic codes to recognize, obtaining graphic code position information of the at least two graphic codes in the target image; determining a target graphic code indicated by the graphic code recognition operation according to the graphic code position information, the target graphic code belonging to the at least two graphic codes; and displaying a target graphic code recognition result corresponding to the target graphic code.

Abstract: A method of an information processing device is provided. The method includes: dividing, by the at least one processor, a predetermined region used for generating a two-dimensional code into an image region and an encoding region that does not overlap the image region; setting, by the at least one processor, a first image in the image region; and setting, by the at least one processor, at least one code element used for storing data information in the encoding region.

Abstract: A method, an apparatus, and a terminal for recognizing a two-dimensional code are provided. The two-dimensional code includes an image region and an encoding region. The image region and the encoding region have no overlap. The method includes selecting, from pixels of the two-dimensional code, a pixel included in a code element in an encoding region. The method further includes determining a value of the code element in the encoding region according to the pixel included in the code element in the encoding region. The method further includes recognizing the two-dimensional code according to the value of the code element in the encoding region.