Abstract: An image recognition method is provided. The method includes obtaining predicted locations of joints of a target person in a to-be-recognized image based on a joint prediction model, where the joint prediction model is pre-constructed by: obtaining a plurality of sample images; inputting training features of the sample images and a body model feature to a neural network and obtaining predicted locations of joints in the sample images outputted by the neural network; updating a body extraction parameter and an alignment parameter; and inputting the training features of the sample images and the body model feature to the neural network to obtain the joint prediction model.

Abstract: An image processing method and a related apparatus are provided. The method is applied to an image processing device, and includes: obtaining an original image, the original image including a foreground object; extracting a foreground region from the original image through a deep neural network; identifying pixels of the foreground object from the foreground region; forming a mask according to the pixels of the foreground object, the mask including mask values corresponding to the pixels of the foreground object; and extracting the foreground object from the original image according to the mask.

Abstract: An augmented reality processing method is provided for a terminal. The method includes: obtaining a plurality of frames of images, comprising a first image and a second image, which is a frame of an image immediately following the first image; obtaining a key point set of a first object in the first image; obtaining, through a neural network model, first pose key point sets respectively corresponding to a plurality of objects in the second image; determining a second pose key point set of the first object in the second image according to the key point set and a motion trend of the first object; using a target first pose key point set as a key point set of the first object in the second image; and generating an augmented information image according to the key point set of the first object in the second image.

Abstract: A video image processing method and apparatus is described. The method includes obtaining a first key point of an Mth frame image in a video. The method further includes performing weighted smoothing on the first key point of the Mth frame image according to first key points in a historical key point queue and weights in a first target weight queue, to obtain a target key point. The historical key point queue includes a first key point corresponds to each frame image in N frame images. The N frame images are images before the Mth frame image, N>0. The weights in the first target weight queue corresponding to the first key points in the historical key point queue, A weight corresponding to a first key point of an (M-a)th frame image being greater than or equal to a weight corresponding to a first key point of an (M-b)th frame image, and a<b. The method further includes adjusting the Mth frame image according to the target key point.

Abstract: Embodiments of the present disclosure provide an image recognition method and apparatus, an electronic device, and a readable storage medium. The method for image recognition includes the steps of obtaining a to-be-recognized feature of a to-be-recognized image, the to-be-recognized image comprising a target person; obtaining a preset body model feature of a body frame image, the body model feature comprising locations of joints in the body frame image; inputting the to-be-recognized feature and the body model feature to a pre-constructed joint prediction model, the joint prediction model being obtained through training a neural network by using minimum respective differences between real locations of joints in a sample image and predicted locations of the corresponding joints as a training objective; and obtaining predicted locations of joints of the target person in the to-be-recognized image based on the joint prediction model.

Abstract: An augmented reality processing method is provided for a terminal. The method includes: obtaining a plurality of frames of images, comprising a first image and a second image, which is a frame of an image immediately following the first image; obtaining a key point set of a first object in the first image; obtaining, through a neural network model, first pose key point sets respectively corresponding to a plurality of objects in the second image; determining a second pose key point set of the first object in the second image according to the key point set and a motion trend of the first object; using a target first pose key point set as a key point set of the first object in the second image; and generating an augmented information image according to the key point set of the first object in the second image.

Abstract: An image processing method and a related apparatus are provided. The method is applied to an image processing device, and includes: obtaining an original image, the original image including a foreground object; extracting a foreground region from the original image through a deep neural network; identifying pixels of the foreground object from the foreground region; forming a mask according to the pixels of the foreground object, the mask including mask values corresponding to the pixels of the foreground object; and extracting the foreground object from the original image according to the mask.

Abstract: A video image processing method and apparatus is described. The method includes obtaining a first key point of an Mth frame image in a video. The method further includes performing weighted smoothing on the first key point of the Mth frame image according to first key points in a historical key point queue and weights in a first target weight queue, to obtain a target key point. The historical key point queue includes a first key point corresponds to each frame image in N frame images. The N frame images are images before the Mth frame image, N>0. The weights in the first target weight queue corresponding to the first key points in the historical key point queue, A weight corresponding to a first key point of an (M-a)th frame image being greater than or equal to a weight corresponding to a first key point of an (M-b)th frame image, and a<b. The method further includes adjusting the Mth frame image according to the target key point.

Abstract: A method for inducing continuous separation of copper ions from copper using UV-light source, comprising the following steps: (1) cutting apiece of copper into wires or slices for immersing into a vessel containing water; switching on a stirrer for stirring the water continuously and keeping the copper being immersed in the water; (2) turning on the UV-light source for irradiating the copper and the water continuously; appearing a large amount of white precipitate in the water; (3) filtering the solution; detecting the filtered solution, a certain concentration copper ions in the filtered solution are found; adding hydrochloric acid by drops into the unfiltered original solution, the white precipitate is dissolved and copper ions are detected. The invention makes the copper separate out copper ions continuously and can be applied to copper ion disinfection for swimming-pool water, scenic water and cooling water, etc.

Abstract: A method for inducing continuous separation of copper ions from copper using UV-light source, comprising the following steps: (1) cutting apiece of copper into wires or slices for immersing into a vessel containing water; switching on a stirrer for stirring the water continuously and keeping the copper being immersed in the water; (2) turning on the UV-light source for irradiating the copper and the water continuously; appearing a large amount of white precipitate in the water; (3) filtering the solution; detecting the filtered solution, a certain concentration copper ions in the filtered solution are found; adding hydrochloric acid by drops into the unfiltered original solution, the white precipitate is dissolved and copper ions are detected. The invention makes the copper separate out copper ions continuously and can be applied to copper ion disinfection for swimming-pool water, scenic water and cooling water, etc.