Abstract: A shoe try-on method and apparatus based on augmented reality, and an electronic device. The method comprises: upon detecting a shoe try-on instruction, determining, according to any calf image in a real image that is collected in real time, an initial rendering area corresponding to the calf image; according to all the calf images in the real image, determining a shielding area; and then determining a target rendering area according to the shielding area and the initial rendering area. Therefore, it is only necessary to perform shoe mold rendering on the target rendering area.

Abstract: A method, apparatus, device and medium for pose estimation. The method includes: determining, based on original feature points of a target object in a previous frame image to a current frame image, target feature points of the target object in the current frame image; determining effective feature points that meet a predetermined filtering condition from the target feature points, and generating a movement estimation model based on the effective feature points; generating a first pose of the target object in the current frame image based on the movement estimation model and pose estimation of the target object in the previous frame image, and extracting a second pose of the target object in the current frame image with a predetermined deep learning model; and smoothing the first pose and the second pose.

Abstract: An image display method, a device, and a medium. The image display method includes acquiring a real-time image of a target body part; and displaying a composite image in real time. The composite image is an image obtained by superposing a target three-dimensional image onto the target body part in the real-time image, the target three-dimensional image is obtained by rendering a wearable component three-dimensional model based on a real-time posture and a real-time unoccluded area of the target body part, and the real-time posture and the real-time unoccluded area are determined based on the real-time image.

Abstract: A combined algae bioreactor and heat-driven CO2 capture system for algae production is provided. The combined system includes a bioreactor with a parabolic trough collector (PTC) shaped structure, a PTC top surface with a spectrum-splitting coating, a thermal solar receiver, a liquid inlet, a liquid outlet, a CO2 feed pipeline, and gas release holes. The thermal solar receiver is arranged at the focal point of the bioreactor's PTC shape. The liquid inlet and the liquid outlet are arranged at two ends of a diagonal line of an opening of the bioreactor respectively. The CO2 feed pipeline is connected to the bottom end of the bioreactor. The gas release holes are arranged at the two ends of the opening of the bioreactor. A spectrum-splitting coating is applied on the bioreactor's PTC top surface, which promotes algae production.

Abstract: Embodiments of the present disclosure provide a method and apparatus for generating information, a device for human-computer interaction, and a computer readable medium. The method may include: acquiring gravity sensing data of a shelf carrying an item; and identifying, in response to determining that the item on the shelf is taken based on the gravity sensing data, the taken item based on the gravity sensing data and an acquired image of the taken item, and generating order information of the taken item.

Abstract: Disclosed embodiments relate to a character detection method and apparatus. In some embodiments, the method includes: using an image including an annotated word as an input to a machine learning model; selecting, based on a predicted result of characters inside an annotation region of the annotated word predicted and annotation information of the annotated word, characters for training the machine learning model from the characters inside the annotation region of the annotated word predicted; and training the machine learning model based on features of the selected characters. This implementation manner implements the full training of a machine learning model by using existing word level annotated images, to obtain a machine learning model capable of detecting characters in images, thereby reducing the costs for the training of a machine learning model capable of detecting characters in images.

Abstract: Embodiments of the present disclosure provide a method and apparatus for generating information, a device for human-computer interaction, and a computer readable medium. The method may include: acquiring gravity sensing data of a shelf carrying an item; and identifying, in response to determining that the item on the shelf is taken based on the gravity sensing data, the taken item based on the gravity sensing data and an acquired image of the taken item, and generating order information of the taken item.

Abstract: Disclosed embodiments relate to a character detection method and apparatus. In some embodiments, the method includes: using an image including an annotated word as an input to a machine learning model; selecting, based on a predicted result of characters inside an annotation region of the annotated word predicted and annotation information of the annotated word, characters for training the machine learning model from the characters inside the annotation region of the annotated word predicted; and training the machine learning model based on features of the selected characters. This implementation manner implements the full training of a machine learning model by using existing word level annotated images, to obtain a machine learning model capable of detecting characters in images, thereby reducing the costs for the training of a machine learning model capable of detecting characters in images.