Abstract: The present invention discloses a composition for preparing bio-based elastomer film with high moisture permeability, and a bio-based elastomer film and a laminate therefrom, wherein the composition comprises: 5%-95% bio-based elastomer material, 0-80% resin polymer, 0.01-90% inorganic powder material having a particle size within 100 ?m and/or organic low molecular material having a molecular weight within 2000 Daltons, and 0-10% organic anti-blocking agent (dispersant). The bio-based elastomer film and laminate of the present invention have excellent moisture permeability and mechanical performance, which can be widely used in various fields including outdoor sporting goods, clothing, medical treatment, food packaging and shoe materials, and which are environmentally friendly and green products.

Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.

Abstract: The present application discloses a method and an apparatus for detecting wearing of a safety helmet, a device and a storage medium. The method for detecting wearing of a safety helmet includes: acquiring a first image collected by a camera device, where the first image includes at least one human body image; determining the at least one human body image and at least one head image in the first image; determining a human body image corresponding to each head image in the at least one human body image according to an area where the at least one human body image is located and an area where the at least one head image is located; and processing the human body image corresponding to the at least one head image according to a type of the at least one head image.

Abstract: The present invention discloses a composition for preparing bio-based elastomer film with high moisture permeability, and a bio-based elastomer film and a laminate therefrom, wherein the composition comprises: 5%-95% bio-based elastomer material, 0-80% resin polymer, 0.01-90% inorganic powder material having a particle size within 100 ?m and/or organic low molecular material having a molecular weight within 2000 Daltons, and 0-10% organic anti-blocking agent (dispersant). The bio-based elastomer film and laminate of the present invention have excellent moisture permeability and mechanical performance, which can be widely used in various fields including outdoor sporting goods, clothing, medical treatment, food packaging and shoe materials, and which are environmentally friendly and green products.

Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.

Abstract: The present application discloses a method and an apparatus for detecting wearing of a safety helmet, a device and a storage medium. The method for detecting wearing of a safety helmet includes: acquiring a first image collected by a camera device, where the first image includes at least one human body image; determining the at least one human body image and at least one head image in the first image; determining a human body image corresponding to each head image in the at least one human body image according to an area where the at least one human body image is located and an area where the at least one head image is located; and processing the human body image corresponding to the at least one head image according to a type of the at least one head image.

Abstract: The present application discloses a method for recognizing a picture, device, and apparatus. The method comprises: acquiring a to-be-recognized picture from an Internet-based on-line database; extracting characteristics from the to-be-recognized picture and a previously acquired copy-righted picture, to obtain the characteristics of the to-be-recognized picture and the copy-righted picture; comparing the extracted characteristics of the to-be-recognized picture and the copy-righted picture; and determining the to-be-recognized pictures as a suspected pirated picture based on the comparison result. According to the technical solutions provided by the embodiments of the present application, suspected pirated pictures can be accurately and quickly recognized, with no need of manual screening, thereby greatly reducing the labor cost, and increasing the recognition efficiency for suspected pirated pictures.

Abstract: The present application discloses a method for recognizing a picture, device, and apparatus. The method comprises: acquiring a to-be-recognized picture from an Internet-based on-line database; extracting characteristics from the to-be-recognized picture and a previously acquired copy-righted picture, to obtain the characteristics of the to-be-recognized picture and the copy-righted picture; comparing the extracted characteristics of the to-be-recognized picture and the copy-righted picture; and determining the to-be-recognized pictures as a suspected pirated picture based on the comparison result. According to the technical solutions provided by the embodiments of the present application, suspected pirated pictures can be accurately and quickly recognized, with no need of manual screening, thereby greatly reducing the labor cost, and increasing the recognition efficiency for suspected pirated pictures.