Abstract:
A data creation system creates, based on first image data, second image data for use as learning data to generate a learned model about an object. The data creation system includes a deformer that generates, based on the first image data including a pixel region representing the object, the second image data by deforming a shape of the object. The deformer generates the second image data to maintain a predetermined feature of the first image data before and after the shape of the object is deformed.
Abstract:
A data creation system creates, based on first image data, second image data for use as learning data to generate a learned model. The data creation system includes an acquirer and a superimposer. The acquirer acquires feature image data indicating respective pixel values of a plurality of pixels included in a feature region. The superimposer creates the second image data by superimposing a magnitude of shift on respective pixel values of a plurality of pixels included in a predetermined region of a first image represented by the first image data. The predetermined region has an outer peripheral shape corresponding to the feature region. The magnitude of shift is determined based on the respective pixel values of the plurality of pixels included in the feature region.
Abstract:
A data creation system creates, based on first image data, second image data for use as learning data. A processor of the data creation system generates, based on the first image data including a first region as a pixel region representing the object and a second region adjacent to the first region, the second image data by causing deformation about height of the first region with respect to a reference plane. The processor generates the second image data such that the closer to a reference point within the first region a point of interest is, the greater a variation in the height of the first region with respect to the reference plane is and the closer to a boundary between the first region and the second region the point of interest is, the smaller the variation in the height of the first region with respect to the reference plane is.
Abstract:
An information processing system includes a first system and a second system which are ready to communicate with each other. The first system transforms first data including specific information into second data not including the specific information and outputs the second data to the second system. The second system performs machine learning using the second data to generate a second learning deliverable and outputs the second learning deliverable to the first system. The first system obtains, based on at least a part of the first data and the second learning deliverable provided by the second system, the first learning deliverable.
Abstract:
The present disclosure relates to a technology for automatically and efficiently searching for a facility control parameter. One aspect of the present disclosure relates to an automatic parameter adjustment device comprising: a plurality of facility models that model a facility; a control parameter setter that sets a plurality of first control parameters for use in a first trial to the plurality of facility models, and set a second control parameter for use in the first trial to the facility; and a comparer that compares a model operation result of the first trial of the plurality of facility models under the plurality of first control parameters with an actual machine operation result of the first trial of the facility under the second control parameter, wherein the control parameter setter selects a control parameter for use in a second trial based on a first comparison result between the model operation result of the first trial and the actual machine operation result of the first trial.
Abstract:
A data creation system creates, based on first image data, second image data for use as learning data to generate a learned model about an object. The data creation system includes a deformer, a remover, a feature acquirer, and a feature assigner. The deformer generates, based on the first image data including a pixel region representing the object, the second image data by causing deformation about the object to the first image data. The remover removes a linear first feature present in the first image data. The feature acquirer acquires a second feature. The feature assigner assigns the second feature to the second image data.
Abstract:
A socket includes a first base member that includes a module mount unit allowing a module including an imaging device and an object to be placed thereon and an electric connector that electrically connects the imaging device to an external apparatus, a second base member having an opening, and an engagement unit that causes the first base member to be engaged with the second base member under a condition that the module placed on the module mount unit is sandwiched by the first and second base members. When the first base member is engaged with the second base member by the engagement unit under a condition that the module placed on the module mount unit is sandwiched by the first base member and the second base member, the electric connector is electrically connected to the imaging device, and the object receives illumination light from a light source through the opening.
Abstract:
A force measurement apparatus that, when an insertion member is inserted into a living body vessel, measures a force at time the insertion member contacts with living body vessel, includes a force detector that measures, from an outside of a body, a force applied from the insertion member to the living body vessel, a reference point calculating unit that calculates a time point when a force applied from the insertion member into the living body vessel is individually measured based on information about the force detected by the force detector during the insertion of the insertion member into the living body vessel, and an individual force calculating unit that individually calculates the force applied from the insertion member to the living body vessel based on information about the time point and information about the force detected by the force detector.