Systems and methods are provided for planning a procedure. A display device is configured to display a first virtual element. A controller device having a processor is configured to be in communication with the display device, and the controller device is further configured to direct the display device to display the first virtual element. A physical control element is in communication with the controller device, and is configured to correspond to the first virtual element such that an actual manipulation of the control element is displayed, via the processor of the controller device and on the display device, as a corresponding response of the first virtual element to the actual manipulation of the control element. Associated systems, methods, and computer program products are also provided.

Computing systems may support image classification and image detection services, and these services may utilize object detection/image classification machine learning models. The described techniques provide for normalization of confidence scores corresponding to manipulated target images and for non-max suppression within the range of confidence scores for manipulated images. In one example, the techniques provide for generating different scales of a test image, and the system performs normalization of confidence scores corresponding to each scaled image and non-max suppression per scaled image These techniques may be used to provide more accurate image detection (e.g., object detection and/or image classification) and may be used with models that are not trained on modified image sets. The model may be trained on a standard (e.g. non-manipulated) image set but used with manipulated target images and the described techniques to provide accurate object detection.

Computing systems may support image classification and image detection services, and these services may utilize object detection/image classification machine learning models. The described techniques provide for normalization of confidence scores corresponding to manipulated target images and for non-max suppression within the range of confidence scores for manipulated images. In one example, the techniques provide for generating different scales of a test image, and the system performs normalization of confidence scores corresponding to each scaled image and non-max suppression per scaled image These techniques may be used to provide more accurate image detection (e.g., object detection and/or image classification) and may be used with models that are not trained on modified image sets. The model may be trained on a standard (e.g. non-manipulated) image set but used with manipulated target images and the described techniques to provide accurate object detection.

A method for preventing burn-in conditions on a display of an electronic device is disclosed. The electronic device acquires a position of, for example, a task bar being displayed on an OELD screen, extracts a color of a pixel located adjacent to the task bar, and generates an overlay window of a color based on the extracted color. The color of the overlay window is translucent and continuously changes from the extracted color to black with an increase of the distance from the pixel located adjacent to the task bar. The task bar is displayed on the OELD screen with the overlay window overlaying the task bar.

A method for preventing burn-in conditions on a display of an electronic device is disclosed. The electronic device acquires a position of, for example, a task bar being displayed on an OELD screen, extracts a color of a pixel located adjacent to the task bar, and generates an overlay window of a color based on the extracted color. The color of the overlay window is translucent and continuously changes from the extracted color to black with an increase of the distance from the pixel located adjacent to the task bar. The task bar is displayed on the OELD screen with the overlay window overlaying the task bar.

The invention disclose a method, an apparatus, a device and a storage medium for detecting a card surface picture. The method comprises the following steps of: identifying region information of an image to be shown in a target picture; generating a picture to be detected according to the region information of the image to be shown; synthesizing the picture to be detected and a preset picture to obtain a synthesized picture; and in response to that it is detected that a fourth pixel value is contained in the synthesized picture, determining that the target picture is unqualified, which improves the efficiency of picture review and further improves the efficiency of card fabrication.

The invention disclose a method, an apparatus, a device and a storage medium for detecting a card surface picture. The method comprises the following steps of: identifying region information of an image to be shown in a target picture; generating a picture to be detected according to the region information of the image to be shown; synthesizing the picture to be detected and a preset picture to obtain a synthesized picture; and in response to that it is detected that a fourth pixel value is contained in the synthesized picture, determining that the target picture is unqualified, which improves the efficiency of picture review and further improves the efficiency of card fabrication.

Image processing method and device for a spliced panel and a spliced panel are provided. The image processing method includes calculating a horizontal stretch coefficient of the spliced panel according to a resolution of the plurality of display units, a sum of horizontal spliced-gap widths of the spliced panel and a horizontal pixel pitch of the plurality of display units; calculating a vertical stretch coefficient of the spliced panel according to the resolution of the plurality of display units, a sum of vertical spliced-gap widths of the spliced panel and a vertical pixel pitch of the plurality of display units; stretching an original image to be displayed by the spliced panel according to the horizontal stretch coefficient and the vertical stretch coefficient to acquire a target image; and controlling display of the plurality of display units of the spliced panel according to the target image.

Image processing method and device for a spliced panel and a spliced panel are provided. The image processing method includes calculating a horizontal stretch coefficient of the spliced panel according to a resolution of the plurality of display units, a sum of horizontal spliced-gap widths of the spliced panel and a horizontal pixel pitch of the plurality of display units; calculating a vertical stretch coefficient of the spliced panel according to the resolution of the plurality of display units, a sum of vertical spliced-gap widths of the spliced panel and a vertical pixel pitch of the plurality of display units; stretching an original image to be displayed by the spliced panel according to the horizontal stretch coefficient and the vertical stretch coefficient to acquire a target image; and controlling display of the plurality of display units of the spliced panel according to the target image.

Aspects for active alignment for assembling optical imaging systems are described herein. As an example, the aspects may include aligning an optical detector with an optical component. The optical component is configured to alter a direction of one or more light beams emitted from an image displayed by an optical engine. The aspects may further include detecting, by the optical detector, a virtual image generated by the one or more light beams emitted by the optical engine; and adjusting, by a multi-axis controller, an optical path of the one or more light beams based on one or more parameters of the virtual image collected by the optical detector.