A background image generation method, a non-transitory computer-readable storage medium and an electronic device. The background image generation method includes: acquiring a first image, searching a second image matching the first image in a preset image library; and performing a color-modulation process on the second image according to the first image, and generating a background image. The user's personalized demands regarding a background image are satisfied, and time and hardware costs for obtaining a background image are reduced.

Methods and systems are described herein for hosting and arbitrating algorithms for the generation of structured frames of data from one or more sources of unstructured input frames. A plurality of frames may be received from a recording device and a plurality of object types to be recognized in the plurality of frames may be determined. A determination may be made of multiple machine learning models for recognizing the object types. The frames may be sequentially input into the machine learning models to obtain a plurality of sets of objects from the plurality of machine learning models and object indicators may be received from those machine learning models. A set of composite frames with the plurality of indicators corresponding to the plurality of objects may be generated, and an output stream may be generated including the set of composite frames to be played back in chronological order.

Methods and systems are provided for assisting a user with parking a vehicle in a parking space. In various embodiments a method includes: receiving, by a processor, user input indicating a position of a virtual line displayed on a display screen of the vehicle, wherein the virtual line is adjustable by a user; storing, by the processor and in a datastore, the position of the virtual line and a vehicle position associated with a parking space; and selectively displaying, by the processor, an appearance of the virtual line on the display screen when the vehicle is within a range of the vehicle position to assist a user in parking the vehicle in the parking space, wherein the selectively displaying is based on a comparison of a boundary within a scene associated with the parking space and the virtual line.

Methods and systems are provided for assisting a user with parking a vehicle in a parking space. In various embodiments a method includes: receiving, by a processor, user input indicating a position of a virtual line displayed on a display screen of the vehicle, wherein the virtual line is adjustable by a user; storing, by the processor and in a datastore, the position of the virtual line and a vehicle position associated with a parking space; and selectively displaying, by the processor, an appearance of the virtual line on the display screen when the vehicle is within a range of the vehicle position to assist a user in parking the vehicle in the parking space, wherein the selectively displaying is based on a comparison of a boundary within a scene associated with the parking space and the virtual line.

Embodiments of the application provide methods and devices for analyzing surgeries. It may include recording images of a surgery with a camera, wherein the images may include a visual element chosen from a surgeon's hands during the surgery, a patient's surgery area, equipment used in a surgery, instruments used in a surgery and the like; saving images of a surgery; displaying a timestamp in images; chapterizing the images into different chapters; leveraging additional radiologic imaging clinical data; maximizing treatment cost/benefit; and perhaps even analyzing recorded images of a surgery. Embodiments may use artificial intelligence, computer learning, and machine learning.

Embodiments of the application provide methods and devices for analyzing surgeries. It may include recording images of a surgery with a camera, wherein the images may include a visual element chosen from a surgeon's hands during the surgery, a patient's surgery area, equipment used in a surgery, instruments used in a surgery and the like; saving images of a surgery; displaying a timestamp in images; chapterizing the images into different chapters; leveraging additional radiologic imaging clinical data; maximizing treatment cost/benefit; and perhaps even analyzing recorded images of a surgery. Embodiments may use artificial intelligence, computer learning, and machine learning.

Computer systems and associated methods are disclosed to implement a model development environment (MDE) that allows a team of users to perform iterative model experiments to develop machine learning (ML) media models. In embodiments, the MDE implements a media data management interface that allows users to annotate and manage training data for models. In embodiments, the MDE implements a model experimentation interface that allows users to configure and run model experiments, which include a training run and a test run of a model. In embodiments, the MDE implements a model diagnosis interface that displays the model's performance metrics and allows users to visually inspect media samples that were used during the model experiment to determine corrective actions to improve model performance for later iterations of experiments. In embodiments, the MDE allows different types of users to collaborate on a series of model experiments to build an optimal media model.

Methods, systems, and apparatus, including computer programs encoded on computer storage media relate to a method for generating an avatar within a video communication platform. The system may receive a selection of an avatar model from a group of one or more avatar models. The system receives a first video stream and audio data of a first video conference participant. The system analyzes image frames of the first video stream to determine a group of pixels representing the first video conference participant. The system determines a plurality of facial expression parameter associated with the determined group of pixels. Based on the determined plurality of facial expression parameter values, the system generates a first modified video stream depicting a digital representation of the first video conference participant in an avatar form.

Methods, systems, and apparatus, including computer programs encoded on computer storage media relate to a method for generating an avatar within a video communication platform. The system may receive a selection of an avatar model from a group of one or more avatar models. The system receives a first video stream and audio data of a first video conference participant. The system analyzes image frames of the first video stream to determine a group of pixels representing the first video conference participant. The system determines a plurality of facial expression parameter associated with the determined group of pixels. Based on the determined plurality of facial expression parameter values, the system generates a first modified video stream depicting a digital representation of the first video conference participant in an avatar form.

A system and method for assisting drivers of vehicles are described. The systems and methods provide an extended view of the area surrounding the driver's vehicle while providing real-time object trajectory for objects and other vehicles that may enter the driver's reactionary zone. The system and methods capture images of the area surrounding the driver's vehicle and create a composite image of that area in real-time and using Augmented Reality (AR) create a 3-D overlay to warn the driver as objects or other vehicles enter the driver's reactionary zone so that a driver can make more informed driving decisions.