Automatic filter realization method, storage medium, device and system
An implementation method and filter technology, applied in image enhancement, image analysis, instruments, etc., can solve time-consuming and time-consuming problems, achieve the effect of reducing preliminary preparation work and ensuring live broadcast experience
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0042] see figure 1 As shown, the embodiment of the present invention provides an automatic filter implementation method, which is used to realize the automatic replacement of filter special effects by the anchor during the live broadcast process, without manual adjustment and replacement by the anchor. The automatic filter implementation method of the embodiment of the present invention specifically includes the following steps:
[0043]S1: Obtain multiple images as training samples to train the neural network model, and each image contains a marker used to mark the scene. This step is mainly to enable the neural network model to have the ability to recognize specific markers. The markers include solid-color walls, billboards and sky. For example, you can use images containing solid-color walls as training samples to train the neural network model, or use images containing sky as training samples to train the neural network model, or use images containing The images of billb...
Embodiment 2
[0062] An embodiment of the present invention provides a storage medium on which a computer program is stored, wherein the computer program is executed by a processor to implement the following steps:
[0063] Obtain multiple images as training samples to train the neural network model, and each image contains a marker for marking the scene;
[0064] Capture the live broadcast screen as the image to be detected, and use the trained neural network model to detect the content contained in the image to be detected;
[0065] When it is detected that the image to be detected contains a marker, call out the filter effect of the scene corresponding to the marker as the filter effect of the current live broadcast;
[0066] Among them, the landmarks include solid-color walls, billboards and sky: when the landmarks in the image to be detected are detected to be solid-color walls, the white filter is used as the filter effect of the current live broadcast; when the landmarks in the image...
Embodiment 3
[0072] see figure 2 As shown, the embodiment of the present invention provides an electronic device, and the electronic device includes a training unit, a detection unit, and a filter and special effect execution unit.
[0073] The training unit is used to obtain multiple images as training samples to train the neural network model, and each image contains a marker used to mark the scene; the detection unit is used to intercept the live screen as the image to be detected, and use the training to complete The final neural network model detects the content contained in the image to be detected; the filter effect execution unit is used to call out the filter effect of the scene corresponding to the marker when it detects that the image to be detected contains a marker as the current live filter mirror effects;
[0074] Among them, the landmarks include solid-color walls, billboards, and the sky: when the detection unit detects that the landmarks in the image to be detected are ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com