landmark-detection | Four landmark detection algorithms, implemented in PyTorch | Computer Vision library
kandi X-RAY | landmark-detection Summary
kandi X-RAY | landmark-detection Summary
This project contains three landmark detection algorithms, implemented in PyTorch.
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Top functions reviewed by kandi - BETA
- Main function for the StM regression
- Helper function for debugging
- Denormalize points
- Convert an image to an image
- Main function for the StM heatmap
- Helper function to save multiple images
- Denormalize a batch of points
- Load image file
- Generates panoptic
- Main function for x_sbr
- Main function
- Main regression function
- Main regression
- Generate a list of 300w files
- Train lk learn
- Generates a human 3 - 6 matrix from the metadata
- Basic train function
- Wrapper for debugging
- Evaluate the model
- Generate a list of images
- Load a list of files
- Create a frame script
- Generate WFLW list
- Train cycle -gan
- Save all faces to a list
- Save training data to file
landmark-detection Key Features
landmark-detection Examples and Code Snippets
Community Discussions
Trending Discussions on landmark-detection
QUESTION
I am trying to change the shape and position of eyes and lips and for this purpose I use tenserflow.js face-landmark-detection model. I get the all 468 facial landmarks but the problem is i don't know and i never find any solution on internet how to get the position of only required landmark like lips and eyes. I get all the points but want to apply changes on lips and eyes how i apply changes only on these landmarks.
...ANSWER
Answered 2021-Mar-16 at 05:47The coordinates of are available here.
You can refer to the mesh image example which has the points as well but you would need to zoom in and check them manually.
These are the exact coordinates that you would need for your use case.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install landmark-detection
You can use landmark-detection like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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