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Eyebrow Segmentation with Mediapipe in Python
Have I written custom code (as opposed to using a stock example script provided in MediaPipe)
No
OS Platform and Distribution
windows 11
Python Version
running on google colab
MediaPipe Model Maker version
No response
Task name (e.g. Image classification, Gesture recognition etc.)
Eyebrow Segmentation
Describe the actual behavior
I'm currently working on a project that involves eyebrow segmentation using the Mediapipe library in Python. Despite my efforts in researching and experimenting with the available resources, I'm encountering difficulties in implementing this feature effectively.
Describe the expected behaviour
Would anyone be able to provide guidance or share code snippets for achieving eyebrow segmentation with Mediapipe? I've explored the documentation and various online tutorials, but I'm struggling to adapt the concepts to my project's requirements.
Standalone code/steps you may have used to try to get what you need
not able to find any code
Other info / Complete Logs
I'm currently working on a project that involves eyebrow segmentation using the Mediapipe library in Python. Despite my efforts in researching and experimenting with the available resources, I'm encountering difficulties in implementing this feature effectively.
Would anyone be able to provide guidance or share code snippets for achieving eyebrow segmentation with Mediapipe? I've explored the documentation and various online tutorials, but I'm struggling to adapt the concepts to my project's requirements.
If anyone has experience or insights into implementing eyebrow segmentation specifically with Mediapipe, I would greatly appreciate any assistance or pointers you could offer.
Thank you very much for your time and consideration!
Hi @Gauravi1,
Currently, our image segmentation model cannot perform this task. If there are methods available to enable this capability through graph adjustments and customization, we will inform you. However, based on my understanding, this may not be feasible.
For now, we will categorize this as a feature request and share it with the team. Depending on future demand, we may enhance the image segmentation functionality in the near future.
Thank you!!