Closed kaikaizhu closed 11 months ago
Hi @kaikaizhu,
Regrettably, at present, we do not provide customization options for our Tasks. Nonetheless, enhancing this feature is a top priority for us, and we anticipate having a solution in the near future (though we advise against waiting for it). In the interim, the only suggestion available is to either modify the code directly or utilize our legacy Face Detection solution, adjusting its graph as needed.
Thank you
You can run the FaceLandmarker API directly. There is no need for any pre-treatment as our image handling code handles any necessary resizing/conversions.
Have I written custom code (as opposed to using a stock example script provided in MediaPipe)
None
OS Platform and Distribution
ubuntu
MediaPipe Tasks SDK version
No response
Task name (e.g. Image classification, Gesture recognition etc.)
face landmarks detection
Programming Language and version (e.g. C++, Python, Java)
c++/python
Describe the actual behavior
I want to know, if I only have 256x256 face image, how should I do face landmarks detection. What pretreatment needs to be done? Or if there is any code that runs face_landmarks directly.
Describe the expected behaviour
none
Standalone code/steps you may have used to try to get what you need
Other info / Complete Logs
No response