Is it possible to train custom image segmentation models and deploy on MediaPipe web? As I know we can use some .tflite models on MediaPipe, but it is a question that what are the constrains? What ops are valid to use with WebGL backend? What kind of architecture do it support?
And also is it possible to find-tune available models, like Selfie-Segmentation and Selfie-Segmentation-Multi-Class for web?
Is it possible to train custom image segmentation models and deploy on MediaPipe web? As I know we can use some .tflite models on MediaPipe, but it is a question that what are the constrains? What ops are valid to use with WebGL backend? What kind of architecture do it support?
And also is it possible to find-tune available models, like Selfie-Segmentation and Selfie-Segmentation-Multi-Class for web?