Relative Content

Tag Archive for androidkotlinoutputimage-segmentationyolo

how can i implement yolop model(segemntation model) with output shapes [1, 25200, 6],[1, 2, 640, 640] , [1, 2, 640, 640] in android kotlin

I’m currently working on an Android project that requires segmentation using the YOLOp model. I have converted the model to onnx/tflite format successfully, but I’m facing difficulties in handling the output shape. The model contain three outputs with shapes [1, 25200, 6],[1, 2, 640, 640] and [1, 2, 640, 640]
I would greatly appreciate any guidance on how to interpret and process this output shape in my Android application. Specifically, I need assistance with understanding the structure of the output tensor and extracting the bounding box coordinates and segmentation masks for object.

how can i implement yolop model(segemntation model) with output shapes [1, 25200, 6],[1, 2, 640, 640] , [1, 2, 640, 640] in android kotlin

I’m currently working on an Android project that requires segmentation using the YOLOp model. I have converted the model to onnx/tflite format successfully, but I’m facing difficulties in handling the output shape. The model contain three outputs with shapes [1, 25200, 6],[1, 2, 640, 640] and [1, 2, 640, 640]
I would greatly appreciate any guidance on how to interpret and process this output shape in my Android application. Specifically, I need assistance with understanding the structure of the output tensor and extracting the bounding box coordinates and segmentation masks for object.