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Would you please explain why input channel of your tflite model is 4? shape of input : [1,512,512,4]
shape of input : [1,512,512,4]
The text was updated successfully, but these errors were encountered:
Hi
Please refer to https://github.com/navervision/mlsd#line-segment--box-detection-demo and here https://www.tensorflow.org/lite/performance/gpu#optimizing_for_gpus
MLSD was trained with RGB images (3 channels) but we added an alpha channel so it appears 4 channels as input.
If you want to check how to convert the trained MLSD models from 3 to 4 channels, please refer to https://github.com/navervision/mlsd/blob/master/frozen_models.py#L78
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Thank you for your quick response!
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Would you please explain why input channel of your tflite model is 4?
shape of input : [1,512,512,4]
The text was updated successfully, but these errors were encountered: