Comments (2)
Hi,
Yes, in the conversion the output type is set to imageType.colorSpace(“GRAYSCALE”), to visualize depth maps in the application as images. If you need float values you can use the json serialized tensorflow model available here
from mobilepydnet.
Great, thank you, Filippo!
from mobilepydnet.
Related Issues (20)
- what is the range you used for midas output HOT 3
- Dataset release HOT 5
- Do you use BN during training? HOT 1
- How to collect training dataset HOT 2
- About training loss HOT 1
- training loss weight for different scale depth prediction HOT 1
- Can you provide a detailed documentation towards training the model ? HOT 4
- How does mobilePydnet architecture differ from Pydnet architecture HOT 4
- Quantized Model HOT 2
- Crash Unexpected failure when preparing tensor allocations - Android 10 (Mi 9T) HOT 8
- Depth image for training HOT 1
- Questions about training pipeline HOT 2
- How to support KPU? HOT 1
- Training Code
- Model Output Issues
- Android Version HOT 3
- Disparity to distance HOT 5
- " Data loss: not an sstable" error when running provided pretrained inference
- About evaluation and loss function HOT 2
- What data augmentation do you use?
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