Comments (9)
Hi,
I’ve included the code to export the model as tflite. About the second question, actually the model tries to estimate the inverse depth, so you need to apply a scale factor to obtain the depth
from mobilepydnet.
Hey @unknow-dev, I have it right here: https://github.com/CDDelta/DBot/blob/master/models/pydnet.tflite :)
from mobilepydnet.
Hi, have you tried with the new model? The tflite model you are using seems the one trained on MatterPort
from mobilepydnet.
Hi, thanks for replying.
I have tried using that model before along with the script provided and the results I get are really good but I'm looking for a .tflite version of this model.
Right now I am trying to convert that model into the .tflite format but I am doing so. Have you done some work converting this model to tflite? I notice you have a tf.js version of the model working.
from mobilepydnet.
Hi, I have an additional unrelated question. Does the model predict the straight line distance from the camera to the point in the image or the distance perpendicular to the camera plane?
ie. does the model predict "di" as in the diagram below or the length of the hypotenuse of that triangle?
from mobilepydnet.
Hey, thank you so much for taking the time out of your day to help me out!
The script worked and I managed to export the model for tflite with really nice looking results. I will have to look deeper into inverse depth.
I really appreciate your help and work here, thank you! ❤️
from mobilepydnet.
Hi @CDDelta, Could you share the Android projection inference this model?
Thanks,
from mobilepydnet.
Hey @unknow-dev, I have it right here: https://github.com/CDDelta/DBot/blob/master/models/pydnet.tflite :)
Thanks @CDDelta ,
Im trying to inference pydnet on Android :D
from mobilepydnet.
@CDDelta Can you update the link to your tflite file? Would like to try it out for myself :)
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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from mobilepydnet.