mobilePydnet

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Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.15.0 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependabot[bot]

Bumps [pillow](https://github.com/python-pillow/Pillow) from 7.1.2 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@​radarhere, @​hugovk] Restrict builtins within...

dependabot[bot]

Disparity to distance

6

First I want to congratulate you on the project. I would like to know how to convert, the result of the model, to distance in meters. Searching on the internet...

rodrigoGA

Hi, Can you share the training code?

sieme97

Questions about training pipeline

2

First of all, thanks for sharing the great project! I have tried to implement your mobilePydnet network but cannot reach totally to the same results compared with pre-trained model. For...

tholmb

How to support KPU?

1

I want test it on k210, but I can not transform model. ``` 1. Import graph... Fatal: Shapes must be same, but got [1] and [] ``` And k210 Input...

icode

Speedup on Android

16

I'm running the app on Samsung S8. I get about 0.5 fps for the highest quality and around 2 fps for the lowest. I'm trying to speed it up but...

eyalhoc

Crash Unexpected failure when preparing tensor allocations - Android 10 (Mi 9T)

8

Crashing at startup: ``` 2020-08-23 14:01:54.068 3006-3124/unibo.cvlab.pydnet_tflite E/AndroidRuntime: FATAL EXCEPTION: inference Process: unibo.cvlab.pydnet_tflite, PID: 3006 java.lang.IllegalStateException: Internal error: Unexpected failure when preparing tensor allocations: tensorflow/lite/kernels/conv.cc:313 input->dims->size != 4 (1 !=...

onurays

Depth image for training

1

Hello Filippo Aleotti, As per #20 you have mentioned the mobilepydnet was trained using depth map. But the pydnet repo suggests using monodepth training script which require stereo image pair....

Karthikaddagadderamesh

training loss weight for different scale depth prediction

1

the results of my network is quite blur. I feel it is about the loss. 1. Can I know if you used multi-scale graidient loss? I saw the mega depth...

daisily727