Comments (3)
Hi, thanks for trying out the repo!
Interesting - yes that loss does appear to be very low right from the start. I just tried a fresh github clone and see an initial loss (i.e. batch 0) of 0.34110, which seems more sensible.
Can you take a look at the tensorboard logs and switch to the images tab? Does it look like the images are being loaded correctly? And if so, how do the disparity predictions look? Feel free to post a screenshot.
A loss that low straight away suggests that it might be loading blank images. If you downloaded the raw KITTI and have png
images then try adding a --png
flag to your training command.
In the meantime I will push a small fix to raise an error if no image files are found (currently it's caught in a try except
block).
Thanks a lot
from manydepth.
Hi, thanks for trying out the repo!
Interesting - yes that loss does appear to be very low right from the start. I just tried a fresh github clone and see an initial loss (i.e. batch 0) of 0.34110, which seems more sensible.
Can you take a look at the tensorboard logs and switch to the images tab? Does it look like the images are being loaded correctly? And if so, how do the disparity predictions look? Feel free to post a screenshot.
A loss that low straight away suggests that it might be loading blank images. If you downloaded the raw KITTI and have
png
images then try adding a--png
flag to your training command.In the meantime I will push a small fix to raise an error if no image files are found (currently it's caught in a
try except
block).Thanks a lot
You are right, I am using png files, which needs a flag even when I am in monodepth2. But I did not expect this to be error-less/warning-less. Thank you for your answer
from manydepth.
Thanks @Owen-Liuyuxuan for:
- Being an early adopter of our repo
- Reporting the bug when you found it, and
- Reporting back when the fix worked!
And thanks @JamieWatson683 for the quick fix for this.
from manydepth.
Related Issues (20)
- Training on NYU-V2 Dataset
- Stereo + Tempora (training with stereo video like monodepth2)
- About cityscapes disparity to depth_gt HOT 2
- Can the scale ambiguity be resolved with multi-frame approach? HOT 1
- Depth Estimation Results on Single Frames
- Question of relative pose in matching augmentation.
- how to test many frames at the same time?
- Help training out bright reflection... HOT 1
- About scale problem in monocular setting HOT 2
- Why the training time of manydepth is much shorter than monodepth2? HOT 3
- when i test the image,the result of the depth is black HOT 1
- About MAX gt_depth HOT 2
- Get gt depth for other Cityscape images HOT 2
- Calculate the gt depth for Cityscape images HOT 3
- About qualitative results presented in Figure 4 HOT 1
- The dataset GT-Calculation HOT 1
- what should the
- How to conduct multi GPU training
- On the pre training model of cityscapes HOT 3
- custom dataset prepare
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from manydepth.