Comments (4)
daniel-j-h
commented on August 23, 2024
Can be anything from
- not enough data
- poor optimizer settings (lr too low?)
- not trained for long enough
- trained for too long
- ..
By now this project is outdated, unmaintained, and no longer state of the art, too.
…On June 7, 2021 9:07:17 AM UTC, jaigsingla ***@***.***> wrote:
Hi All,
I am able to get 0.83 of IOU using the Tanzania dataset using your code
and able to generate vector files after predictions.
Now, I have a 50cm VHR image over an urban area and corresponding
building shape files in geojson format. I applied the same techniques
as in the Tanzania dataset and trained the model with an IOU of .67
But, generated segmentation probabilities do not look good, what can be
the reason ?
I have used batch_size of 16, image_size of 512, lr= 0.00005 and loss
function of Lovasz.
I will be happy to hear from you.
regards,
Jai
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jaigsingla
commented on August 23, 2024
Hi Daniel,
You are right it may be anything. Can you guide me through? It will be
preety useful. In case you have commercial software, pls let me know.
…On Fri, 18 Jun 2021, 18:21 Daniel J. H., ***@***.***> wrote:
Can be anything from
- not enough data
- poor optimizer settings (lr too low?)
- not trained for long enough
- trained for too long
- ..
By now this project is outdated, unmaintained, and no longer state of the
art, too.
On June 7, 2021 9:07:17 AM UTC, jaigsingla ***@***.***> wrote:
>Hi All,
>
>I am able to get 0.83 of IOU using the Tanzania dataset using your code
>and able to generate vector files after predictions.
>Now, I have a 50cm VHR image over an urban area and corresponding
>building shape files in geojson format. I applied the same techniques
>as in the Tanzania dataset and trained the model with an IOU of .67
>But, generated segmentation probabilities do not look good, what can be
>the reason ?
>I have used batch_size of 16, image_size of 512, lr= 0.00005 and loss
>function of Lovasz.
>I will be happy to hear from you.
>
>regards,
>Jai
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manapshymyr-OB
commented on August 23, 2024
Hi All,
I am able to get 0.83 of IOU using the Tanzania dataset using your code and able to generate vector files after predictions.
Now, I have a 50cm VHR image over an urban area and corresponding building shape files in geojson format. I applied the same techniques as in the Tanzania dataset and trained the model with an IOU of .67
But, generated segmentation probabilities do not look good, what can be the reason ?
I have used batch_size of 16, image_size of 512, lr= 0.00005 and loss function of Lovasz.
I will be happy to hear from you.regards,
Jai
Hello!
on which OS have you performed this project?
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manapshymyr-OB
commented on August 23, 2024
Can be anything from - not enough data - poor optimizer settings (lr too low?) - not trained for long enough - trained for too long - .. By now this project is outdated, unmaintained, and no longer state of the art, too.
…
On June 7, 2021 9:07:17 AM UTC, jaigsingla @.***> wrote: Hi All, I am able to get 0.83 of IOU using the Tanzania dataset using your code and able to generate vector files after predictions. Now, I have a 50cm VHR image over an urban area and corresponding building shape files in geojson format. I applied the same techniques as in the Tanzania dataset and trained the model with an IOU of .67 But, generated segmentation probabilities do not look good, what can be the reason ? I have used batch_size of 16, image_size of 512, lr= 0.00005 and loss function of Lovasz. I will be happy to hear from you. regards, Jai
Hello!
Is it possible to run on OS Windows without Docker?
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Related Issues (20)
- image size HOT 1
- Optimizing rs merge HOT 8
- rs download not working in case of tanzania images HOT 4
- rs train results
- converting segmented masks into geojson files
- Available pre-trained models HOT 2
- Need an install instruction in a Python IDE HOT 4
- installation Error: No such file or directory: '/data/model.toml' HOT 10
- Data preparation
- Multipolygons cause "UnboundLocalError: local variable 'x' referenced before assignment" in rs cover HOT 1
- Don't see any prediction with rs serve HOT 5
- Error while training HOT 1
- Meaning of the QoD Metric HOT 2
- Bringin own data HOT 14
- RuntimeError: unexpected EOF, expected 2051578 more bytes. The file might be corrupted. HOT 1
- Augmented data is stopping weight calculation and training. HOT 1
- [](https://cla-assistant.io/mapbox/mapbox-maps-android?pullRequest=1777) <br/>Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our [Contributor License Agreement](https://cla-assistant.io/mapbox/mapbox-maps-android?pullRequest=1777) before we can accept your contribution.<br/><sub>You have signed the CLA already but the status is still pending? Let us [recheck](https://cla-assistant.io/check/mapbox/mapbox-maps-android?pullRequest=1777) it.</sub> HOT 1
- Extracting segmentation masks from bbox coordinates HOT 2
- Division by zero when training with small datasets caused by incomplete batch dropping
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