Status Update
No update yet.
Comments
ma...@uvx.ai
Hello,
To assist us in conducting thorough investigation, we kindly request your cooperation in providing the following information regarding the reported issue:
- Has this scenario ever worked as expected in the past?
- Do you see this issue constantly or intermittently ?
- If this issue is seen intermittently, then how often do you observe this issue ? Is there any specific scenario or time at which this issue is observed ?
- To help us understand the issue better, please provide detailed steps to reliably reproduce the problem.
- It would be greatly helpful if you could attach screenshots of the output related to this issue.
Your cooperation in providing these details will enable us to dive deeper into the matter and work towards a prompt resolution. We appreciate your assistance and look forward to resolving this issue for you.
Thank you for your understanding and cooperation.
nr...@google.com
nr...@google.com
Thank you for reaching out. Here is the information requested regarding the reported issue:
In response to the first point, I previously conducted an uptraining with approximately twenty bank statements, and this issue did not occur.
For the second point, I have attempted the uptraining three times, and the same error appeared each time.
To reproduce the issue: I labeled 76 bank statements, dividing them as follows—59 in the training dataset and 17 in the test dataset. I also modified the label schema by deactivating the following labels: account_types, bank_address, bank_name, client_address, and client_name. Additionally, I created a new label for rib (bank account identifier). I then proceeded to uptrain a new version, and the issue arises during this process.
I hope this information helps clarify the situation. Please let me know if you need any further details.
Thank you for your assistance in resolving this matter.
ma...@uvx.ai
Hello,
Thank you for reaching out to us with your request.
We have duly noted your feedback and will thoroughly validate it. While we cannot provide an estimated time of implementation or guarantee the fulfillment of the issue, please be assured that your input is highly valued. Your feedback enables us to enhance our products and services.
If you are looking for a faster resolution and dedicated support for your issue, I kindly request you to file a support ticket by clicking
We appreciate your continued trust and support in improving our Google Cloud Platform products. In case you want to report a new issue, Please do not hesitate to create a new issue on the
Once again, we sincerely appreciate your valuable feedback; Thank you for your understanding and collaboration.
nr...@google.com
Hello,
I have reproduced the issue and I could get the vertices too. Could you please re-verify if the issue still persists on your end.
ma...@uvx.ai
nr...@google.com
Hello,
Thank you for reaching out to us with your request.
We have duly noted your feedback and will thoroughly validate it. While we cannot provide an estimated time of implementation or guarantee the fulfillment of the issue, please be assured that your input is highly valued. Your feedback enables us to enhance our products and services.
We appreciate your continued trust and support in improving our Google Cloud Platform products. In case you want to report a new issue, Please do not hesitate to create a new issue on the
Once again, we sincerely appreciate your valuable feedback; Thank you for your understanding and collaboration.
mu...@gmail.com
I'm also experiencing this issue. I tried both these versions
- pretrained-ocr-v2.0-2023-06-02
- pretrained-ocr-v1.0-2020-09-23
and the vertices prop is an empty array. I tried both through cURL and by looking at the RPC response from the Python client lib.
Description
We have discovered this becomes missing from the response yesterday. Only normalized vertices are there now.
paragraph.layout.boundingPoly.vertices