Uploading huge yolo dataset causes error 500
See original GitHub issueI have 11G zip yolo dataset. When I try to upload it through web interface, i get these errors:
Uncaught (in promise) TypeError: Cannot read property 'toString' of undefined
at create-task-content.tsx:156
:8080/api/v1/jobs/5/annotations?format=YOLO%201.1:1 Failed to load resource: the server responded with a status of 500 (Internal Server Error)
cvat-app.tsx:217 Error: Request failed with status code 500. "Exception: Can't find image info for '/tmp/tmpnq5lma66/obj_train_data/frame_000000.png'\n".
e @ cvat-app.tsx:217
:8080/api/v1/tasks/6/data:1 Failed to load resource: the server responded with a status of 413 (Request Entity Too Large)
cvat-app.tsx:217 Error: Request failed with status code 413. "<!DOCTYPE HTML PUBLIC \"-//IETF//DTD HTML 2.0//EN\">\n<html><head>\n<title>413 Request Entity Too Large</title>\n</head><body>\n<h1>Request Entity Too Large</h1>\nThe requested resource does not allow request data with POST requests, or the amount of data provided in\nthe request exceeds the capacity limit.\n</body></html>\n".
how can we fix or workaround this?
Issue Analytics
- State:
- Created 3 years ago
- Reactions:2
- Comments:7 (4 by maintainers)
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https://github.com/openvinotoolkit/cvat/pull/3692
nginx is set client_max_body_size to 0 as should. is it django overriding or that sendfile lib? that one seems to utilize apache2, so im struggling ^^ Vinoguys! help? =)