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This repository is primarily maintained by Omar Santos and includes thousands of resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.

  • Updated Feb 24, 2020
  • Python
yolov3
alontrais
alontrais commented Feb 11, 2020

I cloned the newest version, when I run the train script I get this warning:
WARNING: non-finite loss, ending training tensor([nan, nan, nan, nan], device='cuda:0')

Caching labels (20 found, 0 missing, 0 empty, 0 duplicate, for 20 images): 100%|█████████████████████| 20/20 [00:00<00:00, 465.89it/s]
Caching labels (10 found, 0 missing, 0 empty, 0 duplicate, for 10 images): 100%|████████████

bug
ptitzler
ptitzler commented Nov 18, 2019

Recreate steps:

  • upload a file that is not a properly encoded JPG/PNG image to a COS bucket
  • In cloud annotations select the bucket and annotation type "localization"

Result:

  • A generic file icon is displayed in the carousel but no error is displayed.
  • One can draw a bounding box in the editor

Expected result:

  • The user is notified that one or more objects in the bucket are not of
workshop
aelkugia
aelkugia commented Jan 22, 2020

Current Monitoring/Alerts section pertains to Gravity 5.5 and earlier

This task covers extending the training section to involve Gravity 6.X+

Also a new section should be added to the Monitoring/Alerts discuss setup of Prometheus to scrape metrics from a custom pod/deployment. Some customers have been looking at running a simple pod and would like to see the metrics scraped from it to the de

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