Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Profile picture
HurtRaccoon43
Moderator
2 Questions, 6 Answers
  Active since 24 May 2023
  Last activity 3 months ago

Reputation

0

Badges 1

4 × Eureka!
0 Votes
4 Answers
304 Views
0 Votes 4 Answers 304 Views
4 months ago
0 Votes
4 Answers
183 Views
0 Votes 4 Answers 183 Views
Hi there. Does the AWS Autoscaler (PRO account, Web app) work? I'm a bit confused how it should work. I'm able to run an EC2 instance via AWS Autoscaler but ...
3 months ago
0 Hi Guys. I Tried To Run My Task On A Remote Machine Via Docker By Using The Web Ui And

Hi, guys! I get the same error. But looks like the ultralytics (YOLO) is dependent from the opencv-python .

How did you resolve this dependency? In my case I get ModuleNotFoundError: No module named 'cv2' after a simple replacement of the opencv-python by the opencv-python-headless .

11 months ago
0 Hello Everyone! I'M Using Clearml, Yolo V8 And Clearml Gpu Compute (For Orchestration). The Issue Is That I Can'T Find A Compatibility To Use Gpu During Yolo Training (On A Remote Instance, Not Local). My Local Machine Is Macbook On M2 Chip - Maybe It'S

Thank you for the reply @<1523701070390366208:profile|CostlyOstrich36> . I will try the image.

The initial issue was next:

CUDA initialization: The NVIDIA driver on your system is too old (found version 11040). Please update your GPU driver by downloading and installing a new version from the URL: 
 Alternatively, go to: 
 to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ../c10/cuda/CUDAFunctions...
4 months ago
0 Hello Everyone! I'M Using Clearml, Yolo V8 And Clearml Gpu Compute (For Orchestration). The Issue Is That I Can'T Find A Compatibility To Use Gpu During Yolo Training (On A Remote Instance, Not Local). My Local Machine Is Macbook On M2 Chip - Maybe It'S

Seems, I found the issue. On macbook I got torch==2.1.0 in requirements.txt . But on AWS P3 instance I get torch==2.1.0+cu121 after reinstallation and GPU works fine. Hope, now it will work in a docker container as well.

4 months ago
0 Hi Guys. I Tried To Run My Task On A Remote Machine Via Docker By Using The Web Ui And

For anybody who will get stuck on this issue in the future as well: None

11 months ago
0 Hi There. Does The

The issue was in my Terraform VPC configuration: I missed the enable_nat_gateway = true . Thus EC2 instance was not able to even update OS packages. The "Instance log files" on the AWS Autoscaler page pointed me to that issue.
SSH connection is not required, yep.

3 months ago
0 Hi There. Does The

Thank you @<1523701087100473344:profile|SuccessfulKoala55> for the ideas. AMI is - ami-0025f0db847eb6254 , it may doesn't have docker, yeah - I will check out that.
My main assumption is that AWS Autoscaler can't establish SSH connection with a EC2 instance. Because the EC2 instance is created without public IP address (not sure if it's the clue).

3 months ago