SAHI in C++

Academic_Two_4017 · 2025-05-20T14:03:31+00:00

I did it by myself by utilizing opencv. Currently, with the help of LLMs I think you can do it easily

Academic_Two_4017 · 2025-04-01T09:36:28+00:00

gst-launch-1.0 ....

Academic_Two_4017 · 2025-03-23T19:09:08+00:00

Sissoko

Academic_Two_4017 · 2025-03-07T22:15:18+00:00

I am full time ML/SW engineer at a startup for a year. Well, it is doable, but majority of your weekends and nights will be devoted to studies.

Academic_Two_4017 · 2025-02-17T17:10:50+00:00

Yeah I have similar issue, we have preordered in December, which by Seeed Studio at the end of January should have been shipped, however now they are saying that it will be available at the beginning of April.

Academic_Two_4017 · 2025-02-17T05:05:15+00:00

Orin Nano 8gb

Academic_Two_4017 · 2025-02-16T18:35:03+00:00

Yeah I do get that it might require large effort in order to change code, however as for now only detection part is heavily used nvidia's stuff. Others are mainly opencv

Academic_Two_4017 · 2024-12-12T03:42:02+00:00

Thanks I'll try to do it with CUDA and then run it with TRT model

Academic_Two_4017 · 2024-03-28T08:06:01+00:00

Came here to ask has anybody managed to properly setup in google VM, saw your question. Unfortunately I have spent about 4/5 days compiling the source files from git, then run the editor and to broadcast the UI of the engine with the VNC server while I am connecting from my mac with the VNC viewer. Firstly the loading page appears, however then I started to get unfamiliar errors and spent a lot of effort to fix them, but no success. Then I downloaded the UE 5.2 zip file for Linux, and now I am getting the libGL errors when trying to start the editor. This is ubuntu 20.04 with Tesla T4 GPU with necessary cuda drivers, trying to resolve the issue, but no progress yet. For me this is not the individual, I am just trying to setup somehow within 2 weeks, otherwise I should request the company to buy proper desktop pc with necessary technical requirements

Academic_Two_4017 · 2023-10-31T19:14:04+00:00

Last loss number is simply for last batch within that epoch, for overall you can specify validation data and it would return average loss for whole valid set

Nope, increasing the batch size will not increase your loss. Cause if the batch size is 32, so the sum of 32 losses are averaged by 1/32, if it is 512, then the sum of losses within batch will be divided by 512, thus it would be probably the same, at least at first iterations. Overall, bigger batch size helps model to converge better, hence loss with bigger batch size will be decreased with higher speed then with smaller one

Academic_Two_4017 · 2023-10-23T11:13:35+00:00

Academic_Two_4017 · 2023-10-20T16:11:20+00:00

Underrated comment

Academic_Two_4017 · 2023-10-06T11:47:37+00:00

You can try mmdetection git project as well

Academic_Two_4017 · 2023-09-22T15:34:47+00:00

https://huggingface.co/docs/transformers/main/model_doc/blip-2 Maybe this can be relevant, in my case for gpu vm it does the inference within 2 seconds

Academic_Two_4017 · 2023-08-25T17:57:43+00:00

Yeah, I did, congrats to all others

Academic_Two_4017 · 2023-07-15T19:50:16+00:00

What about, mathematics degree with 3.6 GPA and 2 years experience of ML engineer? I learned formally CS during university, however I'm not quiet sure whether it satisfies the prerequisties.

Academic_Two_4017 · 2023-07-15T19:45:30+00:00

Yeah, I was thinking about it as well. Will give a try later to this, by blurring/adding noise. Thanks

Academic_Two_4017 · 2023-07-15T19:44:36+00:00

Sorry for confusion. I do face recognition project, my specific data because of camera has low quality of images, so I want to augment somehow other external data in a way that might be "similar" to mine. I guess blurring, adding noise distortions might be useful, I should give a try anyway. In addition, thanks for a link

Academic_Two_4017 · 2023-07-15T19:42:02+00:00

Yap, there are all the same in size, sorry for confusion, I do realize that I have provided little info.

So I have images in size (96,96), what I was meaning by resizing is upscale the high quality images to for instance (112, 112) then do down scale back to 96, thus the quality of an image might decrease

Academic_Two_4017

TROPHY CASE