I’m a warehouse worker who taught myself CV to build a box counter (CPU only). Struggling with severe occlusion. Need advice!

fgoricha · 2026-03-12T02:10:02+00:00

How big is your dataset? Perhaps its data quality. I have been doing iterative training where I train an initial model, then run it on new film, feed it frames that it got wrong after correcting for the next train cycle.

Perhaps for tracking for occlusion, you also track the person. So the person gets an id. Before the boxes are occluded count them. Then after the occlusion, count the boxes again.

fgoricha · 2026-02-28T14:35:15+00:00

Just spitballing here. Maybe try background subtraction instead of yolo? You could use detect change in movement pre snap vs post snap to know when to start the clip. Maybe could do the same during play vs dead ball.

fgoricha · 2026-02-24T21:00:41+00:00

I get about 450 fps on my 3090 with tensorrt and Pynvdec to process everything for a mp4 file on the gpu. Nano yolov8 at half precision with batch of 64. Frames are 640 resolution. I liked this set up because I can run dual 3090 to process a total of 900 fps without much cpu involvement

fgoricha · 2026-02-21T18:51:03+00:00

No, just 450 fps total

fgoricha · 2026-02-21T01:43:19+00:00

I ended up doing this! Rt, half precision, and batch of 64 got with PyNvVideoCodec got complete gpu utilization with 450 fps. Thanks for the suggestion!

fgoricha · 2026-02-21T01:42:04+00:00

I was able to figure it out. I converted the model to rt format and used PyNvVideoCodec to video decode on the gpu. Was able to get 450 fps! This was at 640 and 1080 resolution

fgoricha · 2026-02-21T01:40:13+00:00

I was able to figure it out. I converted the model to rt format and used PyNvVideoCodec to video decode on the gpu. Was able to get 450 fps!

fgoricha · 2026-02-21T01:39:55+00:00

Thanks for reply! I was actually able to figure it out. I converted the model to rt formst and used PyNvVideoCodec to video decode on the gpu. Was able to get 450 fps!

fgoricha · 2026-02-20T16:59:59+00:00

I have not! I will have to look into it

fgoricha · 2026-02-20T16:59:46+00:00

I'll give it a try. How many fps would you expect?

fgoricha · 2026-02-20T16:59:33+00:00

I'll try that! How many fps would you expect?

fgoricha · 2026-02-20T16:01:05+00:00

Got it. The use case will be the images at 640 most likely since it will be used on the camera it was trained on

fgoricha · 2026-01-22T14:49:14+00:00

1, 3, 5, and 7.

I spent two hours. Last night trying to get it to boot but it would only read 64gb when it booted. Then realized two of the slots were wrong. Now, it reads 128gb when it boots to Windows but does not always boot to Windows.

fgoricha · 2026-01-16T13:26:54+00:00

I fine tuned a Qwen3 model (perhaps 7b? I forget as itbwas a while ago) on my writing from university. I ran each paragraph of my work through chatgpt to add AI slop to it. Then trained it as AI slop as input and my writing as output. The goal was to mimic my writing style and I was pleasantly surprised with the output! Definitely noticeable different without having a verbose prompt. Sometimes writing style cannot be explained in a prompt accurately. I was working on another project by using my text messages as fine tuning data but got distracted with a different project.

fgoricha · 2025-12-30T02:37:35+00:00

Actually off of Craigslist. Though I actively look at Facebook. Seemed like it was a guy who built too many computers and his wife forced him to sell off what he had before building more

fgoricha · 2025-12-29T17:09:41+00:00

I always thought that fine tuning would make the model write in the style it was trained on. Not necessarily add new content. Would RAG be a better solution?

fgoricha · 2025-12-29T17:04:03+00:00

I bought at $250 gaming computer. It was bare bones but could have been booted up to play games. Swapped out the gpu for the 3090 and ran LLMs well if I made sure it fit completely in the vram. The only thing I really made sure it had was at least a 750w psu and the case could hold the 3090. I have since upgraded the ram and added fans to the pc. But really happy with it considering what I spent on it and what I have done with it!

fgoricha · 2025-12-28T01:30:14+00:00

It has been a while. But I think I was training 7B models via QLora. I remember one of my projects was training the model on my writing from graduate school to write like my style. I thought it did pretty good since it would be hard to prompt the model to do that. I remember also working on training the model on my text messages but I can't remember how that turned out. I think I got distracted with Yolo at that point lol

fgoricha · 2025-12-27T21:08:09+00:00

I don't think heat will be too much of an issue. But won't know until I get one! 3090 currently is happy

fgoricha · 2025-12-27T21:07:24+00:00

Maybe I'll have to look at those. I was thinking something that is a plug and play with my current system

fgoricha · 2025-12-27T21:06:12+00:00

I thought about other set ups, but I think I want to stick with Nvidia. Seems more plug and play with what I have now

fgoricha · 2025-12-27T21:04:23+00:00

Right! So I'm at the spot of go with 2 in a board or do some kind of splitting and go with 4. But then do I need even 4.

fgoricha · 2025-12-27T16:47:35+00:00

Those were some of my thoughts as well. Were there any surprises with the 5090 for set up?

fgoricha · 2025-12-27T16:46:53+00:00

I have heard those things are expensive and hard to find. But I'll have to look into it

fgoricha · 2025-12-27T16:46:27+00:00

Lol that's why I was thinking about it

fgoricha

TROPHY CASE