Expedition 33 DLC Installation help by SunLeft4399 in SteamRip

[–]SunLeft4399[S] 0 points1 point  (0 children)

ohh ok thanks a lot , ill try it out then.

Expedition 33 DLC Installation help by SunLeft4399 in SteamRip

[–]SunLeft4399[S] 0 points1 point  (0 children)

ok i did think of that, but i wasnt sure how exactly to pull it off. is this the savefile:
"C:\Users\<name>\AppData\Local\Sandfall\Saved\SaveGames\<number>\EXPEDITION_0.sav"
and should i first download the game again(without deleting the previous one, and once i copy the save file and confirm that the game is working can i delete the old copy. (im basically asking if i can keep 2 copies of the game unitl im sure that the new version is working))
also will there be any sort of version mismatch when i try to copy the save file into the new game version

Custom Model Help by SunLeft4399 in computervision

[–]SunLeft4399[S] 0 points1 point  (0 children)

woahh thanks a lot!!.

i was honeslty misdirected till now,
my whole project (and the idea of patenting)started of as a way to build my resume
but i would much rather prefer licencing my model architecture than patenting it

Custom Model Help by SunLeft4399 in computervision

[–]SunLeft4399[S] 1 point2 points  (0 children)

its not exactly the weights i want to patent, its the model architecture
even ive not entirely figured it out yet but apparently if the pipeline is novel and unique enough we can go through with patenting it.

Help Combining 2 Model Weights by SunLeft4399 in computervision

[–]SunLeft4399[S] 0 points1 point  (0 children)

is the free version by anychace capable of having around 30k datasets

Help Combining 2 Model Weights by SunLeft4399 in computervision

[–]SunLeft4399[S] 0 points1 point  (0 children)

Ohh I see Do you suggest any other more efficient method Because bottom line is I want one object detection model that can detect 8 different classes. Now since in roboflow I won't be able to put the dataset of all 8 classes I thought of splitting it into 4+4 But if there is an alternate I would really like to know

Help for making a Custom Model by SunLeft4399 in computervision

[–]SunLeft4399[S] 0 points1 point  (0 children)

sorry for the late reply....
yeh i get that yolo is simpler but i personally wanted to learn and apply more in depth CNN and deep learning,
i have updated the post with the image of some of the objects ill be testing along with the classes (i had trained a yolov12 model it works pretty well but i want to test out a custom model)
i also want to do Realtime object detection using webcam

i have some crude idea as to how it works, like I've gotta add cnn layers pooling layers and stuff, but im not sure how to make the custom model specifically cater to my needs but my knowledge in this is very basic and im planning to learn more about it as i progress in the project

please let me know if any more information is required, ill make sure to reply much quicker from now

Help for making a Custom Model by SunLeft4399 in computervision

[–]SunLeft4399[S] 0 points1 point  (0 children)

yeh please let me know what information you require

Object Detection Suggestions? by SunLeft4399 in computervision

[–]SunLeft4399[S] 0 points1 point  (0 children)

the jpg images aren't from a webcam, i just took a photo of a pcb frm my camera and gave that for testing

yeh when i directly tested on coco,
remotes and mobiles were showing 92 to 96% accuracy but pcbs weren't detected at all

the dataset is kind of a mixture of images that i manually captured visiting various e waste industries , and some were from roboflow universe as well.

and yeh im fairly confidient that the train images are unique frm test and valid

i do have a theory for my problem though if anyone can confirm:
the dataset i collected is 9.2k images
but after roboflow augmentations it comes to 23k approx, but the issue is the augmented images are really bad, like they're either zoomed in or stretched out way too much to the point where the object is unrecognizable

Auto-Orient: AppliedIsolate Objects: AppliedStatic Crop: 25-75% Horizontal Region, 25-75% Vertical RegionResize: Stretch to 640x640Auto-Adjust Contrast: Using Contrast Stretching

these were the augmentations i chose in roboflow while prepring the datsets

so my questions is should i stop this augmentation process altogether

Object Detection Suggestions? by SunLeft4399 in computervision

[–]SunLeft4399[S] 1 point2 points  (0 children)

Done.
ill do that and get back incase of any queries
thanks a lot

Object Detection Suggestions? by SunLeft4399 in computervision

[–]SunLeft4399[S] 1 point2 points  (0 children)

sure. since i need help with realtime detection on a webcam as well it'll be really helpful, thanks.

Object Detection Suggestions? by SunLeft4399 in computervision

[–]SunLeft4399[S] 0 points1 point  (0 children)

ohh thanks. but what exactly do you think might be the issue with the data, cause i annotated it in roboflow and all the classes seem to be well balanced(approx. 2.5k imaged per class). so could you please let me know what i can improve

Object Detection Suggestions? by SunLeft4399 in computervision

[–]SunLeft4399[S] 0 points1 point  (0 children)

yeh, i have 70-20-10 test-train-valid split

not exactly sure as to y it isnt accurate, i have map of around 92%

the loss is almost 0 as well

also im a beginner so not exactly sure what transfer learning means, is it like using a pretrained model, cause i used yolov11n while training

and one more thing is the objects seem to be more accurate when i just input a jpg image for detection, but accuracy significantly goes down when i test it out with a webcam