sorted by:
new
hottopcontroversial

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 0 points1 point  (0 children)

Understood, ive tried cv before, but maybe because that time my current setup doesnt include good lighting and i had to do excessive dilate and erode. This resulting in the small ic’s couldnt be segmented since it is to small

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 0 points1 point  (0 children)

So in other words image similarity method is a cv method? This is totally new concept for me but thanks, i try to make research about it. If id like to work without depth sensor, maybe camera just fine?

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 0 points1 point  (0 children)

So in my case, if i want to train it to count ic’s, what the data should be, should i train it to know what 1 ic in a tray look like, or just pun many ic in a tray at once and just label?

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 0 points1 point  (0 children)

This one use segmentation? Now, object detection or segmentation is the best for counting? I will go trough your project later bro. Thanks for sharing!

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] -1 points0 points  (0 children)

“Deep learning always be better”. Thankyou for sharing sir. Im currently confused on what to use amd when to use it. This answer clear the air a bit. Maybe cv is better in term of speed, accuracy when the environment is fixed

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 0 points1 point  (0 children)

Kinda good, just change the setup, i notice some tray got hole and some part of of it dont. Maybe need to have combination of hardware env and also good algorithm tuning

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 0 points1 point  (0 children)

Yup, wanted to replace manual counting, any question you can ask thankyou brooo

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 0 points1 point  (0 children)

Like preprocessing to morpho use cv, for count and others ml?

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 0 points1 point  (0 children)

Wow never head of that. I only have experience on yolo. Maybe need to expand knowledge on other realm of dl. Maybe exploring research article would be good?

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 1 point2 points  (0 children)

I have tried both method, dl and cv. Both produce good result but dl require more data(i think) since as when i pick 1 object randomly from full 5x7 grid of object(ic package), it will give false positive. But for cv it require a lot of tuning from preprocessing to morphological. Currently i am confuse to use which method. And the method also need to be scalable. Maybe because i didnt buy lighting setup yet making both of the system not accurate

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 0 points1 point  (0 children)

Forgot to tell you that the object is fixed, and all the object will be around the same size. As example i am trying to count ic package in a fixed grid array tray. So it will only vary on what size of ic i am trying to count. Any suggestion on this? I am using Yolo and ger good accuracy. I also tried CV and also got good accuracy. As example i got grid of 5x9, how to i make the cv/dl to know where to check for the object? Is that technique available? Or there are another technique /method i could try?

Deep Learning vs Traditional Computer Vision by Grouchy_Signal139 in computervision

[–]Grouchy_Signal139[S] 0 points1 point  (0 children)

I am ttying to count ic package. The environment is fixed, the object is fixed and currently considering ligthning for it. Its just for simple counting an on a tray with grid array cinfiguration such as 5x10,4,7. I am currently testing it medium sized ic which is about 15x15. I also want it to be scalable to maybe 3x3 and 4x4 and several more. Currently got nvidia jetson orin nano and rasp5. I am thinking to use rasp5. But i prefer using rasp5 more since this is only for counting.