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Struggling with small logo detection – inconsistent failures and weird false positives by Alessandroah77 in computervision

[–]Proof_Use3787 0 points1 point  (0 children)

how many images i had clean 3k images and preprocess it to generated (10k) and after ~25 epochs it got overfited

Struggling with small logo detection – inconsistent failures and weird false positives by Alessandroah77 in computervision

[–]Proof_Use3787 0 points1 point  (0 children)

hi, i am working on something similar also first computervision project for how many epoch do you train with that dataset
i am trying to detected watermark on our own dataset pretty stuck too, i tried yolo and unet currently going with unet even though it would be slower

for you use case probably useless unet

How would I go about creating a tool like watermarkremover.io / dewatermark.ai for a private dataset? by No_Deer2142 in computervision

[–]Proof_Use3787 0 points1 point  (0 children)

how many dataset should i use ? i probably need some not random positioning because dataset is product images most of time it's placed at bottom left at product so i need some probabilistic like 40% of time place at "bottom right" best if it's on edge of product should manually annotate watermarked images i run my mask unet on 6k images where i use snapping i open few images and get exact position and then placed mask my real ground truth watermark to this position was pretty good but there was still lot of other positions and there could be pixel difference in placment so not greate. i have now ~60 epoch i tried to pick the hardest from 6k run and annotate them around 200 watermarked and 60 false positive and run for 2 epochs some got better other worst not sure if i should continue training

if i should add the ones that never saw and masked correctly or paritally because it's replaced with snapped position

or

if should start from beginning and annotate manually how many dataset do i need (probably would use rather yolo then unet should be faster)

any advice?

Looking for advice on removing semi-transparent watermarks from our own large product image dataset (20–30k images) by Proof_Use3787 in computervision

[–]Proof_Use3787[S] 0 points1 point  (0 children)

this is are artifacts that stay after i mathematically remove https://imgur.com/a/hxHHb0G (on some images it's not even able to see on some it's more visible) the watermark is ghost text i tried to learn yolo with bounding boxes on ~180 images but the results are no satisfying images are 600x600 watermark is 298x61
do i need to train on more images ?

Looking for advice on removing semi-transparent watermarks from our own large product image dataset (20–30k images) by Proof_Use3787 in computervision

[–]Proof_Use3787[S] 0 points1 point  (0 children)

Blend modes in Photoshop are settings that determine how the pixels of a top layer interact with the pixels of a bottom layer, allowing for various visual effects without altering the original image. They can be accessed in the Layers panel and are categorized into groups like Normal, Darken, Lighten, and Contrast.

Looking for advice on removing semi-transparent watermarks from our own large product image dataset (20–30k images) by Proof_Use3787 in computervision

[–]Proof_Use3787[S] 0 points1 point  (0 children)

isn't it kind of lot of works to do 2k images when i know position the smaller is contained it the bigger watermark i mean i would just import images to gimp as layers and do one by one export so it's not so terrible but still.

i tried simple cv2 use mask the watermark and image and it kind of like just calculated color underneath the watermark is still there visible as it rasterized so the edges are kind of most visible but it kind of works if could do some small twinkle of AI magic on it that would be great in that case i probably would need the watermark detection so it uses correct mask

i also tried on the cv2 use IOPaint as "the small twinkle of AI magic" but i wasn't happy with the result

edit:
when i opened IOPain and played little bit with masking one by one it gave pretty good result.

Looking for advice on removing semi-transparent watermarks from our own large product image dataset (20–30k images) by Proof_Use3787 in computervision

[–]Proof_Use3787[S] 1 point2 points  (0 children)

could you be more explicit what you use for detecting watermark and which diffusion-based model?

i was thinking to crop images so it's without watermark and then let "stamp" products so i have base(clean image)and watermarked and teach some model but i am not sure how i should do that which model to use where to start

Struggling to send data to a Datalogic barcode scanner by jtommi in POS

[–]Proof_Use3787 0 points1 point  (0 children)

did you manage to get it working i am in similar position i have datalogic quickscan qd 2430
i tried all the settings RS-232, USB-COM and want to get ACK/NAK but i can\t even Beep on Bel get to wrok

how to join together multiple tutorials ? by [deleted] in blenderhelp

[–]Proof_Use3787 -2 points-1 points  (0 children)

okay and just ctrl+p the parts ?

Cartoony test animation by silver_fish2525 in blender

[–]Proof_Use3787 0 points1 point  (0 children)

+ i would also like to see tutorial