Recent posts tagged computervision

Ertugrul • Oct 22 • in Articles • 8 min read
Most conversations about computer vision today revolve around deep learning, neural networks, and increasingly sophisticated AI models. But not every image processing problem requires a trained model. Sometimes, a Gaussian filter is enough to reduc...
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  • python
  • computervision
  • opensource
  • software-engineering
Devananda A • Oct 21 • in Articles • 1 min read
RIVET uses computer vision and water-quality sensors to investigate suspicious changes in waterways, verify evidence, and generate traceable environmental incident reports. Inspiration Environmental changes in waterways can go unnoticed when monit...
post-cover-31944
  • computervision
  • ai
  • tensorflow
  • productivity
Eran Feit • Oct 19 • in Articles • 1 min read
!https://coderlegion.com/?qa=blob&qablobid=2248772476490076519 For anyone studying practical computer vision and deep learning deployment: A frequent challenge in applied vision projects is balancing spatial accuracy against computational overhead d...
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  • computervision
  • objectdetection
  • pytorch
yanwang • Sep 28 • in Articles • 5 min read
Finding the four corners of a page in a phone photo is the step that turns a picture of a document into a copy of one. Everything downstream — the perspective warp, the flattening, the PDF — is easy once you know where the page is. We do that client...
  • javascript
  • webdev
  • algorithms
  • computervision
Iyanuoluwa_Oke • Aug 30 • in Articles • 6 min read
I want to tell you about the three weeks I spent making YOLO and ROS 2 talk to each other inside a simulator, and why it was nothing like the tutorials made it look. This is not a clean architecture post. This is a "here is what broke, here is what ...
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  • robotics
  • python
  • machinelearning
  • computervision
Temiloluwa Valentine • Aug 24 • in Articles • 2 min read
So, I have been asking myself this question for quite a while, Can AI actually remember what it sees? and tell a user later that "I saw X at place Y last", or for instance when a person goes to a cafe and forgets something. e.g let's say they actuall...
post-cover-25319
  • ai
  • computervision
  • python
  • machinelearning
Eran Feit • Aug 21 • in Articles • 1 min read
For anyone studying computer vision and medical image analysis, applying deep learning to dental radiography presents distinct challenges in feature extraction and anatomical localization. Dental radiographs often feature dense, overlapping structure...
post-cover-25067
  • computervision
  • yolov8
  • objectdetection
Eran Feit • Aug 15 • in Tutorials • 1 min read
For anyone studying Image Heat Maps... Understanding model interpretability in deep learning object detection presents distinct challenges compared to standard image classification. Traditional attribution methods like Grad-CAM rely heavily on backpr...
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  • ai
  • computervision
Ken W. Algerverified • Apr 30 • in Articles • 2 min read
We’ve spent years putting "Monkey JPEGs" on the blockchain. But as a system architect, I’m less interested in speculative art and more interested in the mathematical reality of physical objects. Can we bridge the gap between a raw river rock and a He...
post-cover-15679
  • web3
  • computervision
  • hedera
  • dataintegrity
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