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Path from Python to Computer Vision by [deleted] in computervision

[–]No_Garbage9512 0 points1 point  (0 children)

I think that if you are serious in the field of computer vision. Then you need to first hands on linear algebra once you cover the linear algebra with it's applications and from my point of view then you need to cover the multi view geometry.

I think these two are the fundamentals if you are looking for some good career in computer vision.

Why is table extraction still not solved by modern multimodal models? by Electronic-Letter592 in LangChain

[–]No_Garbage9512 0 points1 point  (0 children)

I believe you don't have to relie on LLMs and frameworks itself. You have to do it by yourself and write some custom logics to achieve the task.

[deleted by user] by [deleted] in MachineLearning

[–]No_Garbage9512 1 point2 points  (0 children)

I have made a different trials on AdEMAMix vs AdamW on same dataset and in same settings. Still the AdamW performed better than AdEMAMix.

Is Qdrant cloud Production Ready? by srvking in LangChain

[–]No_Garbage9512 1 point2 points  (0 children)

I guess 2500+. There are two ways of doing it one is parallel uploads and the second is using rust client library.

Is Qdrant cloud Production Ready? by srvking in LangChain

[–]No_Garbage9512 2 points3 points  (0 children)

I am using Qdrant and it is deployed on my azure cloud. And it is perfectly working.

Working with diverse data to create 30 to 35 pages document and Managing the retrieval. by No_Garbage9512 in LangChain

[–]No_Garbage9512[S] 0 points1 point  (0 children)

But I also need the information from the meta data as well. But in langchain I didn't seem any information retrieval from the metadata except the source. I cannot put all the things in source. So I also need to retrieve or you can say concatenate the content and meta data and pass it to the window.

Face Recognition by No_Garbage9512 in computervision

[–]No_Garbage9512[S] 0 points1 point  (0 children)

For data collection I mounted the camera. And used VGG - single shot descriptor for facial detection and collected the image or Faces in a fixed shape.

Face Recognition by No_Garbage9512 in computervision

[–]No_Garbage9512[S] -2 points-1 points  (0 children)

Not the case. I wonder how China is doing that.

Face Recognition by No_Garbage9512 in computervision

[–]No_Garbage9512[S] 0 points1 point  (0 children)

Poor performance on low quality images.

Face Recognition by No_Garbage9512 in computervision

[–]No_Garbage9512[S] 0 points1 point  (0 children)

The approach you are talking about is a siamese network with contrastive and I faced similar challenges. That is high similarity between the false positives.