Extract Features from Image using Pretrained Model | Python
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- Опубликовано: 5 окт 2024
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In this video, I have explained on how to extract features from the image using a pretrained model. This is very helpful if you want to reuse the features for training the model.
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Hi sir, I'm trying to do a project using ml. I'm a mechanical engineering final year student. And I'm not getting any resources for using ml for feature extraction from microstructures of metal. Can you clear some of my doubts?
Thanks for the video. I am currently working on EfficientNet and Topological data analysis. I have to extract features from the TDA and then from EfficientNet and then combine it and run it on SVM. Can it work there too??
Thanks again
yes, you just have to change the model and use it. Use concat function to combine the features.
Wonderful.
Please create train and test set from the extracted features and make new video.
Thank you
Thank you sir, please can I use this extracted features for image classification using a lightweight transformer?
Yeah you can use this for any model you want, it will work!!
How to extract features from a synthetic dataset that includes various inputs and outputs
Could you share what type of data, we are dealing with? text, image, table?
sir can you pls telll me how LSTM can be implemented for object tracking
Is this for tracking object in video?
How can I extract specific features from the image using this method? For example, I went to extract just the face and other thing will be ignore ? Can I see the image after the feature extraction ? I mean print pic of the image to see how it looks .
For those specific extraction, you need to try different methods... you could extract facial points using another model and extract the features like that.
@@HackersRealm Thank you for the prompt response. Can you share model names or recommend resources? My main concern is whether feature extraction can ensure privacy preservation for some of the image pictures after we extract some of these features. Is it a viable approach?
@@HackersRealm Also, can I use adversarial learning to preserve privacy in images by learning what features can be extracted?
Good Explanation, is it possible to extract important Features and use it to crop the image to see the output ?
It will be a multi step process. First you will localize the important object using some object detection model, then you can crop the images and extract features for that.
@@HackersRealm after extracting features of the particular object, how can i use these features to detect if the same object is in another image?
Like i found a person in a video and i need to find that if the same person is in another video
@@VanshikaSharma-et7du that will be object detection and recognition, and there will be a series of steps you need to do for that
can this features be used for defect detection projects
yes
How extract task specific features using this method.
what do you mean by task specific?
Can this code be used to extract finger vein images for a verification system?
Yes, we can
Hi, please tell Can I supply my extracted features of image to CNN model to classify only? I mean Can I use CNN only for classification based on my algorithm's extracted features?
You could directly use fully connected layers to do the classification as the features are already extracted
@@HackersRealm🙏. Can you suggest some code/video where I can see this kind of work
@@neeraj1rohilla i have done image caption generator in similar way, you could check that in the channel
hi thnks sir, Can optimization algorithm be applied to extracted features?
yes we can do it
apply pca