I read this paper VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
(https://arxiv.org/abs/1711.06396) and I don't know what BEV means in the table.
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I also asked ChatGPT, but I don't quite understand what he's saying.
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I'd appreciate it if you could let me know.
thank you
Related
I want to make a AI gym Trainer app.the purpose of this app will be to correct the poses of the person performing the exercise, he/she will perform the exercise in front of the camera and the model will then evaluate it and provide guidance for correcting it. I have one issue that i am not fully aware what the Deep Learning Field has to offer.
My questions:
Are models capable of comparing the input pose with what it has learned through the dataset and provide feedback?
Can a model show the pose for correcting the user through any visual means, like by showing the skeleton structure to user performing that particular exercise?
I have a cctv video where I want to identify a person. I tried both facial recognition and object tracking but both failed to produce high accuracy since the quality of the frame isn't great and the face disappears from the frame sometimes.
I have simplified the problem as much as I can and now thinking about training a YOLOV3 on the person and do object tracking or training on Resnet50 as a classification problem.
I have also looked into re-identification but not sure if it will work in this use case or not.
So the problem now is simplified to given an image of people and objects in hostile environment, how do you find and identify specific person?
thanks
It seems that deep learning is precisely the tool to use for identifying a specific person. And without facial recognition that seems impossible, unless the person wears the same clothes every time and that's your criteria for "specific person".
Consider using Face-API.js -- you provide several photos of the specific person and you can then detect whether they are in a particular image.
If you are still open to use video as input and not a specific frame you can look into person identification through gait.
One example of a deep learning implementation would be:
https://github.com/marian-margeta/gait-recognition
Wanted to do something like this - http://scribbler.eye.gatech.edu/paper.pdf. could someone point me to working model for this? They have mentioned building on (https://github.com/TengdaHan/Convolutional_Sketch_Inversion). However, I do not have much experience with GANs and do not know how to adapt a normal CNN to a GAN. Any help with this would be greatly appreciated too.
Also, they have mentioned using skip layers(residual layers), but I can find no indication of their connections(architecture).
From the figure given in the paper, I cannot make out where the Generator is or where the Discriminator is.
In short, I do not know how to hook up a GAN to CNN. Any help with this would be greatly appreciated.
i'm trying to build a model that classify sentences. i'm using a Reccurent neural network(RNN) model "GRUcell" and i have the following Graph. the loss function i'm using is cross entropy.
can you please explain me why the loss after been close to 0 pick to 1 after each iterations?
i can't find any interpretation of this, thank you.
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According to the information you have provided it looks like its going down at the end of a batch and again going back up at the start of the next batch. This can be due to a high learning rate with not enough decay over time.
Try to tweak the parameters and see if that helps.
Cheers
The data can be found here:
http://rredc.nrel.gov/solar/old_data/nsrdb/bluebook/data/24283.SBF
How do I figure the solar diffuse proportion and the transmissivity value from what's there?
Anyone know?
Thanks!
You might start by reading the documentation for the data format...and this may lead to some textbooks or papers that you need to know...
If these types of resources are not available, try to learn the name of the author and send them an email (or even give them call). Be polite, and be prepared to explain who you are, and why you want to do this...
Just about the only alternative, is to find an existing code (perhaps in language you can't run, but can read) and copy the approach taken therein.
Welcome to the wonderful world of scientific data archeology.