Trying out Tensorflow object detection API with Infrared input

  Рет қаралды 3,866

Anuj shah

Anuj shah

5 жыл бұрын

This video shows a demonstration of trying out the tensor flow object detection API with infrared input.

Пікірлер: 22
@user-qi1mf5gj4r
@user-qi1mf5gj4r 9 ай бұрын
You provide a lot of great information in this video. I read your infrared Object Detection in medium. I needed to use an IR camera to find objects. How can I make an RGB image into an IR image to feed into the IR camera? Give me a solution to this. I've been working on this project for a long time..
@wjkang619
@wjkang619 5 жыл бұрын
I am a bit confused about the system. Does this system use learned APIs with RGB images? Or did you learn something new for IR?
@anujshah645
@anujshah645 5 жыл бұрын
It's the same lesrned API , I did no training here I just tweaked the way input is fed
@jubinmathai4674
@jubinmathai4674 4 жыл бұрын
I needed to detect humans using FLIR c2 IR camera images. Do you have a video explanation for the way infrared input has to be changed for RGB algorithm to read objects? I found your paper on "Deep learning approach for human action recognition in infrared images", was this the same algorithm used for human action recognition. Thank you
@paulwolff2121
@paulwolff2121 4 жыл бұрын
He stacked the infrared image 3 times as can be read here: medium.com/@anuj_shah/object-detection-in-infrared-3f247dc3708
@joshualekan8178
@joshualekan8178 2 жыл бұрын
will this same model work for non-infrared input? I'm trying to have the model be used for both infrared and daylight images. Thanks
@anujshah645
@anujshah645 2 жыл бұрын
In principle it's should work, if not, you can fine tune a bit.
@joshualekan8178
@joshualekan8178 2 жыл бұрын
@@anujshah645 thanks
@vibekdutta6539
@vibekdutta6539 5 жыл бұрын
Sir, how to shuffle the images and their labels correspondingly
@anujshah645
@anujshah645 5 жыл бұрын
One way to do this can be as below: from sklearn.utils import shuffle #Shuffle the dataset x_shuff, y_shuff = shuffle(x,y, random_state=2) random state ensures it shuffles the same way every time, you can read about it.
@vibekdutta6539
@vibekdutta6539 5 жыл бұрын
Thanks sir, but I actually managed to get another way of doing it by model.fit(x,y, shuffle=true), thanks for showing it with the sklearn. Always appreciated your tutorials!
@sokhibtukhtaev9693
@sokhibtukhtaev9693 5 жыл бұрын
bro you have been away for many months? Hope to see your tutorials from time to time!
@anujshah645
@anujshah645 5 жыл бұрын
Ya, I am not getting sufficient time after my work to make good detailed tutorials . I want to do this year, hope I get enough motivation to push myself to make some good tutorials
@anujshah645
@anujshah645 5 жыл бұрын
Can you tell me one topic on which I should make a video this year
@sokhibtukhtaev9693
@sokhibtukhtaev9693 5 жыл бұрын
@@anujshah645 Personally, It would be great if you could proceed your tutorials on object detection with deep learning (darknet, tensorflow), and implementing some object tracking, recognition, counting using those model and weights in opencv integration. I have a feeling that opencv is getting serious about deep learning and opencv integration.
@anujshah645
@anujshah645 5 жыл бұрын
@@sokhibtukhtaev9693 I will try my best(m not sure how well the video will be) to take out some time to prepare tutorials.
@sokhibtukhtaev9693
@sokhibtukhtaev9693 5 жыл бұрын
@@anujshah645 I am sure you'll do your best! Take your time and live your life to its fullest! Cheers, brother!
@kartiktyagi898
@kartiktyagi898 5 жыл бұрын
Arey yeh emiway kabse deep learning krne lgA?
@anujshah645
@anujshah645 5 жыл бұрын
Emiway??
Train a custom object detection model using your data
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