Free Anti Spoofing/ Liveliness Detector for Face Recognition System Fake VS Real | Computer Vision
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- čas přidán 7. 05. 2024
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00:00 Introduction
02:49 Overview
07:08 Installations
08:20 Testing Face Detector
10:21 Testing Yolo
12:27 GPU
15:31 File Creation Test
17:54 Data Collection Overview
21:21 Bigger Bounding Box
31:50 Face Blurriness
38:29 Confidence Value
41:43 Normalization
50:35 Drawing
52:39 Saving Image
01:07:48 Save Label File
01:13:39 Recheck Label File
01:17:45 Collecting Data
01:27:51 Creating Directories
01:33:48 Get Name List
01:38:51 Shuffle Data
01:40:36 Split Data
01:50:21 Copy Files
01:55:06 Data.yaml
02:00:48 Training On Local PC
02:11:07 Training On Google Colab
02:20:56 Drawing
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Super! Thank you! I'm waiting this theme a long time. Great lesson!
awesome, this is exactly what i was looking for for my project
I had been waiting for this project for so long...it's finally there now...thanks a lot !!
yes
What a great project, thanks for making this beautiful project ❤️❤️❤️
Thank you so much sir for this beautiful and Innovative project
Love ur videos man. Thank you
great thank to you
Can you please make an intruder detection system using face recognition?
Hello i got the args.yaml file but i was not getting the best.pt file in the train weight folder, or running the train.py file. what can be the reason to it? also i was shown an error which i dont know whether was relevant or not, and that was
NotImplementedError: Could not run 'torchvision::nms' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build).
is your model overfitt..? As it always detect new person as fake. Also can you tell how much epochs do i need if i have total of 5000 real images and 5000 fake images of 30 different people
thanks sir it is so useful in fintech and because of you I got a job as ML engineer
Do you have the code
MashAllah Great Sir.
Do you have tutorial for face recognition with data training ?
this is not liveness detection, you just used object detection(yolo) to detect the phone you are holding in your hand and you called that object fake. while object(face) is real. it's smart idea that has potential, but also this way you can pass this system with any face.
can you create a proctor system?
how to convert the model that can run un mobile?
Which model use in this project?
can this project be done on raspberry pi?
sir you're best tech to us. my problem is all .py fills(train.py,splitdata.py) are run,okay but .pt file can't open it say " the file is not display in the text editor because is either binary use and unsuported text and coding " after run my main.py file its run but not detection I mean real or fake. .pt files to want to run pycharm professional version?
i have question why if i use gpu run train file error, if i use cpu run train file not error ?, its results same with cpu and gpu ?
How to join your course
thank you for teach something that is verey hard to find 😘
what is the version of yolo did you use?
Perfect, thank u so much , this helps me a lot
After training, how can I put it to work on my cell phone or tablet?
Minute 52:47 very important point. We have to save 2 things: the first one is our face 😅
Are you using PyCharm Community Edition or PyCharm Professional?
how can we implement this .pt model in android or can we convert it to tensorflow model
Thanks
Great, thank you
Can use make a cnn or deep learning course please🙏 because the courses available does not cover every thing and does not have a practical implementation so please🙏🙏
read a book
i have no money
Hello!! It is a great project and you are a good teacher, do you know maybe the reason why my camera is slow while displaying real and fake faces I'm using the best.pt file that I generated using colab
Probably you're not using GPU which is much faster than CPU
Sir any idea to suprise our teacher on teachers day using an opencv project ❤
Create a face recognition system which display Worlds best teacher when their face is detected. 😄
@@murtazasworkshop Thank You sir
sir yolo script k liye kon si website p register karna hoga
Sir would you please create a same project with JS also.
How do you access YOLO from your website?
How to access source code 😢
I downloaded your model and tried it but i am getting fake for everything. Why is that?
same issue with me as well!! All the time for webcam stream, it predicts "Fake" with high confidence :( . probably need to train model.
thank you for the video can you pls share the model with us
Shared. Link in description
you are the best @@murtazasworkshop
@@murtazasworkshop where can i get google colab notebook
Please bro can you give me the source code
Now we need an AI lie detector and is at least 90% accurate!
Yes we want
Where can I find the file for training online part? Thanks sir!
i have the same probllem please help me , from where i can find the files for online training on google colab
can i request anti spoofing/liveness FR in web apps ?
which tool is he using
thats great but what if i need to detect person name ?
Please anyone share yolo file
can you please send me the documention its my final year project
where can i get google colab notebook
i have the same probllem please help me , from where i can find the files for online training on google colab
all is fake why ?
Even after so much effort you get so few views. Is it worth it? Financially speaking.
Sometimes views are less sometimes more. Overall it works.
@@murtazasworkshop thanks for response, you have great content. Keep up the great work.
Where can I the google collab file?
same problem please tell provide me the link where i can get all files
where is the file for training in google colab
same problem please provide me the link where i can get all files
Why are you providing us all the corrupt files
lol
where collab google
which software to run this from scratch ?
as i suspected, this system cannot detect if is real or not real, it just detect if is X or Y video quality. Test with this video: czcams.com/users/shortsEYRnN_3hn4Y.
I bet any 4k image/frame fully focused can trick this system
Excuse me again, sir. Do you understand the principle of detecting authenticity? Is it really just to determine whether the image is from a mobile phone or not
Do the treasonous President Brandon.
worst explanation
Can anyone tell me that what l_version_1_300.pt was copied from?
do you know where to find google colab file please help
I downloaded your model and tried it but i am getting fake for everything. Why is that?
The YOLO model only classifies two classes which are the author's face and other person. So basically it's not anti-spoofing.
@@rayhuang4820can you plz help me to find any anti spoofing model
I successfully run this program. The fault is in the pre trained model.pt file. I trained my model on my own data. It is running successfully and not only showing result on trained data but generalizing as well. I hope it'll help you all.
@@ahmadfareedkhan3755 How can you train your own model successfully? How many picture at least for requirement? I have trained like video but it hasn''t been render the frame or anything. Please help me
@@HaiTran-bg7cr you have to follow the instructions as given in the video to collect data. The data collection file is for capturing images frame from camera. If you run that code you will get data in your folder as shown in the video
i have an error in training the dataset it showing outof memory error i have gtx 1650 gpu in my system can u plz tell the issue
Can be run with cpu ? If 1650 is not enough definitely cpu can't