The biggest strength of this man is that he makes us feel all of this is very simple when it really isn't. There's simply no way to thank this guy. Respect 💯💯💯
Krish Sir this is a really amazing Flask Series work lot of things are learned from all the above Flask video playlists..Super...sir very very thank you for the wonderful Flask teaching.
But the range of detection is only about 1meter from the camera. How can we increase the range which can detect the image at far distance like 4-5 meters?..
Make a video on how to integrate with audio data. Also I was wondering if we can do animal face detection using the same code? For example, dog vs cat vs human, etc.?
Love this video series. Would love to see one showing how I could deploy an ML model I have trained on Jupyter Lab in Flask. Also how to have a file upload button in the app with which the file could then be used as input to the model. I.e. The app would allow someone to upload a video which could then be used as input to my CV ML model. Thanks!
bro can u or anyone plz tell me ,i have to print time like"bradly enters the room at 9:10"",i done it in this code but in the terminal,plz tell how to print this info in html page where video is showing below it
Namaste Krishna Naik ji I am seeing you from your first video. You are maintaining the same enthu. I have implemented your code in the existing flask website which has backend MySql. My WEb APP is lagging its not even rendering the HTML pages. Can you suggest anything for mr
Hello sir please do you have an idea about how to convert a flask web app( that use computer vision like this showed in the video) into a phone application . reply please
@@mystackquest Yes, and actually that's not it. Sending bytestring np.ndarray frames from client to backend and then back from backend to frontend in realtime is just impossible, unless you use some bidirectional communication such as socket io or webrtc.
@@krishnaik06 Socketio is also almost impossible man... I tried... The frame stucks or lags unless width and height of frame is very small (if go for that we can't see what is happening) There might be a better way to overcome these issues. As far as I know client side frame frameworks of tfjs, opencv etc. does the job.
how to use session when generating the yield when I use session it throws the error like "outside the request context" please give any solution to store the data
I don't think A beginner should try these projects because he or she maybe unable to understand what's going on in fact try to learn opencv first then do it.
The biggest strength of this man is that he makes us feel all of this is very simple when it really isn't. There's simply no way to thank this guy. Respect 💯💯💯
Krish Sir this is a really amazing Flask Series work lot of things are learned from all the above Flask video playlists..Super...sir very very thank you for the wonderful Flask teaching.
For this series, I subed.
Hoping to learn more with you guys
Greetings from Tanzania 🇹🇿
Pretty much so important project for resume☺️☺️☺️
Hi Krish,Please make one vedio how to deploy on Apache for Flask Rest API
But the range of detection is only about 1meter from the camera. How can we increase the range which can detect the image at far distance like 4-5 meters?..
use a higher mega pixel camera then crop the images
Pls make video on Face Live detection ..
Hey Krish, Can we put this project in our resume?? Or do we need to make any changes??
Hi sir, please make one video,"Fruits detection & recognition ".
Please sir make this video.
Hi Mr Krish, Guys
Is there is a way to measure the accuracy of the detected face in face_recognition library.
Can you do a video tutorial on how to stream voice (audio) data in flask?
Make a video on how to integrate with audio data. Also I was wondering if we can do animal face detection using the same code? For example, dog vs cat vs human, etc.?
Love this video series. Would love to see one showing how I could deploy an ML model I have trained on Jupyter Lab in Flask. Also how to have a file upload button in the app with which the file could then be used as input to the model. I.e. The app would allow someone to upload a video which could then be used as input to my CV ML model. Thanks!
Hi krish, thanks for this great content. Can you do any tutorial on face tracking using mtcnn and facenet in upcoming days.
Hello krish, your video is so helpful. but i want to ask something.. how to resize the output in the /video_feed ?
i can't install face recognition on win 10 getting dlib errors
conda install -c conda-forge dlib
@@chintasushma8616 hello
could you please tell this clearly because I am facing same problem
@@janvi5835 could you please tell me,how you solved the error
@@janvi5835 Hello did your issue get fixed. If yes please tell how?
sir similarly do mask detection and deploy it pls
Great sit
great teacher.............
bro can u or anyone plz tell me ,i have to print time like"bradly enters the room at 9:10"",i done it in this code but in the terminal,plz tell how to print this info in html page where video is showing below it
Krish please come up with more content on flask
Namaste Krishna Naik ji
I am seeing you from your first video. You are maintaining the same enthu.
I have implemented your code in the existing flask website which has backend MySql. My WEb APP is lagging its not even rendering the HTML pages.
Can you suggest anything for mr
how to redirect other url when face detect the face, i try to put return redirect(url_for('index')) but error context
how to redirect to another url on detecting the face
What is the algorithm behind face recognition module
Hello sir please do you have an idea about how to convert a flask web app( that use computer vision like this showed in the video) into a phone application .
reply please
this flask wouldn't work when you'll deploy it anywhere
Why?
@@analyticsworld9318 He is correct. This project depends on camera of server. You can't access camera of client using this example.
@@mystackquest Yes, and actually that's not it. Sending bytestring np.ndarray frames from client to backend and then back from backend to frontend in realtime is just impossible, unless you use some bidirectional communication such as socket io or webrtc.
We have to use socket io
@@krishnaik06 Socketio is also almost impossible man... I tried... The frame stucks or lags unless width and height of frame is very small (if go for that we can't see what is happening) There might be a better way to overcome these issues. As far as I know client side frame frameworks of tfjs, opencv etc. does the job.
This is cool, but would the same thing apply to actually deploying the model on the cloud?
It doesn't, cloud platforms won't allow you to access the hardware of the client.
Why when I run the python script for the face recognition when it detects a face the fps drops and stutters a lot.
Is there a way to just host the server and use your mobile as camera for detecting faces?
Hi Krish, what algorithm using in this face recognition?
can you create a face detection when scan then only scan human not photo
Can't able to install face recognition module
How to tackle from it
What is the IDE being used here?
Visual Studio
its visual studio code
yours is so fast and smooth how do o speed mine up is it the hardware fault?
I have the same problem, can you tell me if you solved this problem please?
hey, are there some open source models for id card and selfie image verification?
how to use session when generating the yield
when I use session it throws the error like "outside the request context"
please give any solution to store the data
what python interpreter are you using please ?
can we also use it on projects that need to verify customers like verification?
I tried to redirect after detection i did not find any solution till now do you hage any solution ?
We have to write the whole code?
cant we directly call the function recognize?
it shows list index out of range
error
This isn't working in Ubuntu. Any way to do this...
Which python version you using?
🎉🎉🎉
Algoritma yolo, sir?
But, I am just keep getting type error
my camera frames is getting stucked, and my camera is working pretty fine. Whats the error ?
Did you figure out the problem?
Sir do it even after detecting name it should tell the name of the person
sir getting error in download requirement.txt file
how to install reqirements....please clear
Same problem how to install libiriary, requirements
App name
sir,
It showing me dlib errror
conda install -c conda-forge dlib
aur batao kaisa chal raha engage ka project jo ki khud banana tha🌚
camera is not working
remove (debug = True)
I don't think A beginner should try these projects because he or she maybe unable to understand what's going on in fact try to learn opencv first then do it.
install fail face recognition
Which python version are you using???? Please tell