Greate channel everything you can find about related to Datascience. definitely I will recommend this channel to my friends who want to learn Data Science. Great job sir🙏
Hello krish.. Really very nice video.. In addition to this Can you make one video on handwritten signatures recognition using siamese network from scratch .. Thanking you in anticipation
detection of any sort of thing from neural network in live video feed #resnet50 #face mask detection #counting no of people #distance between persons in a room Plzz make a video on this project
if you get error like this TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType' this is due to full path is properly added eg: add from 'C:/Users/Madhu Devara/Downloads/opencv/faces' to 'C:/Users/Madhu Devara/Downloads/opencv/faces/' see i added "/" at last
Hello, excellent explanation. But I have a question it is possible to do facial recognition with masked faces? We can use eyes detection or another method?
i need help regarding this I have made face recognition attendance management...but it is not 💯 present accurate.....it is also mixing data ...help me please 😭 working correctly butt after using again and again it keeps mixing data help me please
I have one doubt that....face recognition is considered to be one shot learning problem.......so shouldn't have you collected at-max 2-3 images of a person....rather than 200-300 images of a person..
Hello Sir. Thanks for this amazing tutorial. I ran the training phase of the model on Google colab and I am getting accuracy of 100 % on the training data during the 4th epoch. How do I tune the parameters so that the data does not overfit to the model ? I am running the model for 5 epochs
Sir , After i run the coding , i get error like "Unable to open file (unable to open file: name = 'facefeatures_new_model_final.h5". how to resolve this ? please
@@Vinay-jg7yb I have used the python OS library for creating directories. Get a name from the user and create a directory with its name and then give the path where you want to store it.
I tried this but it saves only one picture in Images folder and It gives message "Face not found" in Jupyter as output. I have followed your instruction step to step, I don't understand what am i doing wrong?
I'm using the same code, however, it's taking ages to capture images. I am getting a lot of "Face not found". Is there a specific reason (using laptop cam)? Sometimes it takes a minute to capture 100 pics as face_extractor return value is blank/none. Thanks
@@EfeUNLU98 yes, all you need to do is to tweak the face_classifier parameters. Try faces = face_classifier.detectMultiScale(frame, 1.1, 4) should work cheers
Thank you sir, please continue this series.
Greate channel everything you can find about related to Datascience. definitely I will recommend this channel to my friends who want to learn Data Science. Great job sir🙏
Hello krish.. Really very nice video.. In addition to this Can you make one video on handwritten signatures recognition using siamese network from scratch ..
Thanking you in anticipation
Please can you suggest some articles relating to this project
You are doing amazin Job...
Sir please make vedio on data mining algorithms like aprior ect......
detection of any sort of thing from neural network in live video feed #resnet50 #face mask detection #counting no of people #distance between persons in a room
Plzz make a video on this project
hey sir what is the reason for increase the training loss and validation loss
If I add more and more people over time do i have to train model again and again
if you get error like this TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
this is due to full path is properly added eg: add from 'C:/Users/Madhu Devara/Downloads/opencv/faces' to 'C:/Users/Madhu Devara/Downloads/opencv/faces/' see i added "/" at last
I joined in ineuron for machine learning training. Is these project videos/concepts cover in that training?
Keras Resnet instead of MobileNet upload a video
Sir please tell which play list , This vedio is there. I am search deep learning play list and not able to find. Can you help me out
Thank you Sir ,
i have a question for you
how to make machine learning model for deployment ?? please answer it soon.
@Viral 10 no please tell me how to convert ml model using pickle?
why are u using the word scratch at the beginning of video?@Krish Naik
Thank you very much sir.please upload next part.waiting.
Good initiative sir .....👍👍👍
Sir, please upload the next part of the face recognition.
Hello, excellent explanation.
But I have a question it is possible to do facial recognition with masked faces? We can use eyes detection or another method?
i need help regarding this I have made face recognition attendance management...but it is not 💯 present accurate.....it is also mixing data ...help me please 😭
working correctly butt after using again and again it keeps mixing data help me please
Hello Sir can you create some tutorials on one-shot learning using siamese neural network or any other which is best suitable for face recognition.
Hi,@krish naik,is there any other mode of payment...bcoz i am not able to make payment may be bank servers are down due to lockdown..plz reply aeap...
Can we use the same code for mobilenets v2?
I have one doubt that....face recognition is considered to be one shot learning problem.......so shouldn't have you collected at-max 2-3 images of a person....rather than 200-300 images of a person..
sir..can i use this code and setup for my mini project?
Sir I have images with different background objects so I am getting errors in prediction, so is it necessary to have plain background?
sir please make a video on YOLO FACE DETECTION ,THANK YOU
Thanks a lot man this was really helpful
i did it, however, the camera is opening and shut down immediately, then I see the "Face not found" script. why?
because this code is bullshit
Sir can i just change the model to SSD mobilnet here will that work better ?
Sir, What's the system configuration for running such codes??
Hi sir can it be implimented using pytorch??? please explain
Please can someone send me the full code. Its no longer on github
can it handle spoofing ?
How many images should we need to train
Hello Sir. Thanks for this amazing tutorial. I ran the training phase of the model on Google colab and I am getting accuracy of 100 % on the training data during the 4th epoch. How do I tune the parameters so that the data does not overfit to the model ? I am running the model for 5 epochs
how did you run on google colab can you please help?
R u making use of CPU or GPU ? N if u r using GPU then please help me with ... cause m not able to use my gpu .!!
where the photos from code are saved?
the best explanation ever gj
boss need your help to build real time face tracking system for institute using python
Can we use SQL instead of folders?
After i run the coding , i get error like "Unable to open file (unable to open file: name = 'facefeatures_new_model_final.h5". how to resolve this ?
You have downloaded it and places it it particular folder ...as path you trying open that file
Sir ,
After i run the coding , i get error like "Unable to open file (unable to open file: name = 'facefeatures_new_model_final.h5". how to resolve this ? please
Same problem bro!!
@@arjyabasu1311 cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml') try this
Thank you sir
Can I implement using pi 4b
please tell me that how to insert data in test folder?
did you find out how it can be done?
@@Vinay-jg7yb I have used the python OS library for creating directories. Get a name from the user and create a directory with its name and then give the path where you want to store it.
@@UsamaChishti thanks for replying
What will be there in test folder?
I don't have high configured laptop Can I use google collaboratory for this project
hi .you can do this using colab .
Sir plzzz upload the next part fast
Plzzz🙏🙏, it’s a humble request
This code is not working
I tried this but it saves only one picture in Images folder and It gives message "Face not found" in Jupyter as output.
I have followed your instruction step to step, I don't understand what am i doing wrong?
cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml') Try this
Did u get it after trying that code??
@@bhaveshsalvi4437 I tried this but still it gives a message face not found in jupyter
salma shaik Sorry I missed that notification. Didn't try it ☹️
@@AyazurRahman I am getting 'Face not found' message continuously, please help resolve
Hello brother. How do you downloaded the photos from google images. I couldn’t download more than 100. Can you help me ??
He didn't download those images. He captured those images by running the code and camera will open and capture the screen.
Nithin Reddy Can we download random images from google images??
@@aryashah9073 you can try with your images and your friends images or else you can download any famous celebrity images
@@nithinreddy2299 He have saved his friend's images in training data.What images he has saved in test data??
good
code is running but i unable to find the images folder can someone tell me what will be the issue?
you have to create a images folder first and then run the code
face cropper is not coming
when I run it in jupiter notebook ,no window is popping up to capture my images.Can someone help?
yes it will pop up just check it one more time!
@@anilkumar-cu6we bana ulasabilir misin
@@anilkumar-cu6we benim hala 1 kere acılıyo sonra face not found
Sir, Private coaching available ????
I like the way you teach if there is not. You can teach on skype as well or on zoom. (Please consider this idea )
Thank you so much sir u r my inspiration
@@karansharma8951 He already does that. He and Shudhanshu they have a company called iNeuron where they teach remotely via online classes.
watch it without subtitles it's challenge
I'm using the same code, however, it's taking ages to capture images. I am getting a lot of "Face not found". Is there a specific reason (using laptop cam)? Sometimes it takes a minute to capture 100 pics as face_extractor return value is blank/none. Thanks
did you solve the problem
@@EfeUNLU98 yes, all you need to do is to tweak the face_classifier parameters. Try faces = face_classifier.detectMultiScale(frame, 1.1, 4) should work cheers
Bro i follow the whole series but it is not accurate at all !!!!!