Can you make/know a tutorial on how to make an ai that can decide if an image is good or not? For example, I have two folders good/bad in these folders are good and bad images.
@@TheAIGuy I scraped a lot of Instagram images. Some of these I think are bad (These are in the bad folder). The other images I think are cool Instagram images (These are in the good folder). I have so many pictures on my phone. I want to automate the whole choosing process.
It was great I watched thousands of videos but still were facing errors but here everything is simple and understandable. Thankyou for the video and good luck !
You are an awesome trainer. Your topics are also just what I need at the moment. Do you have any tutorial on Object Detection from Webcam using custom datasets?
Can you please help in providing the code, that does object detection. The present code helps in capturing picture, but it isn't able to do object detection. Please look into it!
Great video! Easy to understand and follow along the line video! For future video, would you be able to make a video about real-time people counting using this (webcam and collab if possible too)? That would be great and amazing!
It's my huge pity for me to find you so so late. l am learning Yolov3 right now. Sending my best wishes from China. Be safe, l have shared your video to my Deep Learning Friends.
@The AI Guy, thanks for your great video and support. I tried running this offline but couldn't run Webcam part due to dependencies on Google colab libraries which are not accessible offline. In this regard, kindly guide how can we use js_eval function and others offline on CPU. Or kindly provide other Webcam integration method. Thanks again.
These videos are amazing, as is your YOLO software. I know these are kinda old and don't know if you still monitor the comments, but I wanted to ask if it's possible to train the models to tag webcam images with specific people--like me, my family members, my dogs, etc. Thanks!
very nice example mate. do you have javascript client which you have shown in the example ? working on multi camera setup web app which can send stream to backend app(TCP socket) which holds YOLO and can detect objects if that makes sense. The setup would be remote camera streamed by Yolo on server side and transformed frames will be received by web app(client side).
Hey great video! But when I tried to run this ' network, class_names, class_colors = load_network("cfg/yolov4-csp.cfg", "cfg/coco.data", "yolov4-csp.weights")' I am getting this error- NameError: name 'load_network' is not defined. I am not able to solve the error
Hi. Thanks for sharing tutorial. Currently working on project and your tutorial helped me a lot. I have a question regarding selecting the cameras that are plugged in computer. As a default it runs my very first camera. How we can choose another camera? Thank you.
Thank you so much for the notebook. I started it and it ran directly without any errors. Very very cool. I think you are using coco. When I ran your yolo4 from your last video it directly detected a "sports ball". This time it never finds a sports ball but a "traffic light". Any ideas?
You can swap back to the regular yolov4 cfg and weights file. The one used in this video is the scaled-yolov4 version which is faster and more accurate but maybe not for certain specific classes. So my suggestion would be to switch back to old weights if you found they were working better for you! Hope this helps.
Hi AI Guy! Do you have ideas on how do I need to add or make a change if I wanted to make a decision based on the detection. For example I want to display "It's Horse" on the bottom of the live camera when it detects the horse or any other object.
hey man! I don't understand English, so I didn't understand what you said in the video. I tried to run your code. I understand correctly that he uses a web camera to recognize objects first in a photograph, and then in a video online? It's all?
Hi AI guy, thanks for this video, it is very helpful. I am looking into ways to track the position of fish in an aquarium for a school project. I was wondering if there is a way to add objects to the AI?
HI, wonderful tutorials for beginners, but in this tutorial code can I increase few more testing objects, as it did not detect pen stand and batteries.
I am actually getting a few errors and while uploading the image and for real time the bounding box is not coming and the object is not detected. But my camera and all are getting integrated.
Thank man, for this awesome video. It's really helpful for machine learning community. Anyway, I have tested with your code and it work perfectly, except the video streaming part. Mine was streaming with main camera instead of front-facing camera. Do you know which part I should change?
Is there possible to do with custom dataset? I'm having trouble with the load_network() function for custom yolov4. I follow the steps and got the error: NameError: name 'load_network' is not defined
@@shwedhasrinivasan2833 I commented the lines about train, valid and backup. Just used the lines about classes and names. But check the path of your names file.
Hi, I have one request: I am working on an object detection problem where it is required to detect objects at two levels. At the first level, it has classes and at the second level, it has subclasses. For example, classes are birds or animals or flowers. And subclasses for animals are e.g., dog, cat or lion. For subclass level detection, it is required to add few extra CNN and Dense layers to the subclass level detection. In the present YOLOv4, I am not able to update the neural network layer architecture. Kindly suggest implementation. Thanks in advance.
How can i use it to train it for a custom object detector using webcam, i already have have done custom obejct detection using image by watching your video, i have weights and config file , but still not clear how to turn this into a custom object detector using webcam. If you could tell exacly what to change in this, it would be really helpful
would it be possible to use the info given by the video in a program? For example, if a person is in frame it starts recording, if a person leaves it stops.
how to detect persons from real time video source( security cameras) and focus to persons for that need to adjust camera (pan and tilt) after that zoom to the person and capture the zoomed image and store image
I created a project on object detection by yolov5 and without darknet.....but I can't add my local device webcam on it via google colab.....help me to connect my webcam in this colab
How to change the camera port for this code? I want to use the different attached camera with my PC. I just don't know how to swap between cameras in the code.
@@TheAIGuy if it is possible to do this implementation not with the camera but with a stream (e.g having a url). Well, to set this straight, I was wondering if it is so simple just like cv2 to put an address (http:.....) to capture function, in your JavaScript code?
is there any way to give a minimum number of confidence on the bounding boxes? so its bbox appears when the 'confidence' value is above a certain number
i have 400 employees they have many divaces like printer and computer and table manyhtinks they have so can i use this way to counters and save it in datset excel sheet or some thinks like that
I was trying out this code but during the webcam video part my webcam capture/output is filled with too many bounding boxes that i can’t see the image itself. Can you pls help.
camera 1 identifies two people, say Person A and Person B. Now, as these two people move from the coverage of camera 1 into the overlapping area of coverage of cam1 and cam2 and into the area where only cam2 covers, cam2 should be able to identify them as the same people A and B cam1 identified them as. i want help in that
I am using this on my custom dataset. But I am getting an error: NameError: name 'load_net_custom' is not defined Would you please help me to resolve this error?
Let me know if you have any suggestions for future videos??? As always, comment down below if you run into any issues! Hope you enjoy :)
Yolov4 on Android
Can you make/know a tutorial on how to make an ai that can decide if an image is good or not? For example, I have two folders good/bad in these folders are good and bad images.
@@dieweltentdecker5878 what qualifies as a good or bad image? Like the quality of the image? If it’s blurry then its “bad”? Let me know!
@@TheAIGuy I scraped a lot of Instagram images. Some of these I think are bad (These are in the bad folder). The other images I think are cool Instagram images (These are in the good folder). I have so many pictures on my phone. I want to automate the whole choosing process.
@@dieweltentdecker5878 Mention the factors that makes an image bad or good
please make a separate/ extended video for using custom obj detection on this same colab using webcam
I must appreciate, this channel is so underrated. This is real gem. I have tried following your tutorial that's really working
It was great I watched thousands of videos but still were facing errors but here everything is simple and understandable. Thankyou for the video and good luck !
Don't know how, but you always save me at the right time ❤️...Please make a video on implementing yolov4 in android...Love you alot ❤️
This is definitely a video I am working on. So stay tuned! Thanks for the suggestion and feedback. I appreciate it a lot!
@@TheAIGuy Can you make a video about how to run yolo as a web application using colab? Thanks for the videos.
The one and only useful video in the entire internet !!! Thank you sooooo muchhh for the entire working code !!!!
This is gonna be our new year gift
@TheAIGuy Please provide a solution for the object detection issue. It doesn't produce any errors, but it also fails to recognize the objects.
Hey man appreciate your help and all the effort that you put in these videos, thank you 😍♥️
Thanks for the kind words! Much appreciated!
in 5:50 , when i runned the code it is not identyfying the person and object? what can be the error?
Yaa, mine too.
Please reply
have you solved that ??
@@thebarstoriesbyabishek4902 Even i was facing the same issue, did you find the solution?
good job.please make a separate/ extended video for using custom obj detection on this same colab using webcam
Right time at right place. You are my hero ❤️
Appreciate it! Thanks for the kind words. Wishing you the best.
You are an awesome trainer. Your topics are also just what I need at the moment. Do you have any tutorial on Object Detection from Webcam using custom datasets?
@AIGuy please give solution for the problem in the object detection, it doesn't give error but also doesn't recognise the objects.
Please help!!
This was of great utility! Thank you.
Glad it was helpful! Thanks for the feedback, much appreciated!
Thanks Guys , works brilliantly !! Easy to customize too , really helpful
Can you please help in providing the code, that does object detection. The present code helps in capturing picture, but it isn't able to do object detection. Please look into it!
I agree I am trying so much
I am looking forward to see you come back again.
Best Regards
I thought it is impossible to do it in cloud! Thanks For the video!:)
So did I for a while! Took some research and testing but finally got it to work. Thanks for the comment :)
@@TheAIGuy :) thank you for replying
wonderfull ! it is long time i look for to know how to use webcam on collab !
Bruhhh !! U are rocking ⚡ Please continue the same and don't forget the COLAB dude ❕ ... Keep it coming ⚡
no error in the code but still not detect any object
#need support
Great video! Easy to understand and follow along the line video! For future video, would you be able to make a video about real-time people counting using this (webcam and collab if possible too)? That would be great and amazing!
Could you explain a bit more on how to upload your own model like at 4:21?
excellent tutorial ... from Semarang Indonesia
Bro ajarin
It's my huge pity for me to find you so so late. l am learning Yolov3 right now. Sending my best wishes from China. Be safe, l have shared your video to my Deep Learning Friends.
Keep this up man. Good Job!
Thanks! Much appreciated and will definitely keep them coming :)
Nice. I like your clip very much, it’s made me love coding.
Thank you for providing us this tutorial
Thanks, we are waiting for that
I wish you were my lecture you explained this concept flawlessly and I was following along with you ,eNkosi AI Guy (^◡^ )
how do we train it for our own cutsom data
@The AI Guy, thanks for your great video and support.
I tried running this offline but couldn't run Webcam part due to dependencies on Google colab libraries which are not accessible offline. In this regard, kindly guide how can we use js_eval function and others offline on CPU. Or kindly provide other Webcam integration method.
Thanks again.
I believe the code isn't able to perform object detection, it's just capturing picture! Please check it
yeah isnt working anymore
@@bayuazra357 can you please help in providing any other code for it, if possible!
name 'Javascript' is not defined error shows up whenever I try to take a webcam screenshot
This is quality content, keep up the good work :)
also is it possible to show how much fps generated in real time object detection?
yes
These videos are amazing, as is your YOLO software. I know these are kinda old and don't know if you still monitor the comments, but I wanted to ask if it's possible to train the models to tag webcam images with specific people--like me, my family members, my dogs, etc. Thanks!
Wow this is amazing i was just wishing how i can train my model on webcam and there you are giving me gift for the new year..
haha perfect timing. Hope you enjoy.
@@TheAIGuy yeah i enjoyed a lot❤ can you make a video on scaled yolov4 using colab and tfod effecientdet on local machine as well as collab.. 😊
This is exactly what I needed
Can I use YOLOv4 weights and cfg files from your old videos in this tutorial?
Yes you absolutely can! It will work with any YOLO weights and cfg file.
@@TheAIGuy ❤️
I tried. It worked perfectly!
Can you tell me how to upload other weights please
@@do0058 Just upload it to your google drive
Great tut! Thanks for sharing! Can I RTSP a security camera through this?? If so, how would I go about doing so? Thanks again.
I am on this project. Don't hesitate if you want to colaborate. I achived to get the video stream from a security camera (Tap C310) on RTSP
very nice example mate. do you have javascript client which you have shown in the example ? working on multi camera setup web app which can send stream to backend app(TCP socket) which holds YOLO and can detect objects if that makes sense. The setup would be remote camera streamed by Yolo on server side and transformed frames will be received by web app(client side).
Hi there this tutorial is very helpful for me
Can you plz tell me what changes we have to done for external camera instead of webcam.
Amazing project indeed!!
Amazing content! Is it possible to use a live video feed from a Blackmagic UltraStudio Recorder instead of your webcam?
nice job. i have hard time makeing it.Thak you for teaching me makeing this.
Hey great video!
But when I tried to run this ' network, class_names, class_colors = load_network("cfg/yolov4-csp.cfg", "cfg/coco.data", "yolov4-csp.weights")'
I am getting this error- NameError: name 'load_network' is not defined. I am not able to solve the error
same problem here
@@sharome90did you find the solution?
Thank for your sharing. I have a question. how many fps(frame per second) did you get when run on Colab using GPU? thanks.
great tutorial and content but i have questions. they tell yolo can perform 45+fps in videos but why is it so slow, like 15 fps?
Hi. Thanks for sharing tutorial. Currently working on project and your tutorial helped me a lot. I have a question regarding selecting the cameras that are plugged in computer. As a default it runs my very first camera. How we can choose another camera? Thank you.
Thank you so much for the notebook. I started it and it ran directly without any errors. Very very cool.
I think you are using coco. When I ran your yolo4 from your last video it directly detected a "sports ball". This time it never finds a sports ball but a "traffic light". Any ideas?
You can swap back to the regular yolov4 cfg and weights file. The one used in this video is the scaled-yolov4 version which is faster and more accurate but maybe not for certain specific classes. So my suggestion would be to switch back to old weights if you found they were working better for you! Hope this helps.
Yes that helped. :-) Thanks!!
Great video! Can we use this algorithm on a flying drone for object detection?
Hi AI Guy! Do you have ideas on how do I need to add or make a change if I wanted to make a decision based on the detection. For example I want to display "It's Horse" on the bottom of the live camera when it detects the horse or any other object.
Very nice :) How can you save the detected labels (only of a picture, not the video) in a dataframe? Thanks in advance!
Thank you for your hard work. Can you give a tutorial about how to calculate mAP, precision and recall?
thanks for sharing these type of videos! they're so interesting, do you know how to change the input if we have more than one webcam?
hey man! I don't understand English, so I didn't understand what you said in the video. I tried to run your code. I understand correctly that he uses a web camera to recognize objects first in a photograph, and then in a video online? It's all?
getting error @ taking permission from darknet by using python 3:16
Hi AI guy, thanks for this video, it is very helpful. I am looking into ways to track the position of fish in an aquarium for a school project. I was wondering if there is a way to add objects to the AI?
Is it possible to convert this into a web app
Will be covering Yolov4 for web app in one of my next videos! So stay tuned.
@@TheAIGuy waiting for it!
@@TheAIGuy waiting
@@TheAIGuy Perfect and you are the best, also please make it with API
you could create it easily enough with flask or fast API, sending the webcam feed as a http request or else using sockets
Is this Scaled Yolov4 or just V4? It uses Darknet and AlexyAb's repo.
Just curious.
You’re a genius
HI, wonderful tutorials for beginners, but in this tutorial code can I increase few more testing objects, as it did not detect pen stand and batteries.
Thanks for the video! Is it possible to get the json output of the bounding boxes? Thanks!
It is definitely possible! You would just have to add a little extra code to the darknet_helper function to write the detections to a json file.
@@TheAIGuy Thanks, it worked. Is it possible to do real-time object tracking using yolo v4?
Please, can i know how to do that in details?
I am actually getting a few errors and while uploading the image and for real time the bounding box is not coming and the object is not detected. But my camera and all are getting integrated.
Did you get the solution?
please tell me how to make a custom dataset using a webcam using colab
Thank man, for this awesome video. It's really helpful for machine learning community. Anyway, I have tested with your code and it work perfectly, except the video streaming part. Mine was streaming with main camera instead of front-facing camera. Do you know which part I should change?
I’m a coin collector that would like to have a process that would identify a specific year or image in the coin. How would I go about that?
Good afternoon. tell me, is it possible to make a cloudy blender render in eevee? And how in this case to connect the active monitor?
Can you do social distancing detector using yolov4?
Is there possible to do with custom dataset? I'm having trouble with the load_network() function for custom yolov4. I follow the steps and got the error: NameError: name 'load_network' is not defined
I figured out! It was the .data content. It is requested just the classes and names information.
@@andrezx10r Awesome! Glad you figured it out and thanks for sharing the solution so others can hopefully do the same.
@@andrezx10r what to change the .data content into
@@shwedhasrinivasan2833 I commented the lines about train, valid and backup. Just used the lines about classes and names. But check the path of your names file.
@@andrezx10r thnks alot
Hi,
I have one request:
I am working on an object detection problem where it is required to detect objects at two levels. At the first level, it has classes and at the second level, it has subclasses. For example, classes are birds or animals or flowers. And subclasses for animals are e.g., dog, cat or lion. For subclass level detection, it is required to add few extra CNN and Dense layers to the subclass level detection. In the present YOLOv4, I am not able to update the neural network layer architecture.
Kindly suggest implementation.
Thanks in advance.
Please give your model source code😂
a great video!!! can you please done a video in real time emotion detection using google colab
How can i use it to train it for a custom object detector using webcam, i already have have done custom obejct detection using image by watching your video, i have weights and config file , but still not clear how to turn this into a custom object detector using webcam. If you could tell exacly what to change in this, it would be really helpful
Thanks for the tutorial. How to save the video from the webcam?
Can you show us running yolov4 on multiple webcams?
how to save video file like you save the captured photo? thanks
How can you train your own Scaled Yolov4 if we're not using the pre trained weights?
would it be possible to use the info given by the video in a program? For example, if a person is in frame it starts recording, if a person leaves it stops.
How can I customize the detection function so that I can count people on the webcam and detect people only?
how to detect persons from real time video source( security cameras) and focus to persons for that need to adjust camera (pan and tilt) after that zoom to the person and capture the zoomed image and store image
how to customize or train a model implementing deepsort
I created a project on object detection by yolov5 and without darknet.....but I can't add my local device webcam on it via google colab.....help me to connect my webcam in this colab
How to change the camera port for this code? I want to use the different attached camera with my PC. I just don't know how to swap between cameras in the code.
Is the process the same when using "YOLOv5"? Something needs to enhance/modify?
Was trying to figure out how can I access webcam on colab but do the detections with video stream! Thank u!❤️
Glad i could help!
@@TheAIGuy Hi there, pls could you please let us know the answer to the question?
@@ΟδυσσεαςΑραπελλης what question are you referring to?
@@TheAIGuy if it is possible to do this implementation not with the camera but with a stream (e.g having a url). Well, to set this straight, I was wondering if it is so simple just like cv2 to put an address (http:.....) to capture function, in your JavaScript code?
@@ΟδυσσεαςΑραπελλης i have same question any one have answer of this question
really like your videos!
How do you make google colab work like that ? it is really cool
Can you pls make video on Crowd counting???
Hello, can this be used for sign language detection?
Great video, can you show how to convert the detected objects to speech(text to speech)
thank you very much
is there any way to give a minimum number of confidence on the bounding boxes? so its bbox appears when the 'confidence' value is above a certain number
is there a way to access video stream ( webcam, OBS) and apply a pre-trained model without using colab to output a close to realtime output
wondering is this trained to detect people with face mask and without facemask ?
i have 400 employees they have many divaces like printer and computer and table manyhtinks they have so can i use this way to counters and save it in datset excel sheet or some thinks like that
I was trying out this code but during the webcam video part my webcam capture/output is filled with too many bounding boxes that i can’t see the image itself. Can you pls help.
camera 1 identifies two people, say Person A and Person B. Now, as these two people move from the coverage of camera 1 into the overlapping area of coverage of cam1 and cam2 and into the area where only cam2 covers, cam2 should be able to identify them as the same people A and B cam1 identified them as. i want help in that
thank you so much !
How can I detect just video not webcam video?
I want to detect a five minute video, but I don't know how to do.
I am using this on my custom dataset. But I am getting an error: NameError: name 'load_net_custom' is not defined
Would you please help me to resolve this error?