Am i the only one who is not able to find the dnn module source code !?🥲.Help me guys

what if I am using yolov5, Nvidia tx1

How can we get the file?

Thank you

i want buy code

Hello Sir, Can you guide me on code for warping the face in such a way to convert that face to its old version?

requested the .py files but did not receive email

Why is my face capture only 3fps?

Thank you it worked after 2 days trying to install that 3.3mb thing🩷

thank you..

can you please make the video to predict trajectory of multiple objects in different polygon?? i will be thankful to you

can you please make the video to predict multiple objects in different polygon?? i will be thankful to you

Great Vid! Im trying to use this with Contacam. When i try to connect to the IP given by IP webcam its askes for s username and passwords tot he camera. where can i set this within IP webcam?

what if i want to use saturation???

sergio eu te amo

Where have you defined the "display_image_samples", "load_image_dataset" and "extract_images" functions? You are just calling those functions here.

I'm starting my journey into computer vision and Ai. Would it be possible for me to train a raspberry pi to count the number of cars from a video, models made by Honda for example? Am I barking up the wrong tree? I don't know Python but know C/C++ very well and the migration will be a walk in the park. Does Pi3B+ and Camera have the power to do that or do I need much better hardware which I don't have? Thanks for any guidance.

Hi, does anybody know how to measure size of rectangular box that can be rotated? Imagine same example as in the video, but instead of bolt nuts, it is packages and they can lay in any orientation on the conveyor belt. How would you approach that?

i want the source video of bottle without detection can you provide me the link please

Thanks a lot sir, I'm currently working on the project which is about preventing students from cheating. I'm already broke the problems down into some areas: 1. Eye gazing to check if the students are looking outside. 2. Eye blinking the keep track of the abnormal behaviors. 3. Mouth opening to check if they are speaking or not. 4. Object detection to check whether there are many people on the camera and whether they use untrustworthy devices. 5. Noise detection to check whether a abnormal sound. 6. Head pose estimation to check whether they looking outside, maybe I should combine this with the eye gazing, if there's no eyes, there will be abnormal behaviors. 7. Face spoofing to check whether the face on the screen is real face or not. I don't really know which parts should I put more into the project or should I remove something, because it's quite a challenge for me to get into the intern place in the project. I'm already done with the first three and planning to finish all the stuffs. Pls let me know your opinion about the idea and other question is how many features are good for me to show my effort to the project manager? Again, thank you sir and have a nice day!

Is there a big difference in performance and speed in AI tasks like stable diffusion & video rendering etc between RTX 4080 super and RTX 4090?Which one should i buy as I seldom play games or should i wait for 5090 at the end of the year?I am not a video editor or hold any jobs related to designing or editing,just a casual home user.

where is the link for simple_facerec?????

I just tried this and it works perfectly! Thank you so much!

Very helpful. Thanks a lot.

I am looking for blister inspection in pharma industry. The feature we looking to inspect like 1. Empty blister 2. Double tablet in one cavity 3.wrong or mixed tablet 4.broken tablet 5.to identify and distinguish between same colour of capsule and its blister backgrounds.

Thank🎉 from Thailand.

can this code be used to detect rgb boxes on the conveyor?

why didn't you drop the link to download the data (DNN MODEL)?

which of the link can help me get the file you downloaded because i can't find it to download

i wanted to thank you for all the efforts you have put in all of your videos ❤❤ i really have learned a lot from your videos especially neural networks series i am a student in the faculty of computer engineering and i am currently in my bachelor thesis semester and it is about vehicle counting and classification now there are ton of models and detection algorithms can you recommend the best and easiest to work with models or algorithms out there for example there are 8 or 9 versions of yolo but i do not know what would be the most stable or best one out there thank you in advance

Amazing video, I'm waiting for new episodes. I'm working on a project to detect counterfeit products, for example airpods boxes, where we have a high level of quality in counterfeiting, making it difficult for a human to analyze without having an original box to compare. But I can see differences in the font used, the spacing between lines and the product photo has slightly less contrast than an original. I intend to do classification using YOLO, but the dataset has few images and they will all be very similar, leading me to try to use Siamese neural networks, few shot learning, to find the most similar one and classify it. My question, is there some approach I'm missing? thanks!

Bardzo edukacyjny film 😊 Piaski

hi, can not download the code file

Thanks a lot, Sergio! I didn't expect to be selected for the video to be honest, otherwise I could have given more details. But you guessed the setup exactly right. We are taking a picture from the top and then I need to analyse the picture of each product in detail (at some specific x/y coordinates) and based on that judge if it is OK or NOK. My camera currently is at a height of around 30cm from the product and we take 4K videos/pictures. The specific area within our part - that we need to analyse - is approx. 1,5cm x 1,5cm. 1. Object detection 2. Object classification Would also have been my approach. Unfortunately it is a very specific part in automotive industry and there isn't much material that can be used for training. Thanks and best regards, Dali

Great work...👏👏👏

Allah razı olsun muhterem

Best tutorial ever!!!! Thanks a lot for your time and clear explanation, cheers!!!

precise and on point, perfect video!

@Pysource , that simple facerec file , where to get please assist

Apparently your site is broken and doesn't let me download the code. Is there somewhere else it can be downloaded from?

TIMESTAMPS: 3:35 Person detection 5:25 Person tracking 8:08 Person re-identification 13:04 Hardware considerations 16:00 Key performance indicators

I would love to see this Reid in yolov8

Thank you very much. Really grateful for the video, coming at the right time for me

Hi sir thanks for your all videos, but sir i request you please upload one video on question like as detected object is having 500cm distance from ccamera and camera is having 55 degree angel with surface then how to calculate the orignal area of object (object is having irregular shape)

can't download the tracker.py file, tried to subscribed to your website but did not work

Can you deliver the same but using Azure services??? , highly application your feedback for future collaboration

please share the horizontal and vertical images, its very exciting to follow such good instructor to learn image classification 😃

Hello, I have a problem in the code when declaring. the dictionary cv2.aruco.Dictionary_get(cv2.aruco.DICT_5X5_50) This error appears and I searched but the stackoverflow solutions do not work for me I have the latest version of opencv installed AttributeError: Module 'cv2.aruco' does not have attribute 'Dictionary_get'

can we do this with 3D measurement?