what a project man! wow

can anyone provide any resources where I can get the background PNG and the modes that are being used in the projects....help will be highly appreciated:)

😮simply Outstanding

bhai kya video h ye maza aa gya bhai ek help chaiye ek project m agr possible h to please tell

Which pycharm version you are using? Because in latest 2024 version it's giving too much error

How do you access YOLO from your website?

sir for me the traffic sign is not detected finally kingly give a solution to this sir

Incredible, how about an air keyboard, where someone writes in space and the computer converts to text.... 🤝🤝🤝

What if i want use an actual ppt file instead of an images ?

where are the links

Hi, i couldn't find the images files.Pls help.

Coding ka link mil saktha ha cope karni ha

While i am tryong to install dlib its showing error tgat it is not problem woth pip but with subprocess how can i get out of this issye

I'm doing a report of this subject and have a few question to ask ,may I contect with you?

Thank you. very useful for me. It is important.

It is so cool!! when do we see the next part?

Absolutely love your videos, cannot have enough of them. I am working on my project and your tutorial is essential for me. A BIG THANK YOU

Absolute Legend!

just fucked up your this video 28:00 from ultralytics import YOLO model = YOLO('yolo8n.pt') results = model(" Images/image1.jpg ", show=True) i have installed all packages as you told and watch video 3 times but still show tjis error C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\.venv\Scripts\python.exe "C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\Chp-5- Running Yolo\Yolo- Basics.py" Traceback (most recent call last): File "C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\Chp-5- Running Yolo\Yolo- Basics.py", line 3, in <module> model = YOLO('yolo8n.pt') ^^^^^^^^^^^^^^^^^ File "C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\.venv\Lib\site-packages\ultralytics\models\yolo\model.py", line 23, in __init__ super().__init__(model=model, task=task, verbose=verbose) File "C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\.venv\Lib\site-packages\ultralytics\engine\model.py", line 151, in __init__ self._load(model, task=task) File "C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\.venv\Lib\site-packages\ultralytics\engine\model.py", line 240, in _load self.model, self.ckpt = attempt_load_one_weight(weights) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\.venv\Lib\site-packages\ultralytics n\tasks.py", line 806, in attempt_load_one_weight ckpt, weight = torch_safe_load(weight) # load ckpt ^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\.venv\Lib\site-packages\ultralytics n\tasks.py", line 732, in torch_safe_load ckpt = torch.load(file, map_location="cpu") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\.venv\Lib\site-packages\torch\serialization.py", line 997, in load with _open_file_like(f, 'rb') as opened_file: ^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\.venv\Lib\site-packages\torch\serialization.py", line 444, in _open_file_like return _open_file(name_or_buffer, mode) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Destiny\PycharmProjects\Object-Detection-Yolo\Object-Detection-Yolo\.venv\Lib\site-packages\torch\serialization.py", line 425, in __init__ super().__init__(open(name, mode)) ^^^^^^^^^^^^^^^^ FileNotFoundError: [Errno 2] No such file or directory: 'yolo8n.pt' Process finished with exit code 1

HOW TO SOLVE DLIB CAN'T INSTALL 👇👇👇👇 Install cmake version as in this video mentioned and use dlib next version . (19.24.1 version)You can change version before installing

Can i use a raspberry pi 3b+ ?

Always get errors, while installing dlib,

At first, I thought Ai would play the game, but yep still good.

Hello 👋 I missed the kickstarter campaing..really would like to learn from you

Wery good brodar☺

how can we implement this .pt model in android or can we convert it to tensorflow model Thanks

Is it possible to detect 1 hand or 2 hands and body interaction?

Hi Murtaza, It is great following your tutorials. I have a query that Jupyter Notebook is showing the error "frame not found" when i was trying to capture the image of the map. I have tried different ways to solve it. Can you please clear it out for me? Thanks I have used these codes as well: # Create a VideoCapture object cap = cv2.VideoCapture(0) # You can replace 0 with the camera ID you want to use # Check if the camera is opened successfully if not cap.isOpened(): print("Error: Could not open camera.") else: # Read and display frames from the camera while True: # Capture frame-by-frame ret, frame = cap.read() # Check if frame is captured successfully if not ret: print("Error: Frame not captured") break # Display the frame cv2.imshow("Original Image", frame) # Wait for a key press if cv2.waitKey(1) & 0xFF == ord('q'): break # Release Resources cap.release() cv2.destroyAllWindows()

hi can I asked how do I embedded this program on a cloud or web ?

Can anyone tell me that what l_version_1_300.pt was copied from?

Developing a system like the one you described involves several complex components including facial recognition, database management, and real-time processing. Here's a simplified outline of the steps you might take: Face Detection: Use computer vision techniques to detect faces in the CCTV camera feed. Libraries like OpenCV can help with this. Facial Recognition: Once a face is detected, use facial recognition algorithms to match it against a database of known criminals. Deep learning frameworks like TensorFlow or PyTorch can be used to train a facial recognition model. Database Integration: Maintain a database of known criminals along with their names and other relevant information. When a match is found during facial recognition, retrieve the corresponding information from the database. Real-time Processing: Implement the system to work in real-time, ensuring that it can process incoming video streams quickly and efficiently. Alerting System: Once a match is found, trigger an alert to notify law enforcement or relevant authorities.😍😍 my Dream project help me out I'm one of your Student in online specially on KZbin I cant wait to watch this project by doing while im watching you stayhome import cv2 import facial_recognition_library import database_library def detect_faces(frame): # Use OpenCV to detect faces in the frame # Return coordinates of detected faces def recognize_faces(frame, faces): for face in faces: # Use facial recognition library to recognize the face # Check if the recognized face matches any known criminals if facial_recognition_library.recognize(face): criminal_info = database_library.get_info(face) alert_authorities(criminal_info) def alert_authorities(criminal_info): # Send alert with criminal information to authorities # Main loop while True: # Capture frame from CCTV camera frame = capture_frame_from_camera() # Detect faces in the frame faces = detect_faces(frame) # Recognize faces and check against database recognize_faces(frame, faces)

can we use google colab to run this model

Is the course price $27K or have I missed something😢

Do you create fitness apps for trainers to use for their clients

unable to import coco names. PLease help

where is the github repo?

Hey, It is my first project of computer vision. Nicely explained. Thank you so much for making it so simple and fun!

With what browser d8d u manage to open it??vs code or other phyton