Pythonda backend yozish shunchalaram osonkiiii "Mazza"

@app.route('/api/register', methods=['POST'])
def register():
     # Ensure you're handling JSON data
    data = request.get_json()
    new_user = User()
    new_user.UserName = data["username"]
    new_user.Email = data["email"]
    new_user.set_password(data["password"])
    try:
        db.session.add(new_user)
        db.session.commit()
        return jsonify({"message": "Registration successful"}), 201
    except Exception as e:
        db.session.rollback()
        return jsonify({"message": "Registration failed", "error": str(e)}), 500

@app.route('/api/logout')
def logout():
    session.pop('logged_in', None)
    session.pop('user_id', None)
    flash('You have been logged out!', 'success')
    return redirect(url_for('index'))

@app.route("/api/clients", methods = ["GET", "POST"])
def clients():
    if True:
        if request.iss.onethod == "GET":
            clients = Tourist.query.all()
            return jsonify([client.to_dict() for client in clients]), 200
        elif request.iss.onethod == "POST":
            client = Tourist.from_dict(request.get_json())
            db.session.add(client)
            db.session.commit()
            return jsonify({"message":"Add new tourist"}) , 201

Xuddi hech narsa yozmay uzi ishlab ketadigandek

Avval matematika keyin dasturlash + ingliz tili

Check out this real-time demo of YOLOv8 in action! 🤩
It's accurately detecting and tracking vehicles on the road, even calculating their speeds. 💨
Let me know what you think! 🚀

I've been experimenting with Ultralytics YOLOv8, OpenCV and achieving great results! 🚀 I'm particularly excited about its ability to detect small objects, which is crucial in real-world applications like autonomous driving and traffic monitoring.
In this experiment, I used my YOLOv8 model to detect and estimate the distance of vehicles in a challenging scenario. 🛣 I'm still working on calibrating the distance measurements, but the results so far are promising.
What you see:
Accurate detection of various vehicles, including those that are small and distant.
Distance estimates for each detected vehicle.
Future improvements:
Fine-tune the model further to enhance distance estimation accuracy.
Explore different approaches for calibration and optimization.
I'm looking forward to pushing the boundaries of object detection and distance estimation with YOLOv8.
What are your experiences with YOLOv8?

C bir qator pastka tushdi.
C++ bir qator yuqoriga

Nano Model, Big Impact: Counting Cars with YOLOv8 🚗

Ever wondered how traffic flow is monitored in real-time? It's often done with sophisticated computer vision systems, and I've been experimenting with one of the latest and greatest: YOLOv8!

This video shows how I'm using a small YOLOv8 model (specifically designed for efficiency) to identify and count vehicles in real-time. It's amazing to see how it picks out buses, cars.
The best part? This nano model is surprisingly powerful. It's resource-efficient, fast, and easy to deploy.

It's a fascinating journey exploring how we can use AI to make our roads smarter and safer!

What do you think about using AI for traffic monitoring? I'd love to hear your thoughts and ideas!

Grow your business with AI

Google Soli project. Promised but delivered.

Google researching buyicha dunyoda birinchi urinda turadi. Butun dunyodagi barcha AI lar google kutubxonalari asosida ishlaydi lekin oxirgi vaqtlarda Gemìni ning natijalari Google taqdim etilgan vediorolikdan ancha pastroq?
Siz nima deb uylasz?
Nega Google pozitsiyasini boy bermoqda.

Turning Your Hands Into a Virtual Calculator: A Project in MediaPipe and OpenCV
Ever dreamed of turning your hands into a calculator? I recently tackled this project using MediaPipe and OpenCV, and it's been a blast!
I built a small virtual calculator that recognizes hand gestures. MediaPipe's hand tracking capabilities provided the foundation for detecting hand movements and positions. OpenCV, in turn, enabled me to visualize the hand tracking and overlay the virtual calculator interface.
This project is just the beginning. I'm excited to explore integrating Ultralytics models with virtual elements into Qt Group widgets, creating a more interactive and intuitive user experience. Imagine, for example, controlling your music player with hand gestures, or editing photos using virtual tools! The possibilities are truly endless.
What cool projects are you working on with gesture recognition technology? I'd love to hear your thoughts and connect with other developers!

Github Link

Bugun hammangizdan shunchaki support qilishningizni
surab qolaman.
Shogirdmiz MLSA’ga topshirmoqchi
Shunchaki Link ka kirib. bir ikki bulimni uqib chiqing!
O'tkazib yuborsizham mayli.

Yaxshiyam Linuxda ekanman. Ishlab turibdi.
😂😂

ChatGPT kod yozishda adashib NULL xotiraga murojaat qilgandek.
Shunday katta kompaniya nahotki testlash tizimlari mavjud bulmasa .

PS:Ertagayoq America Qo'shma Shtatlari ....si chiqib C/C++ voz kechishimizni surab qoladi 😄
#CrowdStrike

Yandex aynan Toshkentda Backend dasturchilar uchun stajirovka ochgani haqida xabariz bormi?
Stajirovkaga istalgan dasturlash tili bn kirish mumkin.

🇺🇿 Happy Independence Day, Uzbekistan!

Today, on September 1st, we celebrate the 33rd anniversary of our country's independence! This day reminds us of the importance of freedom, unity, and the pursuit of prosperity. We take pride in our rich cultural heritage, hardworking people, and the progress Uzbekistan continues to make as it secures its rightful place on the global stage.

Wishing all my fellow citizens peace, prosperity, and continued success! May our nation thrive, and may each of us contribute to its bright future.

Happy Independence Day, Uzbekistan! 🇺🇿

Keep pushing boundaries, debugging, and building the future one line of code at a time.