Mengenal Firestore pada Firebase
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Welcome to NUMBER PLATE DETECTION AND OCR: A DEEP LEARNING WEB APP PROJECT from scratchImage Processing and Object Detection is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course covers modeling techniques including labeling Object Detection data (images), data preprocessing, Deep Learning Model building (InceptionResNet V2), evaluation, and production (Web App)We start this course Project Architecture that was followed to Develop this App in Python. Then I will show how to gather data and label images for object detection for Licence Plate or Number Plate using Image Annotation Tool which is open-source software developed in python GUI (pyQT).Then after we label the image we will work on data preprocessing, build and train deep learning object detection model (InceptionResnet V2) in TensorFlow 2. Once the model is trained with the best loss, we will evaluate the model. I will show you how to calculate the Intersection Over Union (IoU) The precision of the object detection model.Once we have done with the Object Detection model, then using this model we will crop the image which contains the license plate which is also called the region of interest (ROI), and pass the ROI to Optical Character Recognition API Tesseract in Python (Pytesseract). In this model, I will show you how to extract text from images. Now, we will put it all together and build a Pipeline Deep Learning model. In the final module, we will learn to create a web app project using FLASK Python. Initially, we will learn basics concepts in Flask like URL routing, r

Full Stack Flutter FlixID: Simulasi Pemesanan Tiket Bioskop
KODE PROMO (Jika Tersedia): s(dot)id(slash)kelas-online-erico---Selamat datang di kelas FlixID: Aplikasi Flutter Simulasi Pemesanan Tiket Bioskop. Kelas online ini saya sediakan bagi mereka yang memerlukan contoh penerapan dari apa yang telah saya ajarkan di YouTube ke dalam sebuah studi kasus. Untuk dapat mengikuti kelas online ini, peserta WAJIB mempelajari terlebih dahulu dan mengerti materi-materi prasyarat yang akan digunakan di dalam kelas online ini. Materi-materi tersebut dapat diperoleh secara gratis di channel YouTube saya pada playlist "Materi Prasyarat Kelas Online FlixID".Prinsip "separation of concerns"Salah satu tujuan dari kelas ini adalah menerapkan prinsip "separation of concerns" yang dapat membantu kita dalam membuat aplikasi yang mudah untuk dibuat, dikembangkan, dan juga dipelihara.Clean ArchitecturePada aplikasi FlixID ini kita akan menerapkan Clean Architecture dengan membagi aplikasi kita ke dalam beberapa layer dan komponen. Dengan demikian, diharapkan peserta dapat lebih memahami apa itu clean architecture dan bagaimana menerapkannya ke dalam sebuah studi kasus.State Management RiverpodAplikasi FlixID menggunakan salah satu state management Flutter yang populer, yaitu Riverpod. State managmenet ini akan kita gunakan untuk me-manage state aplikasi serta menjadi penyedia komponen yang digunakan di dalam aplikasi agar sistem dapat lebih mudah untuk dipelihara di masa yang akan datang.Full Stack DevelopmentAplikasi FlixID menggunakan Firebase Authentication untuk autentikasi, Cloud Firestore untuk penyimpanan data, Firebase Storage untuk penyimpanan file asset, dan TMDB untuk sumber data movie yang digunakan.Semua konsep di dalam kelas online ini d

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