My Youtube Video on this!

In this tutorial, I will be training a deep learning model for custom object detection using TensorFlow 1.x in Google Colab. Following is the roadmap for it.

• Collect the dataset of images and label them to get their XML files.
• Install the TensorFlow Object Detection API.
• Generate the TFRecord files required for training. (need generate_tfrecord.py script and CSV files for this)
• Edit the model pipeline config file and download the pre-trained model checkpoint.
• Train and evaluate…

My YouTube Video on this!

In this tutorial, we will be training a custom object detector for mask detection using YOLOv4-tiny and Darknet on our Linux(Ubuntu 18.04) system

FOLLOW THESE 10 STEPS TO TRAIN AN OBJECT DETECTOR USING YOLOv4-tiny

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

1. Create yolov4-tiny and training folders on your Desktop
2. Open a command prompt and navigate to the “yolov4-tiny” folder
3. Create and copy the darknet.exe file
4. Create & copy the files we need for training ( i.e. “obj” dataset folder…

My YouTube video on this!

In this tutorial, we will be training a custom object detector for mask detection using YOLOv4 and Darknet on our Linux(Ubuntu 18.04) system

FOLLOW THESE 10 STEPS TO TRAIN AN OBJECT DETECTOR USING YOLOv4

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

1. Create yolov4 and training folders on your Desktop
2. Open a command prompt and navigate to the “yolov4” folder
3. Create and copy the darknet.exe file
4. Create & copy the files we need for training ( i.e. “obj” dataset folder…

My YouTube video on this

In this tutorial, we will be training a custom object detector for mask detection using YOLOv4-tiny and Darknet on our Windows system

FOLLOW THESE 10 STEPS TO TRAIN AN OBJECT DETECTOR USING YOLOv4-tiny

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

1. Create yolov4-tiny and training folders on your Desktop
2. Open a command prompt and navigate to the “yolov4-tiny” folder
3. Create and copy the darknet.exe file
4. Create & copy the files we need for training ( i.e. “obj” dataset, “yolov4-tiny-custom.cfg”…

My YouTube video on this!

In this tutorial, we will be training a custom object detector for mask detection using YOLOv4 and Darknet on our Windows system

FOLLOW THESE 10 STEPS TO TRAIN AN OBJECT DETECTOR USING YOLOv4

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

1. Create yolov4 and training folders on your Desktop
2. Open a command prompt and navigate to the “yolov4” folder
3. Create and copy the darknet.exe file
4. Create & copy the files we need for training ( i.e. “obj” dataset, “yolov4-custom.cfg”…

My YouTube Videos on this!

For Windows

For Linux

CONTENTS

• SECTION (A) Installing on Windows
• SECTION (B) YOLO Usage on Windows
• SECTION (C) Installing on Linux
• SECTION (D) YOLO Usage on Linux

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

(A) Installing YOLOv4 on Windows

(Installation method: Using CMake)

STEP 1) Download Darknet

Download Darknet zip-archive with the latest commit and uncompress it: master.zip

STEP 2) Install MSVC (Microsoft Visual Studio)

…

CONTENTS

• CUDA & CUDNN FOR WINDOWS
• CUDA & CUDNN FOR LINUX

( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜)

CUDA & CUDNN FOR WINDOWS

STEP 1) Download and install CUDA Toolkit

Go to https://developer.nvidia.com/cuda-downloads to download the latest CUDA Toolkit.

You can also download previous versions from the Archive of Previous CUDA Releases under the Resources section on the same page given above.

( For this Tutorial, I…

What is YOLO?

YOLO stands for You Only Look Once. YOLO is a state-of-the-art, real-time object detection system. It was developed by Joseph Redmon. It is a real-time object recognition system that can recognize multiple objects in a single frame. YOLO has evolved into newer versions over time, viz., YOLOv2, YOLOv3, and YOLOv4.

…