In this video we use python and object detection packages yolov7 and yolov5 to do custom object detection for chess board pieces. We walk through: How to create a custom object detection dataset, how to train the model, metrics you need to know for object detection, and show how to run predictions on a webcam.
Check out my other videos on yolov5 and object detection: [ Ссылка ]
Timeline:
00:00 What is YOLO
01:25 Setup
02:54 YoloV5 vs YoloV7 Detection
6:22 Training on Custom Dataset
11:48 Object Detection Metrics
15:50 Detecting using Custom Model
Follow me on twitch for live coding streams: [ Ссылка ]_
My other videos:
Speed Up Your Pandas Code: [ Ссылка ]
Speed up Pandas Code: [ Ссылка ]
Intro to Pandas video: [ Ссылка ]
Exploratory Data Analysis Video: [ Ссылка ]
Working with Audio data in Python: [ Ссылка ]
Efficient Pandas Dataframes: [ Ссылка ]
* Youtube: [ Ссылка ]
* Discord: [ Ссылка ]
* Twitch: [ Ссылка ]_
* Twitter: [ Ссылка ]
* Kaggle: [ Ссылка ]
#yolov5 #yolov7 #python #machinelearning
