YOLOv4 DarkNet & YOLOv5 PyTorch Inference

In this video, we implement the inference pipelines for both AlexeyAB YOLO Darknet model and Ultralytics YOLO PyTorch model.

Concepts that have been illustrated include:

Loading the models and the configurations
Preprocessing pipelines for the models
Inference of the images
Post-processing
Non max suppression
Bounding box coordinates conversion
Showing detections on image
Visualize image

00:00 No Line of code
00:56 Importing libraries
01:26 Python Decorators
02:29 Loading YOLOv4 Darknet
03:24 Preprocessing image/Read Image
04:23 YOLOv4 Inference
04:57 Binding Detections on Image
07:51 Calling functions into Action
08:51 Running Code
09:42 Pytorch No Line of Code
10:33 Importing Utilities and Libraries
13:16 Loading Torch Model
13:34 Loading Images
13:50 Preprocess & Inference
14:14 Binding Detections on Image
14:58 Running Torch Code
15:48 Brief View of YOLO Architectures