Video: .MP4, 1920x1080, 30 fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 29m
Genre: eLearning | Language: English | Size: 434 MB

Create an Image Detection Application from Scratch!
In this short course we're going to create an application with Python that will detect objects inside of images. We'll use a busy downtown intersection, a cat, and a bike as examples of multiple object detection, living object detection and how things don't always turn out how you expect.
You do not need to know math or how to code to take this course!
This course is beginner friendly!
You do not need to know Python or machine learning for this course. I'll walk you through each of the steps to get setup and how to modify the code so you can perform object detection on any image.
This is just the beginning
This is the beginning of "Machine Learning" and "Artificial Intelligence". It all starts with something as simple as object detection. But don't worry! You don't need to know any math, or how to code. That's what makes this truly amazing! Literally ANYBODY can set this up on their computer and start detecting objects in images. What a time to be alive!!
Requirements:
You'll need to have Python 3.7 installed and a command line program. Python 3.7 is a free download and every computer has a command line program built into it. I'll help you with both of those inside the course.
Demonstration:
Below is an example of our output. We'll feed it a single image of a cat, and get the area of the cat the computer thinks is "all cat" and it's confidence rating (how certain the computer is that this is really a cat). We'll do this 2 more times with a busy downtown intersection and a bicycle.


Download link:
Kod:
rapidgator_net:
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