You can Train Mask R-CNN to detect any custom object, easily and quickly.
Why this Mini-Course:
Mask R-CNN is a great algorithm and I've been using it successfully on some personal project and some commercial projects.
Despite being a really popular algorithm, there is normally NOT an easy way to use, as it requires the installation of multiple libraries and manual configuration of python code just to make it run, not to mention training it.
After having personally spent countless hours working on it, I decided to create a custom notebook to make the process of training and usage, fast and simple for everyone.
Training Mask R-CNN
has never been so easy:
The Google Colab Notebook provided on this mini-course will allow you to train your custom Mask R-CNN detector in just a few hours.
1. Annotate the Images
2. Upload Dataset into Google Drive
3. Run Python Notebook
(on Google Colab)
4. Run Mask R-CNN (on an image)
or in real time …
1. What does happen once I buy?
Once you buy you get IMMEDIATE and FULL access to the Course (video lessons, articles, source code).
2. How long will I have access to the course?
You pay only once and You will have life-time access to the course.
3. Are there any entry requirements?
A basic knowledge of Python programming is required, so you need at least to be familiar with variables, comparison operators, and while and for loops.
4. Do I need to have a Nvidia GPU?
A computer with a Nvidia GPU is recommended, but not mandatory. With a GPU you will get a higher speed while running Mask-RCNN in real-time, while all the training steps will be done exclusively on Google Colab (so using free service and GPU offered by google).
5. Can I pay with Paypal, Credit Card or Bank Transfer?
6. Can I get an Invoice?
7. Do you offer Refund?
8. Have you got any question?
Who am I?
I'm Sergio, a Computer Vision Developer and founder of Pysource.
I help companies, freelancers and students to learn easily and efficiently how to apply visual recognition to their projects.
To get a taste of what I offer, I shared for free well over 100 videos on my youtube channel (Pysource), where my content is watched by tens of thousands of people each month.