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OpenCV for Python allows the running of computer vision algorithms in real time using the Python language. This technology allows applications to be integrated into the cloud seamlessly. It is also an appropriate tool for fast prototyping to solve computer vision problems.
This one-day OpenCV with Python Training course provides delegates with an understanding of the concepts of object tracking and object recognition. It also teaches practical skills for image transformation, including applying geometric transformations to images, detecting edges, segmenting an image and applying image filters. Other knowledge taught includes cartooning an image and seam carving.
Applying Geometric Transformations to Images
Detecting Edges and Applying Image Filters
Cartoonising an Image
Detecting and Tracking Body Parts
Image Features Extraction
Seam Carving
Detecting Shapes and Segmenting an Image
Object Tracking
Object Recognition
Augmented Reality
Machine Learning by an Artificial Neural Network
There are no prerequisites for attending this course.
Anyone interested in learning how to use OpenCV with Python can attend this course. This course is well suited for:
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Interactive support from experienced trainers
Simple to setup and easy to use on any device
Duration: 1 Days*
Support: 24/7
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Various delivery methods
Flexible delivery methods are available depending on your learning style.
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Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."
Diane Gray, Shell
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