We must first understand what is a knowledge system:
We are in an era of knowledge explosion. We are faced with various courses, various knowledge, "self-learning", "efficient memory", "critical thinking", and "problem-solving ability". There are too many courses on various platforms, and you can buy all kinds of courses. Learning materials emerge in endlessly, and we are blindly confident that the project will be implemented after finishing the studies. We cannot get out of these courses, and we are blindly greedy for more, miscellaneous, and quick.
Then the four major software for machine vision application development, which one is better for us to build your complete, structured and concise machine vision knowledge system from 0 to 1.
Don't take the knowledge system seriously. What is more important than the knowledge system is practical practice. More important than practical practice is the rapid implementation of machine vision projects and quick money.
The four major software for machine vision application development, which one is better for us to build your machine vision knowledge system from 0 to 1, the four major software for machine vision application development mainly refer to the following commonly used software in the market Opencv, visionmaster, visionpro, Halcon.
Our machine vision knowledge system mainly reflects the following aspects
1. Optical knowledge
2. Knowledge of image preprocessing
3. A common approach to high-level languages.
Let me answer the question on the topic, which one of the four major software for machine vision application development is better for us to build your machine vision knowledge system from 0 to 1, depending on the degree of our own learning, the existing books are very in-depth, It is recommended to study in depth.
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