Programmer Think

1. Debug the program with breakpoints in pycharm to understand the logic of each line of code How to enable debug debugging: if name = = 'main': (referenced in the figure below) https://mp.weixin.qq.com/s/YNfoI-KbUg6jLaWUya-21g) The meaning of setting breakpoints: breakpoint debugging is actually that you mark a breakpoint at a certain place i ...

Deep learning - from getting started to giving up (VI) introduction to CNN and RNN 1. Introduction of CNN and RNN CNN 1. It is mainly used in image processing. CNN is a feedforward neural network through convolution calculation. It is proposed by the receptive field mechanism in biology. It has translation invariance. It uses convolution kern ...

Because my knowledge is still shallow, I can't use python deep learning to identify the numbers here, so I completely use opencv to identify the numbers, and then share and record what I saw and thought in the learning process here Problems to be solved This is a number to be recognized. I first extract the ROI of the image, and only the numbe ...

1. Introduction Mathematical morphology operations can be divided into binary morphology and gray morphology, which is extended from binary morphology.Mathematical morphology has two basic operations, corrosion and expansion, which combine to form open and closed operations. Open operation means corrosion before expansion, close operation mean ...

preface: This column mainly combines OpenCV4 to realize some basic image processing operations, classical machine learning algorithms (such as K-Means, KNN, SVM, decision tree, Bayesian classifier, etc.), and common deep learning algorithms. Series of articles, continuously updated: OpenCV4 machine learning (I): Construction and configuratio ...

1. The theoretical explanation is clear and easy to understand: Understand the basic principle of "generating countermeasure network GAN" + 10 typical algorithms + 13 applications (easyai.tech) 2. Code implementation set: GitHub - eriklindernoren/Keras-GAN: Keras implementations of Generative Adversarial Networks. 3. Here is a bri ...

A garbage sorting project takes you to play with the paddle (2) Continued above< A garbage sorting project takes you to play with the paddle (1) >: Based on PaddleClas Realize garbage classification, export the information model, use PaddleHub Serving for service deployment, and use PYQT5 to realize visualization. This paper takes waste ...

The reason is that some T.Normalize parameters are a fixed pile of 0.5, while others are the calculated mean standard deviation in accordance with the function definition 1, Function function (quick start) T.Normalize(mean, std) Input a tensor in the form of (channel,height,width), and input the corresponding mean and standard deviati ...

After reading Alex net's paper. This paper creatively uses many structures and tips in convolutional neural networks. It is highly recommended that you read this paper at the foundation level of neural networks. outline A method of color enhancement based on PCA is introduced in AlexNet. The effect is that the lightness (brightness) of t ...