Programmer Think

K-nearest neighbor algorithm is one of the simplest machine learning algorithms. It is mainly used to divide objects into known classes and is widely used in life. For example, if a coach wants to select a group of long-distance runners, how to select them? He may use the k-nearest neighbor algorithm. He will choose those who are tall, long leg ...

Clipping input data to the valid range for imshow with RGB data Today, there is a problem when extracting RGB channel values of color images to synthesize single channel images: Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Give the reason first: matplotlib.pyplot.imshow() fun ...

1, Multiple choice questions Details in the course. 2, Noun interpretation 1. Color space: also known as color model, color space, color model, etc., it is a storage method of images in the computer. 2. Perspective transformation: perspective transformation will convert the image into any quadrilateral. Its main feature is that all lines in ...

EfficientNet learning notes 1. Thesis ideas In some previous papers, some will improve the performance of the network by increasing the width of the network, that is, increasing the number of convolution cores (increasing the channels of the characteristic matrix), as shown in figure (b), and some will improve the performance of the network b ...

Depth residual network Innovation of deep residual network? Based on the ultra deep network structure, the Residule structure is proposedBatch Normalization is used to make our batch feature map the same dimension, It meets the distribution law with mean value of 0 and variance of 1..1X1 dimension lifting structure is added to the residual bl ...

catalog: 1. Necessary environment 2.YOLOX installation and model reasoning 3. Train your data set and test 1. Necessary environment My environment is: Windows 10 + Python 3 9+CUDA11. 1+CUDNN8. one point one There are many tutorials on the Internet. This article mainly records the use of YOLOX. (there is a small pit in the installation of ...

🔥PaddleGAN Release the latest SOTA algorithm: Video super-resolution model PP-MSVSR Baidu self-developed PP-MSVSR It is a multi-stage lightweight video hyper segmentation model, which achieves SOTA performance in the current lightweight video hyper segmentation model with a parameter of 1.45M. The figure shows the comparison of PSNR index of ...

At present, there are few visual data about PointNet + + prediction results on the Internet, which are generally direct visual data sets. Here is a code I use Matplotlib to visualize prediction. I hope it can be helpful to you. Principle: Briefly explain the principle of the code. Firstly, we use the network to give the prediction results of ...

Preliminary analysis of BMP pictures Open a color image file and save it as 32-bit, 16 bit color and 256 color, 16 color and monochrome bitmap (BMP) files respectively Calculate the storage capacity of pictures in memory The bitmap size calculation formula is; (length) × high × Bit depth) / 8/1024 KB The size of this 256 c ...

2021SC@SDUSC visual_feature_ Optical flow tracking algorithm In the last blog, we briefly analyzed img_callback is a callback function, but the functions used in it are not analyzed. Especially the optical flow tracking algorithm we have mentioned before. This blog mainly analyzes the readImage function mentioned in the previous blog. 0 ...