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Thesis Guide RotNet performs self supervised learning by predicting image rotation This is a paper published by ICLR in 2018, which has been cited more than 1100 times. The idea of this paper comes from: if someone does not understand the concept of the object depicted in the image, he cannot recognize the rotation applied to the image. ...

1, Working environment Operating system: Win10 Development environment: Matlab 2019b (camera driver package required) Camera: USB binocular camera, supporting UVC standard protocol 1. Install the OS Generic Video Interface Plug in the camera and enter the command (webcam) in the Matlab command line window. If the following interface app ...

introduction For the author, the most important thing to learn mmdetection is to learn how to DIY your own model, so it is very important to understand how the classical model is built step by step. This chapter will start from scratch and deconstruct the construction process of the one-stage detection model (taking FCOS as an example) in ...

catalogue Tool function cv::alignPtr() cv::alignSize() cv::allocate() cv::deallocate() cv::fastAtan2() cv::cubeRoot() cv::CV_Assert() & cv::CV_DbgAsser() cv::error() cv::CV_Error() & cv::CV_Error_() cv::fastFree() cv::fastMalloc() cv::format() cv::getCPUTickCount() cv::getNumThreads() cv::getOptimalDFTSize() cv::getTh ...

1, Digital image processing 1.1 converting color image files to grayscale files gray image Gray image is an image with only one sampling color per pixel. This kind of image is usually displayed as a gray scale from the darkest black to the brightest white. In theory, this sampling can be different in the depth of any color, or even differ ...

Previous episode: Color planet image generation 2: using both traditional Gan discriminator and Markov discriminator (pytorch version) Based on the previous set of code, some detailed modifications are made to improve the generation effect. 1. Modification 1.1 preprocessing scaling The code for preprocessing training set pictures is mod ...

Tip: after the article is written, the directory can be generated automatically. Please refer to the help document on the right for how to generate it preface Tip: the project needs to identify the real-time collected pictures and identify the floating-point numbers in the pictures The idea is as follows: CV is used to process the image ...

Actual combat PP tinypose + picodet: application of new intelligent body measurement mode Introduction to PP tinypose PP tinypose is a real-time attitude detection model optimized by paddedetection for mobile devices, which can smoothly perform multi person attitude estimation tasks on mobile devices. Excellent lightweight detection model d ...

Time: 2021 / 08 / 29 / 05:45:28 It's been a night. I can't believe I'm not sleepy and have the impulse to organize my blog. Just this week, the ability to stay up late suddenly broke through in the absence of a home for several nights. After one night, there is a world of difference. I can stay up night by night. Before, I was worried about my ...

SAR Target Classification Based on full convolution network 1. MSTAR dataset expansion In the original SAR image (128) × 128) random clipping 88 × 88 slices, each slice can contain the target area, and the number of samples can reach (128-88 + 1) after random sampling × (128-88 + 1) = 1681 times, each SAR image of each c ...