Programmer Think

catalogue Day 1 9:00 - 11:00 am, bottom test T1: bouncing grasshopper Title Description Input format Output format sample input Output sample Example explanation analysis T2: Captain Flint's drifting Title Description Input format Output format Sample sample input Resolution: T3. Tennis match Title Description Input format ...

Hello, everyone, this is OAK China. I'm assistant Jun. The content shared in this issue comes from a column written by the CEO of OpenCV, which was first published in oakchina Official website. This is the first article in the OAK intelligent depth camera programming column. Both OAK-D and OAK-D-Lite are 3D Artificial Intelligence cameras. ...

Deep learning and pytorch Foundation Machine learning is a means to realize artificial intelligence. Its purpose is to enable programs to use past experience to learn independently and optimize answers Deep learning is a specific method to realize machine learning Model classification of machine learning A specific problem can be ...

Content overview The main content of this course is to synthesize the previous content, so as to realize a neural network. In the homework part, the first homework is helper function. After the first one is completed, the second one will push the boat with the current. Pay attention to the selection of parameters. Relevant exercises can b ...

catalogue 1, Implementation of client 1. Create client C + + files 2. Programming 2.1 include header file 2.2 initializing ROS nodes 2.3 create node handle 2.4 creating customer objects 2.5 initiator of creating request and processing response: submit request and process response 3. Disposition 4. Compilation and execution II. Optimi ...

1. Analyze the relationship between the characteristics of population data from 1996 to 2015. The population data has a total of six characteristics, namely, year-end population, male population, female population, urban population, rural population and year. Looking at the changes of various characteristics over time, we can analyze the propo ...

In the example code of HttpRunner3, the code for sending HTTP requests is written as follows:from httprunner import HttpRunner, Config, Step, RunRequest, RunTestCase class TestCaseBasic(HttpRunner): config = Config("basic test with httpbin").base_url("https://httpbin.org/") teststeps = [ Step( RunRequest("headers ...

1. Particles stay SLAM GMapping (4) SLAM processor Each particle updated by particle filter independently records a possible robot trajectory and environment map In order to improve efficiency, GMapping designs a data structure of trajectory tree The trajectory of the robot can be obtained by tracing from the leaf node to the root node ...

preface This article actually belongs to: Advanced way of Python [AIoT phase I] This paper introduces Matplotlib data visualization, and will send a separate article on advanced Matplotlib data visualization and advanced Matplotlib data visualization for readers to learn. In data analysis and machine learning, we often use a lot of visu ...

Write in front Recently, I was working on model compression. After training a network with good recognition rate, I began to try to compress the model smaller in different ways to facilitate deployment on different platforms. The large model has higher precision and can be deployed on servers with GPU. The precision of the small model is a lit ...