Course Intermediate 11333
Course Introduction:"Self-study IT Network Linux Load Balancing Video Tutorial" mainly implements Linux load balancing by performing script operations on web, lvs and Linux under nagin.
Course Advanced 17638
Course Introduction:"Shangxuetang MySQL Video Tutorial" introduces you to the process from installing to using the MySQL database, and introduces the specific operations of each link in detail.
Course Advanced 11350
Course Introduction:"Brothers Band Front-end Example Display Video Tutorial" introduces examples of HTML5 and CSS3 technologies to everyone, so that everyone can become more proficient in using HTML5 and CSS3.
Ways to fix issue 2003 (HY000): Unable to connect to MySQL server 'db_mysql:3306' (111)
2023-09-05 11:18:47 0 1 829
Experiment with sorting after query limit
2023-09-05 14:46:42 0 1 729
CSS Grid: Create new row when child content overflows column width
2023-09-05 15:18:28 0 1 619
PHP full text search functionality using AND, OR and NOT operators
2023-09-05 15:06:32 0 1 581
Shortest way to convert all PHP types to string
2023-09-05 15:34:44 0 1 1009
Course Introduction:"Eyes follow the mouse movement effect"—— 265.com Put it in the logo of the web page and use javascript to implement it. This is a good idea! When I first started doing FLASH, I used AS1 to implement it. I got off work early today and abbreviated it at home:
2016-05-16 comment 0 1010
Course Introduction:Start by searching for the Flip effect in the Effects panel. You can see vertical flipping and horizontal flipping in the picture below. The horizontal flip can realize the left and right swap of the video. The character in the original video is on the right side of the video. Then hold down the left mouse button and drag to the video track for horizontal flip effect. At this point you can see that the video has been flipped left and right. The person in the video appears on the left. The flipped video can have objects within it masked.
2024-04-29 comment 0 699
Course Introduction:1. Open AE, [New Synthesis]. 2. Select the text tool, create a text layer, and enter a few words. 3. Convert the text layer to a 3D layer and click the 3D icon. 4. Right-click in the blank area of the layer panel and select [New]-[Camera]. 5. Set the parameters of the camera to whatever you want. After setting, click [OK]. 6. Select [Camera Tool] on the toolbar, and use the camera tool to adjust the lens effect of the material. 7. Zoom in effect: Just right-click the video preview window and move the mouse upward. 8. Of course, the right click only previews the zoom-in effect. If you want to achieve the zoom-in effect of the material, you need to add keyframes. Press the shortcut key [P] to bring up the [Position] option. The last parameter is to adjust the distance of the lens.
2024-05-09 comment 0 696
Course Introduction:Recently, at the joint station of Honggang Oil Production Plant, digital intelligence technicians were constructing the station security project. They are installing cameras and integrating video surveillance with daily supervision through the IoT cloud platform. In this way, they can detect problems in time and deal with them, achieve all-weather dynamic control, and ensure safety. As of now, the Jilin Oilfield oil and gas station Internet of Things construction project has made efficient progress, and it is expected that by the end of the year, it will be 100% completed. Target The Internet of Things construction project of Jilin Oilfield oil and gas stations is a basic project to realize the transformation and development of "two informatizations". The main goal of this project is to gradually optimize the IoT functions of the entire oilfield to achieve integrated and efficient linkage of wells, rooms, and stations, prepare for unattended stations, and accelerate the construction of intelligent stations throughout the oilfield.
2023-12-19 comment 0 1082
Course Introduction:01 Outlook Summary Currently, it is difficult to achieve an appropriate balance between detection efficiency and detection results. We have developed an enhanced YOLOv5 algorithm for target detection in high-resolution optical remote sensing images, using multi-layer feature pyramids, multi-detection head strategies and hybrid attention modules to improve the effect of the target detection network in optical remote sensing images. According to the SIMD data set, the mAP of the new algorithm is 2.2% better than YOLOv5 and 8.48% better than YOLOX, achieving a better balance between detection results and speed. 02 Background & Motivation With the rapid development of remote sensing technology, high-resolution optical remote sensing images have been used to describe many objects on the earth’s surface, including aircraft, cars, buildings, etc. Object detection in the interpretation of remote sensing images
2024-06-06 comment 0 968