57 skills found · Page 1 of 2
akl7777777 / ShellGPT**ShellGPT is a free chatgpt client, now Supported online search.no need for a key, no need to log in.Multi-node automatic speed measurement switch,Long text translation with no word limit, AI graphics.免费的chatgpt客户端，已支持联网搜索,无需密钥，无需登录,多节点自动测速切换,长文翻译不限字数,AI出图**
KartoffelToby / Better ThermostatThis custom component for Home Assistant will add crucial features to your climate-controlling TRV (Thermostatic Radiator Valves) to save you the work of creating automations to make it smart. It combines a room-temperature sensor, window/door sensors, weather forecasts, or an ambient temperature probe to decide when it should call for heat and automatically calibrate your TRVs to fix the imprecise measurements taken in the radiator's vicinity.
spiritLHLS / Ecsspeed自动更新测试服务器节点列表的网络基准测试脚本(Network benchmarking script that automatically updates the list of the measurement server nodes)
ProjectsWithRed / Auto Wire Stripper CutterAn automatic wire stripper and cutter, you simply choose some measurements on a screen and it will do it all for you.
DaleGia / Nano33BLESensorAn Arduino library for the Nano 33 BLE Sense that leverages Mbed OS to automatically place sensor measurements in a ring buffer that can be integrated into programs in a simple manner.
microsoft / Snippet TimekeeperAn android library to measure code execution time. No need to remove the measurement code, automatically becomes no-op in the release variants. Does not compromise with the code readability and comes with features that enhance the developer experience.
whuinsar / Automatic Landslides Identification With InSARAutomatic identification of active landslides over wide areas from multi-source InSAR measurements using Faster RCNN
mlml / AutovotTrainable algorithm for automatic measurement of voice onset time
AhmedAlratrout / ContactAngle Curvature RoughnessAutomatic measurements of contact angle, interfacial curvature and surface roughness in pore-scale images
ZinoStudio931 / Automatic Garments Size Measurement Using HRNet And Point CloudNo description available
MLSpeech / Dr.VOTDr.VOT is an a software package for automatic measurement of voice onset time (VOT).
LiveStockShapeAnalysis / Body Measurement With 3d 2d FusionAutomatic livestock body measurement based on keypoint detection with multiple depth cameras
Eyevinn / AutovmafToolkit to automatically encode multiple bitrates and perform automated VMAF measurements on all of them.
AKAGIwyf / UAV TrackingIn recent years, UAV began to appear in all aspects of production and life of human society, and has been widely used in aerial photography, monitoring, security, disaster relief and other fields. For example, UAV tracking can be used for urban security, automatic cruise to find suspects and assist in intelligent urban security management.However, the practical application of UAV in various early scenes was mostly based on human remote control or intervention, and the degree of automation was not high. The degree to which UAVs can be automated is one of the decisive factors in whether they can play a bigger role in the future. With the increasing demand of UAV automation, target tracking based on computer vision has become one of the current research hotspots. Some companies in China and abroad, such as DJI, have successfully equipped target tracking on UAVs, but these technologies only exist in papers and descriptions, and the specific implementation has not been sorted out and opened source. Therefore, we plan to try to complete this project by ourselves and open source it on Github. Traditional visual tracking has many advantages, such as strong autonomy, wide measurement range and access to a large amount of environmental information, it also has many disadvantages.It requires a powerful hardware system. In order to obtain accurate navigation information, it needs to be equipped with a high-resolution camera and a powerful processor. From image data acquisition to processing, huge data operations are involved, which undoubtedly increases the cost of UAV tracking. Moreover, the reliability of traditional visual navigation and tracking is poor, and it is difficult for UAV to work in complex lighting and obstacle scenes. Therefore, we plan to use deep learning for target tracking in this project. We can train our own model through deep learning algorithm (we have not decided what network structure to use), then move the trained model to the embedded development board for operation, fix it on the UAV, read the image through the camera and process the data, so that it can recognize the objects to be recognized and tracked. In this project, we will use NVIDIA Jetson TX2 development board, install ROS in Linux system, establish communication with pixhawk, and conduct UAV flight control through PID algorithm.
fpgdubost / Automated Estimation Of The Spinal CurvatureMachine Learning code for automatic measurement of scoliosis severity from X-ray. 3rd place at the international AASCE competition.
alitourani / Vehicle Speed MeasurementAn automatic vehicle speed measurement and speeding violation detection approach
VilhoValittu / CamillaFIRCamillaFIR: Automatic FIR filter maker & room correction generator. Converts REW measurements to convolution filters for CamillaDSP, Roon, Equalizer APO etc.
luhexiao / BM GCNA two-stage coarse-to-fine method for automatic cattle body measurement
NoiseCIEI / AFTANSeismic Surface Wave Dispersion Measurements with Automatic Frequency Time Analysis
tinegachris / Smart Water Management SystemAggregates three meters to enable remote and automatic real-time measurement of water consumption.
