9/19/2023 0 Comments Mini os trackWe are working to fix this as soon as possible. Temporarily, parameter mapping and preset browsing via KOMPLETE KONTROL and MASCHINE are not possible on macOS 10.15 systems that never had Waves installed on them, as necessary NKS components cannot be installed at this time.MacPro models from 2012 and earlier are not supported with V12.Mac models without ‘Metal’ support are not supported with V12.Windows 10 64 bit (Pre-2004) is officially supported with software version 12.0, not 12.7.macOS 11.0.1 is officially supported with software version 12.0, not 12.7.These specs are for software version 12.7.Intel Core i5, i7, i9, (all Gen 6 and above) Mac: Supported on Apple M1 (via Rosetta 2).Workaround: Create a new Admin user account with English characters only, then install and run the plugins on the new user account. Currently, having a Windows user account name that includes non-English characters may prompt a Waveshell error message while scanning V13 plugins in your DAW.Mac models without ‘Metal’ support are not supported with V13.Windows 10 64 bit (Pre-2004) is not supported with software version 13.0.These specs are for software version 13.We are aware of this issue, which can be resolved by reinstalling V9.92 plugins or contacting Tech Support. For this reason, installing a newer version alongside V9 may cause temporary loss of access to V9 plugins on systems that support both versions.To run V9 side by side with a newer version, please install version 9.92. Software versions earlier than 9.92 cannot co-exist with software versions above V10.If you experience unusually high CPU consumption from Waves Plugins V14 and above while using a non-Intel CPU and Windows, learn how to enable MKL optimization to improve CPU performance.Windows 10 64 bit (Pre-2004) is not supported with software version 14.0.Operating systems installed on external hard drives are not tested and may not be fully functional with our software. Waves Plugins and applications are supported and tested on operating systems installed on the built-in system hard drive.RAM: Grand Rhapsody’s & Bass Finger’s minimal RAM required is 16 GB (and not 8GB, as generally described for all plugins).Specific information available on each instrument’s page. Waves Instruments: Additional disk-space may be required for sample libraries.Recommended screen resolution for Flow Motion, Bass Slapper and Bass Fingers: 1920x1080. Screen Resolution: SSL E-Channel, SSL G-Channel, Element, Codex, Dorrough, Flow Motion, Bass Slapper and Bass Fingers require minimum screen resolution 1280x1024 / 1600x1024.Waves plugins are officially supported on up to two screens in third-party DAWs and host applications.To check if a plugin exists in an older version, scroll to the bottom of the older version's download page.Multiple versions of Waves plugins (for example v13 and v14) should be able to work on the same system (as long the system supports each of those versions)-but please note that we no longer test or officially support this scenario.Current version licenses will activate older version software (V9 and above), if the product/s in question exists in this software version.If you experience unusually high CPU consumption from Waves Plugins V14 and above while using a non-Intel CPU on Windows, learn how to enable MKL optimization to improve CPU performance.Mac models without ‘Metal’ support are not supported with V14.Windows 10 64 bit (Pre-21H2) is not supported with software version 14.These specs are for software version 14.Pretrained Transformer weights enables faster convergence. The proposed early candidate elimination (ECE) module significantly reduce memory and time consumption. The tight and highly parallelized structure results in improved training and inference speed. While previous Siamese-stype trackers required separate feeding of the template and search region into the backbone at each iteration of training, OSTrack directly combines the template and search region. OSTrack-256 can be trained in ~24 hours with 4*V100 (16GB of memory per GPU), which is much faster than recent SOTA transformer-based trackers. OSTrack can serve as a strong baseline for further research. Without any additional temporal information, OSTrack achieves SOTA performance on multiple benchmarks. OSTrack is a simple, neat, high-performance one-stream tracking framework for joint feature learning and relational modeling based on self-attention operators. Highlights □ New One-stream Tracking Framework □ We are the winners of VOT-2022 STb(box GT) & RTb challenges.OSTrack is now avaliable in Modelscope, where you can run demo videos online and conveniently integrate OSTrack into your code.The official implementation for the ECCV 2022 paper Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |