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@dianjingtiyuxieyi · Post #5435 · 08/29/2025, 10:49 AM
CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC （BO3） 2025-08-29 18:00 局2 单局获胜： ECS 回合让分： ECS+2.5 回合大小： 大于21.5 （重心） 回合单双： 双
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Source channel @githubtrending · Post #14934 · Jul 9
#python#3d_reconstruction#3d_vision#monocular_depth_estimation#monocular_geometry_estimation MoGe-2 is a powerful tool for estimating 3D geometry from single images. It can create detailed point maps, depth maps, and normal maps with high precision. This model is especially useful because it can predict geometry in metric scale, meaning it provides accurate measurements. It also enhances visual sharpness, making it better than previous versions. Users benefit from MoGe-2 by getting precise 3D information from just one photo, which is helpful for applications like robotics or video games. It's fast and works well with different image sizes. https://github.com/microsoft/MoGe
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电竞-体育-LPL LCK俱乐部消息-中文频道推荐群
@dianjingtiyuxieyi · Post #5432 · 08/29/2025, 09:37 AM
CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC （BO3） 2025-08-29 18:00 全局获胜：ECS 地图比分：2-1 地图让分：ECS+1.5 地图大小：大于2.5 (重心） CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC （BO3） 2025-08-29 18:00 局1 单局获胜： ECS 回合让分： ECS+2.5 回合大小： 大于21.5 （重心） 回合单双： 双
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@githubtrending · Post #14851 · 06/22/2025, 11:30 AM
#python#aws#aws_cli#aws_sdk#cloud#cloud_management#cloudformation#cloudwatch#dynamodb#ec2#ecs#elasticsearch#iam#kinesis#lambda#machine_learning#rds#redshift#route53#s3#serverless AWS Lambda lets you run code without managing servers, automatically scaling to handle any number of requests and charging you only for the compute time you use. It supports many programming languages and integrates well with other AWS services, making it ideal for tasks like real-time data processing, image handling, chatbots, and automating backups. This serverless approach saves you time and money by removing infrastructure management and adapting instantly to demand spikes, so your applications stay responsive and cost-efficient even as usage changes. Lambda is great for building scalable, event-driven applications quickly and easily. https://github.com/donnemartin/awesome-aws