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Video: Maharashtra State Chief Eknath Shinde's Wife Plays Drums to Welcome Him Home_我的网站
A | Eknath Shinde was welcomed with much pomp and show on his first visit to his home district of Thane since becoming Maharashtra's state chief on Thursday.,The wife of the legislator from Kopri-Pachpakhadi constituency of Thane district, adjoining state capital Mumbai, was seen playing drums outside their residence in a video that has gone viral online.,According to Indian media, Lata Shinde played a key role in her husband Eknath's rise as a politician, who had been the de-facto No.2 in Shiv Sena.,Wife of #Maharashtra CM #EknathShinde, #LataShinde, played drums to welcome him in Thane. pic.twitter.com/u1ggibf7SN— Talora Maahi (@TaloraMaahi) July 6, 2022,Eknath worked as an autorickshaw driver before starting his political innings with Shiv Sena in the 1990s. Subsequently, he was named the Thane District chief by the party in 2005 after being elected to the Maharashtra state assembly the previous year.Since 2004, the 58-year-old politician won four consecutive elections in Kopri-Pachpakhadi and served as the leader of the opposition and minister in back-to-back governments before taking charge as the state chief earlier this month.His elevation to the state's top post came after he rebelled against his own party boss Uddhav Thackeray last month, taking away a large chunk of legislators along with him, first to Gujarat state and then Assam state. Both are federally governing Bharatiya Janata Party (BJP)-led states.On Monday, Eknath won a crucial vote of confidence to prove his government's majority in the state assembly with the help of the BJP, which has 106 lawmakers in Maharashtra.Last night, he went on his maiden visit to Thane after being made state chief. When he reached the Anand Nagar area of the city, a large crowd showered him with flower petals.Shinde's show of strength in Thane appears to be a signal to his predecessor and Shiv Sena chief Uddhav Thackeray that his revolt against him has been endorsed by the state's electorate.,Want to know more? Check out our Koo & Telegram accounts!,Koo: https://www.kooapp.com/profile/sputniknews,Sputnik India: https://t.me/sputniknewsindia。 IT之家 7 月 21 日消息，科技媒体 The Decoder 昨日（7 月 20 日）发布博文，报道称谷歌 DeepMind 发布 GenCeption 模型，将预训练的视频生成器重新用于深度估计和分割等经典计算机视觉任务。 IT之家援引博文介绍，大语言模型在学习预测下一个 Token 的时候，在训练过程中往往需要吸收语法、世界知识和上下文关系等内容。 但是在计算机视觉领域，视觉模型缺少等效的训练方法，主要由专业模型主导，包括用于分割的“Segment Anything”和用于深度估计的“Depth Anything”，每个模型都使用其特定的架构。 谷歌 DeepMind 团队为此提出 GenCeption 模型方案，尝试将一个“生成视频”的 AI 模型逆向改造成一个能“理解世界”的视觉分析引擎。 GenCeption 打破了传统计算机视觉“一个任务一个专用模型”的格局，仅凭单一模型就能同时做好深度估计、图像分割、3D 姿态估计、表面法线预测和相机姿态估计等核心视觉任务。 GenCeption 基于阿里巴巴开源视频模型通义万相 Wan2.1 系列训练，与传统扩散模型需多步去噪不同，GenCeption 在一次前向传播中完成预测，从而提升视觉任务处理速度。模型通过文本提示指定任务，可输出深度图、表面法线图、分割掩码，并可处理相机运动表示。 训练数据以合成为主。论文称，数据集仅包含 7500 段视频，由 800 个数字人体模型与 200 段动作捕捉序列组合生成，再通过 Blender 在不同背景和镜头角度下渲染。 泛化方面，GenCeption 几乎只在单人合成视频上训练，但可处理真实多人视频，也可迁移到动物和类人机器人类别。论文称，部分输出细节甚至超过训练时 Blender 渲染结果，可保留猫胡须和单根发丝边缘。 性能方面，论文给出两组处理时间数据：小模型处理 81 帧视频约需 6 秒；大模型参数量为 140 亿，处理同样长度视频约需 10 秒。 参考。
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