Vector官方帮助文档，配置使用手册。从新建DaVinci工程开始一步一步的讲解如何配置工程；如何编译生成C代码；如何导入CDD、DBC等文件。手册讲解细致，可以说是手把手教学了
2019-12-21 22:07:22
8.89MB
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DaVinci-Resolve-15-Definitive-Guide-CN《DaVinci Resolve 15之Fusion视觉特效》
BlackMagic-DaVinci-Resolve-15（官方教程Fusion视觉特效）
之后还会上传其他4部，共计5部的官方资源教材
2019-12-21 21:52:03
16.22MB
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BlackMagic-DaVinci-Resolve-15（官方教程进阶剪辑）
共计5部的官方资源教材
2019-12-21 21:52:03
21.49MB
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DaVinci-Resolve-15-Fairlight-Audio-Post《DaVinci Resolve 15 之Fairlight音频后期制作》（官方教程）
BlackMagic-DaVinci-Resolve-15（官方教程Fairlight音频后期制作）
之后还会上传其他4部，共计5部的官方资源教材
2019-12-21 21:52:03
18.71MB
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DaVinci-Resolve-15-Color-Correction《DaVinci Resolve 15 调色指南》（官方教程）
BlackMagic-DaVinci-Resolve-15（官方教程调色指南）
共计5部的官方资源教材
2019-12-21 21:52:03
14.52MB
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media-ctl工具，实现Linux视频采集通道的配置，此版本适用于DaVinci平台，在DM3730平台上测试通过。
2019-12-21 21:27:49
780KB
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OpenCV在TI 达芬奇以及OMAP平台下的移植与性能评估
In today’s advancing market, the growing
performance and decreasing price of embedded
processors are opening many doors
for developers to design highly sophisticated
solutions for different end applications.
The complexities of these systems can create
bottlenecks for developers in the form of
longer development times, more complicated
development environments and issues with
application stability and quality. Developers
can address these problems using sophisticated
software packages such as OpenCV,
but migrating this software to embedded
platforms poses its own set of challenges.
This paper will review how to mitigate some
of these issues, including C++ implementation,
memory constraints, floating-point
support and opportunities to maximize performance
using vendor-optimized libraries
and integrated accelerators or co-processors.
Finally, we will introduce a new effort by
Texas Instruments (TI) to optimize vision systems
by running OpenCV on the C6000™
digital signal processor (DSP) architecture.
Benchmarks will show the advantage of using
the DSP by comparing the performance
of a DSP+ARM® system-on-chip (SoC)
processor against an ARM-only device.
2019-12-21 20:59:55
342KB
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