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* bind success * bind success fix * FDMat pybind, ResizeByShort pybind * FDMat pybind, ResizeByShort pybind, remove initialized_ * override BindProcessorManager::Run in python is available * PyProcessorManager done * vision_pybind fix * manager.py fix * add tutorials * remove Apply() bind * remove Apply() bind and fix * fix reviewed problem * fix reviewed problem * fix reviewed problem readme * fix reviewed problem readme etc * apply return outputs * nits * update readme * fix FDMatbatch * add op pybind: CenterCrop, Pad * add op overload for pass FDMatBatch --------- Co-authored-by: Wang Xinyu <shaywxy@gmail.com>
43 lines
1.3 KiB
Markdown
43 lines
1.3 KiB
Markdown
中文 | [English](README.md)
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# 多硬件图像处理库
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多硬件图像处理库（Vision Processor）可用于实现模型的预处理、后处理等图像操作，底层封装了多个第三方图像处理库，包括：
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- OpenCV，用于通用CPU图像处理
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- FlyCV，主要针对ARM CPU加速
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- CV-CUDA，用于NVIDIA GPU
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## C++
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待编写
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## Python
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Python API目前支持的算子如下：
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- ResizeByShort
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- NormalizeAndPermute
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用户可通过继承PyProcessorManager类，实现自己的图像处理模块。基类PyProcessorManager实现了GPU内存管理、CUDA stream管理等，用户仅需要实现apply()函数，在其中调用多硬件图像处理库中的算子、实现处理逻辑即可，具体实现可参考示例代码。
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### 示例代码
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- [Python示例](python)
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### CV-CUDA与OpenCV性能对比
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CPU: Intel(R) Xeon(R) Gold 6271C CPU @ 2.60GHz
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GPU: T4
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CUDA: 11.6
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Processing logic: Resize -> NormalizeAndPermute
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Warmup 100 rounds，tested 1000 rounds and get avg. latency.
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| Input Image Shape | Target shape | Batch Size | OpenCV | CV-CUDA | Gain |
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| ----------- | -- | ---------- | ------- | ------ | ------ |
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| 1920x1080 | 640x360 | 1 | 1.1572ms | 0.9067ms | 16.44% |
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| 1280x720 | 640x360 | 1 | 2.7551ms | 0.5296ms | 80.78% |
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| 360x240 | 640x360 | 1 | 3.3450ms | 0.2421ms | 92.76% |
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