Comments (4)
ciwei123
commented on April 28, 2024
@304883563 请问您有LIVE或其他数据集可以分享下吗[email protected],非常感谢！！！
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haiqwang
commented on April 28, 2024
我需要测试的视频是yuv大小大约是433M 1366x768 大约280多帧。使用CPU机器进行评分。机器内存4核32G。 运行一段时间。提示需要52G的内存。为何需要如此之大的内存？能否解答下。或者是否有参数可以调节。
首先，不建议使用CPU来跑模型，就算是解决了内存问题，CPU的运行时间会是GPU的几十倍。现在的代码是没有任何针对CPU的优化。当然，GPU模式也有很大的优化空间
直观地来说，有几个原因导致内存开销大。我们对YUV使用sliding windows采样，而且是有overlap的方式。模型运行期间也会产生高纬度的tensor，所以内存消耗比较大。另外，这是一个全参考模型，内存消耗又会加倍。数据预加载也会同步消耗内存。
在不改代码的前提下，一个比较简单的方式是减少单个测试序列的帧数，CPU/GPU内存消耗跟帧数成线性。
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haiqwang
commented on April 28, 2024
@304883563 请问您有LIVE或其他数据集可以分享下吗[email protected],非常感谢！！！
需要你去数据集官网下载。一般这种数据集不允许redistribute。
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weweaq
commented on April 28, 2024
@haiqwang 你好，请问GPU运行情况下对显存占用有什么优化操作推荐我们去研究？我12G的显存，跑1980x1080分辨率的视频有点吃力。
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Related Issues (20)
- the performance when using some filters (USM) is not good HOT 1
- ”dis" and "ref" in dataset json file HOT 3
- 请问有小白使用DVQA的使用指南吗？ HOT 12
- Minimum hardware requirement for the evaluation of 720p/1080p video HOT 5
- RuntimeError: The size of tensor a (109) must match the size of tensor b (71) at non-singleton dimension 2 HOT 3
- The performance on LIVE-VQA dataset. HOT 6
- 有预训练好的模型吗，想看看效果
- The question of the training setting of C3DVQA HOT 10
- dataset中json里的mos值是怎么获取？
- How to output the number of FLOPs of this model?
- 请问您有csiq数据集的下载地址吗，找了好久，都没找到。可以给个网盘地址或者发送到邮箱[email protected]。非常感谢。 HOT 5
- How is the MOS label in the dataset videoset mapped? This paper only uses video in yuv format, if only mp4 format is used, is there any performance impact? HOT 2
- Could you provide the download link of video quality datasets? HOT 2
- 训练一个自己的DVQA模型，理想的样本数量是多少？ HOT 2
- a question about our eval results HOT 2
- The file（.json） about the dataset information of the LIVE and CSIQ HOT 2
- any pretrained models? HOT 1
- could you introduce some about the dataset size, training environments, training speed HOT 2
- How to use it by CPU? HOT 1
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