Comments (6)
与 Test Set 近似就行。具体使用的搜索关键词参考 Background Matting V2 论文
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与 Test Set 近似就行。具体使用的搜索关键词参考 Background Matting V2 论文
好的 谢谢大佬,我先看看
from robustvideomatting.
与 Test Set 近似就行。具体使用的搜索关键词参考 Background Matting V2 论文
MBV2关键字:
irport interior attic bar interior
bathroom beach city
church interior classroom interior empty city
forest garage interior gym interior
house outdoor interior kitchen
lab interior landscape lecture hall
mall interior night club interior office
rainy woods rooftop stadium interior
theater interior train station warehouse interior
workplace interior
有几个疑问:
1.每个关键字爬下来的图片都很多,每个关键字场景取多少背景图呢?
2.爬下来的图片需要做额外的前处理吗?比如crop,padding等
3.背景图片需要保持高分辨率吗?
from robustvideomatting.
- 你看情况吧,我们总共用了8000张。
- 没有cropping,但我们每张图过 YOLO5 确保背景图片里没有人物。
- 要
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大佬,怎么测试单张图片
from robustvideomatting.
您好,请问一下,背景图片分辨率不高对结果会有什么影响吗?
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Related Issues (20)
- Output to image sequence possible? HOT 1
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- 为什么epoch-end最大只到28?
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- Can GRU be replaced with Conv layers? HOT 1
- 为什么我分离人脸图像背景后,人脸会变形,而且人脸的位置也变化了
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- Virtual Backgrounds Not Rendering Properly: Seeking Guidance on WebRTC Implementation HOT 1
- how to use my own background image
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