xiakj
xiakj
hello, is there any proposal depth camera for our test experiments? or what type of the depth camera can satisfy to this repository? thanks very much.
`(py3) user@user-B460MAORUSELITE:~/data1t/workspace/ByteTrack$ python setup.py develop running develop running egg_info writing yolox.egg-info/PKG-INFO writing dependency_links to yolox.egg-info/dependency_links.txt writing top-level names to yolox.egg-info/top_level.txt package init file 'datasets/__init__.py' not found (or not a regular...
environment: (1) retinaface(R50) for face detection and alignment (2) arcface(r50) for face feature extraction (3) cosine similarity I test LFW face pairs using arcface, the same face pairs has higher...
as title
when run train.cmd after added DepthwiseConvolution layer, one error comes"math_functions.cu:79, check failed: error==cudasuccess an illegal memory access was encountered”. How to resolve it?
([EfficientNetB0-Yolov3](https://github.com/AlexeyAB/darknet)) [enet-coco.cfg](https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/enet-coco.cfg)往ncnn上转换出错,应该是scale_channels层不支持,激活函数swish也不支持。这方面有什么建议吗?
检测框大于4个的时候,update步骤耗时严重。 具体定位到_match(detections, res)步骤里的linear_assignment::getInstance()->matching_cascade()耗时非常严重。但小于4个目标框时感觉不到耗时。 博主,这是什么原因?
请问,基于IntraFace活体检测 是怎么做到的,有相关paper吗,谢谢!
when i run test.py as your instruction, the visualized result seems not acceptable. there so many face bounding box and each bbox have a face landmark result. this phenomenon look...
I test the net2/_iter_150000.caffemode using caffe, but I can't get the correct result. The mistake may comes from anti-normalization. So, what's initial normalization method?