xiakj

Results 21 issues of 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...

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?