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if image resolution is very big, detect results is very bad? #183

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Dian-Yi opened this issue Feb 9, 2022 · 4 comments
Open

if image resolution is very big, detect results is very bad? #183

Dian-Yi opened this issue Feb 9, 2022 · 4 comments

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@Dian-Yi
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Dian-Yi commented Feb 9, 2022

I use detect.py to detect my test image, but the result is bad. i use resnet50
Do I need to manually set the resolution of the network input?
Test Image:
72af89ba6022a8650e4764bcbe2512014af8cbf5ec7263437757d512

Result:
test

@huashunfu
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我请问一下,您直接使用python setyup.py build_ext --inplace生成.so文件后就能import bbox_overlaps吗

@huashunfu
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一直没调起来,如果您知道的话麻烦告诉一下,谢谢了~!

@Dian-Yi
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Dian-Yi commented Mar 8, 2022

一直没调起来,如果您知道的话麻烦告诉一下,谢谢了~!

我请问一下,您直接使用python setyup.py build_ext --inplace生成.so文件后就能import bbox_overlaps吗

没有 跑python setyup.py build_ext --inplace 这个,直接搭好环境跑脚本就行了

@JavanehBahrami
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JavanehBahrami commented Dec 25, 2023

Hi
I have the same problem for face images which are close to the camera the face detection results are not good.
I run this coommand:

python3 detect.py --trained_model ./weights/Resnet50_Final.pth --network resnet50  --save_image 

what do you mean by using python setyup.py build_ext --inplace?
most of my images are faces that are close to the camera, What can I do?
my test image size (3456, 4608)
@Dian-Yi
@huashunfu
@xsacha
@benuri

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