Devendra Swamy

Check the Anchor boxes scales in config.py and mention proper classes in demo.py ([16, 4096]) = (classes*4 bounding boxes) , final feature map is 4096.

Check the anchor scales at training and demo.py , check the classes in demo.py code On Wed 29 Apr, 2020, 13:03 lzkzls, wrote: > When I use my own data...

No check the parameters which your used in training time like anchor scales and ratios and check the same parameters at demo.py code while you running and along with that...

Plz check your no classes in testing with traning classes .. those are must be had same length On Mon 20 Jul, 2020, 15:08 wuxueliang123, wrote: > How did you...

https://www.quora.com/To-what-resolution-should-I-resize-my-images-to-use-as-training-dataset-for-deep-learning , please read this , thank you

i am also facing same problem , any solution ?

I tried with torch =0.4.1 but no use On Thu 7 May, 2020, 14:24 cs-heibao, wrote: > @devendraswamy > I have no ideas. > > — > You are receiving...

Could you try with torch==0.4.0 ? If not try with that one once. On Thu 7 May, 2020, 15:18 cs-heibao, wrote: > I've tried pytorch==1.0.0/1.4.0/1.3.1 and torchvision==0.4.2/0.2, also can >...

I tried with cuda 10.2 and pytorch 0.4, 1.0 but same error On Wed 13 May, 2020, 10:44 Curiosity, wrote: > after conda uninstall pytorch，I install pytorch: > conda install...

No , I am working on it , Actually i need sample data . Thank you