pytorch-deform-conv-v2
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PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
I have used all the torch versions 0.4.0 0.4.1 1.0.0, but there is always an error 'no module named torch.meshgrid' , could you please help me solve the problem
First of all thank you for implementing the v2 of this paper and maintaining. ** warning - I am mainly a keras/tf user ** If I am reading this correctly...
Firstly,thanks for your work I noticed that p_0_x and p_0_y all start from 1,so the first coordinate is (1,1).But if the kernel_size isn't 1,there will be negative coordinate.Thought you use...
Why there is only one down sampling(MaxPool2d after the first layer of conv2d) in your network structure? Can you tell me the reason for designing the network like this? Why...
Thanks for your sharing code, and i'm cofused about the size of each x and offsets. If the shape of x is (b,c,h,w), kernel_size is 3, padding is 1, the...
When I hope the whole net run on the GPU2, instead of GPU0. Current code always has some tensors running on GPU0, and lead a sum operation p = p_0...
does the kernel_size only equal 3? i set kernel_size=5 ,the result of conv is the same with kernel_size=3,why?
Actually, I do not understand what the function of modulation. Could you explain it? Thanks so much.
up up，想了很久不知道怎么解决，全部的问题如下： Traceback (most recent call last): File "D:/Users/wwj/project/tph-yolov5-main/train.py", line 637, in main(opt) File "D:/Users/wwj/project/tph-yolov5-main/train.py", line 534, in main train(opt.hyp, opt, device, callbacks) File "D:/Users/wwj/project/tph-yolov5-main/train.py", line 355, in train callbacks.run('on_train_batch_end',...
