You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository was archived by the owner on Jun 15, 2022. It is now read-only.
I save the resized image by addingcv2.imgwrite('myname',img)after img, info_img = preprocess(img, imgsize, jitter=0) # info = (h, w, nh, nw, dx, dy) in:
I did not put FPS performance results on README because the frame rate performance largely depends on :
Hardware (GPU, CPU)
Cuda and CuDNN versions
PyTorch and other package versions
preprocess and postprocess
The papers usually don't disclose all the conditions on which their benchmark was done.
But as long as I see your code, preprocessing to re-size your large image and imwrite (if you do that every frame) should be slow. I recommend you to perform only the forward process on GPU and measure the inference speed firstly.
Thanks a lot!
If I feed 1600x1200 imgs to pytorch_GaussianYOLOv3 , I get 10 fps (the time includes preprossing)
Then I re-size 1600x1200 imgs to 416x416 and imwrite. The original code after imwrite is commented:
img = np.transpose(img / 255., (2, 0, 1))
img = torch.from_numpy(img).float().unsqueeze(0)
if gpu >= 0:
# Send model to GPU
img = Variable(img.type(torch.cuda.FloatTensor))
else:
img = Variable(img.type(torch.FloatTensor))
If I feed 416x416 imgs to pytorch_GaussianYOLOv3, I get 21 fps.
Which of these two types of FPS is usually mentioned on the papers?
Is darknet much faster than pytorch implementation?
While fps is 42 on the paper of gaussian yolov3(uses darknet), I get 10fps with pytorch_GaussianYOLOv3 https://github.com/motokimura/PyTorch_Gaussian_YOLOv3
(forked from this repo) using Tesla M60, image size=1600x1200.
Testing on the 416x416 imgs, fps=21.
I save the resized image by adding
cv2.imgwrite('myname',img)
afterimg, info_img = preprocess(img, imgsize, jitter=0) # info = (h, w, nh, nw, dx, dy)
in:The text was updated successfully, but these errors were encountered: