Hello, authors.
Thanks for releasing the official code for EXTD.
I've tried to reproduce the result of evaluation time in Fig. 6 using the official codes (e.g. commented codes of demo.py and blackpink.jpg). However, I failed to get a similar result on my two workstations. The first one is NVIDIA DGX-1 (4 V100) with PyTorch 1.2, and the last one consists of i7 and 4Titan XP with PyTorch1.2. Of course, I use a single GPU, not multiple GPUs to testing an image.
Reported result for 400 resolution: about 28 FPS
My results for 400 resolution on both workstations: about 2FPS
I wonder how you measure the elapsed time like Fig. 6.
I think the number of faces in an image affects the total inference time because of the NMS as far as you know. Thus, I am not sure you really use the blackpink.jpg to get result of the Fig. 6.
Also, I am not sure the configuration parameters in ./data/config.py are utilized for it. (The speed can be slightly increased by changing the parameters, but it has not yet reached the reported performance.)
Can I just get similar results like Fig.6 using only the given codes and an image?;)
Hello, authors. Thanks for releasing the official code for EXTD.
I've tried to reproduce the result of evaluation time in Fig. 6 using the official codes (e.g. commented codes of demo.py and blackpink.jpg). However, I failed to get a similar result on my two workstations. The first one is NVIDIA DGX-1 (4 V100) with PyTorch 1.2, and the last one consists of i7 and 4Titan XP with PyTorch1.2. Of course, I use a single GPU, not multiple GPUs to testing an image.
I wonder how you measure the elapsed time like Fig. 6. I think the number of faces in an image affects the total inference time because of the NMS as far as you know. Thus, I am not sure you really use the blackpink.jpg to get result of the Fig. 6. Also, I am not sure the configuration parameters in ./data/config.py are utilized for it. (The speed can be slightly increased by changing the parameters, but it has not yet reached the reported performance.)
Can I just get similar results like Fig.6 using only the given codes and an image?;)
I am looking forward to hearing from you.
Thanks.