Open Lin-UH opened 3 weeks ago
Hey! You don't have to set cfg.INPUT.SAMPLING_FRAME_NUM to a high value during model training to evaluate videos with 100 frames. It might help the model's performance, but I recommend trying it on the testing videos first.
Hope it helps!
Hey! You don't have to set cfg.INPUT.SAMPLING_FRAME_NUM to a high value during model training to evaluate videos with 100 frames. It might help the model's performance, but I recommend trying it on the testing videos first.
Hope it helps!
Thank you so much for your reply!
I have another question about training speed of mask2former, I prepared my dataset annotation using json format same as your imagenet(each video contain two identical images), then train mask2former. However the training speed is super slow, I have around 50k images each is 280 2803, on 8 v100 32G gpu, IMS_PER_BATCH: 40 SAMPLING_FRAME_NUM: 3, it shows almost 100 days to train. Do you know what could cause this? and how long it costs you to train on imagenet?
Thank you
Hi author,
It seems like SAMPLING_FRAME_NUM decides the synthetic video length that fed to model. what this value shoule be during training if I want to evaluate model on 100 frames video? Do you have any suggestions? Thank you so much.