PyTorch-MFNet

PyTorch-MFNet copied to clipboard

When using the train_ucf101.py file for model training, the model evaluation part cannot enter the loop.

1

Traceback (most recent call last): File "train_ucf101.py", line 146, in train_model(sym_net=net, **kwargs) File "/PyTorch-MFNet/train_model.py", line 117, in train_model epoch_end=end_epoch,) File "/PyTorch-MFNet/train/model.py", line 328, in fit self.callback_kwargs['sample_elapse'] = sum_sample_elapse / sum_sample_inst...

LiYe1229

Where to start from a Beginner's point of view ?

1

Hi I am a beginner in the ML field. So far I have just created my own models in Jupyter notebooks and ran them. But using a baseline model is...

vaibhavsah

Fine-tune with pre-trained model

1

Hi！How to save the fine-tuned model as a .pth file？

Serendipity-LC

Augmentations on GPU

4

Hi, great code ! I have been noticing GPU usage is a bit low (around 40%), and trying to optimize. I've been noticing that HLSTransform is very CPU intensive. Are...

jhagege

net.load_checkpoint(epoch=args.load_epoch) fails?

2

while excecuting python evaluate_video_ucf101_split1.py File "evaluate_video_ucf101_split1.py", line 107, in net.load_checkpoint(epoch=args.load_epoch) File "../train/model.py", line 62, in load_checkpoint assert os.path.exists(load_path), "Failed to load: {} (file not exist)".format(load_path) AssertionError: Failed to load: ./../exps/_ep-0000.pth...

chowkamlee81

I am new to video classification and trying to reproduce MF-net's results。While i am stuck in download the kinetics-400 dataset, it would be a great help if anyone willing to...

FiredFree

Out of memory

1

@cypw Hello! Out of memory will occur during the training and testing of ucf-101 data. I only have a 32G CPU. Is this a normal phenomenon? How much memory is...

buaa-luzhi

Hi, Yunpeng, have you tried to insert your MF block into bigger networks, e.g. ResNet 152?

jiujing23333

Question about counting the parameter number and FLOPs

7

I counted the parameter number and FLOPs of MFNet, the parameter number is computed by the code ``` model = MFNET_3D(num_classes=101) params = sum(p.numel() for p in model.parameters()) ``` outputs...

gyguo

hello, do you have real time video recognition implementation of mfnet? thanks

moraviamoti