CNN

keyframes-CNN-RNN(action recognition)

Oct 29, 2021 1 min read

keyframes-CNN-RNN(action recognition)

Environment:

python>=3.7

pytorch>=1.2

Datasets:

Following the format of UCF101 action recognition.

Run steps:

Modify the “dict_data” of readpkl.py to your own category to generate your own label.pkl for training.
Run train.py, remember to modify the data set address.
During operation, all loss npy files will be saved for visualization, and all models will be saved under weights.
Run train.py, remember to modify the test data set address and the name of your trained model.

GitHub

CNN Action Recognition

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.

keyframes-CNN-RNN(action recognition)

keyframes-CNN-RNN(action recognition)

GitHub

John

A script to scan the network via Nmap then, based on vendor, attempt to login with default credential

Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

keyframes-CNN-RNN(action recognition)

GitHub

A script to scan the network via Nmap then, based on vendor, attempt to login with default credential

Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

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