mmaction.py

from mmaction.apis import inference_recognizer, init_recognizer

config_path = 'configs/recognition/tsn/tsn_imagenet-pretrained-r50_8xb32-1x1x8-100e_kinetics400-rgb.py'
checkpoint_path = 'https://download.openmmlab.com/mmaction/v1.0/recognition/tsn/tsn_imagenet-pretrained-r50_8xb32-1x1x8-100e_kinetics400-rgb/tsn_imagenet-pretrained-r50_8xb32-1x1x8-100e_kinetics400-rgb_20220906-2692d16c.pth' # can be a local path
img_path = 'demo/demo.mp4'   # you can specify your own picture path

# build the model from a config file and a checkpoint file
model = init_recognizer(config_path, checkpoint_path, device="cpu")  # device can be 'cuda:0'
# test a single image
result = inference_recognizer(model, img_path)