to find better models (again, i don't know if this is the "proper" way): 1. mim can only download models that are associated with installed packages, so to find models from the dev-1.x branch, it must be installed git checkout dev-1.x pip3 install -e . 2. use the search command to find the best performing model with an installed config. note: there are also tiny-ram variants of models, for low end systems, which don't perform as well mim search mmaction2 --sort kinetics-700/top_1_accuracy --descending 3. for dev-1.x, the model performing best on kinetics-700 is presently swin-large-p244-w877_in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb , which is a 782MB download. for stable 1.x, the model that comes up is slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb , although i had to switch to dev-1.x to get the download to succeed, maybe the url changed. mim download mmaction2 --config \ swin-large-p244-w877_in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb --dest . 4. use new model to run demo (maybe?) python3 demo/demo.py \ swin-large-p244-w877_in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb.py \ swin-large-p244-w877_in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220930-f8d74db7.pth \ demo/demo.mp4 tools/data/kinetics/label_map_k400.txt --device=cpu # crashes for me; i don't have the ram on my old system for the large model sha256sums: 2692d16c712e24994aaa3cfb48f957a521e053ffb81c474e2c0b3e579c888650 tsn_imagenet-pretrained-r50_8xb32-1x1x8-100e_kinetics400-rgb_20220906-2692d16c.pth 690bdf66675aa117e37298de8feb44112f80cc0fecd1290b21a4cfc1433d26b4 tsn_imagenet-pretrained-r50_8xb32-1x1x8-100e_kinetics400-rgb.py adf57e1194172fe30ee1d44715aa820915f7586997e775aa975d0e7c24de4342 slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb_20220901-4098e1eb.pth c1640f2a3ae2e962a9a9f8ea2c370c4f34c37f78d96fd77a852239f5587ab619 slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb.py f8d74db74207c862162ba47b6c9296c0a1641f23621f9dd47555e8d8e56b7494 swin-large-p244-w877_in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb_20220930-f8d74db7.pth 84239680a94b874841c67bdc49739799bac0077437e1578960ddef598a8a3cb3 swin-large-p244-w877_in22k-pre_16xb8-amp-32x2x1-30e_kinetics700-rgb.py