How to get LitePose-Auto-L model with a coco dataset?

[xddlj]

get the LitePose-Auto-L model coco dataset (map 62.5) is through Normal Training or Super-net Training?

To train network with search-L architecture with coco dataset, I use the following script:
python dist_train.py --cfg experiments/coco/mobilenet/mobile.yaml --superconfig mobile_configs/search-L.json

compare the provided LitePose-Auto-L coco model (map 62.5) with my model after training，the effect of my model is poor.

[jxhnx]

Have you adjusted the resolution in your config file? If not, just add it to your command:
python dist_train.py --cfg experiments/coco/mobilenet/mobile.yaml --superconfig mobile_configs/search-L.json DATASET.INPUT_SIZE 512 DATASET.OUTPUT_SIZE "[128, 256]"