About the reproducibility

[xizero00]

Hi,
Thanks for sharing this great work.
I retrained the poseur_res50_coco_256x192 model and got AP=73.0
The AP result is lower than the AP=75,4 in Table 2 (a)
How can I get the result in the paper?
Thanks a lot!

[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 104128/104125, 2139.4 task/s, elapsed: 49s, ETA:     0s

Loading and preparing results...
DONE (t=5.50s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *keypoints*
DONE (t=9.69s).
Accumulating evaluation results...
DONE (t=0.32s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets= 20 ] =  0.730
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets= 20 ] =  0.889
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets= 20 ] =  0.798
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] =  0.695
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] =  0.796
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 20 ] =  0.784
 Average Recall     (AR) @[ IoU=0.50      | area=   all | maxDets= 20 ] =  0.930
 Average Recall     (AR) @[ IoU=0.75      | area=   all | maxDets= 20 ] =  0.844
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] =  0.741
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] =  0.847
2022-08-14 04:06:17,317 - mmpose - INFO - The previous best checkpoint /home/dx/projects/Poseur/work_dirs/poseur_res50_coco_256x192/best_AP_epoch_300.pth was removed
2022-08-14 04:06:18,256 - mmpose - INFO - Now best checkpoint is saved as best_AP_epoch_325.pth.
2022-08-14 04:06:18,257 - mmpose - INFO - Best AP is 0.7298 at 325 epoch.
2022-08-14 04:06:18,269 - mmpose - INFO - Epoch(val) [325][407] AP: 0.7298, AP .5: 0.8890, AP .75: 0.7979, AP (M): 0.6954, AP (L): 0.7964, AR: 0.7840, AR .5: 0.9304, AR .75: 0.8438, AR (M): 0.7406, AR (L): 0.8470

[YongtaoGe]

Hi, @xizero00 pls use the --cfg-options model.filp_fuse_type='type2' when evaluation, e.g.

./tools/dist_test.sh configs/body/2d_kpt_sview_rgb_img/poseur/coco/poseur_r50_coco_256x192.py \
    poseur_256x192_r50_6dec_coco.pth 8 \
    --eval mAP \
    --cfg-options model.filp_fuse_type=\'type2\'

If the results are still lower than the paper, pls let me know and I will check the code.