Closed monacv closed 3 years ago
I think I actually figured step 5 I might be wrong though:
(djrn) [jalal@goku DJ-RN]$ python script/assign_pose_GT.py --pose ../../data/smplify-x/ride_bike/toy_dataset/tmp_data_train/keypoints/ --res ../../data/smplify-x/ride_bike/toy_dataset/tmp_res_train/results/
(djrn) [jalal@goku DJ-RN]$ python script/assign_pose_Neg.py --pose ../../data/smplify-x/ride_bike/toy_dataset/tmp_data_train/keypoints/ --res ../../data/smplify-x/ride_bike/toy_dataset/tmp_res_train/results/
(djrn) [jalal@goku DJ-RN]$ python script/assign_pose_test.py --pose ../../data/smplify-x/ride_bike/toy_dataset/tmp_data_test/keypoints/ --res ../../data/smplify-x/ride_bike/toy_dataset/tmp_res_test/results/
So I have created a toy dataset (since step 4 is taking a lot of time for me and I want to for now just make sure I have an understanding of the entire platform).
So, my toy dataset has a train and test section sampled from HICO-DET dataset.
How should I pass arguments to --pose and --res?
Could you please help?
The following is shown in the README step 5:
$ python script/assign_pose_GT.py --pose <path to your pose used for SMPLify-X> --res <path to your SMPLify-X result>
so should I do the following?
$ python script/assign_pose_GT.py --pose /scratch3/research/data/smplify-x/ride_bike/toy_dataset/tmp_data_train/keypoints --res /scratch3/research/data/smplify-x/ride_bike/toy_dataset/tmp_res_train/results
Which yields to
Data/Trainval_GT_HICO_with_idx.pkl
file and only for train split or should I mix train and test data?Could you please show the following command with the exact arguments you pass to it for --pose and --res?
$ python script/assign_pose_GT.py --pose <path to your pose used for SMPLify-X> --res <path to your SMPLify-X result>
Here's my toy_dataset structure:
It is not really clear to me which part of data (train vs test) is passed to each of the 3 commands below. Could you please clarify with an example?