Replaced deprecated data types and fixed some typos in README.md #16
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Some nonexhaustive tarballs and various zip extensions.
- included updated environment and setup instructions - shifted data collection part into detail/summary blocks
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Hi @setarehc, I've found a few more things I thought might help make your project more awesome:
Hope you have time to review and maybe merge some of these :) |
- initially "text"/"action" was set early, so args.dataset was checked twice - we now set "action" by default with option to switch to "text" per dataset
- moved working notes into its own header section - renamed sections for training and inference
- updated "custom" in documentation to "myrig" - added hml_vec and dataset name in synthesis part - introduced new scripts for the custom workflow - build_vectors: compute rot_6d representation from custom rig - annotate_texts: create annotated texts from raw descriptions - cal_mean_variance: compute mean and variance for custom rig
- aligned the inference part - added preliminary motion_process details
- building the beginning of the inference part - added details for the training of custom models
- will need to update njoints manually - added custom to encode_text()
- dropped some KIT references
- restructured text - added pointers to the new class needed in dataset.py - added the start of the output shaping section - moved some exploratory notes into instruction section - removed edit_args dump since TrainingArgs blocks explain better
- replaced unused HumanML3D class with modified CustomRig template class - updated t2m minimum animation length to 5 frames - updated n_joints from 22 to 27 in conversion functions - removed block containing just comments - added explicit type and arg messages for exceptions - added CustomRig imports in get_data.py and utils/model_util.py
- added steps in general sequence at top of README.md - data_loaders/custom_utils.py for custom rig matrix initialization - utils/editing_util.py for new mask computation - configs/card.py for overriding options - custom_utils.py: new matrix dimensions - editing_util.py: joint_to_full_mask_custom() - card.py: new card dataclass - corresponding training steps in train/train_condmdi.py
- commented out unused evaluation import - added catch for ZeroDivisionError in data loading
- changed paths for data/text loading - calculated dim_pose based on humanml_opt.txt
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Based on some warnings, I removed np.float/bool etc and replaced them with the non-numpy versions. Also I fixed some things in README which I thought were typos, hope it helps.