feat: extract opengait_studio monorepo module

Move demo implementation into opengait_studio, retire Sports2D runtime integration, and align packaging with root-level monorepo dependency management.

opengait/modeling/base_model.py

@@ -28,11 +28,11 @@ from data.transform import get_transform
 from data.collate_fn import CollateFn
 from data.dataset import DataSet
 import data.sampler as Samplers
-from utils import Odict, mkdir, ddp_all_gather
-from utils import get_valid_args, is_list, is_dict, np2var, ts2np, list2var, get_attr_from
+from opengait.utils import Odict, mkdir, ddp_all_gather
+from opengait.utils import get_valid_args, is_list, is_dict, np2var, ts2np, list2var, get_attr_from
 from evaluation import evaluator as eval_functions
-from utils import NoOp
-from utils import get_msg_mgr
+from opengait.utils import NoOp
+from opengait.utils import get_msg_mgr
 
 __all__ = ['BaseModel']
 

opengait/modeling/loss_aggregator.py

@@ -3,9 +3,9 @@
 import torch
 import torch.nn as nn
 from . import losses
-from utils import is_dict, get_attr_from, get_valid_args, is_tensor, get_ddp_module
-from utils import Odict
-from utils import get_msg_mgr
+from opengait.utils import is_dict, get_attr_from, get_valid_args, is_tensor, get_ddp_module
+from opengait.utils import Odict
+from opengait.utils import get_msg_mgr
 
 
 class LossAggregator(nn.Module):

opengait/modeling/losses/base.py

@@ -1,9 +1,9 @@
 from ctypes import ArgumentError
 import torch.nn as nn
 import torch
-from utils import Odict
+from opengait.utils import Odict
 import functools
-from utils import ddp_all_gather
+from opengait.utils import ddp_all_gather
 
 
 def gather_and_scale_wrapper(func):

opengait/modeling/models/BigGait_utils/BigGait_GaitBase.py

@@ -132,7 +132,7 @@ class Post_ResNet9(ResNet):
         return x
 
 
-from utils import get_valid_args, is_list, is_dict, np2var, ts2np, list2var, get_attr_from
+from opengait.utils import get_valid_args, is_list, is_dict, np2var, ts2np, list2var, get_attr_from
 from ... import backbones
 class Baseline(nn.Module):
     def __init__(self, model_cfg):

opengait/modeling/models/denoisinggait.py

@@ -4,7 +4,7 @@ from ..base_model import BaseModel
 from ..modules import SetBlockWrapper, HorizontalPoolingPyramid, PackSequenceWrapper, SeparateFCs, SeparateBNNecks, conv1x1, conv3x3, FlowFunc
 import torch.optim as optim
 from einops import rearrange
-from utils import get_valid_args
+from opengait.utils import get_valid_args
 import warnings
 import random
 from torchvision.utils import flow_to_image

opengait/modeling/models/diffgait_utils/GaitBase_fusion_denoise_flow26_attn.py

@@ -161,7 +161,7 @@ class Post_ResNet9(ResNet):
         return x
 
 
-from utils import get_valid_args, is_list, is_dict, np2var, ts2np, list2var, get_attr_from
+from opengait.utils import get_valid_args, is_list, is_dict, np2var, ts2np, list2var, get_attr_from
 from ... import backbones
 class GaitBaseFusion_denoise(nn.Module):
     def __init__(self, model_cfg):

opengait/modeling/models/gaitedge.py

@@ -6,7 +6,7 @@ from ..base_model import BaseModel
 from .gaitgl import GaitGL
 from ..modules import GaitAlign
 from torchvision.transforms import Resize
-from utils import get_valid_args, get_attr_from, is_list_or_tuple
+from opengait.utils import get_valid_args, get_attr_from, is_list_or_tuple
 import os.path as osp
 
 

opengait/modeling/models/gaitpart.py

@@ -2,7 +2,7 @@ import torch
 import torch.nn as nn
 from ..base_model import BaseModel
 from ..modules import SetBlockWrapper, HorizontalPoolingPyramid, PackSequenceWrapper, SeparateFCs
-from utils import clones
+from opengait.utils import clones
 
 
 class BasicConv1d(nn.Module):

opengait/modeling/models/gaitssb.py

@@ -7,7 +7,7 @@ import torch.nn.functional as F
 from ..base_model import BaseModel
 from ..modules import PackSequenceWrapper, HorizontalPoolingPyramid, SetBlockWrapper, ParallelBN1d, SeparateFCs
 
-from utils import np2var, list2var, get_valid_args, ddp_all_gather
+from opengait.utils import np2var, list2var, get_valid_args, ddp_all_gather
 from data.transform import get_transform
 from einops import rearrange
 
@@ -143,7 +143,7 @@ class GaitSSB_Pretrain(BaseModel):
 
 import torch.optim as optim
 import numpy as np
-from utils import get_valid_args, list2var
+from opengait.utils import get_valid_args, list2var
 
 class no_grad(torch.no_grad):
     def __init__(self, enable=True):

opengait/modeling/models/swingait.py

@@ -782,7 +782,7 @@ from ..modules import BasicBlock2D, BasicBlockP3D
 import torch.optim as optim
 import os.path as osp
 from collections import OrderedDict
-from utils import get_valid_args, get_attr_from
+from opengait.utils import get_valid_args, get_attr_from
 
 class SwinGait(BaseModel):
     def __init__(self, cfgs, training): 

opengait/modeling/modules.py

@@ -2,7 +2,7 @@ import torch
 import numpy as np
 import torch.nn as nn
 import torch.nn.functional as F
-from utils import clones, is_list_or_tuple
+from opengait.utils import clones, is_list_or_tuple
 from torchvision.ops import RoIAlign