fixed app issue

app.py

@@ -1,146 +1,130 @@
 import os, sys
-import importlib
+import torch
 import argparse
 
 import numpy as np
 import torch
 import matplotlib.pyplot as plt
-
 from PIL import Image
 
-sys.path.append("./rome/")
-
 from rome.src.utils import args as args_utils
 from rome.src.utils.processing import process_black_shape, tensor2image
 
+sys.path.append("./rome/")
+sys.path.append('./DECA')
+
 # loading models ---- create model repo
-from huggingface_hub import hf_hub_url
+from huggingface_hub import hf_hub_download
 
-default_modnet_path = hf_hub_url('Pie31415/rome','modnet_photographic_portrait_matting.ckpt')
-default_model_path = hf_hub_url('Pie31415/rome','models/rome.pth')
+default_modnet_path = hf_hub_download('Pie31415/rome','modnet_photographic_portrait_matting.ckpt')
+default_model_path = hf_hub_download('Pie31415/rome','rome.pth')
 
 # parser configurations
-parser = argparse.ArgumentParser(conflict_handler='resolve')
-parser.add_argument('--save_dir', default='.', type=str)
-parser.add_argument('--save_render', default='True', type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--model_checkpoint', default=default_model_path, type=str)
-parser.add_argument('--modnet_path', default=default_modnet_path, type=str)
-parser.add_argument('--random_seed', default=0, type=int)
-parser.add_argument('--debug', action='store_true')
-parser.add_argument('--verbose', default='False', type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--model_image_size', default=256, type=int)
-parser.add_argument('--align_source', default='True', type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--align_target', default='False', type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--align_scale', default=1.25, type=float)
-
-parser.add_argument('--use_mesh_deformations', default='False', type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--subdivide_mesh', default='False', type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--renderer_sigma', default=1e-8, type=float)
-parser.add_argument('--renderer_zfar', default=100.0, type=float)
-parser.add_argument('--renderer_type', default='soft_mesh')
-parser.add_argument('--renderer_texture_type', default='texture_uv')
-parser.add_argument('--renderer_normalized_alphas', default='False', type=args_utils.str2bool,
-                    choices=[True, False])
-
-parser.add_argument('--deca_path', default='')
-parser.add_argument('--rome_data_dir', default='')
-
-
-parser.add_argument('--autoenc_cat_alphas', default='False', type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--autoenc_align_inputs', default='False', type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--autoenc_use_warp', default='False', type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--autoenc_num_channels', default=64, type=int)
-parser.add_argument('--autoenc_max_channels', default=512, type=int)
-parser.add_argument('--autoenc_num_groups', default=4, type=int)
-parser.add_argument('--autoenc_num_bottleneck_groups', default=0, type=int)
-parser.add_argument('--autoenc_num_blocks', default=2, type=int)
-parser.add_argument('--autoenc_num_layers', default=4, type=int)
-parser.add_argument('--autoenc_block_type', default='bottleneck')
-
-parser.add_argument('--neural_texture_channels', default=8, type=int)
-parser.add_argument('--num_harmonic_encoding_funcs', default=6, type=int)
-
-parser.add_argument('--unet_num_channels', default=64, type=int)
-parser.add_argument('--unet_max_channels', default=512, type=int)
-parser.add_argument('--unet_num_groups', default=4, type=int)
-parser.add_argument('--unet_num_blocks', default=1, type=int)
-parser.add_argument('--unet_num_layers', default=2, type=int)
-parser.add_argument('--unet_block_type', default='conv')
-parser.add_argument('--unet_skip_connection_type', default='cat')
-parser.add_argument('--unet_use_normals_cond', default=True, action='store_true')
-parser.add_argument('--unet_use_vertex_cond', action='store_true')
-parser.add_argument('--unet_use_uvs_cond', action='store_true')
-parser.add_argument('--unet_pred_mask', action='store_true')
-parser.add_argument('--use_separate_seg_unet', default='True', type=args_utils.str2bool, choices=[True, False])
-
-parser.add_argument('--norm_layer_type', default='gn', type=str, choices=['bn', 'sync_bn', 'in', 'gn'])
-parser.add_argument('--activation_type', default='relu', type=str, choices=['relu', 'lrelu'])
-parser.add_argument('--conv_layer_type', default='ws_conv', type=str, choices=['conv', 'ws_conv'])
-
-parser.add_argument('--deform_norm_layer_type', default='gn', type=str, choices=['bn', 'sync_bn', 'in', 'gn'])
-parser.add_argument('--deform_activation_type', default='relu', type=str, choices=['relu', 'lrelu'])
-parser.add_argument('--deform_conv_layer_type', default='ws_conv', type=str, choices=['conv', 'ws_conv'])
-parser.add_argument('--unet_seg_weight', default=0.0, type=float)
-parser.add_argument('--unet_seg_type', default='bce_with_logits', type=str, choices=['bce_with_logits', 'dice'])
-parser.add_argument('--deform_face_tightness', default=0.0, type=float)
-
-parser.add_argument('--use_whole_segmentation', action='store_true')
-parser.add_argument('--mask_hair_for_neck', action='store_true')
-parser.add_argument('--use_hair_from_avatar', action='store_true')
-
-# Basis deformations
-parser.add_argument('--use_scalp_deforms', default='True', type=args_utils.str2bool,
-                    choices=[True, False], help='')
-parser.add_argument('--use_neck_deforms', default='True', type=args_utils.str2bool,
-                    choices=[True, False], help='')
-parser.add_argument('--use_basis_deformer', default='False', type=args_utils.str2bool,
-                    choices=[True, False], help='')
-parser.add_argument('--use_unet_deformer', default='True', type=args_utils.str2bool,
-                    choices=[True, False], help='')
-
-parser.add_argument('--pretrained_encoder_basis_path', default='')
-parser.add_argument('--pretrained_vertex_basis_path', default='')
-parser.add_argument('--num_basis', default=50, type=int)
-parser.add_argument('--basis_init', default='pca', type=str, choices=['random', 'pca'])
-parser.add_argument('--num_vertex', default=5023, type=int)
-parser.add_argument('--train_basis', default=True, type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--path_to_deca', default='DECA')
-
-parser.add_argument('--path_to_linear_hair_model',
-                    default='data/linear_hair.pth')
-parser.add_argument('--path_to_mobile_model',
-                    default='data/disp_model.pth')
-parser.add_argument('--n_scalp', default=60, type=int)
-
-parser.add_argument('--use_distill', default=False, type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--use_mobile_version', default=False, type=args_utils.str2bool, choices=[True, False])
-
-parser.add_argument('--deformer_path', default='data/rome.pth')
-
-parser.add_argument('--output_unet_deformer_feats', default=32, type=int,
-                    help='output features in the UNet')
-
-parser.add_argument('--use_deca_details', default=False, type=args_utils.str2bool, choices=[True, False])
-parser.add_argument('--use_flametex', default=False, type=args_utils.str2bool, choices=[True, False])
-
-parser.add_argument('--upsample_type', default='nearest', type=str,
-                    choices=['nearest', 'bilinear', 'bicubic'])
-
-parser.add_argument('--num_frequencies', default=6, type=int, help='frequency for harmonic encoding')
-parser.add_argument('--deform_face_scale_coef', default=0.0, type=float)
-parser.add_argument('--device', default='cpu', type=str)
-# args, _ = parser.parse_known_args()
-
-# parser = importlib.import_module(f'src.rome').ROME.add_argparse_args(parser)
-args = parser.parse_args()
-args.deca_path = 'DECA'
-
-device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
-
-from infer import Infer
-
+from easydict import EasyDict as edict
+
+args = edict({
+    "save_dir": ".",
+    "save_render": True,
+    "model_checkpoint": default_model_path,
+    "modnet_path": default_modnet_path,
+    "random_seed": 0,
+    "debug": False,
+    "verbose": False,
+    "model_image_size": 256,
+    "align_source": True,
+    "align_target": False,
+    "align_scale": 1.25,
+    "use_mesh_deformations": False,
+    "subdivide_mesh": False,
+    "renderer_sigma": 1e-08,
+    "renderer_zfar": 100.0,
+    "renderer_type": "soft_mesh",
+    "renderer_texture_type": "texture_uv",
+    "renderer_normalized_alphas": False,
+    "deca_path": "DECA",
+    "rome_data_dir": "rome/data",
+    "autoenc_cat_alphas": False,
+    "autoenc_align_inputs": False,
+    "autoenc_use_warp": False,
+    "autoenc_num_channels": 64,
+    "autoenc_max_channels": 512,
+    "autoenc_num_groups": 4,
+    "autoenc_num_bottleneck_groups": 0,
+    "autoenc_num_blocks": 2,
+    "autoenc_num_layers": 4,
+    "autoenc_block_type": "bottleneck",
+    "neural_texture_channels": 8,
+    "num_harmonic_encoding_funcs": 6,
+    "unet_num_channels": 64,
+    "unet_max_channels": 512,
+    "unet_num_groups": 4,
+    "unet_num_blocks": 1,
+    "unet_num_layers": 2,
+    "unet_block_type": "conv",
+    "unet_skip_connection_type": "cat",
+    "unet_use_normals_cond": True,
+    "unet_use_vertex_cond": False,
+    "unet_use_uvs_cond": False,
+    "unet_pred_mask": False,
+    "use_separate_seg_unet": True,
+    "norm_layer_type": "gn",
+    "activation_type": "relu",
+    "conv_layer_type": "ws_conv",
+    "deform_norm_layer_type": "gn",
+    "deform_activation_type": "relu",
+    "deform_conv_layer_type": "ws_conv",
+    "unet_seg_weight": 0.0,
+    "unet_seg_type": "bce_with_logits",
+    "deform_face_tightness": 0.0001,
+    "use_whole_segmentation": False,
+    "mask_hair_for_neck": False,
+    "use_hair_from_avatar": False,
+    "use_scalp_deforms": True,
+    "use_neck_deforms": True,
+    "use_basis_deformer": False,
+    "use_unet_deformer": True,
+    "pretrained_encoder_basis_path": "",
+    "pretrained_vertex_basis_path": "",
+    "num_basis": 50,
+    "basis_init": "pca",
+    "num_vertex": 5023,
+    "train_basis": True,
+    "path_to_deca": "DECA",
+    "path_to_linear_hair_model": "data/linear_hair.pth", # N/A
+    "path_to_mobile_model": "data/disp_model.pth", # N/A
+    "n_scalp": 60,
+    "use_distill": False,
+    "use_mobile_version": False,
+    "deformer_path": "data/rome.pth",
+    "output_unet_deformer_feats": 32,
+    "use_deca_details": False,
+    "use_flametex": False,
+    "upsample_type": "nearest",
+    "num_frequencies": 6,
+    "deform_face_scale_coef": 0.0,
+    "device": "cpu"
+})
+
+# download FLAME and DECA pretrained
+generic_model_path = hf_hub_download('Pie31415/rome','generic_model.pkl')
+deca_model_path = hf_hub_download('Pie31415/rome','deca_model.tar')
+
+import pickle
+
+with open(generic_model_path, 'rb') as f:
+  ss = pickle.load(f, encoding='latin1')
+
+  with open('./DECA/data/generic_model.pkl', 'wb') as out:
+    pickle.dump(ss, out)
+
+with open(deca_model_path, "rb") as input:
+  with open('./DECA/data/deca_model.tar', "wb") as out:
+    for line in input:
+      out.write(line)
+
+# load ROME inference model
+from rome.infer import Infer
 infer = Infer(args)
-infer = infer.to(device)
 
 def predict(source_img, driver_img):
     out = infer.evaluate(source_img, driver_img, crop_center=False)
@@ -149,7 +133,6 @@ def predict(source_img, driver_img):
                         out['render_masked'].cpu(), out['pred_target_shape_img'][0].cpu()], dim=2))
     return res[..., ::-1]
 
-
 import gradio as gr
 
 gr.Interface(

requirements.txt

@@ -1,16 +1,414 @@
-numpy>=1.18.5
-scipy>=1.4.1 
-chumpy>=0.69
-scikit-image>=0.15 
-opencv-python>=4.1.1 
-scikit-image>=0.15     #skimage
-PyYAML==5.1.1         
-torch==1.6.0
-torchvision==0.7.0
-face-alignment
-yacs==0.1.8
+absl-py==1.3.0
+aeppl==0.0.33
+aesara==2.7.9
+aiohttp==3.8.3
+aiosignal==1.3.1
+alabaster==0.7.12
+albumentations==1.2.1
+altair==4.2.0
+appdirs==1.4.4
+arviz==0.12.1
+astor==0.8.1
+astropy==4.3.1
+astunparse==1.6.3
+async-timeout==4.0.2
+atari-py==0.2.9
+atomicwrites==1.4.1
+attrs==22.1.0
+audioread==3.0.0
+autograd==1.5
+Babel==2.11.0
+backcall==0.2.0
+beautifulsoup4==4.6.3
+bleach==5.0.1
+blis==0.7.9
+bokeh==2.3.3
+branca==0.6.0
+bs4==0.0.1
+CacheControl==0.12.11
+cachetools==5.2.0
+catalogue==2.0.8
+certifi==2022.12.7
+cffi==1.15.1
+cftime==1.6.2
+chardet==3.0.4
+charset-normalizer==2.1.1
+chumpy==0.70
+click==7.1.2
+clikit==0.6.2
+cloudpickle==1.5.0
+cmake==3.22.6
+cmdstanpy==1.0.8
+colorcet==3.0.1
+colorlover==0.3.0
+community==1.0.0b1
+confection==0.0.3
+cons==0.4.5
+contextlib2==0.5.5
+convertdate==2.4.0
+crashtest==0.3.1
+crcmod==1.7
+cufflinks==0.17.3
+cupy-cuda11x==11.0.0
+cvxopt==1.3.0
+cvxpy==1.2.2
+cycler==0.11.0
+cymem==2.0.7
+Cython==0.29.32
+daft==0.0.4
+dask==2022.2.1
+datascience==0.17.5
+db-dtypes==1.0.5
+debugpy==1.0.0
+decorator==4.4.2
+defusedxml==0.7.1
+descartes==1.1.0
+dill==0.3.6
+distributed==2022.2.1
+dlib==19.24.0
+dm-tree==0.1.7
+dnspython==2.2.1
+docutils==0.17.1
+dopamine-rl==1.0.5
+earthengine-api==0.1.335
+easydict==1.10
+ecos==2.0.10
+editdistance==0.5.3
+en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.4.1/en_core_web_sm-3.4.1-py3-none-any.whl
+entrypoints==0.4
+ephem==4.1.3
+et-xmlfile==1.1.0
+etils==0.9.0
+etuples==0.3.8
+fa2==0.3.5
+face-alignment==1.3.5
+fastai==2.7.10
+fastcore==1.5.27
+fastdownload==0.0.7
+fastdtw==0.3.4
+fastjsonschema==2.16.2
+fastprogress==1.0.3
+fastrlock==0.8.1
+feather-format==0.4.1
+filelock==3.8.2
+firebase-admin==5.3.0
+fix-yahoo-finance==0.0.22
+Flask==1.1.4
+flatbuffers==1.12
+folium==0.12.1.post1
+frozenlist==1.3.3
+fsspec==2022.11.0
+future==0.16.0
+fvcore==0.1.5.post20221221
+gast==0.4.0
+GDAL==2.2.2
+gdown==4.4.0
+gensim==3.6.0
+geographiclib==1.52
+geopy==1.17.0
+gin-config==0.5.0
+glob2==0.7
+google==2.0.3
+google-api-core==2.8.2
+google-api-python-client==1.12.11
+google-auth==2.15.0
+google-auth-httplib2==0.0.4
+google-auth-oauthlib==0.4.6
+google-cloud-bigquery==3.3.6
+google-cloud-bigquery-storage==2.16.2
+google-cloud-core==2.3.2
+google-cloud-datastore==2.9.0
+google-cloud-firestore==2.7.2
+google-cloud-language==2.6.1
+google-cloud-storage==2.5.0
+google-cloud-translate==3.8.4
+google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz
+google-crc32c==1.5.0
+google-pasta==0.2.0
+google-resumable-media==2.4.0
+googleapis-common-protos==1.57.0
+googledrivedownloader==0.4
+graphviz==0.10.1
+greenlet==2.0.1
+grpcio==1.51.1
+grpcio-status==1.48.2
+gspread==3.4.2
+gspread-dataframe==3.0.8
+gym==0.25.2
+gym-notices==0.0.8
+h5py==3.1.0
+HeapDict==1.0.1
+hijri-converter==2.2.4
+holidays==0.17.2
+holoviews==1.14.9
+html5lib==1.0.1
+httpimport==0.5.18
+httplib2==0.17.4
+httpstan==4.6.1
+huggingface-hub==0.11.1
+humanize==0.5.1
+hyperopt==0.1.2
+idna==2.10
+imageio==2.9.0
+imagesize==1.4.1
+imbalanced-learn==0.8.1
+imblearn==0.0
+imgaug==0.4.0
+importlib-metadata==5.1.0
+importlib-resources==5.10.1
+imutils==0.5.4
+inflect==2.1.0
+intel-openmp==2022.2.1
+intervaltree==2.1.0
+iopath==0.1.10
+ipykernel==5.3.4
+ipython==7.9.0
+ipython-genutils==0.2.0
+ipython-sql==0.3.9
+ipywidgets==7.7.1
+itsdangerous==1.1.0
+jax==0.3.25
+jaxlib @ https://storage.googleapis.com/jax-releases/cuda11/jaxlib-0.3.25+cuda11.cudnn805-cp38-cp38-manylinux2014_x86_64.whl
+jieba==0.42.1
+Jinja2==2.11.3
+joblib==1.2.0
+jpeg4py==0.1.4
+jsonschema==4.3.3
+jupyter-client==6.1.12
+jupyter-console==6.1.0
+jupyter-core==5.1.0
+jupyterlab-widgets==3.0.4
+kaggle==1.5.12
+kapre==0.3.7
+keras==2.9.0
+Keras-Preprocessing==1.1.2
+keras-vis==0.4.1
+kiwisolver==1.4.4
+korean-lunar-calendar==0.3.1
 kornia==0.4.0
-ninja
-fvcore
-argparse
-pytorch3d
+langcodes==3.3.0
+libclang==14.0.6
+librosa==0.8.1
+lightgbm==2.2.3
+llvmlite==0.39.1
+lmdb==0.99
+locket==1.0.0
+logical-unification==0.4.5
+LunarCalendar==0.0.9
+lxml==4.9.2
+Markdown==3.4.1
+MarkupSafe==2.0.1
+marshmallow==3.19.0
+matplotlib==3.2.2
+matplotlib-venn==0.11.7
+miniKanren==1.0.3
+missingno==0.5.1
+mistune==0.8.4
+mizani==0.7.3
+mkl==2019.0
+mlxtend==0.14.0
+more-itertools==9.0.0
+moviepy==0.2.3.5
+mpmath==1.2.1
+msgpack==1.0.4
+multidict==6.0.3
+multipledispatch==0.6.0
+multitasking==0.0.11
+murmurhash==1.0.9
+music21==5.5.0
+natsort==5.5.0
+nbconvert==5.6.1
+nbformat==5.7.0
+netCDF4==1.6.2
+networkx==2.8.8
+nibabel==3.0.2
+nltk==3.7
+notebook==5.7.16
+numba==0.56.4
+numexpr==2.8.4
+numpy==1.21.6
+oauth2client==4.1.3
+oauthlib==3.2.2
+okgrade==0.4.3
+opencv-contrib-python==4.6.0.66
+opencv-python==4.6.0.66
+opencv-python-headless==4.6.0.66
+openpyxl==3.0.10
+opt-einsum==3.3.0
+osqp==0.6.2.post0
+packaging==21.3
+palettable==3.3.0
+pandas==1.3.5
+pandas-datareader==0.9.0
+pandas-gbq==0.17.9
+pandas-profiling==1.4.1
+pandocfilters==1.5.0
+panel==0.12.1
+param==1.12.3
+parso==0.8.3
+partd==1.3.0
+pastel==0.2.1
+pathlib==1.0.1
+pathy==0.10.1
+patsy==0.5.3
+pep517==0.13.0
+pexpect==4.8.0
+pickleshare==0.7.5
+Pillow==7.1.2
+pip-tools==6.2.0
+platformdirs==2.6.0
+plotly==5.5.0
+plotnine==0.8.0
+pluggy==0.7.1
+pooch==1.6.0
+portalocker==2.6.0
+portpicker==1.3.9
+prefetch-generator==1.0.3
+preshed==3.0.8
+prettytable==3.5.0
+progressbar2==3.38.0
+prometheus-client==0.15.0
+promise==2.3
+prompt-toolkit==2.0.10
+prophet==1.1.1
+proto-plus==1.22.1
+protobuf==3.19.6
+psutil==5.4.8
+psycopg2==2.9.5
+ptyprocess==0.7.0
+py==1.11.0
+pyarrow==9.0.0
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
+pycocotools==2.0.6
+pycparser==2.21
+pyct==0.4.8
+pydantic==1.10.2
+pydata-google-auth==1.4.0
+pydot==1.3.0
+pydot-ng==2.0.0
+pydotplus==2.0.2
+PyDrive==1.3.1
+pyemd==0.5.1
+pyerfa==2.0.0.1
+Pygments==2.6.1
+pygobject==3.26.1
+pylev==1.4.0
+pymc==4.1.4
+PyMeeus==0.5.12
+pymongo==4.3.3
+pymystem3==0.2.0
+PyOpenGL==3.1.6
+pyparsing==3.0.9
+pyrsistent==0.19.2
+pysimdjson==3.2.0
+pysndfile==1.3.8
+PySocks==1.7.1
+pystan==3.3.0
+pytest==3.6.4
+python-apt==0.0.0
+python-dateutil==2.8.2
+python-louvain==0.16
+python-slugify==7.0.0
+python-utils==3.4.5
+pytorch3d==0.3.0
+pytz==2022.6
+pyviz-comms==2.2.1
+PyWavelets==1.4.1
+PyYAML==6.0
+pyzmq==23.2.1
+qdldl==0.1.5.post2
+qudida==0.0.4
+regex==2022.6.2
+requests==2.23.0
+requests-oauthlib==1.3.1
+resampy==0.4.2
+rpy2==3.5.5
+rsa==4.9
+scikit-image==0.18.3
+scikit-learn==1.0.2
+scipy==1.7.3
+screen-resolution-extra==0.0.0
+scs==3.2.2
+seaborn==0.11.2
+Send2Trash==1.8.0
+setuptools-git==1.2
+shapely==2.0.0
+six==1.15.0
+sklearn-pandas==1.8.0
+smart-open==6.3.0
+snowballstemmer==2.2.0
+sortedcontainers==2.4.0
+soundfile==0.11.0
+spacy==3.4.4
+spacy-legacy==3.0.10
+spacy-loggers==1.0.4
+Sphinx==1.8.6
+sphinxcontrib-serializinghtml==1.1.5
+sphinxcontrib-websupport==1.2.4
+SQLAlchemy==1.4.45
+sqlparse==0.4.3
+srsly==2.4.5
+statsmodels==0.12.2
+sympy==1.7.1
+tables==3.7.0
+tabulate==0.8.10
+tblib==1.7.0
+tenacity==8.1.0
+tensorboard==2.9.1
+tensorboard-data-server==0.6.1
+tensorboard-plugin-wit==1.8.1
+tensorflow==2.9.2
+tensorflow-datasets==4.6.0
+tensorflow-estimator==2.9.0
+tensorflow-gcs-config==2.9.1
+tensorflow-hub==0.12.0
+tensorflow-io-gcs-filesystem==0.28.0
+tensorflow-metadata==1.12.0
+tensorflow-probability==0.17.0
+termcolor==2.1.1
+terminado==0.13.3
+testpath==0.6.0
+text-unidecode==1.3
+textblob==0.15.3
+thinc==8.1.5
+threadpoolctl==3.1.0
+tifffile==2022.10.10
+toml==0.10.2
+tomli==2.0.1
+toolz==0.12.0
+torch==1.6.0+cu101
+torchaudio @ https://download.pytorch.org/whl/cu116/torchaudio-0.13.0%2Bcu116-cp38-cp38-linux_x86_64.whl
+torchsummary==1.5.1
+torchtext==0.14.0
+torchvision==0.7.0+cu101
+tornado==6.0.4
+tqdm==4.64.1
+traitlets==5.7.1
+tweepy==3.10.0
+typeguard==2.7.1
+typer==0.7.0
+typing-extensions==4.4.0
+tzlocal==1.5.1
+uritemplate==3.0.1
+urllib3==1.24.3
+vega-datasets==0.9.0
+wasabi==0.10.1
+wcwidth==0.2.5
+webargs==8.2.0
+webencodings==0.5.1
+Werkzeug==1.0.1
+widgetsnbextension==3.6.1
+wordcloud==1.8.2.2
+wrapt==1.14.1
+xarray==2022.12.0
+xarray-einstats==0.4.0
+xgboost==0.90
+xkit==0.0.0
+xlrd==1.2.0
+xlwt==1.3.0
+yacs==0.1.8
+yarl==1.8.2
+yellowbrick==1.5
+zict==2.2.0
+zipp==3.11.0