tangy5
commented
1 year ago Hi @Rajeshtims , there is a rate limited for accessing the MONAI Model Zoo, from MONAI Label side, now we have updated the logic.
If you can upgrade MONAI Label to 0.7.0rc versions, it allows access for several time in a short time without a requirement of providing a Github auth token. pip install monailabel==0.7.0rc7 , for pathology app, you might need to upgrade the sample app as well.
Another option is you can provide your own Github auth token when staring monailabel server to get unlimited access:
monailabel start_server --app <pathology> --studies <> --conf models <> --conf auth_token <YOUR GITHUB AUTH TOKEN>
Thanks.
rajeshtims
I am trying to start the server and I keep getting the 403 Client Error: rate limit exceeded for url: https://api.github.com/repos/Project-MONAI/model-zoo/releases error.
I am using it on a conda environment. I tried with setting concurrency from 2-20, still no luck.
### Here is the command I used to start the server:
monailabel start_server --app C:/Users/raj/apps/pathology --studies C:/Users/raj/datasets/ --conf models hovernet_nuclei --limit_concurrency 2
Here is the full error:
(monai_conda) C:\Users\raj>monailabel start_server --app C:/Users/raj/apps/pathology --studies C:/Users/raj/datasets/ --conf models hovernet_nuclei --limit_concurrency 2 Using PYTHONPATH=C:\Users\raj\Anaconda3\envs;C:\Users\raj\Anaconda3\envs;C:\Users\raj\Anaconda3 "" 2023-05-25 09:05:51,983 - USING:: version = False 2023-05-25 09:05:51,983 - USING:: app = C:\Users\raj\apps\pathology 2023-05-25 09:05:51,987 - USING:: studies = C:\Users\raj\datasets 2023-05-25 09:05:51,995 - USING:: verbose = INFO 2023-05-25 09:05:51,995 - USING:: conf = [['models', 'hovernet_nuclei']] 2023-05-25 09:05:51,996 - USING:: host = 0.0.0.0 2023-05-25 09:05:51,997 - USING:: port = 8000 2023-05-25 09:05:51,997 - USING:: uvicorn_app = monailabel.app:app 2023-05-25 09:05:51,999 - USING:: ssl_keyfile = None 2023-05-25 09:05:51,999 - USING:: ssl_certfile = None 2023-05-25 09:05:52,001 - USING:: ssl_keyfile_password = None 2023-05-25 09:05:52,001 - USING:: ssl_ca_certs = None 2023-05-25 09:05:52,002 - USING:: workers = None 2023-05-25 09:05:52,003 - USING:: limit_concurrency = 2 2023-05-25 09:05:52,004 - USING:: access_log = False 2023-05-25 09:05:52,004 - USING:: log_config = None 2023-05-25 09:05:52,005 - USING:: dryrun = False 2023-05-25 09:05:52,006 - USING:: action = start_server 2023-05-25 09:05:52,007 - ENV SETTINGS:: MONAI_LABEL_API_STR = 2023-05-25 09:05:52,012 - ENV SETTINGS:: MONAI_LABEL_PROJECT_NAME = MONAILabel 2023-05-25 09:05:52,012 - ENV SETTINGS:: MONAI_LABEL_APP_DIR = 2023-05-25 09:05:52,015 - ENV SETTINGS:: MONAI_LABEL_STUDIES = 2023-05-25 09:05:52,017 - ENV SETTINGS:: MONAI_LABEL_AUTH_ENABLE = False 2023-05-25 09:05:52,020 - ENV SETTINGS:: MONAI_LABEL_AUTH_DB = 2023-05-25 09:05:52,020 - ENV SETTINGS:: MONAI_LABEL_APP_CONF = '{}' 2023-05-25 09:05:52,025 - ENV SETTINGS:: MONAI_LABEL_TASKS_TRAIN = True 2023-05-25 09:05:52,026 - ENV SETTINGS:: MONAI_LABEL_TASKS_STRATEGY = True 2023-05-25 09:05:52,027 - ENV SETTINGS:: MONAI_LABEL_TASKS_SCORING = True 2023-05-25 09:05:52,028 - ENV SETTINGS:: MONAI_LABEL_TASKS_BATCH_INFER = True 2023-05-25 09:05:52,028 - ENV SETTINGS:: MONAI_LABEL_DATASTORE = 2023-05-25 09:05:52,029 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_URL = 2023-05-25 09:05:52,030 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_USERNAME = 2023-05-25 09:05:52,030 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_PASSWORD = 2023-05-25 09:05:52,031 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_API_KEY = 2023-05-25 09:05:52,031 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_CACHE_PATH = 2023-05-25 09:05:52,033 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_PROJECT = 2023-05-25 09:05:52,034 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_ASSET_PATH = 2023-05-25 09:05:52,034 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_DSA_ANNOTATION_GROUPS = 2023-05-25 09:05:52,035 - ENV SETTINGS:: MONAI_LABEL_DICOMWEB_USERNAME = 2023-05-25 09:05:52,036 - ENV SETTINGS:: MONAI_LABEL_DICOMWEB_PASSWORD = 2023-05-25 09:05:52,036 - ENV SETTINGS:: MONAI_LABEL_DICOMWEB_CACHE_PATH = 2023-05-25 09:05:52,042 - ENV SETTINGS:: MONAI_LABEL_QIDO_PREFIX = None 2023-05-25 09:05:52,042 - ENV SETTINGS:: MONAI_LABEL_WADO_PREFIX = None 2023-05-25 09:05:52,046 - ENV SETTINGS:: MONAI_LABEL_STOW_PREFIX = None 2023-05-25 09:05:52,047 - ENV SETTINGS:: MONAI_LABEL_DICOMWEB_FETCH_BY_FRAME = False 2023-05-25 09:05:52,050 - ENV SETTINGS:: MONAI_LABEL_DICOMWEB_CONVERT_TO_NIFTI = True 2023-05-25 09:05:52,051 - ENV SETTINGS:: MONAI_LABEL_DICOMWEB_SEARCH_FILTER = '{"Modality": "CT"}' 2023-05-25 09:05:52,055 - ENV SETTINGS:: MONAI_LABEL_DICOMWEB_CACHE_EXPIRY = 180 2023-05-25 09:05:52,056 - ENV SETTINGS:: MONAI_LABEL_DICOMWEB_PROXY_TIMEOUT = 30.0 2023-05-25 09:05:52,057 - ENV SETTINGS:: MONAI_LABEL_DICOMWEB_READ_TIMEOUT = 5.0 2023-05-25 09:05:52,059 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_AUTO_RELOAD = True 2023-05-25 09:05:52,059 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_READ_ONLY = False 2023-05-25 09:05:52,060 - ENV SETTINGS:: MONAI_LABEL_DATASTORE_FILE_EXT = '[".nii.gz", ".nii", ".nrrd", ".jpg", ".png", ".tif", ".svs", ".xml"]' 2023-05-25 09:05:52,060 - ENV SETTINGS:: MONAI_LABEL_SERVER_PORT = 8000 2023-05-25 09:05:52,061 - ENV SETTINGS:: MONAI_LABEL_CORS_ORIGINS = '[]' 2023-05-25 09:05:52,062 - ENV SETTINGS:: MONAI_LABEL_SESSIONS = True 2023-05-25 09:05:52,063 - ENV SETTINGS:: MONAI_LABEL_SESSION_PATH = 2023-05-25 09:05:52,063 - ENV SETTINGS:: MONAI_LABEL_SESSION_EXPIRY = 3600 2023-05-25 09:05:52,064 - ENV SETTINGS:: MONAI_LABEL_INFER_CONCURRENCY = -1 2023-05-25 09:05:52,065 - ENV SETTINGS:: MONAI_LABEL_INFER_TIMEOUT = 600 2023-05-25 09:05:52,067 - ENV SETTINGS:: MONAI_LABEL_TRACKING_ENABLED = True 2023-05-25 09:05:52,067 - ENV SETTINGS:: MONAI_LABEL_TRACKING_URI = 2023-05-25 09:05:52,073 - ENV SETTINGS:: MONAI_ZOO_SOURCE = github 2023-05-25 09:05:52,074 - ENV SETTINGS:: MONAI_ZOO_REPO = Project-MONAI/model-zoo/hosting_storage_v1 2023-05-25 09:05:52,077 - ENV SETTINGS:: MONAI_ZOO_AUTH_TOKEN = 2023-05-25 09:05:52,078 - ENV SETTINGS:: MONAI_LABEL_AUTO_UPDATE_SCORING = True 2023-05-25 09:05:52,078 - Allow Origins: ['*'] [2023-05-25 09:05:52,829] [20476] [MainThread] [INFO] (uvicorn.error:75) - Started server process [20476] [2023-05-25 09:05:52,830] [20476] [MainThread] [INFO] (uvicorn.error:45) - Waiting for application startup. [2023-05-25 09:05:52,833] [20476] [MainThread] [INFO] (monailabel.interfaces.utils.app:39) - Initializing App from: C:\Users\raj\apps\pathology; studies: C:\Users\raj\datasets; conf: {'models': 'hovernet_nuclei'} [2023-05-25 09:05:52,885] [20476] [MainThread] [INFO] (monailabel.utils.others.class_utils:37) - Subclass for MONAILabelApp Found: <class 'main.MyApp'> [2023-05-25 09:05:52,893] [20476] [MainThread] [INFO] (monailabel.utils.others.class_utils:37) - Subclass for TaskConfig Found: <class 'lib.configs.classification_nuclei.ClassificationNuclei'> [2023-05-25 09:05:52,894] [20476] [MainThread] [INFO] (monailabel.utils.others.class_utils:37) - Subclass for TaskConfig Found: <class 'lib.configs.hovernet_nuclei.HovernetNuclei'> [2023-05-25 09:05:52,895] [20476] [MainThread] [INFO] (monailabel.utils.others.class_utils:37) - Subclass for TaskConfig Found: <class 'lib.configs.nuclick.NuClick'> [2023-05-25 09:05:52,896] [20476] [MainThread] [INFO] (monailabel.utils.others.class_utils:37) - Subclass for TaskConfig Found: <class 'lib.configs.segmentation_nuclei.SegmentationNuclei'> [2023-05-25 09:05:52,897] [20476] [MainThread] [INFO] (main:83) - +++ Adding Model: hovernet_nuclei => lib.configs.hovernet_nuclei.HovernetNuclei [2023-05-25 09:05:53,127] [20476] [MainThread] [ERROR] (uvicorn.error:119) - Traceback (most recent call last): File "C:\Users\raj\Anaconda3\envs\monai_conda\lib\site-packages\starlette\routing.py", line 635, in lifespan async with self.lifespan_context(app): File "C:\Users\raj\Anaconda3\envs\monai_conda\lib\site-packages\starlette\routing.py", line 530, in aenter await self._router.startup() File "C:\Users\raj\Anaconda3\envs\monai_conda\lib\site-packages\starlette\routing.py", line 612, in startup await handler() File "C:\Users\raj\Anaconda3\envs\monai_conda\lib\site-packages\monailabel\app.py", line 106, in startup_event instance = app_instance() File "C:\Users\raj\Anaconda3\envs\monai_conda\lib\site-packages\monailabel\interfaces\utils\app.py", line 52, in app_instance app = c(app_dir=app_dir, studies=studies, conf=conf) File "C:\Users\raj\apps\pathology\main.py", line 85, in init self.models[k].init(k, self.model_dir, conf, None) File "C:\Users\raj\apps\pathology\lib\configs\hovernet_nuclei.py", line 33, in init bundle_version = get_bundle_versions(bundle_name, repo=f"{repo_owner}/{repo_name}", tag=tag_name)[ File "C:\Users\raj\Anaconda3\envs\monai_conda\lib\site-packages\monai\bundle\scripts.py", line 520, in get_bundle_versions bundles_info = _get_all_bundles_info(repo=repo, tag=tag, auth_token=auth_token) File "C:\Users\raj\Anaconda3\envs\monai_conda\lib\site-packages\monai\bundle\scripts.py", line 434, in _get_all_bundles_info resp.raise_for_status() File "C:\Users\raj\Anaconda3\envs\monai_conda\lib\site-packages\requests\models.py", line 1021, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 403 Client Error: rate limit exceeded for url: https://api.github.com/repos/Project-MONAI/model-zoo/releases
[2023-05-25 09:05:53,129] [20476] [MainThread] [ERROR] (uvicorn.error:56) - Application startup failed. Exiting.
Here is the output of: python -c 'import monai; monai.config.print_debug_info()'
================================ Printing MONAI config...
MONAI version: 1.1.0 Numpy version: 1.24.3 Pytorch version: 2.0.0 MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False MONAI rev id: a2ec3752f54bfc3b40e7952234fbeb5452ed63e3 MONAI file: C:\Users\generics\Anaconda3\envs\monai_conda\lib\site-packages\monai__init__.py
Optional dependencies: Pytorch Ignite version: 0.4.10 Nibabel version: 5.1.0 scikit-image version: 0.20.0 Pillow version: 9.4.0 Tensorboard version: 2.13.0 gdown version: 4.7.1 TorchVision version: 0.14.1+cpu tqdm version: 4.65.0 lmdb version: 1.4.1 psutil version: 5.9.5 pandas version: 2.0.1 einops version: 0.6.1 transformers version: NOT INSTALLED or UNKNOWN VERSION. mlflow version: 2.3.2 pynrrd version: 0.4.3
For details about installing the optional dependencies, please visit: https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies
================================ Printing system config...
System: Windows Win32 version: ('10', '10.0.17763', 'SP0', 'Multiprocessor Free') Win32 edition: EnterpriseS Platform: Windows-10-10.0.17763-SP0 Processor: Intel64 Family 6 Model 85 Stepping 7, GenuineIntel Machine: AMD64 Python version: 3.10.11 Process name: python.exe Command: ['python', '-c', 'import monai; monai.config.print_debug_info()'] Open files: [popenfile(path='C:\Windows\System32\en-US\KernelBase.dll.mui', fd=-1), popenfile(path='C:\Windows\System32\en-US\kernel32.dll.mui', fd=-1), popenfile(path='C:\Windows\System32\en-US\tzres.dll.mui', fd=-1)] Num physical CPUs: 8 Num logical CPUs: 16 Num usable CPUs: 16 CPU usage (%): [7.2, 2.5, 8.2, 1.1, 1.7, 0.3, 1.7, 2.3, 4.3, 0.6, 1.1, 1.1, 4.0, 0.3, 1.1, 53.1] CPU freq. (MHz): 3592 Load avg. in last 1, 5, 15 mins (%): [0.0, 0.0, 0.0] Disk usage (%): 65.1 Avg. sensor temp. (Celsius): UNKNOWN for given OS Total physical memory (GB): 63.7 Available memory (GB): 48.7 Used memory (GB): 15.0
================================ Printing GPU config...
Num GPUs: 1 Has CUDA: True CUDA version: 11.8 cuDNN enabled: True cuDNN version: 8700 Current device: 0 Library compiled for CUDA architectures: ['sm_37', 'sm_50', 'sm_60', 'sm_61', 'sm_70', 'sm_75', 'sm_80', 'sm_86', 'sm_90', 'compute_37'] GPU 0 Name: NVIDIA GeForce RTX 2080 Ti GPU 0 Is integrated: False GPU 0 Is multi GPU board: False GPU 0 Multi processor count: 68 GPU 0 Total memory (GB): 11.0 GPU 0 CUDA capability (maj.min): 7.5
I have the following packages installed:
#
Name Version Build Channel
absl-py 1.4.0 pypi_0 pypi alembic 1.11.1 pypi_0 pypi anyio 3.6.2 pypi_0 pypi asgiref 3.6.0 pypi_0 pypi attrs 23.1.0 pypi_0 pypi bcrypt 3.2.2 pypi_0 pypi beautifulsoup4 4.12.2 pypi_0 pypi blas 1.0 mkl blinker 1.6.2 pypi_0 pypi brotlipy 0.7.0 py310h2bbff1b_1002 bzip2 1.0.8 he774522_0 ca-certificates 2023.01.10 haa95532_0 cachetools 5.2.0 pypi_0 pypi certifi 2023.5.7 py310haa95532_0 cffi 1.15.1 py310h2bbff1b_3 charset-normalizer 2.0.4 pyhd3eb1b0_0 click 8.1.3 pypi_0 pypi cloudpickle 2.2.1 pypi_0 pypi colorama 0.4.6 pypi_0 pypi contourpy 1.0.7 pypi_0 pypi cryptography 39.0.1 py310h21b164f_0 cuda-cccl 12.1.109 0 nvidia cuda-cudart 11.8.89 0 nvidia cuda-cudart-dev 11.8.89 0 nvidia cuda-cupti 11.8.87 0 nvidia cuda-libraries 11.8.0 0 nvidia cuda-libraries-dev 11.8.0 0 nvidia cuda-nvrtc 11.8.89 0 nvidia cuda-nvrtc-dev 11.8.89 0 nvidia cuda-nvtx 11.8.86 0 nvidia cuda-profiler-api 12.1.105 0 nvidia cuda-runtime 11.8.0 0 nvidia cycler 0.11.0 pypi_0 pypi databricks-cli 0.17.7 pypi_0 pypi dicomweb-client 0.56.2 pypi_0 pypi diskcache 5.6.1 pypi_0 pypi docker 6.1.2 pypi_0 pypi ecdsa 0.18.0 pypi_0 pypi einops 0.6.1 pypi_0 pypi entrypoints 0.4 pypi_0 pypi expiring-dict 1.1.0 pypi_0 pypi expiringdict 1.2.1 pypi_0 pypi fastapi 0.78.0 pypi_0 pypi filelock 3.7.1 pypi_0 pypi fire 0.5.0 pypi_0 pypi flask 2.3.2 pypi_0 pypi fonttools 4.39.4 pypi_0 pypi freetype 2.12.1 ha860e81_0 gdown 4.7.1 pypi_0 pypi giflib 5.2.1 h8cc25b3_3 girder-client 3.1.14 pypi_0 pypi gitdb 4.0.10 pypi_0 pypi gitpython 3.1.31 pypi_0 pypi google-auth 2.18.1 pypi_0 pypi google-auth-oauthlib 1.0.0 pypi_0 pypi greenlet 2.0.2 pypi_0 pypi grpcio 1.54.2 pypi_0 pypi h11 0.12.0 pypi_0 pypi httpcore 0.15.0 pypi_0 pypi httpx 0.23.0 pypi_0 pypi idna 3.4 py310haa95532_0 imageio 2.28.1 pypi_0 pypi importlib-metadata 6.6.0 pypi_0 pypi intel-openmp 2023.1.0 h59b6b97_46319 itk 5.3.0 pypi_0 pypi itk-core 5.3.0 pypi_0 pypi itk-filtering 5.3.0 pypi_0 pypi itk-io 5.3.0 pypi_0 pypi itk-numerics 5.3.0 pypi_0 pypi itk-registration 5.3.0 pypi_0 pypi itk-segmentation 5.3.0 pypi_0 pypi itsdangerous 2.1.2 pypi_0 pypi jinja2 3.1.2 py310haa95532_0 joblib 1.2.0 pypi_0 pypi jpeg 9e h2bbff1b_1 jsonschema 3.2.0 pypi_0 pypi kiwisolver 1.4.4 pypi_0 pypi lazy-loader 0.2 pypi_0 pypi lerc 3.0 hd77b12b_0 libcublas 11.11.3.6 0 nvidia libcublas-dev 11.11.3.6 0 nvidia libcufft 10.9.0.58 0 nvidia libcufft-dev 10.9.0.58 0 nvidia libcurand 10.3.2.106 0 nvidia libcurand-dev 10.3.2.106 0 nvidia libcusolver 11.4.1.48 0 nvidia libcusolver-dev 11.4.1.48 0 nvidia libcusparse 11.7.5.86 0 nvidia libcusparse-dev 11.7.5.86 0 nvidia libdeflate 1.17 h2bbff1b_0 libffi 3.4.4 hd77b12b_0 libnpp 11.8.0.86 0 nvidia libnpp-dev 11.8.0.86 0 nvidia libnvjpeg 11.9.0.86 0 nvidia libnvjpeg-dev 11.9.0.86 0 nvidia libpng 1.6.39 h8cc25b3_0 libtiff 4.5.0 h6c2663c_2 libuv 1.44.2 h2bbff1b_0 libwebp 1.2.4 hbc33d0d_1 libwebp-base 1.2.4 h2bbff1b_1 lmdb 1.4.1 pypi_0 pypi lz4-c 1.9.4 h2bbff1b_0 mako 1.2.4 pypi_0 pypi markdown 3.4.3 pypi_0 pypi markupsafe 2.1.1 py310h2bbff1b_0 matplotlib 3.7.1 pypi_0 pypi mkl 2023.1.0 h8bd8f75_46356 mkl-service 2.4.0 py310h2bbff1b_1 mkl_fft 1.3.6 py310h4ed8f06_1 mkl_random 1.2.2 py310h4ed8f06_1 mlflow 2.3.2 pypi_0 pypi monai 1.1.0 pypi_0 pypi monailabel 0.6.0 pypi_0 pypi mpmath 1.2.1 py310haa95532_0 networkx 2.8.4 py310haa95532_1 nibabel 5.1.0 pypi_0 pypi ninja 1.10.2.3 pypi_0 pypi numpy 1.24.3 py310h055cbcc_1 numpy-base 1.24.3 py310h65a83cf_1 numpymaxflow 0.0.5 pypi_0 pypi oauthlib 3.2.2 pypi_0 pypi opencv-python-headless 4.5.5.64 pypi_0 pypi openslide-python 1.1.2 pypi_0 pypi openssl 1.1.1t h2bbff1b_0 packaging 23.1 pypi_0 pypi pandas 2.0.1 pypi_0 pypi passlib 1.7.4 pypi_0 pypi pillow 9.4.0 py310hd77b12b_0 pip 23.0.1 py310haa95532_0 protobuf 4.23.1 pypi_0 pypi psutil 5.9.5 pypi_0 pypi pyarrow 11.0.0 pypi_0 pypi pyasn1 0.5.0 pypi_0 pypi pyasn1-modules 0.3.0 pypi_0 pypi pycparser 2.21 pyhd3eb1b0_0 pydantic 1.10.7 pypi_0 pypi pydicom 2.3.0 pypi_0 pypi pydicom-seg 0.4.0 pypi_0 pypi pyjwt 2.7.0 pypi_0 pypi pynetdicom 2.0.2 pypi_0 pypi pynrrd 0.4.3 pypi_0 pypi pyopenssl 23.0.0 py310haa95532_0 pyparsing 3.0.9 pypi_0 pypi pyrsistent 0.19.3 pypi_0 pypi pysocks 1.7.1 py310haa95532_0 python 3.10.11 h966fe2a_2 python-dateutil 2.8.2 pypi_0 pypi python-dotenv 0.20.0 pypi_0 pypi python-jose 3.3.0 pypi_0 pypi python-multipart 0.0.5 pypi_0 pypi pytorch 2.0.0 py3.10_cuda11.8_cudnn8_0 pytorch pytorch-cuda 11.8 h24eeafa_5 pytorch pytorch-ignite 0.4.10 pypi_0 pypi pytorch-mutex 1.0 cuda pytorch pytz 2023.3 pypi_0 pypi pywavelets 1.4.1 pypi_0 pypi pywin32 306 pypi_0 pypi pyyaml 6.0 pypi_0 pypi querystring-parser 1.2.4 pypi_0 pypi requests 2.28.1 pypi_0 pypi requests-oauthlib 1.3.1 pypi_0 pypi requests-toolbelt 0.9.1 pypi_0 pypi retrying 1.3.4 pypi_0 pypi rfc3986 1.5.0 pypi_0 pypi rsa 4.9 pypi_0 pypi schedule 1.1.0 pypi_0 pypi scikit-image 0.20.0 pypi_0 pypi scikit-learn 1.2.2 pypi_0 pypi scipy 1.10.1 pypi_0 pypi setuptools 66.0.0 py310haa95532_0 shapely 1.8.2 pypi_0 pypi simpleitk 2.2.1 pypi_0 pypi six 1.16.0 pypi_0 pypi smmap 5.0.0 pypi_0 pypi sniffio 1.3.0 pypi_0 pypi sortedcontainers 2.4.0 pypi_0 pypi soupsieve 2.4.1 pypi_0 pypi sqlalchemy 2.0.13 pypi_0 pypi sqlite 3.41.2 h2bbff1b_0 sqlparse 0.4.4 pypi_0 pypi starlette 0.19.1 pypi_0 pypi sympy 1.11.1 py310haa95532_0 tabulate 0.9.0 pypi_0 pypi tbb 2021.8.0 h59b6b97_0 tensorboard 2.13.0 pypi_0 pypi tensorboard-data-server 0.7.0 pypi_0 pypi termcolor 2.3.0 pypi_0 pypi threadpoolctl 3.1.0 pypi_0 pypi tifffile 2023.4.12 pypi_0 pypi timeloop 1.0.2 pypi_0 pypi tk 8.6.12 h2bbff1b_0 torch 1.13.1 pypi_0 pypi torchaudio 2.0.0 pypi_0 pypi torchvision 0.14.1 pypi_0 pypi tqdm 4.65.0 pypi_0 pypi typing_extensions 4.5.0 py310haa95532_0 tzdata 2023.3 pypi_0 pypi urllib3 1.26.15 py310haa95532_0 uvicorn 0.17.6 pypi_0 pypi vc 14.2 h21ff451_1 vs2015_runtime 14.27.29016 h5e58377_2 waitress 2.1.2 pypi_0 pypi watchdog 2.1.8 pypi_0 pypi websocket-client 1.5.1 pypi_0 pypi werkzeug 2.3.4 pypi_0 pypi wheel 0.38.4 py310haa95532_0 win_inet_pton 1.1.0 py310haa95532_0 xz 5.4.2 h8cc25b3_0 zipp 3.15.0 pypi_0 pypi zlib 1.2.13 h8cc25b3_0 zstd 1.5.5 hd43e919_0