search

yuanyuan-qwq / TomaTrac

The TomaTrac project, a groundbreaking mobile app in precision agriculture, utilizes advanced AI techniques such as CNN, NLP, Fuzzy Logic, and YOLO for disease recognition, growth stage classification, and comprehensive tomato plant management.
8 stars 2 forks source link

TypeError: ('Keyword argument not understood:', 'crop_to_aspect_ratio') in TensorFlow 2.5.0 #1

Open junshengchen opened 2 months ago

junshengchen commented 2 months ago

TensorFlow version 2.5.0 does not support the crop_to_aspect_ratio parameter. Could you please provide your latest requirements.txt file? TypeError: ('Keyword argument not understood:', 'crop_to_aspect_ratio')

yuanyuan-qwq commented 2 months ago

can i know your Python version

yuanyuan-qwq commented 2 months ago

or you can try using conda to match the version another version

or try this

tensorflow>=2.6.0 numpy>=1.19.5 pandas>=1.3.3 matplotlib>=3.4.3 scipy>=1.7.1 scikit-learn>=0.24.2 h5py>=3.1.0 Pillow>=8.3.2

junshengchen commented 2 months ago

My Python version is 3.8. I attempted to upgrade to tensorflow==2.11.0 yesterday, but it produced an error related to an unmatched fn parameter. [nltk_data] Package wordnet is already up-to-date! 2024-08-17 17:16:13.863870: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. Traceback (most recent call last): File "myapi.py", line 52, in <module> CNN_MODEL = tf.keras.models.load_model("CNN\\tomato12v3.h5") File "D:\Anaconda\envs\wangs\lib\site-packages\keras\utils\traceback_utils.py", line 70, in error_handler raise e.with_traceback(filtered_tb) from None File "D:\Anaconda\envs\wangs\lib\site-packages\keras\losses.py", line 315, in from_config return cls(**config) TypeError: __init__() got an unexpected keyword argument 'fn'

junshengchen commented 2 months ago

or you can try using conda to match the version another version

or try this

tensorflow>=2.6.0 numpy>=1.19.5 pandas>=1.3.3 matplotlib>=3.4.3 scipy>=1.7.1 scikit-learn>=0.24.2 h5py>=3.1.0 Pillow>=8.3.2

I tried using TensorFlow==2.6.0, but it throws an exception:raise ValueError: Unknown optimizer: Custom>Adam. Please ensure this object is passed to the custom_objects argument. See https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details Is Custom>Adam a custom optimizer that you defined?

junshengchen commented 2 months ago

@yuanyuan-qwq Or would you be willing to provide Docker？

yuanyuan-qwq commented 2 months ago

absl-py==1.4.0 afinn==0.1 aiohttp==3.9.0 aiosignal==1.3.1 anyio==3.7.1 argon2-cffi==21.3.0 argon2-cffi-bindings==21.2.0 arrow==1.2.3 asttokens==2.2.1 astunparse==1.6.3 async-lru==2.0.4 attrs==23.1.0 Babel==2.12.1 backcall==0.2.0 bbox-visualizer==0.1.0 beautifulsoup4==4.12.2 bleach==6.0.0 blinker==1.6.3 blis==0.7.11 cachetools==5.3.1 catalogue==2.0.10 certifi==2023.7.22 cffi==1.15.1 charset-normalizer==3.2.0 click==8.1.6 cloudpathlib==0.16.0 colorama==0.4.6 comm==0.1.3 confection==0.1.4 contourpy==1.1.0 cycler==0.11.0 cymem==2.0.8 debugpy==1.6.7 decorator==5.1.1 defusedxml==0.7.1 distlib==0.3.7 distro==1.8.0 dm-tree==0.1.8 emoji==2.9.0 en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl#sha256=86cc141f63942d4b2c5fcee06630fd6f904788d2f0ab005cce45aadb8fb73889 et-xmlfile==1.1.0 executing==1.2.0 fastapi==0.104.0 fastjsonschema==2.18.0 filelock==3.12.4 Flask==3.0.0 Flask-MySQLdb==2.0.0 flatbuffers==23.5.26 fonttools==4.41.1 fqdn==1.5.1 frozenlist==1.4.0 fsspec==2023.10.0 fuzzy-c-means==1.7.0 gast==0.4.0 gensim==4.3.2 gitdb==4.0.11 GitPython==3.1.40 google-auth==2.22.0 google-auth-oauthlib==1.0.0 google-pasta==0.2.0 grpcio==1.56.2 h11==0.14.0 h5py==3.9.0 httpcore==1.0.2 httptools==0.6.1 httpx==0.25.2 huggingface-hub==0.19.4 idna==3.4 imbalanced-learn==0.11.0 install==1.3.5 ipykernel==6.25.0 ipython==8.14.0 ipython-genutils==0.2.0 ipywidgets==8.1.0 isoduration==20.11.0 itsdangerous==2.1.2 jedi==0.19.0 Jinja2==3.1.2 joblib==1.3.1 json5==0.9.14 jsonpointer==2.4 jsonschema==4.18.4 jsonschema-specifications==2023.7.1 jupyter==1.0.0 jupyter-bbox-widget==0.5.0 jupyter-console==6.6.3 jupyter-events==0.7.0 jupyter-lsp==2.2.0 jupyter_client==8.3.0 jupyter_core==5.3.1 jupyter_server==2.7.0 jupyter_server_terminals==0.4.4 jupyterlab==4.0.3 jupyterlab-pygments==0.2.2 jupyterlab-widgets==3.0.8 jupyterlab_server==2.24.0 keras==2.15.0 kiwisolver==1.4.4 langcodes==3.3.0 libclang==16.0.6 lxml==5.0.0 Markdown==3.4.4 MarkupSafe==2.1.3 matplotlib==3.7.2 matplotlib-inline==0.1.6 mistune==3.0.1 ml-dtypes==0.2.0 mock==5.1.0 mpmath==1.3.0 multidict==6.0.4 murmurhash==1.0.10 mysqlclient==2.2.0 nbclient==0.8.0 nbconvert==7.7.3 nbformat==5.9.2 nest-asyncio==1.5.7 networkx==3.2.1 nltk==3.8.1 notebook==7.0.1 notebook_shim==0.2.3 numpy==1.24.3 oauthlib==3.2.2 onnx==1.15.0 openai==0.28.0 opencv-python==4.8.1.78 openpyxl==3.1.2 opt-einsum==3.3.0 overrides==7.3.1 packaging==23.1 pandas==2.0.3 pandocfilters==1.5.0 parso==0.8.3 pickleshare==0.7.5 pillow==10.4.0 platformdirs==3.10.0 preshed==3.0.9 prometheus-client==0.17.1 prompt-toolkit==3.0.39 protobuf==3.20.3 psutil==5.9.5 pure-eval==0.2.2 py-cpuinfo==9.0.0 pyasn1==0.5.0 pyasn1-modules==0.3.0 pycparser==2.21 pydantic==1.10.12 Pygments==2.15.1 pylabel==0.1.55 pynput==1.7.6 pyparsing==3.0.9 PyQt5==5.15.10 PyQt5-Qt5==5.15.2 PyQt5-sip==12.13.0 python-dateutil==2.8.2 python-dotenv==1.0.0 python-json-logger==2.0.7 python-multipart==0.0.6 pytz==2023.3 pywinpty==2.0.11 PyYAML==6.0.1 pyzmq==25.1.0 qtconsole==5.4.3 QtPy==2.3.1 referencing==0.30.0 regex==2023.10.3 requests==2.32.3 requests-oauthlib==1.3.1 rfc3339-validator==0.1.4 rfc3986-validator==0.1.1 rpds-py==0.9.2 rsa==4.9 safetensors==0.4.0 scikit-learn==1.3.0 scipy==1.11.1 seaborn==0.12.2 Send2Trash==1.8.2 six==1.16.0 smart-open==6.4.0 smmap==5.0.1 sniffio==1.3.0 soupsieve==2.4.1 spacy==3.7.2 spacy-legacy==3.0.12 spacy-loggers==1.0.5 srsly==2.4.8 stack-data==0.6.2 starlette==0.27.0 sympy==1.12 tabulate==0.8.10 tensorboard==2.15.2 tensorboard-data-server==0.7.1 tensorflow==2.15.0 tensorflow-estimator==2.15.0 tensorflow-hub==0.14.0 tensorflow-intel==2.15.0 tensorflow-io-gcs-filesystem==0.31.0 tensorflow-model-optimization==0.7.5 tensorflow-recommenders==0.7.3 tensorflow-serving-api==2.5.0 termcolor==2.3.0 terminado==0.17.1 text2emotion==0.0.5 tf2onnx==1.15.1 thinc==8.2.2 thop==0.1.1.post2209072238 threadpoolctl==3.2.0 tinycss2==1.2.1 tokenizers==0.15.0 torch==2.1.1 torchvision==0.16.1 tornado==6.3.2 tqdm==4.65.0 traitlets==5.9.0 transformers==4.35.2 typer==0.4.2 typing_extensions==4.8.0 tzdata==2023.3 ultralytics==8.2.79 ultralytics-thop==2.0.5 uri-template==1.3.0 urllib3==1.26.16 utils==1.0.1 uvicorn==0.23.2 vaderSentiment==3.3.2 virtualenv==20.24.5 wasabi==1.1.2 watchfiles==0.21.0 wcwidth==0.2.6 weasel==0.3.4 webcolors==1.13 webencodings==0.5.1 websocket-client==1.6.1 websockets==12.0 Werkzeug==3.0.0 widgetsnbextension==4.0.8 wordcloud==1.9.2 wrapt==1.14.1 yarl==1.9.3

this is my full package