[BUG]: ValueError: The layer sequential has never been called and thus has no defined input. #1331
Comments
|
Reproducible example is not a code related to deepface? |
|
Hi serengil, Sorry for the mistake. Here is example. DeepFace.represent(os.path.join(person_dir, img_name),
model_name='VGG-Face',
detector_backend='yolov8',
enforce_detection=True,
align=True) |
|
What is the exact line you removed? Source code is different than pip version. Most probably, tf version causes this. You may consider to downgrade. |
|
line 154 ( base_model_output = Sequential() |
|
seems we really don't need sequantial line, will try to delete it from source code. |
|
Thanks, I am closing the issue now. |
|
Please set its status to open, I won't forget to fix it |
|
I also have this issue, the commenting out workaround gives me a different error about Here is output from IDLE session: Error before commenting out line 152Error after commenting out line 152What version of tf should I downgrade to in order to use VGG-Face ? |
|
Same error as for @baudneo. |
|
Same issue here. |
|
I am running tf 2.9 in my local and it is working fine On the other hand, this issue is still open. So, this will be sorted for all versions soon. |
Before You Report a Bug, Please Confirm You Have Done The Following...
DeepFace's version
v0.0.93
Python version
Python 3.10.12
Operating System
google colab
Dependencies
absl-py==1.4.0
accelerate==0.32.1
aiohappyeyeballs==2.4.0
aiohttp==3.10.5
aiosignal==1.3.1
alabaster==0.7.16
albucore==0.0.13
albumentations==1.4.14
altair==4.2.2
annotated-types==0.7.0
anyio==3.7.1
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
array_record==0.5.1
arviz==0.18.0
asn1crypto==1.5.1
astropy==6.1.2
astropy-iers-data==0.2024.8.26.0.31.57
astunparse==1.6.3
async-timeout==4.0.3
atpublic==4.1.0
attrs==24.2.0
audioread==3.0.1
autograd==1.7.0
babel==2.16.0
backcall==0.2.0
beautifulsoup4==4.12.3
bidict==0.23.1
bigframes==1.15.0
bigquery-magics==0.1.1
bleach==6.1.0
blinker==1.4
blis==0.7.11
blosc2==2.0.0
bokeh==3.4.3
bqplot==0.12.43
branca==0.7.2
Brotli==1.1.0
build==1.2.1
CacheControl==0.14.0
cachetools==5.5.0
catalogue==2.0.10
certifi==2024.7.4
cffi==1.17.0
chardet==5.2.0
charset-normalizer==3.3.2
chex==0.1.86
clarabel==0.9.0
click==8.1.7
click-plugins==1.1.1
cligj==0.7.2
cloudpathlib==0.18.1
cloudpickle==2.2.1
cmake==3.30.2
cmdstanpy==1.2.4
colorcet==3.1.0
colorlover==0.3.0
colour==0.1.5
community==1.0.0b1
confection==0.1.5
cons==0.4.6
contextlib2==21.6.0
contourpy==1.2.1
cryptography==43.0.0
cuda-python==12.2.1
cudf-cu12 @ https://pypi.nvidia.com/cudf-cu12/cudf_cu12-24.4.1-cp310-cp310-manylinux_2_28_x86_64.whl#sha256=57366e7ef09dc63e0b389aff20df6c37d91e2790065861ee31a4720149f5b694
cufflinks==0.17.3
cupy-cuda12x==12.2.0
cvxopt==1.3.2
cvxpy==1.5.3
cycler==0.12.1
cymem==2.0.8
Cython==3.0.11
dask==2024.7.1
datascience==0.17.6
db-dtypes==1.3.0
dbus-python==1.2.18
debugpy==1.6.6
decorator==4.4.2
deepface==0.0.93
defusedxml==0.7.1
distributed==2024.7.1
distro==1.7.0
dlib==19.24.2
dm-tree==0.1.8
docstring_parser==0.16
docutils==0.18.1
dopamine_rl==4.0.9
duckdb==0.10.3
earthengine-api==0.1.417
easydict==1.13
ecos==2.0.14
editdistance==0.8.1
eerepr==0.0.4
einops==0.8.0
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
entrypoints==0.4
et-xmlfile==1.1.0
etils==1.7.0
etuples==0.3.9
eval_type_backport==0.2.0
exceptiongroup==1.2.2
fastai==2.7.16
fastcore==1.5.55
fastdownload==0.0.7
fastjsonschema==2.20.0
fastprogress==1.0.3
fastrlock==0.8.2
filelock==3.15.4
fiona==1.9.6
fire==0.6.0
firebase-admin==6.5.0
Flask==2.2.5
Flask-Cors==5.0.0
flatbuffers==24.3.25
flax==0.8.4
folium==0.17.0
fonttools==4.53.1
frozendict==2.4.4
frozenlist==1.4.1
fsspec==2024.6.1
future==1.0.0
gast==0.6.0
gcsfs==2024.6.1
GDAL==3.6.4
gdown==5.1.0
geemap==0.34.0
gensim==4.3.3
geocoder==1.38.1
geographiclib==2.0
geopandas==0.14.4
geopy==2.4.1
gin-config==0.5.0
glob2==0.7
google==2.0.3
google-ai-generativelanguage==0.6.6
google-api-core==2.19.1
google-api-python-client==2.137.0
google-auth==2.27.0
google-auth-httplib2==0.2.0
google-auth-oauthlib==1.2.1
google-cloud-aiplatform==1.63.0
google-cloud-bigquery==3.25.0
google-cloud-bigquery-connection==1.15.5
google-cloud-bigquery-storage==2.25.0
google-cloud-bigtable==2.26.0
google-cloud-core==2.4.1
google-cloud-datastore==2.19.0
google-cloud-firestore==2.16.1
google-cloud-functions==1.16.5
google-cloud-iam==2.15.2
google-cloud-language==2.13.4
google-cloud-pubsub==2.23.0
google-cloud-resource-manager==1.12.5
google-cloud-storage==2.8.0
google-cloud-translate==3.15.5
google-colab @ file:///colabtools/dist/google_colab-1.0.0.tar.gz#sha256=b067a3f6936f6e4f8e59ae657a9adc704c83ecf859c2e2754b1f97ef79be3aa9
google-crc32c==1.5.0
google-generativeai==0.7.2
google-pasta==0.2.0
google-resumable-media==2.7.2
googleapis-common-protos==1.64.0
googledrivedownloader==0.4
graphviz==0.20.3
greenlet==3.0.3
grpc-google-iam-v1==0.13.1
grpcio==1.64.1
grpcio-status==1.48.2
gspread==6.0.2
gspread-dataframe==3.3.1
gunicorn==23.0.0
gym==0.25.2
gym-notices==0.0.8
h5netcdf==1.3.0
h5py==3.11.0
holidays==0.55
holoviews==1.18.3
html5lib==1.1
httpimport==1.3.1
httplib2==0.22.0
huggingface-hub==0.23.5
humanize==4.10.0
hyperopt==0.2.7
ibis-framework==8.0.0
idna==3.8
imageio==2.34.2
imageio-ffmpeg==0.5.1
imagesize==1.4.1
imbalanced-learn==0.12.3
imgaug==0.4.0
immutabledict==4.2.0
importlib_metadata==8.4.0
importlib_resources==6.4.4
imutils==0.5.4
inflect==7.3.1
iniconfig==2.0.0
intel-cmplr-lib-ur==2024.2.1
intel-openmp==2024.2.1
ipyevents==2.0.2
ipyfilechooser==0.6.0
ipykernel==5.5.6
ipyleaflet==0.18.2
ipyparallel==8.8.0
ipython==7.34.0
ipython-genutils==0.2.0
ipython-sql==0.5.0
ipytree==0.2.2
ipywidgets==7.7.1
itsdangerous==2.2.0
jax==0.4.26
jaxlib @ https://storage.googleapis.com/jax-releases/cuda12/jaxlib-0.4.26+cuda12.cudnn89-cp310-cp310-manylinux2014_x86_64.whl#sha256=813cf1fe3e7ca4dbf5327d6e7b4fc8521e92d8bba073ee645ae0d5d036a25750
jeepney==0.7.1
jellyfish==1.1.0
jieba==0.42.1
Jinja2==3.1.4
joblib==1.4.2
jsonpickle==3.2.2
jsonschema==4.23.0
jsonschema-specifications==2023.12.1
jupyter-client==6.1.12
jupyter-console==6.1.0
jupyter-server==1.24.0
jupyter_core==5.7.2
jupyterlab_pygments==0.3.0
jupyterlab_widgets==3.0.13
kaggle==1.6.17
kagglehub==0.2.9
keras==3.4.1
keyring==23.5.0
kiwisolver==1.4.5
langcodes==3.4.0
language_data==1.2.0
launchpadlib==1.10.16
lazr.restfulclient==0.14.4
lazr.uri==1.0.6
lazy_loader==0.4
libclang==18.1.1
librosa==0.10.2.post1
lightgbm==4.4.0
linkify-it-py==2.0.3
llvmlite==0.43.0
locket==1.0.0
logical-unification==0.4.6
lxml==4.9.4
malloy==2024.1089
marisa-trie==1.2.0
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.7.1
matplotlib-inline==0.1.7
matplotlib-venn==0.11.10
mdit-py-plugins==0.4.1
mdurl==0.1.2
miniKanren==1.0.3
missingno==0.5.2
mistune==0.8.4
mizani==0.9.3
mkl==2024.2.1
ml-dtypes==0.4.0
mlxtend==0.23.1
more-itertools==10.3.0
moviepy==1.0.3
mpmath==1.3.0
msgpack==1.0.8
mtcnn==0.1.1
multidict==6.0.5
multipledispatch==1.0.0
multitasking==0.0.11
murmurhash==1.0.10
music21==9.1.0
mutagen==1.47.0
namex==0.0.8
natsort==8.4.0
nbclassic==1.1.0
nbclient==0.10.0
nbconvert==6.5.4
nbformat==5.10.4
nest-asyncio==1.6.0
networkx==3.3
nibabel==5.0.1
nltk==3.8.1
notebook==6.5.5
notebook_shim==0.2.4
numba==0.60.0
numexpr==2.10.1
numpy==1.26.4
nvidia-cublas-cu12==12.3.4.1
nvidia-cuda-cupti-cu12==12.3.101
nvidia-cuda-nvcc-cu12==12.3.107
nvidia-cuda-nvrtc-cu12==12.3.107
nvidia-cuda-runtime-cu12==12.3.101
nvidia-cudnn-cu12==8.9.7.29
nvidia-cufft-cu12==11.0.12.1
nvidia-curand-cu12==10.3.4.107
nvidia-cusolver-cu12==11.5.4.101
nvidia-cusparse-cu12==12.2.0.103
nvidia-nccl-cu12==2.19.3
nvidia-nvjitlink-cu12==12.3.101
nvtx==0.2.10
oauth2client==4.1.3
oauthlib==3.2.2
opencv-contrib-python==4.10.0.84
opencv-python==4.10.0.84
opencv-python-headless==4.10.0.84
openpyxl==3.1.5
opt-einsum==3.3.0
optax==0.2.2
optree==0.12.1
orbax-checkpoint==0.6.1
osqp==0.6.7.post0
packaging==24.1
pandas==2.1.4
pandas-datareader==0.10.0
pandas-gbq==0.23.1
pandas-stubs==2.1.4.231227
pandocfilters==1.5.1
panel==1.4.5
param==2.1.1
parso==0.8.4
parsy==2.1
partd==1.4.2
pathlib==1.0.1
patsy==0.5.6
peewee==3.17.6
pexpect==4.9.0
pickleshare==0.7.5
Pillow==9.4.0
pip-tools==7.4.1
platformdirs==4.2.2
plotly==5.15.0
plotnine==0.12.4
pluggy==1.5.0
polars==0.20.2
pooch==1.8.2
portpicker==1.5.2
prefetch_generator==1.0.3
preshed==3.0.9
prettytable==3.11.0
proglog==0.1.10
progressbar2==4.2.0
prometheus_client==0.20.0
promise==2.3
prompt_toolkit==3.0.47
prophet==1.1.5
proto-plus==1.24.0
protobuf==3.20.3
psutil==5.9.5
psycopg2==2.9.9
ptyprocess==0.7.0
py-cpuinfo==9.0.0
py4j==0.10.9.7
pyarrow==14.0.2
pyarrow-hotfix==0.6
pyasn1==0.6.0
pyasn1_modules==0.4.0
pycocotools==2.0.8
pycparser==2.22
pycryptodomex==3.20.0
pydantic==2.8.2
pydantic_core==2.20.1
pydata-google-auth==1.8.2
pydot==1.4.2
pydot-ng==2.0.0
pydotplus==2.0.2
PyDrive==1.3.1
PyDrive2==1.6.3
pyerfa==2.0.1.4
pygame==2.6.0
Pygments==2.16.1
PyGObject==3.42.1
PyJWT==2.9.0
pymc==5.10.4
pymystem3==0.2.0
pynvjitlink-cu12==0.3.0
PyOpenGL==3.1.7
pyOpenSSL==24.2.1
pyparsing==3.1.4
pyperclip==1.9.0
pyproj==3.6.1
pyproject_hooks==1.1.0
pyshp==2.3.1
PySocks==1.7.1
pytensor==2.18.6
pytest==7.4.4
python-apt==2.4.0
python-box==7.2.0
python-dateutil==2.8.2
python-louvain==0.16
python-slugify==8.0.4
python-utils==3.8.2
pytz==2024.1
pyviz_comms==3.0.3
PyYAML==6.0.2
pyzmq==24.0.1
qdldl==0.1.7.post4
ratelim==0.1.6
referencing==0.35.1
regex==2024.5.15
requests==2.32.3
requests-oauthlib==1.3.1
requirements-parser==0.9.0
retina-face==0.0.17
rich==13.8.0
rmm-cu12==24.4.0
rpds-py==0.20.0
rpy2==3.4.2
rsa==4.9
safetensors==0.4.4
scikit-image==0.23.2
scikit-learn==1.3.2
scipy==1.13.1
scooby==0.10.0
scs==3.2.7
seaborn==0.13.1
SecretStorage==3.3.1
Send2Trash==1.8.3
sentencepiece==0.1.99
shapely==2.0.6
shellingham==1.5.4
simple_parsing==0.1.5
six==1.16.0
sklearn-pandas==2.2.0
smart-open==7.0.4
sniffio==1.3.1
snowballstemmer==2.2.0
snowflake-connector-python==3.12.1
sortedcontainers==2.4.0
soundfile==0.12.1
soupsieve==2.6
soxr==0.5.0
spacy==3.7.6
spacy-legacy==3.0.12
spacy-loggers==1.0.5
Sphinx==5.0.2
sphinxcontrib-applehelp==2.0.0
sphinxcontrib-devhelp==2.0.0
sphinxcontrib-htmlhelp==2.1.0
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-qthelp==2.0.0
sphinxcontrib-serializinghtml==2.0.0
SQLAlchemy==2.0.32
sqlglot==20.11.0
sqlparse==0.5.1
srsly==2.4.8
stanio==0.5.1
statsmodels==0.14.2
StrEnum==0.4.15
sympy==1.13.2
tables==3.8.0
tabulate==0.9.0
tbb==2021.13.1
tblib==3.0.0
tenacity==9.0.0
tensorboard==2.17.0
tensorboard-data-server==0.7.2
tensorflow==2.17.0
tensorflow-datasets==4.9.6
tensorflow-hub==0.16.1
tensorflow-io-gcs-filesystem==0.37.1
tensorflow-metadata==1.15.0
tensorflow-probability==0.24.0
tensorstore==0.1.64
termcolor==2.4.0
terminado==0.18.1
text-unidecode==1.3
textblob==0.17.1
tf-slim==1.1.0
tf_keras==2.17.0
thinc==8.2.5
threadpoolctl==3.5.0
tifffile==2024.8.24
tinycss2==1.3.0
tokenizers==0.19.1
toml==0.10.2
tomli==2.0.1
tomlkit==0.13.2
toolz==0.12.1
torch @ https://download.pytorch.org/whl/cu121_full/torch-2.4.0%2Bcu121-cp310-cp310-linux_x86_64.whl#sha256=6f3aabcec8b7728943d22bec2d8017b1bd2d69cd903eefb7dd3a373e4f779c40
torchaudio @ https://download.pytorch.org/whl/cu121_full/torchaudio-2.4.0%2Bcu121-cp310-cp310-linux_x86_64.whl#sha256=8bc4c22a701f4567a15cc98ff48c392147583b9ec4157d147025f297bf305acc
torchsummary==1.5.1
torchvision @ https://download.pytorch.org/whl/cu121_full/torchvision-0.19.0%2Bcu121-cp310-cp310-linux_x86_64.whl#sha256=53c7ee4a98c8464ec964a6ab3804f5925b19bac698ef728f148bffebe27a9081
tornado==6.3.3
tqdm==4.66.5
traitlets==5.7.1
traittypes==0.2.1
transformers==4.42.4
tweepy==4.14.0
typeguard==4.3.0
typer==0.12.5
types-pytz==2024.1.0.20240417
types-setuptools==73.0.0.20240822
typing_extensions==4.12.2
tzdata==2024.1
tzlocal==5.2
uc-micro-py==1.0.3
ultralytics==8.2.85
ultralytics-thop==2.0.6
uritemplate==4.1.1
urllib3==2.0.7
vega-datasets==0.9.0
wadllib==1.3.6
wasabi==1.1.3
wcwidth==0.2.13
weasel==0.4.1
webcolors==24.8.0
webencodings==0.5.1
websocket-client==1.8.0
websockets==13.0.1
Werkzeug==3.0.4
widgetsnbextension==3.6.8
wordcloud==1.9.3
wrapt==1.16.0
xarray==2024.6.0
xarray-einstats==0.7.0
xgboost==2.1.1
xlrd==2.0.1
xyzservices==2024.6.0
yarl==1.9.4
yellowbrick==1.5
yfinance==0.2.43
yt-dlp==2024.8.6
zict==3.0.0
zipp==3.20.1
Reproducible example
Relevant Log Output
ValueError Traceback (most recent call last)
in <cell line: 2>()
1 face_module = FaceModules(detector_name='yolov8', model_name='VGG-Face')
----> 2 embeddings = face_module.embed_faces('face_db')
3 print(len(embeddings))
8 frames
in embed_faces(self, face_db_path)
65 person_dir = os.path.join(face_db_path, person_name)
66 if os.path.isdir(person_dir):
---> 67 embeddings[person_name] = [
68 DeepFace.represent(os.path.join(person_dir, img_name),
69 model_name=self.model_name,
in (.0)
66 if os.path.isdir(person_dir):
67 embeddings[person_name] = [
---> 68 DeepFace.represent(os.path.join(person_dir, img_name),
69 model_name=self.model_name,
70 detector_backend=self.detector_name,
/usr/local/lib/python3.10/dist-packages/deepface/DeepFace.py in represent(img_path, model_name, enforce_detection, detector_backend, align, expand_percentage, normalization, anti_spoofing, max_faces)
416 to 'skip', the confidence will be 0 and is nonsensical.
417 """
--> 418 return representation.represent(
419 img_path=img_path,
420 model_name=model_name,
/usr/local/lib/python3.10/dist-packages/deepface/modules/representation.py in represent(img_path, model_name, enforce_detection, detector_backend, align, expand_percentage, normalization, anti_spoofing, max_faces)
66 resp_objs = []
67
---> 68 model: FacialRecognition = modeling.build_model(
69 task="facial_recognition", model_name=model_name
70 )
/usr/local/lib/python3.10/dist-packages/deepface/modules/modeling.py in build_model(task, model_name)
94 model = models[task].get(model_name)
95 if model:
---> 96 cached_models[task][model_name] = model()
97 else:
98 raise ValueError(f"Invalid model_name passed - {task}/{model_name}")
/usr/local/lib/python3.10/dist-packages/deepface/models/facial_recognition/VGGFace.py in init(self)
43
44 def init(self):
---> 45 self.model = load_model()
46 self.model_name = "VGG-Face"
47 self.input_shape = (224, 224)
/usr/local/lib/python3.10/dist-packages/deepface/models/facial_recognition/VGGFace.py in load_model(url)
156 # base_model_output
157 # )
--> 158 vgg_face_descriptor = Model(inputs=model.input, outputs=base_model_output)
159
160 return vgg_face_descriptor
/usr/local/lib/python3.10/dist-packages/keras/src/ops/operation.py in input(self)
252 Input tensor or list of input tensors.
253 """
--> 254 return self._get_node_attribute_at_index(0, "input_tensors", "input")
255
256 @Property
/usr/local/lib/python3.10/dist-packages/keras/src/ops/operation.py in _get_node_attribute_at_index(self, node_index, attr, attr_name)
283 """
284 if not self._inbound_nodes:
--> 285 raise ValueError(
286 f"The layer {self.name} has never been called "
287 f"and thus has no defined {attr_name}."
ValueError: The layer sequential has never been called and thus has no defined input.
Expected Result
No response
What happened instead?
No response
Additional Info
It started working for me after I commented out line 152 in the VGGFace.py file. However, I have to do this repeatedly every time I install the library in my Colab notebook.
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