Comments (15)
from fer.
Oh, yet another problem.
3. When using detector.top_emotion(frame)
there is a chance that there won't be any face detected and you'll receive an error
IndexError: list index out of range
on the line top_emotion = top_emotions[0]
in the file fer.py. Probably, you should add some sort of 'if' here?
from fer.
Thank you, first off, for the suggestions!
The first issue is related to ipazc/mtcnn#114, which FER depends on. Try locking tensorflow to 2.4.1 and keras to 2.4.3 or this proposed solution: https://stackoverflow.com/a/67797729/6256888.
Regarding the second issue and third issues - good find! These have been fixed in v21.0.1. Please upgrade with pip install -U fer
.
from fer.
Upgraded fer. THanks
ABout first issue. I've downgraded tf to 2.4.1 (keras already is 2.4.3). Now i've got error
Traceback (most recent call last):
File "/home/daddywesker/EmotionRecognition/FER/testing_fer.py", line 9, in <module>
detector = FER(mtcnn=True)
File "/home/daddywesker/anaconda3/envs/fer/lib/python3.7/site-packages/fer/fer.py", line 98, in __init__
from mtcnn.mtcnn import MTCNN
File "/home/daddywesker/anaconda3/envs/fer/lib/python3.7/site-packages/mtcnn/__init__.py", line 26, in <module>
from mtcnn.mtcnn import MTCNN
File "/home/daddywesker/anaconda3/envs/fer/lib/python3.7/site-packages/mtcnn/mtcnn.py", line 37, in <module>
from mtcnn.network.factory import NetworkFactory
File "/home/daddywesker/anaconda3/envs/fer/lib/python3.7/site-packages/mtcnn/network/factory.py", line 26, in <module>
from keras.layers import Input, Dense, Conv2D, MaxPooling2D, PReLU, Flatten, Softmax
File "/home/daddywesker/anaconda3/envs/fer/lib/python3.7/site-packages/keras/__init__.py", line 20, in <module>
from . import initializers
File "/home/daddywesker/anaconda3/envs/fer/lib/python3.7/site-packages/keras/initializers/__init__.py", line 124, in <module>
populate_deserializable_objects()
File "/home/daddywesker/anaconda3/envs/fer/lib/python3.7/site-packages/keras/initializers/__init__.py", line 49, in populate_deserializable_objects
LOCAL.GENERATED_WITH_V2 = tf.__internal__.tf2.enabled()
AttributeError: module 'tensorflow.compat.v2.__internal__' has no attribute 'tf2'
Process finished with exit code 1
from fer.
Can you report back if pip install tensorflow-estimator==2.1.0
fixes it? It appears related to tensorflow/tensorflow#37525.
from fer.
Well, i guess it wants me to further downgrade tensorflow?
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow 2.4.1 requires tensorflow-estimator<2.5.0,>=2.4.0, but you have tensorflow-estimator 2.1.0 which is incompatible.
tensorflow-gpu 2.4.1 requires tensorflow-estimator<2.5.0,>=2.4.0, but you have tensorflow-estimator 2.1.0 which is incompatible.
from fer.
Otherwise trying this? https://exerror.com/module-tensorflow-compat-v2-internal-has-no-attribute-tf2/
from fer.
Well, here is the problem.
What the suggest
!pip install -U -q segmentation-models
!pip install -q tensorflow==2.1
!pip install -q keras==2.3.1
!pip install -q tensorflow-estimator==2.1.
PRoblem -
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
fer 21.0.1 requires keras==2.4.3, but you have keras 2.3.1 which is incompatible.
DOwngrading fer will return me to the the issues 2-3 =)
from fer.
Hi all,
@JustinShenk Could you perhaps run pip freeze whichever machine you're running it on and post that along with which CUDA version, OS specs you have. I suspect it has something to do with the CUDA version and not the tensorflow version so much because I've noticed a lot of people are struggling with this now and I think it might be due to CUDA updates.
I want to get the information for a system that you're running and try recreate it because it was working fine end of last year with the GPU, but now I can't get it to work either. I can detect my GPU fine and fer runs fine, it just cannot detect the GPU, so it's always using the CPU.
from fer.
Hey guys, some of these errors should have been fixed in the newly released mtcnn v0.1.1, now required in fer v21.0.2. This mtcnn version replaced all keras calls with tensorflow. Please pip install -U fer and let me know it goes.
@linguist89, I don't have a GPU in my computer unfortunately, so if you can't get the issue to show in a colab notebook, then hopefully others can help debug it.
from fer.
https://colab.research.google.com/github/justinshenk/fer/blob/master/fer-video-demo.ipynb
absl-py==0.12.0
alabaster==0.7.12
albumentations==0.1.12
altair==4.1.0
appdirs==1.4.4
argon2-cffi==20.1.0
arviz==0.11.2
astor==0.8.1
astropy==4.2.1
astunparse==1.6.3
async-generator==1.10
atari-py==0.2.9
atomicwrites==1.4.0
attrs==21.2.0
audioread==2.1.9
autograd==1.3
Babel==2.9.1
backcall==0.2.0
beautifulsoup4==4.6.3
bleach==3.3.0
blis==0.4.1
bokeh==2.3.2
Bottleneck==1.3.2
branca==0.4.2
bs4==0.0.1
CacheControl==0.12.6
cached-property==1.5.2
cachetools==4.2.2
catalogue==1.0.0
certifi==2021.5.30
cffi==1.14.5
cftime==1.5.0
chardet==3.0.4
click==7.1.2
cloudpickle==1.3.0
cmake==3.12.0
cmdstanpy==0.9.5
colorcet==2.0.6
colorlover==0.3.0
community==1.0.0b1
contextlib2==0.5.5
convertdate==2.3.2
coverage==3.7.1
coveralls==0.5
crcmod==1.7
cufflinks==0.17.3
cupy-cuda101==9.1.0
cvxopt==1.2.6
cvxpy==1.0.31
cycler==0.10.0
cymem==2.0.5
Cython==0.29.23
daft==0.0.4
dask==2.12.0
datascience==0.10.6
debugpy==1.0.0
decorator==4.4.2
defusedxml==0.7.1
descartes==1.1.0
dill==0.3.4
distributed==1.25.3
dlib==19.18.0
dm-tree==0.1.6
docopt==0.6.2
docutils==0.17.1
dopamine-rl==1.0.5
earthengine-api==0.1.272
easydict==1.9
ecos==2.0.7.post1
editdistance==0.5.3
en-core-web-sm==2.2.5
entrypoints==0.3
ephem==4.0.0.2
et-xmlfile==1.1.0
fa2==0.3.5
fastai==1.0.61
fastdtw==0.3.4
fastprogress==1.0.0
fastrlock==0.6
fbprophet==0.7.1
feather-format==0.4.1
fer==21.0.2
filelock==3.0.12
firebase-admin==4.4.0
fix-yahoo-finance==0.0.22
Flask==1.1.4
flatbuffers==1.12
folium==0.8.3
future==0.16.0
gast==0.4.0
GDAL==2.2.2
gdown==3.6.4
gensim==3.6.0
geographiclib==1.52
geopy==1.17.0
gin-config==0.4.0
glob2==0.7
google==2.0.3
google-api-core==1.26.3
google-api-python-client==1.12.8
google-auth==1.32.1
google-auth-httplib2==0.0.4
google-auth-oauthlib==0.4.4
google-cloud-bigquery==1.21.0
google-cloud-bigquery-storage==1.1.0
google-cloud-core==1.0.3
google-cloud-datastore==1.8.0
google-cloud-firestore==1.7.0
google-cloud-language==1.2.0
google-cloud-storage==1.18.1
google-cloud-translate==1.5.0
google-colab==1.0.0
google-pasta==0.2.0
google-resumable-media==0.4.1
googleapis-common-protos==1.53.0
googledrivedownloader==0.4
graphviz==0.10.1
greenlet==1.1.0
grpcio==1.34.1
gspread==3.0.1
gspread-dataframe==3.0.8
gym==0.17.3
h5py==3.1.0
HeapDict==1.0.1
hijri-converter==2.1.3
holidays==0.10.5.2
holoviews==1.14.4
html5lib==1.0.1
httpimport==0.5.18
httplib2==0.17.4
httplib2shim==0.0.3
humanize==0.5.1
hyperopt==0.1.2
ideep4py==2.0.0.post3
idna==2.10
imageio==2.4.1
imagesize==1.2.0
imbalanced-learn==0.4.3
imblearn==0.0
imgaug==0.2.9
importlib-metadata==4.6.0
importlib-resources==5.2.0
imutils==0.5.4
inflect==2.1.0
iniconfig==1.1.1
install==1.3.4
intel-openmp==2021.3.0
intervaltree==2.1.0
ipykernel==4.10.1
ipython==5.5.0
ipython-genutils==0.2.0
ipython-sql==0.3.9
ipywidgets==7.6.3
itsdangerous==1.1.0
jax==0.2.13
jaxlib==0.1.66+cuda110
jdcal==1.4.1
jedi==0.18.0
jieba==0.42.1
Jinja2==2.11.3
joblib==1.0.1
jpeg4py==0.1.4
jsonschema==2.6.0
jupyter==1.0.0
jupyter-client==5.3.5
jupyter-console==5.2.0
jupyter-core==4.7.1
jupyterlab-pygments==0.1.2
jupyterlab-widgets==1.0.0
kaggle==1.5.12
kapre==0.3.5
Keras==2.4.3
keras-nightly==2.5.0.dev2021032900
Keras-Preprocessing==1.1.2
keras-vis==0.4.1
kiwisolver==1.3.1
korean-lunar-calendar==0.2.1
librosa==0.8.1
lightgbm==2.2.3
llvmlite==0.34.0
lmdb==0.99
LunarCalendar==0.0.9
lxml==4.2.6
Markdown==3.3.4
MarkupSafe==2.0.1
matplotlib==3.2.2
matplotlib-inline==0.1.2
matplotlib-venn==0.11.6
missingno==0.4.2
mistune==0.8.4
mizani==0.6.0
mkl==2019.0
mlxtend==0.14.0
more-itertools==8.8.0
moviepy==0.2.3.5
mpmath==1.2.1
msgpack==1.0.2
mtcnn==0.1.1
multiprocess==0.70.12.2
multitasking==0.0.9
murmurhash==1.0.5
music21==5.5.0
natsort==5.5.0
nbclient==0.5.3
nbconvert==5.6.1
nbformat==5.1.3
nest-asyncio==1.5.1
netCDF4==1.5.7
networkx==2.5.1
nibabel==3.0.2
nltk==3.2.5
notebook==5.3.1
numba==0.51.2
numexpr==2.7.3
numpy==1.19.5
nvidia-ml-py3==7.352.0
oauth2client==4.1.3
oauthlib==3.1.1
okgrade==0.4.3
opencv-contrib-python==4.1.2.30
opencv-python==4.1.2.30
openpyxl==2.5.9
opt-einsum==3.3.0
osqp==0.6.2.post0
packaging==20.9
palettable==3.3.0
pandas==1.1.5
pandas-datareader==0.9.0
pandas-gbq==0.13.3
pandas-profiling==1.4.1
pandocfilters==1.4.3
panel==0.11.3
param==1.10.1
parso==0.8.2
pathlib==1.0.1
patsy==0.5.1
pexpect==4.8.0
pickleshare==0.7.5
Pillow==7.1.2
pip-tools==4.5.1
plac==1.1.3
plotly==4.4.1
plotnine==0.6.0
pluggy==0.7.1
pooch==1.4.0
portpicker==1.3.9
prefetch-generator==1.0.1
preshed==3.0.5
prettytable==2.1.0
progressbar2==3.38.0
prometheus-client==0.11.0
promise==2.3
prompt-toolkit==1.0.18
protobuf==3.17.3
psutil==5.4.8
psycopg2==2.7.6.1
ptyprocess==0.7.0
py==1.10.0
pyarrow==3.0.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycocotools==2.0.2
pycparser==2.20
pyct==0.4.8
pydata-google-auth==1.2.0
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
pyglet==1.5.0
Pygments==2.6.1
pygobject==3.26.1
pymc3==3.11.2
PyMeeus==0.5.11
pymongo==3.11.4
pymystem3==0.2.0
PyOpenGL==3.1.5
pyparsing==2.4.7
pyrsistent==0.18.0
pysndfile==1.3.8
PySocks==1.7.1
pystan==2.19.1.1
pytest==3.6.4
python-apt==0.0.0
python-chess==0.23.11
python-dateutil==2.8.1
python-louvain==0.15
python-slugify==5.0.2
python-utils==2.5.6
pytz==2018.9
pyviz-comms==2.1.0
PyWavelets==1.1.1
PyYAML==3.13
pyzmq==22.1.0
qdldl==0.1.5.post0
qtconsole==5.1.1
QtPy==1.9.0
regex==2019.12.20
requests==2.23.0
requests-oauthlib==1.3.0
resampy==0.2.2
retrying==1.3.3
rpy2==3.4.5
rsa==4.7.2
scikit-image==0.16.2
scikit-learn==0.22.2.post1
scipy==1.4.1
screen-resolution-extra==0.0.0
scs==2.1.4
seaborn==0.11.1
semver==2.13.0
Send2Trash==1.7.1
setuptools-git==1.2
Shapely==1.7.1
simplegeneric==0.8.1
six==1.15.0
sklearn==0.0
sklearn-pandas==1.8.0
smart-open==5.1.0
snowballstemmer==2.1.0
sortedcontainers==2.4.0
SoundFile==0.10.3.post1
spacy==2.2.4
Sphinx==1.8.5
sphinxcontrib-serializinghtml==1.1.5
sphinxcontrib-websupport==1.2.4
SQLAlchemy==1.4.20
sqlparse==0.4.1
srsly==1.0.5
statsmodels==0.10.2
sympy==1.7.1
tables==3.4.4
tabulate==0.8.9
tblib==1.7.0
tensorboard==2.5.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow==2.5.0
tensorflow-datasets==4.0.1
tensorflow-estimator==2.5.0
tensorflow-gcs-config==2.5.0
tensorflow-hub==0.12.0
tensorflow-metadata==1.1.0
tensorflow-probability==0.13.0
termcolor==1.1.0
terminado==0.10.1
testpath==0.5.0
text-unidecode==1.3
textblob==0.15.3
Theano-PyMC==1.1.2
thinc==7.4.0
tifffile==2021.7.2
toml==0.10.2
toolz==0.11.1
torch==1.9.0+cu102
torchsummary==1.5.1
torchtext==0.10.0
torchvision==0.10.0+cu102
tornado==5.1.1
tqdm==4.41.1
traitlets==5.0.5
tweepy==3.10.0
typeguard==2.7.1
typing-extensions==3.7.4.3
tzlocal==1.5.1
uritemplate==3.0.1
urllib3==1.24.3
vega-datasets==0.9.0
wasabi==0.8.2
wcwidth==0.2.5
webencodings==0.5.1
Werkzeug==1.0.1
widgetsnbextension==3.5.1
wordcloud==1.5.0
wrapt==1.12.1
xarray==0.18.2
xgboost==0.90
xkit==0.0.0
xlrd==1.1.0
xlwt==1.3.0
yellowbrick==0.9.1
zict==2.0.0
zipp==3.4.1
nvcc --version
:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Wed_Jul_22_19:09:09_PDT_2020
Cuda compilation tools, release 11.0, V11.0.221
Build cuda_11.0_bu.TC445_37.28845127_0
!nvidia-smi
:
NVIDIA-SMI 470.42.01 Driver Version: 460.32.03 CUDA Version: 11.2
from fer.
Hey guys, some of these errors should have been fixed in the newly released mtcnn v0.1.1, now required in fer v21.0.2. This mtcnn version replaced all keras calls with tensorflow. Please pip install -U fer and let me know it goes.
Hello. I've updated mtcnn and fer and after that i'm getting this
Traceback (most recent call last):
File "/home/daddywesker/EmotionRecognition/FER/testing_fer.py", line 7, in <module>
detector = FER(mtcnn=True)
File "/home/daddywesker/anaconda3/envs/fer/lib/python3.7/site-packages/fer/fer.py", line 120, in __init__
self.__emotion_classifier = load_model(emotion_model, compile=compile)
File "/home/daddywesker/anaconda3/envs/fer/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/save.py", line 146, in load_model
return hdf5_format.load_model_from_hdf5(filepath, custom_objects, compile)
File "/home/daddywesker/anaconda3/envs/fer/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/hdf5_format.py", line 166, in load_model_from_hdf5
model_config = json.loads(model_config.decode('utf-8'))
AttributeError: 'str' object has no attribute 'decode'
Process finished with exit code 1
Deleting .decode('utf-8')
part helps but i'm editing keras code this way. And there are some more places with such a problem. DOn't know if my solution is right.
from fer.
The issue is caused by having h5py>=3.0.0
with older version TensorFlow (2.3 or below). TensorFlow 2.3 and below require h5py==2.10.0
. So either try pip install -U tensorflow
or
pip uninstall h5py
pip install h5py==2.10.0
I think this has been fixed in fer==21.0.3
. Please try uninstalling tensorflow and pip install -U fer
.
from fer.
It is weird, but i can't install fer 21.0.3, pip doesn't see such a version.
from fer.
Now it works. THanks.
from fer.
Related Issues (20)
- FER not working with GPU HOT 9
- collab broken? HOT 2
- Having trouble for importing the library HOT 1
- Padding only applied to first bounding box if needed HOT 3
- ValueError: Tensor Tensor("conv2d_4/BiasAdd:0", shape=(?, ?, ?, 4), dtype=float32) is not an element of this graph. HOT 1
- Analysis for specific time interval of the video HOT 3
- Improve Processing time per frame in video while testing HOT 1
- video cropping HOT 1
- GPU usage of emotion classification HOT 2
- trouble with Video() with webcam HOT 1
- Face selection heuristic HOT 1
- 'Model' object has no attribute 'make_predict_function' HOT 10
- How can I get the timestamp data additionally? HOT 1
- the model was able to detect faces but cannot make the right bounding boxes around the face HOT 2
- cannot predict from images in jfif format HOT 1
- Batch processing
- accuracy measurement HOT 1
- unable to import FER from fer HOT 3
- Accuracy and Confusion Matrix of FER
- Logger progress bar bug.
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from fer.