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Greate job! I got some errors when I run the elg_demo.py.
Traceback (most recent call last):
File "elg_demo.py", line 69, in
eye_image_shape=(36, 60))
File "/home/mihan/Desktop/GazeML-master/src/datasources/webcam.py", line 21, in init
super().init(**kwargs)
File "/home/mihan/Desktop/GazeML-master/src/datasources/frames.py", line 47, in init
shuffle=False, staging=staging, **kwargs)
File "/home/mihan/Desktop/GazeML-master/src/core/data_source.py", line 59, in init
labels, dtypes, shapes = self._determine_dtypes_and_shapes()
File "/home/mihan/Desktop/GazeML-master/src/core/data_source.py", line 194, in _determine_dtypes_and_shapes
raw_entry = next(self.entry_generator(yield_just_one=True))
File "/home/mihan/Desktop/GazeML-master/src/datasources/frames.py", line 106, in entry_generator
self.detect_landmarks(frame)
File "/home/mihan/Desktop/GazeML-master/src/datasources/frames.py", line 171, in detect_landmarks
predictor = get_landmarks_predictor()
File "/home/mihan/Desktop/GazeML-master/src/datasources/frames.py", line 371, in get_landmarks_predictor
_landmarks_predictor = dlib.shape_predictor(dat_path)
RuntimeError: Error deserializing object of type int
FATAL: exception not rethrown
Aborted (core dumped)
And the enviroment is:
OS: Ubuntu 16.04
GPU: GTX 1060
CPU: Intel(R) Core(TM) i3-4170 CPU @ 3.70GHz
Have similar issue before, in my case, it turns out that the two .dat files in GazeML/src/3rdparty/ are with 0 bytes. Issue resolved by re-downloading and extraction the counterpart from https://github.com/davisking/dlib-models.
Greate job! I got some errors when I run the elg_demo.py.
Traceback (most recent call last):
File "elg_demo.py", line 69, in
eye_image_shape=(36, 60))
File "/home/mihan/Desktop/GazeML-master/src/datasources/webcam.py", line 21, in init
super().init(**kwargs)
File "/home/mihan/Desktop/GazeML-master/src/datasources/frames.py", line 47, in init
shuffle=False, staging=staging, **kwargs)
File "/home/mihan/Desktop/GazeML-master/src/core/data_source.py", line 59, in init
labels, dtypes, shapes = self._determine_dtypes_and_shapes()
File "/home/mihan/Desktop/GazeML-master/src/core/data_source.py", line 194, in _determine_dtypes_and_shapes
raw_entry = next(self.entry_generator(yield_just_one=True))
File "/home/mihan/Desktop/GazeML-master/src/datasources/frames.py", line 106, in entry_generator
self.detect_landmarks(frame)
File "/home/mihan/Desktop/GazeML-master/src/datasources/frames.py", line 171, in detect_landmarks
predictor = get_landmarks_predictor()
File "/home/mihan/Desktop/GazeML-master/src/datasources/frames.py", line 371, in get_landmarks_predictor
_landmarks_predictor = dlib.shape_predictor(dat_path)
RuntimeError: Error deserializing object of type int
FATAL: exception not rethrown
Aborted (core dumped)
And the enviroment is:
OS: Ubuntu 16.04
GPU: GTX 1060
CPU: Intel(R) Core(TM) i3-4170 CPU @ 3.70GHz
_libgcc_mutex 0.1
absl-py 0.8.0
astor 0.8.0
ca-certificates 2019.5.15
certifi 2018.8.24
coloredlogs 10.0
dlib 19.17.0
gast 0.2.2
google-pasta 0.1.7
grpcio 1.23.0
h5py 2.9.0
humanfriendly 4.18
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.0
libedit 3.1.20181209
libffi 3.2.1
libgcc-ng 9.1.0
libstdcxx-ng 9.1.0
Markdown 3.1.1
ncurses 6.1
numpy 1.17.1
opencv-python 4.1.0.25
openssl 1.0.2s
pandas 0.25.1
pip 10.0.1
pip 19.2.3
protobuf 3.9.1
python 3.5.6
python-dateutil 2.8.0
pytz 2019.2
readline 7.0
scipy 1.3.1
setuptools 41.2.0
setuptools 40.2.0
six 1.12.0
sqlite 3.29.0
tensorboard 1.14.0
tensorflow-estimator 1.14.0rc1
tensorflow-gpu 1.14.0
termcolor 1.1.0
tk 8.6.8
ujson 1.35
Werkzeug 0.15.5
wheel 0.31.1
wrapt 1.11.1
xz 5.2.4
zlib 1.2.11
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