feat: Verify train and streaming are all workable

 # Installation
 # Installation
 
 
-<!-- 1. Create conda env -->
+> This setup is tested only in Apple Silicon(M1).
 
 
-   <!-- ```bash -->
-   <!-- ~$ conda env create --name {any_names_you_want} --file environment.yaml -->
-   <!-- ``` -->
+1. Create conda env
 
 
-<!-- 2. Activate conda env -->
+   ```bash
+   ~$ conda env create --name {any_names_you_want} --file environment.yaml
+   ```
 
 
-   <!-- ```bash -->
-   <!-- ~$ conda activate {any_names_you_want} -->
-   <!-- ``` -->
+2. Activate conda env
 
 
-<!-- 3. Install some packages manually -->
+   ```bash
+   ~$ conda activate {any_names_you_want}
+   ```
 
 
-   <!-- ```bash -->
-   <!-- ~$ pip install pygame -->
-   <!-- ``` -->
+3. Install some packages manually
+
+   ```bash
+   ~$ pip install -r requirements.txt
+   ```
 
 
 # Dataset
 # Dataset
 
 

+name: drowsiness_detector
+channels:
+  - apple
+  - defaults
+  - conda-forge
+dependencies:
+  - aom=3.3.0=h07bb92c_1
+  - appnope=0.1.2=py39hca03da5_1001
+  - asttokens=2.0.5=pyhd3eb1b0_0
+  - backcall=0.2.0=pyhd3eb1b0_0
+  - blas=2.114=openblas
+  - blas-devel=3.9.0=14_osxarm64_openblas
+  - brotli=1.0.7=hc377ac9_0
+  - bzip2=1.0.8=h620ffc9_4
+  - c-ares=1.18.1=h1a28f6b_0
+  - ca-certificates=2022.4.26=hca03da5_0
+  - cairo=1.16.0=h0ab239c_1
+  - certifi=2021.10.8=py39hca03da5_2
+  - cycler=0.11.0=pyhd3eb1b0_0
+  - debugpy=1.5.1=py39hc377ac9_0
+  - decorator=5.1.1=pyhd3eb1b0_0
+  - entrypoints=0.4=py39hca03da5_0
+  - executing=0.8.3=pyhd3eb1b0_0
+  - ffmpeg=4.4.1=heb85afd_3
+  - fontconfig=2.13.1=h1f4a5ec_0
+  - fonttools=4.25.0=pyhd3eb1b0_0
+  - freetype=2.11.0=h1192e45_0
+  - gettext=0.21.0=h826f4ad_0
+  - giflib=5.2.1=h1a28f6b_0
+  - glib=2.70.2=hccf11d3_4
+  - glib-tools=2.70.2=hccf11d3_4
+  - gmp=6.2.1=hc377ac9_0
+  - gnutls=3.6.15=h887c41c_0
+  - graphite2=1.3.14=h0e5e14a_0
+  - grpcio=1.42.0=py39h95c9599_0
+  - h5py=3.6.0=py39h7fe8675_0
+  - harfbuzz=4.2.1=hd36a07e_0
+  - hdf5=1.12.1=h5aa262f_1
+  - icu=70.1=h6b3803e_0
+  - ipykernel=6.9.1=py39hca03da5_0
+  - ipython=8.3.0=py39hca03da5_0
+  - jasper=2.0.33=hba35424_0
+  - jbig=2.1=h1a28f6b_0
+  - jedi=0.18.1=py39hca03da5_1
+  - jpeg=9e=h1a28f6b_0
+  - jupyter_client=7.2.2=py39hca03da5_0
+  - jupyter_core=4.10.0=py39hca03da5_0
+  - kiwisolver=1.3.2=py39hc377ac9_0
+  - krb5=1.19.2=h3b8d789_0
+  - lame=3.100=h1a28f6b_0
+  - lcms2=2.12=hba8e193_0
+  - lerc=3.0=hc377ac9_0
+  - libblas=3.9.0=14_osxarm64_openblas
+  - libcblas=3.9.0=14_osxarm64_openblas
+  - libcurl=7.82.0=hc6d1d07_0
+  - libcxx=14.0.3=h6a5c8ee_0
+  - libdeflate=1.8=h1a28f6b_5
+  - libedit=3.1.20210910=h1a28f6b_0
+  - libev=4.33=h1a28f6b_1
+  - libffi=3.4.2=hc377ac9_2
+  - libgfortran=5.0.0=11_1_0_h6a59814_26
+  - libgfortran5=11.1.0=h6a59814_26
+  - libglib=2.70.2=h67e64d8_4
+  - libiconv=1.16=h1a28f6b_2
+  - libidn2=2.3.1=h1a28f6b_0
+  - liblapack=3.9.0=14_osxarm64_openblas
+  - liblapacke=3.9.0=14_osxarm64_openblas
+  - libnghttp2=1.46.0=h95c9599_0
+  - libopenblas=0.3.20=openmp_h2209c59_0
+  - libopencv=4.5.5=py39h86e1ac9_9
+  - libpng=1.6.37=hb8d0fd4_0
+  - libprotobuf=3.20.1=h332123e_0
+  - libsodium=1.0.18=h1a28f6b_0
+  - libssh2=1.10.0=hf27765b_0
+  - libtasn1=4.16.0=h1a28f6b_0
+  - libtiff=4.3.0=h74060c4_2
+  - libunistring=0.9.10=h1a28f6b_0
+  - libvpx=1.11.0=hc377ac9_0
+  - libwebp=1.2.2=h68602c7_0
+  - libwebp-base=1.2.2=h1a28f6b_0
+  - libxml2=2.9.14=h035c1df_0
+  - libzlib=1.2.11=h90dfc92_1014
+  - llvm-openmp=14.0.3=hd125106_0
+  - lz4-c=1.9.3=hc377ac9_0
+  - matplotlib=3.5.1=py39hca03da5_1
+  - matplotlib-base=3.5.1=py39hc377ac9_1
+  - matplotlib-inline=0.1.2=pyhd3eb1b0_2
+  - munkres=1.1.4=py_0
+  - ncurses=6.3=h1a28f6b_2
+  - nest-asyncio=1.5.5=py39hca03da5_0
+  - nettle=3.7.3=h84b5d62_1
+  - numpy=1.21.5=py39h25ab29e_2
+  - numpy-base=1.21.5=py39h974a1f5_2
+  - openblas=0.3.20=openmp_h745f6c2_0
+  - opencv=4.5.5=py39hdf13c20_9
+  - openh264=2.1.1=h98b2900_0
+  - openssl=1.1.1o=h1a28f6b_0
+  - packaging=21.3=pyhd3eb1b0_0
+  - parso=0.8.3=pyhd3eb1b0_0
+  - pcre=8.45=hc377ac9_0
+  - pexpect=4.8.0=pyhd3eb1b0_3
+  - pickleshare=0.7.5=pyhd3eb1b0_1003
+  - pillow=9.0.1=py39h4d1bdd5_0
+  - pip=21.2.4=py39hca03da5_0
+  - pixman=0.40.0=h1a28f6b_0
+  - prompt-toolkit=3.0.20=pyhd3eb1b0_0
+  - ptyprocess=0.7.0=pyhd3eb1b0_2
+  - pure_eval=0.2.2=pyhd3eb1b0_0
+  - py-opencv=4.5.5=py39hfa6204d_9
+  - pygments=2.11.2=pyhd3eb1b0_0
+  - pyparsing=3.0.4=pyhd3eb1b0_0
+  - python=3.9.12=hfc7342c_1_cpython
+  - python-dateutil=2.8.2=pyhd3eb1b0_0
+  - python_abi=3.9=2_cp39
+  - pyzmq=22.3.0=py39hc377ac9_2
+  - readline=8.1.2=h1a28f6b_1
+  - scipy=1.7.3=py39h2f0f56f_0
+  - setuptools=61.2.0=py39hca03da5_0
+  - sqlite=3.38.2=h1058600_0
+  - stack_data=0.2.0=pyhd3eb1b0_0
+  - svt-av1=0.9.1=h07bb92c_0
+  - tensorflow-deps=2.8.0=0
+  - tk=8.6.12=he1e0b03_0
+  - tornado=6.1=py39h1a28f6b_0
+  - traitlets=5.1.1=pyhd3eb1b0_0
+  - tzdata=2022a=hda174b7_0
+  - wcwidth=0.2.5=pyhd3eb1b0_0
+  - wheel=0.37.1=pyhd3eb1b0_0
+  - x264=1!161.3030=h3422bc3_1
+  - x265=3.5=hbc6ce65_3
+  - xz=5.2.5=h1a28f6b_1
+  - zeromq=4.3.4=hc377ac9_0
+  - zlib=1.2.11=h90dfc92_1014
+  - zstd=1.5.2=h861e0a7_0
+  - pip:
+    - absl-py==1.0.0
+    - astunparse==1.6.3
+    - cachetools==5.0.0
+    - charset-normalizer==2.0.12
+    - flatbuffers==2.0
+    - gast==0.5.3
+    - google-auth==2.6.6
+    - google-auth-oauthlib==0.4.6
+    - google-pasta==0.2.0
+    - idna==3.3
+    - importlib-metadata==4.11.3
+    - imutils==0.5.4
+    - keras==2.8.0
+    - keras-preprocessing==1.1.2
+    - libclang==14.0.1
+    - markdown==3.3.7
+    - oauthlib==3.2.0
+    - opt-einsum==3.3.0
+    - protobuf==3.20.1
+    - pyasn1==0.4.8
+    - pyasn1-modules==0.2.8
+    - pygame==2.1.2
+    - requests==2.27.1
+    - requests-oauthlib==1.3.1
+    - rsa==4.8
+    - six==1.15.0
+    - tensorboard==2.8.0
+    - tensorboard-data-server==0.6.1
+    - tensorboard-plugin-wit==1.8.1
+    - tensorflow-macos==2.8.0
+    - tensorflow-metal==0.4.0
+    - termcolor==1.1.0
+    - tf-estimator-nightly==2.8.0.dev2021122109
+    - typing-extensions==4.2.0
+    - urllib3==1.26.9
+    - werkzeug==2.1.2
+    - wrapt==1.14.1
+    - zipp==3.8.0
+prefix: /Users/skywrace/miniforge3/envs/drowsiness_detector

@@ -34,7 +34,8 @@ def main():
             eye = eye/255
             eye = eye/255
             eye = eye.reshape(24, 24, -1)
             eye = eye.reshape(24, 24, -1)
             eye = np.expand_dims(eye, axis=0)
             eye = np.expand_dims(eye, axis=0)
-            pred = model.predict_classes(eye) 
+            prob = model.predict(eye, verbose=0)
+            pred = prob.argmax(axis=-1) 
             return True if pred[0] == 1 else False
             return True if pred[0] == 1 else False
 
 
     while True:
     while True:

+absl-py==1.0.0
+appnope @ file:///Users/ktietz/demo/mc3/conda-bld/appnope_1629146036738/work
+asttokens @ file:///opt/conda/conda-bld/asttokens_1646925590279/work
+astunparse==1.6.3
+backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work
+cachetools==5.0.0
+certifi==2021.10.8
+charset-normalizer==2.0.12
+cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
+debugpy @ file:///Users/builder/miniconda3/envs/prefect/conda-bld/debugpy_1637092214173/work
+decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work
+entrypoints @ file:///private/var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_croot-jb01gaox/entrypoints_1650293758411/work
+executing @ file:///opt/conda/conda-bld/executing_1646925071911/work
+flatbuffers==2.0
+fonttools==4.25.0
+gast==0.5.3
+google-auth==2.6.6
+google-auth-oauthlib==0.4.6
+google-pasta==0.2.0
+grpcio @ file:///Users/builder/miniconda3/envs/prefect/conda-bld/grpcio_1637592348692/work
+h5py @ file:///Users/builder/miniconda3/envs/prefect/conda-bld/h5py_1637162753555/work
+idna==3.3
+importlib-metadata==4.11.3
+imutils==0.5.4
+ipykernel @ file:///private/var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_croot-4yxj69n0/ipykernel_1647009452031/work/dist/ipykernel-6.9.1-py3-none-any.whl
+ipython @ file:///private/var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_b42ce53b-9348-4ffe-874e-ee7a7d34be58zn88hkt_/croots/recipe/ipython_1651600151534/work
+jedi @ file:///private/var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/croot-f1t6hma6/jedi_1644315882177/work
+jupyter-client @ file:///private/var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_37f0874a-8189-43c8-984a-7cc5aa7f2a00vekz677y/croots/recipe/jupyter_client_1650622203010/work
+jupyter-core @ file:///private/var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_5839c60e-0f30-4a99-b0b9-2b009ec5fec40y9fo9ym/croots/recipe/jupyter_core_1651671230982/work
+keras==2.8.0
+Keras-Preprocessing==1.1.2
+kiwisolver @ file:///Users/builder/miniconda3/envs/prefect/conda-bld/kiwisolver_1638569888412/work
+libclang==14.0.1
+Markdown==3.3.7
+matplotlib @ file:///private/var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_croot-_3usbnl1/matplotlib-suite_1647506475477/work
+matplotlib-inline @ file:///tmp/build/80754af9/matplotlib-inline_1628242447089/work
+munkres==1.1.4
+nest-asyncio @ file:///private/var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_croot-xymukih3/nest-asyncio_1649931465456/work
+numpy @ file:///private/var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_e99dd190-62ea-4b66-a328-d961062afa8ar4io6k3p/croots/recipe/numpy_and_numpy_base_1651563626935/work
+oauthlib==3.2.0
+opencv-python==4.5.5
+opt-einsum==3.3.0
+packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
+parso @ file:///opt/conda/conda-bld/parso_1641458642106/work
+pexpect @ file:///tmp/build/80754af9/pexpect_1605563209008/work
+pickleshare @ file:///tmp/build/80754af9/pickleshare_1606932040724/work
+Pillow==9.0.1
+prompt-toolkit @ file:///tmp/build/80754af9/prompt-toolkit_1633440160888/work
+protobuf==3.20.1
+ptyprocess @ file:///tmp/build/80754af9/ptyprocess_1609355006118/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
+pure-eval @ file:///opt/conda/conda-bld/pure_eval_1646925070566/work
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
+pygame==2.1.2
+Pygments @ file:///opt/conda/conda-bld/pygments_1644249106324/work
+pyparsing @ file:///tmp/build/80754af9/pyparsing_1635766073266/work
+python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
+pyzmq @ file:///Users/builder/miniconda3/envs/prefect/conda-bld/pyzmq_1638447141825/work
+requests==2.27.1
+requests-oauthlib==1.3.1
+rsa==4.8
+scipy @ file:///Users/ktietz/ci_310/scipy_1644255974431/work
+six==1.15.0
+stack-data @ file:///opt/conda/conda-bld/stack_data_1646927590127/work
+tensorboard==2.8.0
+tensorboard-data-server==0.6.1
+tensorboard-plugin-wit==1.8.1
+tensorflow-macos==2.8.0
+tensorflow-metal==0.4.0
+termcolor==1.1.0
+tf-estimator-nightly==2.8.0.dev2021122109
+tornado @ file:///Users/ktietz/demo/mc3/conda-bld/tornado_1628698929452/work
+traitlets @ file:///tmp/build/80754af9/traitlets_1636710298902/work
+typing_extensions==4.2.0
+urllib3==1.26.9
+wcwidth @ file:///Users/ktietz/demo/mc3/conda-bld/wcwidth_1629357192024/work
+Werkzeug==2.1.2
+wrapt==1.14.1
+zipp==3.8.0