Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub / irdanish11 / early-fall-detection-multi-stage-lstm
Multi Satge Early Fall Detection
Stars: 0
Forks: 1
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 527 KB
Dependencies:
278
Created: over 1 year ago
Updated: about 1 year ago
Last pushed: about 1 year ago
Last synced: about 1 year ago
Files
Loading...
Readme
Loading...
Dependencies
- backcall =0.2.0=pyhd3eb1b0_0
- blas =1.0=mkl
- boost =1.67.0=py37_4
- bzip2 =1.0.8=h7b6447c_0
- ca-certificates =2022.4.26=h06a4308_0.conda
- cairo =1.14.12=h8948797_3
- certifi =2022.5.18.1=py37h06a4308_0.conda
- cloudpickle =1.6.0=py_0
- cudatoolkit =10.1.243=h6bb024c_0.conda
- cycler =0.10.0=py37_0
- cytoolz =0.11.0=py37h7b6447c_0
- dask-core =2.30.0=py_0
- dbus =1.13.18=hb2f20db_0
- debugpy =1.5.1=py37h295c915_0.conda
- decorator =5.1.1=pyhd3eb1b0_0.conda
- entrypoints =0.4=py37h06a4308_0.conda
- expat =2.2.10=he6710b0_2
- ffmpeg =4.0=hcdf2ecd_0
- fontconfig =2.13.0=h9420a91_0
- freeglut =3.0.0=hf484d3e_5
- freetype =2.10.4=h5ab3b9f_0
- gflags =2.2.2=he6710b0_0
- glib =2.56.2=hd408876_0
- glog =0.3.5=hf484d3e_1.conda
- graphite2 =1.3.14=h23475e2_0
- gst-plugins-base =1.14.0=hbbd80ab_1
- gstreamer =1.14.0=hb453b48_1
- h5py =2.8.0=py37h989c5e5_3
- harfbuzz =1.8.8=hffaf4a1_0
- hdf5 =1.10.2=hba1933b_1
- icu =58.2=he6710b0_3
- imageio =2.9.0=py_0
- intel-openmp =2020.2=254
- ipykernel =6.9.1=py37h06a4308_0.conda
- ipython =7.31.1=py37h06a4308_0.conda
- ipython_genutils =0.2.0=pyhd3eb1b0_1.conda
- jasper =2.0.14=h07fcdf6_1
- jedi =0.18.1=py37h06a4308_1.conda
- jpeg =9b=habf39ab_1
- jupyter_client =7.2.2=py37h06a4308_0.conda
- jupyter_core =4.10.0=py37h06a4308_0.conda
- kiwisolver =1.2.0=py37hfd86e86_0
- lcms2 =2.11=h396b838_0
- ld_impl_linux-64 =2.38=h1181459_1.conda
- leveldb =1.20=hf484d3e_1.conda
- libboost =1.67.0=h46d08c1_4
- libedit =3.1.20210910=h7f8727e_0.conda
- libffi =3.3=he6710b0_2.conda
- libgcc-ng =11.2.0=h1234567_1.conda
- libgfortran-ng =7.3.0=hdf63c60_0
- libglu =9.0.0=hf484d3e_1
- libgomp =11.2.0=h1234567_1.conda
- libopencv =3.4.2=hb342d67_1
- libopus =1.3.1=h7b6447c_0
- libpng =1.6.37=hbc83047_0
- libprotobuf =3.13.0.1=hd408876_0
- libsodium =1.0.18=h7b6447c_0.conda
- libstdcxx-ng =11.2.0=h1234567_1.conda
- libtiff =4.1.0=h2733197_1
- libuuid =1.0.3=h1bed415_2
- libuv =1.40.0=h7b6447c_0
- libvpx =1.7.0=h439df22_0
- libxcb =1.14=h7b6447c_0
- libxml2 =2.9.10=hb55368b_3
- lmdb =0.9.24=he6710b0_0
- lz4-c =1.9.2=heb0550a_3
- matplotlib =3.3.1=0
- matplotlib-base =3.3.1=py37h817c723_0
- matplotlib-inline =0.1.2=pyhd3eb1b0_2.conda
- mkl =2019.4=243
- mkl-service =2.3.0=py37he904b0f_0
- mkl_fft =1.2.0=py37h23d657b_0
- mkl_random =1.1.0=py37hd6b4f25_0
- ncurses =6.3=h7f8727e_2.conda
- nest-asyncio =1.5.5=py37h06a4308_0.conda
- networkx =2.5=py_0
- ninja =1.10.2=hff7bd54_1.conda
- numpy =1.19.1=py37hbc911f0_0
- numpy-base =1.19.1=py37hfa32c7d_0
- olefile =0.46=py37_0
- openssl =1.1.1o=h7f8727e_0.conda
- pandas =1.1.3=py37he6710b0_0
- parso =0.8.3=pyhd3eb1b0_0.conda
- pcre =8.44=he6710b0_0
- pexpect =4.8.0=pyhd3eb1b0_3.conda
- pickleshare =0.7.5=pyhd3eb1b0_1003.conda
- pillow =8.0.0=py37h9a89aac_0
- pip =21.2.2=py37h06a4308_0.conda
- pixman =0.40.0=h7b6447c_0
- prompt-toolkit =3.0.20=pyhd3eb1b0_0.conda
- protobuf =3.13.0.1=py37he6710b0_1
- ptyprocess =0.7.0=pyhd3eb1b0_2.conda
- py-boost =1.67.0=py37h04863e7_4
- py-opencv =3.4.2=py37hb342d67_1
- pygments =2.11.2=pyhd3eb1b0_0.conda
- pyparsing =2.4.7=py_0
- pyqt =5.9.2=py37h22d08a2_1
- python =3.7.13=h12debd9_0.conda
- python-dateutil =2.8.2=pyhd3eb1b0_0.conda
- python-gflags =3.1.2=py37_0
- python-leveldb =0.201=py37he6710b0_0
- pytorch =1.7.1=py3.7_cuda10.1.243_cudnn7.6.3_0
- pytz =2020.1=py_0
- pywavelets =1.1.1=py37h7b6447c_2
- pyyaml =5.3.1=py37h7b6447c_1
- pyzmq =22.3.0=py37h295c915_2.conda
- qt =5.9.7=h5867ecd_1
- readline =8.1.2=h7f8727e_1.conda
- scikit-image =0.17.2=py37hdf5156a_0
- scipy =1.5.2=py37h0b6359f_0
- setuptools =61.2.0=py37h06a4308_0.conda
- sip =4.19.24=py37he6710b0_0
- six =1.16.0=pyhd3eb1b0_1.conda
- snappy =1.1.8=he6710b0_0
- sqlite =3.38.3=hc218d9a_0.conda
- tifffile =2020.10.1=py37hdd07704_2
- tk =8.6.12=h1ccaba5_0.conda
- toolz =0.11.1=py_0
- torchaudio =0.7.2=py37
- torchvision =0.8.2=py37_cu101
- tornado =6.1=py37h27cfd23_0.conda
- traitlets =5.1.1=pyhd3eb1b0_0.conda
- typing_extensions =3.10.0.2=pyh06a4308_0.conda
- tzdata =2020f=h52ac0ba_0
- wcwidth =0.2.5=pyhd3eb1b0_0.conda
- wheel =0.37.1=pyhd3eb1b0_0.conda
- xz =5.2.5=h7f8727e_1.conda
- yaml =0.2.5=h7b6447c_0
- zeromq =4.3.4=h2531618_0.conda
- zlib =1.2.12=h7f8727e_2.conda
- zstd =1.4.4=h0b5b093_3
requirements.txt
pypi
- imageio *
- matplotlib *
- opencv-python *
- pandas *
- pillow ==6.2.2
- scikit-learn *
- tensorflow ==2.4.1
- torch ==1.3.1
- torchvision ==0.4.2
- tqdm *
requirements-LS.txt
pypi
- absl-py =0.15.0=pyhd3eb1b0_0
- aiohttp =3.8.1=py37h7f8727e_1.conda
- aiosignal =1.2.0=pyhd3eb1b0_0
- astor =0.8.1=py37h06a4308_0
- astunparse =1.6.3=py_0
- async-timeout =4.0.1=pyhd3eb1b0_0
- asynctest =0.13.0=py_0
- attrs =21.4.0=pyhd3eb1b0_0.conda
- blas =1.0=mkl
- blinker =1.4=py37h06a4308_0
- brotlipy =0.7.0=py37h27cfd23_1003
- bzip2 =1.0.8=h7b6447c_0.conda
- c-ares =1.18.1=h7f8727e_0
- ca-certificates =2022.3.18=h06a4308_0
- cachetools =4.2.2=pyhd3eb1b0_0
- certifi =2021.10.8=py37h06a4308_2
- cffi =1.15.0=py37hd667e15_1.conda
- charset-normalizer =2.0.4=pyhd3eb1b0_0
- click =8.0.4=py37h06a4308_0.conda
- cryptography =37.0.1=py37h9ce1e76_0
- cudatoolkit =10.1.243=h6bb024c_0
- cudnn =7.6.5=cuda10.1_0
- cupti =10.1.168=0
- daal4py =2021.5.0=py37h78b71dc_0
- dal =2021.5.1=h06a4308_803
- dataclasses =0.8=pyh6d0b6a4_7
- decorator =5.1.1=pyhd3eb1b0_0.conda
- ffmpeg =4.3=hf484d3e_0
- freetype =2.11.0=h70c0345_0.conda
- frozenlist =1.2.0=py37h7f8727e_0
- gast =0.4.0=pyhd3eb1b0_0
- gmp =6.2.1=h295c915_3.conda
- gnutls =3.6.15=he1e5248_0.conda
- google-auth =2.6.0=pyhd3eb1b0_0.conda
- google-auth-oauthlib =0.4.4=pyhd3eb1b0_0
- google-pasta =0.2.0=pyhd3eb1b0_0
- grpcio =1.46.1=py37h0327239_0
- h5py =2.10.0=py37hd6299e0_1
- hdf5 =1.10.6=hb1b8bf9_0
- idna =3.3=pyhd3eb1b0_0
- imageio =2.9.0=pyhd3eb1b0_0.conda
- imageio-ffmpeg =0.4.7=pyhd8ed1ab_0
- importlib-metadata =4.11.3=py37h06a4308_0.conda
- intel-openmp =2021.4.0=h06a4308_3561.conda
- jbig =2.1=h7f98852_2003
- joblib =1.1.0=pyhd3eb1b0_0
- jpeg =9e=h166bdaf_1
- keras-preprocessing =1.1.2=pyhd3eb1b0_0
- lame =3.100=h7b6447c_0.conda
- ld_impl_linux-64 =2.38=h1181459_1.conda
- lerc =3.0=h295c915_0.conda
- libdeflate =1.10=h7f98852_0
- libffi =3.4.2=h7f98852_5
- libgcc-ng =11.2.0=h1234567_1
- libgfortran-ng =7.5.0=ha8ba4b0_17.conda
- libgfortran4 =7.5.0=ha8ba4b0_17.conda
- libgomp =11.2.0=h1234567_1
- libiconv =1.16=h7f8727e_2.conda
- libidn2 =2.3.2=h7f8727e_0.conda
- libnsl =2.0.0=h7f98852_0
- libpng =1.6.37=h21135ba_2
- libprotobuf =3.19.1=h4ff587b_0
- libstdcxx-ng =12.1.0=ha89aaad_16
- libtasn1 =4.16.0=h27cfd23_0.conda
- libtiff =4.3.0=h542a066_3
- libunistring =0.9.10=h27cfd23_0.conda
- libwebp-base =1.2.2=h7f98852_1
- libzlib =1.2.11=h166bdaf_1014
- lz4-c =1.9.3=h9c3ff4c_1
- markdown =3.3.4=py37h06a4308_0
- mkl =2021.4.0=intel_640
- mkl-service =2.4.0=py37h7f8727e_0.conda
- mkl_fft =1.3.1=py37hd3c417c_0.conda
- mkl_random =1.2.2=py37h51133e4_0.conda
- moviepy =1.0.3=pyhd8ed1ab_0
- mpi =1.0=mpich
- mpich =3.3.2=hc856adb_0
- multidict =5.2.0=py37h7f8727e_2
- ncurses =6.3=h5eee18b_3.conda
- nettle =3.7.3=hbbd107a_1.conda
- ninja =1.10.2=h06a4308_5.conda
- ninja-base =1.10.2=hd09550d_5.conda
- numpy =1.21.5=py37h6c91a56_3.conda
- numpy-base =1.21.5=py37ha15fc14_3.conda
- oauthlib =3.2.0=pyhd8ed1ab_0
- olefile =0.46=py37_0.conda
- openh264 =2.1.1=h4ff587b_0.conda
- openssl =3.0.3=h166bdaf_0
- opt_einsum =3.3.0=pyhd3eb1b0_1
- pillow =6.1.0=py37h34e0f95_0.conda
- pip =21.2.2=py37h06a4308_0
- proglog =0.1.9=py_0
- protobuf =3.19.1=py37h295c915_0
- pyasn1 =0.4.8=pyhd3eb1b0_0
- pyasn1-modules =0.2.8=py_0
- pycparser =2.21=pyhd3eb1b0_0
- pyjwt =2.4.0=pyhd8ed1ab_0
- pyopenssl =22.0.0=pyhd3eb1b0_0.conda
- pysocks =1.7.1=py37_1
- python =3.7.12=hf930737_100_cpython
- python-flatbuffers =2.0=pyhd3eb1b0_0
- python_abi =3.7=2_cp37m
- pytorch =1.0.0=py3.7_cuda9.0.176_cudnn7.4.1_1
- readline =8.1.2=h7f8727e_1
- requests =2.28.0=py37h06a4308_0.conda
- requests-oauthlib =1.3.0=py_0
- rsa =4.7.2=pyhd3eb1b0_1
- scikit-learn =1.0.2=py37h51133e4_1
- scikit-learn-intelex =2021.5.0=py37h06a4308_0
- scipy =1.7.3=py37hc147768_0.conda
- setuptools =61.2.0=py37h06a4308_0.conda
- six =1.16.0=pyhd3eb1b0_1.conda
- sqlite =3.38.2=hc218d9a_0.conda
- tbb =2021.5.0=hd09550d_0
- tensorboard =2.4.0=pyhc547734_0
- tensorboard-plugin-wit =1.6.0=py_0
- tensorflow =2.4.1=gpu_py37ha2e99fa_0
- tensorflow-base =2.4.1=gpu_py37h29c2da4_0
- tensorflow-estimator =2.6.0=pyh7b7c402_0
- tensorflow-gpu =2.4.1=h30adc30_0
- termcolor =1.1.0=py37h06a4308_1
- threadpoolctl =2.2.0=pyh0d69192_0
- tk =8.6.11=h1ccaba5_0
- torchvision =0.2.1=py_2
- tqdm =4.64.0=py37h06a4308_0.conda
- typing-extensions =4.1.1=hd3eb1b0_0.conda
- typing_extensions =4.1.1=pyh06a4308_0.conda
- urllib3 =1.26.9=py37h06a4308_0.conda
- werkzeug =2.0.3=pyhd3eb1b0_0.conda
- wheel =0.37.1=pyhd3eb1b0_0
- wrapt =1.13.3=py37h7f8727e_2
- xz =5.2.5=h7f8727e_1.conda
- yaml =0.2.5=h7f98852_2
- yarl =1.6.3=py37h27cfd23_0
- zipp =3.8.0=py37h06a4308_0.conda
- zlib =1.2.11=h166bdaf_1014
- zstd =1.5.2=h8a70e8d_1