final changes

sign-language/main.py

 import numpy as np
 import cv2
 import tensorflow as tf
+import argparse
 
+parser = argparse.ArgumentParser()
+parser.add_argument("-m", "--model", type=str,default="models/model.h5")
 cap = cv2.VideoCapture(0)
+args = parser.parse_args()
 
-model = tf.keras.models.load_model("models/model.h5")
+
+model = tf.keras.models.load_model(args.model)
 print("Loaded model from disk")
 
 sign = {

sign-language/ml725.yml

 name: ml725
 channels:
-  - anaconda
   - conda-forge
+  - anaconda
   - defaults
 dependencies:
+  - _libgcc_mutex=0.1=main
   - _tflow_select=2.3.0=mkl
-  - ca-certificates=2019.10.16=0
-  - certifi=2019.9.11=py37_0
-  - gast=0.2.2=py37_0
-  - google-pasta=0.1.7=py_0
-  - openssl=1.1.1=h7b6447c_0
-  - opt_einsum=3.1.0=py_0
-  - pandas=0.25.2=py37he6710b0_0
-  - python-dateutil=2.8.0=py37_0
-  - pytz=2019.3=py_0
-  - tensorboard=2.0.0=pyhb230dea_0
-  - tensorflow=2.0.0=mkl_py37h66b46cc_0
-  - tensorflow-base=2.0.0=mkl_py37h9204916_0
-  - tensorflow-estimator=2.0.0=pyh2649769_0
-  - webencodings=0.5.1=py37_1
-  - wrapt=1.11.2=py37h7b6447c_0
   - absl-py=0.8.1=py37_0
   - astor=0.7.1=py_0
   - binutils_impl_linux-64=2.31.1=h7fc9f1b_2
   - binutils_linux-64=2.31.1=h6176602_12
   - bzip2=1.0.8=h516909a_1
   - c-ares=1.15.0=h516909a_1001
+  - ca-certificates=2019.10.16=0
   - cairo=1.16.0=hfb77d84_1002
+  - certifi=2019.9.11=py37_0
   - dbus=1.13.6=he372182_0
   - expat=2.2.5=he1b5a44_1004
   - ffmpeg=4.1.3=h167e202_0
   - fontconfig=2.13.1=h86ecdb6_1001
   - freetype=2.10.0=he983fc9_1
+  - gast=0.2.2=py37_0
   - gcc_impl_linux-64=7.3.0=habb00fd_2
   - gcc_linux-64=7.3.0=h553295d_12
   - gettext=0.19.8.1=hc5be6a0_1002
@@ -39,6 +28,7 @@ dependencies:
   - glib=2.58.3=h6f030ca_1002
   - gmp=6.1.2=hf484d3e_1000
   - gnutls=3.6.5=hd3a4fd2_1002
+  - google-pasta=0.1.7=py_0
   - graphite2=1.3.13=hf484d3e_1000
   - grpcio=1.23.0=py37he9ae1f9_0
   - gst-plugins-base=1.14.5=h0935bb2_0
@@ -54,10 +44,15 @@ dependencies:
   - keras=2.3.1=py37_0
   - keras-applications=1.0.8=py_1
   - keras-preprocessing=1.1.0=py_0
+  - krb5=1.16.1=h173b8e3_7
   - lame=3.100=h14c3975_1001
   - libblas=3.8.0=14_openblas
   - libcblas=3.8.0=14_openblas
   - libclang=9.0.0=hc9558a2_1
+  - libcurl=7.65.3=h20c2e04_0
+  - libedit=3.1.20181209=hc058e9b_0
+  - libffi=3.2.1=hd88cf55_4
+  - libgcc-ng=9.1.0=hdf63c60_0
   - libgfortran-ng=7.3.0=hdf63c60_2
   - libgpuarray=0.7.6=h14c3975_1003
   - libiconv=1.15=h516909a_1005
@@ -68,6 +63,7 @@ dependencies:
   - libpng=1.6.37=hed695b0_0
   - libprotobuf=3.8.0=h8b12597_0
   - libssh2=1.8.2=h22169c7_2
+  - libstdcxx-ng=9.1.0=hdf63c60_0
   - libtiff=4.1.0=hfc65ed5_0
   - libuuid=2.32.1=h14c3975_1000
   - libwebp=1.0.2=h576950b_1
@@ -79,24 +75,43 @@ dependencies:
   - markdown=3.1.1=py_0
   - markupsafe=1.1.1=py37h516909a_0
   - mock=3.0.5=py37_0
+  - ncurses=6.1=he6710b0_1
   - nettle=3.4.1=h1bed415_1002
   - nspr=4.23=he1b5a44_0
   - nss=3.47=he751ad9_0
   - numpy=1.17.3=py37h95a1406_0
   - opencv=4.1.1=py37h0cc45ee_2
   - openh264=1.8.0=hdbcaa40_1000
+  - openssl=1.1.1=h7b6447c_0
+  - opt_einsum=3.1.0=py_0
+  - pandas=0.25.2=py37he6710b0_0
   - pcre=8.43=he1b5a44_0
+  - pip=19.3.1=py37_0
   - pixman=0.38.0=h516909a_1003
   - protobuf=3.8.0=py37he1b5a44_1
   - pthread-stubs=0.4=h14c3975_1001
   - pygpu=0.7.6=py37hc1659b7_1000
+  - python=3.7.4=h265db76_1
+  - python-dateutil=2.8.0=py37_0
+  - pytz=2019.3=py_0
   - pyyaml=5.1.2=py37h516909a_0
   - qt=5.12.5=hd8c4c69_1
+  - readline=7.0=h7b6447c_5
   - scipy=1.3.1=py37h921218d_2
+  - setuptools=41.6.0=py37_0
   - six=1.13.0=py37_0
+  - sqlite=3.30.1=h7b6447c_0
+  - tensorboard=2.0.0=pyhb230dea_0
+  - tensorflow=2.0.0=mkl_py37h66b46cc_0
+  - tensorflow-base=2.0.0=mkl_py37h9204916_0
+  - tensorflow-estimator=2.0.0=pyh2649769_0
   - termcolor=1.1.0=py_2
   - theano=1.0.4=py37hf484d3e_1000
+  - tk=8.6.8=hbc83047_0
+  - webencodings=0.5.1=py37_1
   - werkzeug=0.16.0=py_0
+  - wheel=0.33.6=py37_0
+  - wrapt=1.11.2=py37h7b6447c_0
   - x264=1!152.20180806=h14c3975_0
   - xorg-kbproto=1.0.7=h14c3975_1002
   - xorg-libice=1.0.10=h516909a_0
@@ -109,24 +124,13 @@ dependencies:
   - xorg-renderproto=0.11.1=h14c3975_1002
   - xorg-xextproto=7.3.0=h14c3975_1002
   - xorg-xproto=7.0.31=h14c3975_1007
-  - yaml=0.1.7=h14c3975_1001
-  - zstd=1.4.3=h3b9ef0a_0
-  - _libgcc_mutex=0.1=main
-  - krb5=1.16.1=h173b8e3_7
-  - libcurl=7.65.3=h20c2e04_0
-  - libedit=3.1.20181209=hc058e9b_0
-  - libffi=3.2.1=hd88cf55_4
-  - libgcc-ng=9.1.0=hdf63c60_0
-  - libstdcxx-ng=9.1.0=hdf63c60_0
-  - ncurses=6.1=he6710b0_1
-  - pip=19.3.1=py37_0
-  - python=3.7.4=h265db76_1
-  - readline=7.0=h7b6447c_5
-  - setuptools=41.6.0=py37_0
-  - sqlite=3.30.1=h7b6447c_0
-  - tk=8.6.8=hbc83047_0
-  - wheel=0.33.6=py37_0
   - xz=5.2.4=h14c3975_4
+  - yaml=0.1.7=h14c3975_1001
   - zlib=1.2.11=h7b6447c_3
-prefix: /home/shreyansh/.conda/envs/ml725
+  - zstd=1.4.3=h3b9ef0a_0
+  - pip:
+    - joblib==0.14.0
+    - scikit-learn==0.21.3
+    - sklearn==0.0
+prefix: /home/rht/miniconda3/envs/ml725
 

sign-language/prediction.py → sign-language/training.py

 import pandas as pd
 import numpy as np
+import argparse
 import tensorflow as tf
 from keras.models import Sequential,load_model
 from keras.layers import Dense, Conv2D, Flatten, MaxPooling2D, Dropout
 from sklearn.preprocessing import LabelBinarizer
 
-trainData = pd.read_csv("data/sign_mnist_train.csv").values
-testData = pd.read_csv("data/sign_mnist_test.csv").values
+parser = argparse.ArgumentParser()
+parser.add_argument("-train", "--train_data", type=str,default="data/sign_mnist_train.csv")
+parser.add_argument("-test", "--test_data", type=str,default="data/sign_mnist_test.csv")
+args = parser.parse_args()
+
+trainData = pd.read_csv(args.train_data).values
+testData = pd.read_csv(args.test_data).values
 
 trainX,trainY = trainData[:,1:],LabelBinarizer().fit_transform(trainData[:,0:1])
 testX,testY = testData[:,1:],LabelBinarizer().fit_transform(testData[:,0:1])