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ML725
Commit eb026f85 authored by THAKKAR RAGHAV HASMUKHBHAI's avatar THAKKAR RAGHAV HASMUKHBHAI
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final changes

parent 3f4ff138
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sign-language/main.py
View file @ eb026f85
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
View file @ eb026f85
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
View file @ eb026f85
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])
......
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