Added missing images, updated README

README.md

@@ -2,6 +2,34 @@
 
 # Web app to annotate/label images
 
+## Instructions to run
+The following pre-requisites need to be satisified for the project to run:
+* Python 2.7
+* Django 1.11.2
+* `pip`
+* OpenCV
+* pip
+* Pillow 4.1.1
+* TensorBox
+* pkg-config
+* virtualenv
+* FreeType
+
+For Ubuntu, the below files are required before installing the required modules:
+```
+sudo apt-get install libfreetype6-dev libxft-dev
+sudo apt-get install python-tk
+```
+Following commands can be used to install pre-reqs using `pip`:
+```
+	git clone https://github.com/saifrahmed/HiringExercise_MLEngineer_Baljit92.git
+	cd HiringExercise_MLEngineer_Baljit92
+	chmod +x *.sh
+	./setup_virtualenv.sh
+	source ./bin/activate
+```
+
+
 ## Description
 
 The web app let's the user annotate images by drawing a bounding box around the skulls in the image. The user can label the image with *Skull* or *Not Skull* class.
@@ -24,28 +52,8 @@ Once we have the dataset, we manually separate 20% of the data for validation an
 
 
 ## Instructions to run
-The following pre-requisites need to be satisified for the project to run:
-* Python 2.7
-* Django 1.11.2
-* `pip`
-* OpenCV
-* pip
-* Pillow 4.1.1
-
-
-For Ubuntu, the below files are required before installing the required modules:
-```
-sudo apt-get install libfreetype6-dev libxft-dev
-sudo apt-get install python-tk
-```
-Following commands can be used to install pre-reqs using `pip`:
-```
-git clone https://github.com/saifrahmed/HiringExercise_MLEngineer_Baljit92.git
-cd HiringExercise_MLEngineer_Baljit92
-pip install -r requirements.txt
-```
 
-Once installed, follow the commands below:
+Once the requirements have been installed, follow the commands below to run the server:
 ```
 cd src/webapp/TrainImage_Annotate/
 python manage.py runserver
@@ -73,16 +81,6 @@ After downloading the dataset csv file from the webapp; use the script `convert_
 Once we have the training data and the validation data, use [TensorBox](https://github.com/TensorBox/TensorBox) to train a machine learning model. A trained model has
 already been provided with the name of _save.ckpt-18000_
 
-## Pre-requisites
-The following pre-requisites need to be satisified for the machine learning project to run:
-* Python 2.7
-* TensorBox
-* OpenCV
-* pip
-* pkg-config
-* virtualenv
-* Pillow 4.1.1
-* FreeType
 
 ## Instructions to run
 
@@ -92,15 +90,8 @@ sudo apt-get install libfreetype6-dev libxft-dev
 sudo apt-get install python-tk
 ```
 
-To setup TensorBox and evaluate the model, follow instructions below: 
+To setup TensorBox and evaluate the model, follow instructions below(inside virtualenv) after the requirements have been installed: 
 
-
-	git clone https://github.com/saifrahmed/HiringExercise_MLEngineer_Baljit92.git
-	cd HiringExercise_MLEngineer_Baljit92
-	pip install -r requirements.txt
-	chmod +x *.sh
-	./install_tensorflow.sh
-	source ./bin/activate
 	./libraries_setup.sh
 	./install_tensorbox.sh
 	mv ./src/machine_learning/model/* ./tensorbox/data/

install_tensorflow.sh → setup_virtualenv.sh

@@ -27,6 +27,3 @@ virtualenv --system-site-packages .
 
 echo "Activate the viratualenv"
 source ./bin/activate
-
-echo "Installing tensorflow"
-pip install --upgrade tensorflow

src/machine_learning/data/testing_set_present.json

@@ -0,0 +1 @@
+[{"rects": [], "image_path": "../src/webapp/TrainImage_Annotate/uploadFils/imageTest.jpeg"}]

src/webapp/TrainImage_Annotate/Annotate/static/css/style.css

@@ -38,4 +38,9 @@ a:hover
 .button-design 
 {
 	margin-top: 100px;
-}
+}
+
+.imgContainer{
+    float:left;
+}
+

src/webapp/TrainImage_Annotate/Annotate/static/img/cloud/ios/ic_cloud_upload_48pt.imageset/Contents.json

@@ -0,0 +1,23 @@
+{
+    "images": [
+        {
+            "filename": "ic_cloud_upload_48pt.png",
+            "idiom": "universal",
+            "scale": "1x"
+        },
+        {
+            "filename": "ic_cloud_upload_48pt_2x.png",
+            "idiom": "universal",
+            "scale": "2x"
+        },
+        {
+            "filename": "ic_cloud_upload_48pt_3x.png",
+            "idiom": "universal",
+            "scale": "3x"
+        }
+    ],
+    "info": {
+        "author": "xcode",
+        "version": 1
+    }
+}