From ce9ba3ae6cf42d57b7a1a6fc7a41b96c3d7e268c Mon Sep 17 00:00:00 2001 From: Bernhard B Date: Thu, 23 Jan 2020 20:18:14 +0100 Subject: [PATCH 01/32] small wording improvements --- html/templates/mobile.html | 29 ++++++++++++++++------------- 1 file changed, 16 insertions(+), 13 deletions(-) diff --git a/html/templates/mobile.html b/html/templates/mobile.html index 467635b1..ca046191 100644 --- a/html/templates/mobile.html +++ b/html/templates/mobile.html @@ -36,23 +36,26 @@

-

Mobile App

-

The ImageMonkey app for your smartphone allows you to validate and donate photos while on the road.

-

- -
- Build from source -
Fork us and build the ImageMonkey App from source.
+

Mobile Apps

+

The ImageMonkey mobile app allows you to validate and donate photos while on the road.

+ +
+
+ +
-

+

- Or + OR

+ +

ImageMonkey - The Game uses gamification concepts to make contributing to the dataset more fun.

+
- - + +
@@ -62,9 +65,9 @@

Firefox Extension

- Help us to improve our public image dataset whenever you open a new browser tab.

+

Help us to improve our public image dataset whenever you open a new browser tab.

- Validating images can be a tedious and time consuming task. Use this Firefox extension to limit the time you are spending on image validations. + Validating images can be a tedious and time consuming task. Use this Firefox extension to limit the time you are spending on image validations.

Get the extension
From 0a4211287b9b03ca1cb4d42caea52048fb3d1f38 Mon Sep 17 00:00:00 2001 From: Bernhard B Date: Fri, 24 Jan 2020 16:29:52 +0100 Subject: [PATCH 02/32] increased font size --- html/templates/libraries.html | 30 +++++++++++++++--------------- html/templates/supportus.html | 31 ++++++++++++++++--------------- 2 files changed, 31 insertions(+), 30 deletions(-) diff --git a/html/templates/libraries.html b/html/templates/libraries.html index 6cb0a877..af9ee5b2 100644 --- a/html/templates/libraries.html +++ b/html/templates/libraries.html @@ -58,9 +58,9 @@

- One of the best things about ImageMonkey is our tight integration with Machine learning frameworks like Tensorflow and Mask RCNN.
You want to train your own image classifier based on the ImageMonkey dataset?

- It's as easy as that:

- CPU version +

One of the best things about ImageMonkey is our tight integration with Machine learning frameworks like Tensorflow and Mask RCNN.
You want to train your own image classifier based on the ImageMonkey dataset?

+ It's as easy as that:



+

CPU version:


     docker pull bbernhard/imagemonkey-train:latest
@@ -68,7 +68,7 @@

- GPU version +

GPU version:


     docker pull bbernhard/imagemonkey-train:latest-gpu
@@ -76,10 +76,10 @@

- This will download and run a docker image where we've already configured tensorflow and MaskRCNN to work seamlessly with ImageMonkey. +

This will download and run a docker image where we've already configured tensorflow and MaskRCNN to work seamlessly with ImageMonkey. After you've started the docker container, use the monkey script to interact with ImageMonkey dataset.

- Here's a list of all available commands: + Here's a list of all available commands:


@@ -99,8 +99,8 @@ 

 
         
Example

 
-        Let's assume you want to train your image classifier on all images that are labeled with dog or cat. 
-        Then simply run 
+        
Let's assume you want to train your image classifier on all images that are labeled with dog or cat. 
+        Then simply run 

 
         

           

@@ -108,27 +108,27 @@ 
Example

           

         

         

-        lean back and go get yourself a coffee ;-)
+        
lean back and go get yourself a coffee ;-)

         


-        The script automatically downloads all ImageMonkey images that are labeled with dog or cat and uses transfer learning to retrain an 
+        
The script automatically downloads all ImageMonkey images that are labeled with dog or cat and uses transfer learning to retrain an 
         existing image classifier (inception v3) on these labels.
         


         Umm, wait, I don't want to train an image classifier - I rather want to train a neural net that is able to do object segmentation. 
-        Nothing easier than that. Simply change the type 
+        Nothing easier than that. Simply change the type 

 
         

           

       monkey train --labels="cat|dog" --type="object-segmentation"
           

         
 
-        and MaskRCNN will be used instead. 
+        
and MaskRCNN will be used instead. 

 
 
 
         



-        
P.S.

-        In case you want to access ImageMonkey via Python, have a look at our Python library. 
-        But keep in mind, the library is still in an alpha stage and the API might change at any point!
+        
P.S.

+        
In case you want to access ImageMonkey via Python, have a look at our Python library. 
+        But keep in mind, the library is still in an alpha stage and the API might change at any point!
diff --git a/html/templates/supportus.html b/html/templates/supportus.html index 63b887a0..43b72a63 100644 --- a/html/templates/supportus.html +++ b/html/templates/supportus.html @@ -44,7 +44,8 @@

-
+
+