Update README.md

README.md

@@ -1,32 +1,87 @@
-## Real-Time Grab Detection in Videos
+# Real-Time Grab Detection in Videos
 
 
-This project proposes to make an object detection network using deep learning techniques that predicts in real-time if an RGB video contains a hand grasping an object
+This project proposes to implement an object detection network using deep learning techniques to predict in real-time if an RGB video contains a hand grasping an object.
+
+Grab detection is the detection of hands grasping objects
+
+![Imgur](https://i.imgur.com/r7Ke0FO.png)
 
 
 This is a fork of the implementation of AlexeyAB's implementation of YoloV4 on darknet. 
 linked here: https://github.com/AlexeyAB/darknet
 
+## How to use:
+
+First install the required dependencies as described in the YOLOv4 github: https://github.com/AlexeyAB/darknet#requirements
+
+Alternatively Augmented startups provides a great 2-part step-by-step guide for Windows on Youtube: 
+https://www.youtube.com/watch?v=5pYh1rFnNZs
+
+https://www.youtube.com/watch?v=sUxAVpzZ8hU
+In this video clone this github instead of the YOLO4 github
+
+### Download the required trained weights:
+https://drive.google.com/file/d/1B9WDT8EKs0NLcTynmniGzeyvvGuh_Fcc/view?usp=sharing
+
+### Put the weights in the folder
+~/darknet/build/darknet/x64/backup 
+
+### To use on videos go to the directory: 
+~/darknet/build/darknet/x64
+
+### then run on the command line: 
+darknet.exe detector demo data/obj.data yolo-obj.cfg backup/yolo-obj_best.weights filename_of_your_video
+
+
+# Our Grab Dataset:
+A human grasping dataset taken from different angles.
+
+ ![Imgur](https://i.imgur.com/LqGTzbb.png)
+
+
+https://drive.google.com/file/d/1xeTGrnWud8X1A9PuonK_mwIHl6UsHeUr/view?usp=sharing
+
+
 
 
 
 
 ### DEMO VIDEOS
 
 
-# Results on a video from the Grab Dataset Evaluation Set
+## Results on a video from the Grab Dataset Evaluation Set
 https://drive.google.com/open?id=1Hs_dKiOXMXJupfJTYxankmKEhLa_U2Q0
 
 
 
-# Results on a video from the UTGrasp Dataset 
+## Results on a video from the UTGrasp Dataset 
 https://drive.google.com/open?id=1L9LAARDvmwcIoDtLduz9YnWYOrOeSDeK
 
 
+## Experimental Results:
+Average Precision results at IoU of 0.5 
+
+
+ ![Imgur](https://i.imgur.com/tDVXYCB.png)
+
+
+Average FPS on Videos
+
+![Imgur](https://i.imgur.com/aD0wbOa.png)
+
+Comparison with other Object Detection Architectures in the task of Grab detection:
+
+![Imgur](https://i.imgur.com/t1CBfsG.png)
+
+
+
+
+
 
 
 
 
-Documentation on how to use or further train the object detector will follow  
+