Update README.md

README.md

@@ -1,6 +1,39 @@
 # GestureController
+## Requirements
+- Python 3.7.9 (make sure its added to path)
+- Dependences:
+  ```
+  pip install opencv-python
+  pip install keyboard
+  pip install psutil
+  pip install keyboard
+  pip install numpy
+  pip install mediapipe
+  pip install tensorflow
+  pip install pywin32
+  ```
+## Pretrained model
+The model we've generated is targeted to be used to control Spotify on Windows. Please see the diagram below;
+![Spotify Gestures Diagram](https://github.com/Ivolutio/WebcamGestureController/blob/main/gestures.png?raw=true)
 
-## Notes
+## Training your own model
+Create a dataset folder with subfolders named with the gesture. E.g. `datasets/thumbsup`, `datasets/thumbsdown`.
+Use the `take_pics.py` program to capture pictures of you performing the gesture by pressing `Q` on your keyboard.
+The captures are saved in captures, simply put them in the correct dataset folder.
+Now go to `train_model.py` and adjust the datasets property. 
+
+```
+datasets = [
+  Dataset("neutral", 0),
+  Dataset("thumbsup", 1),
+  Dataset("thumbsdown", 2)
+]
+```
+Headsup: Also train the model with enough `neutral` pictures of your hand doing someone unrelated to the gestures you want to use.
+Then simply run the program and it will output a `model.h5` file. 
+Now also update the datasets in the `posedetector.py`.
+
+## Dev Notes
 ### HandLandmarks from MediaPipe
 ```python
 # This is an enumerator for the idx of hand landmarks
@@ -22,4 +55,4 @@ for hand_landmarks in results.multi_hand_landmarks:
     # Test which point
     if idx == HandLandmark.WRIST: 
       # ...
-```
+```