update pipeline info

README.md

@@ -1,4 +1,28 @@
-Start two processes:
+# The crowd will tell us
+
+## Pipeline
+
+* _Gphoto2_ takes pictures (not vm) into a 'pictures/{1,2,3}' dir.
+* These get splitted by *split_and_merge_output.py* to a 'segments' subdir. (To be able to detect smaller faces)
+* Our modified _opencv-webcam-demo_ will analyse these images and output json
+* The same *split_and_merge_output.py* process will detect the segment jsons and merge them back into the 'pictures/{1,2,3}' dir. It subsequently deletes the segmented photos
+
+[TODO: remove duplicate faces on merge]
+
+Now we have our dataset of photo's with JSONS.
+
+To output:
+
+* `parse_output.py -o ~/pictures/{1,2,3} --json --window-size 10 > ~/sdk-samples/output/talk1.json` Creates a json file suitable for webbrowser graphing
+* `python parse_output.py -o ~/pictures/{1,2,3} --wav ~/pictures/{1,2,3}.wav --targetDir /home/crowd/sdk-samples/output/1 --window-size 10` Assumes a WAVE file that starts simultaneously with frame 1. and splits it into the windows
+* Start server for graph.php & image.php `cd ~/sdk-samples && php -S 0.0.0.0:8000`
+* Navigate to: `http://192.168.178.33:8000/graphs.php` to view images
+
+Done :-)
+
+## Commands
+
+Start a few processes:
 
 gphoto2 to capture images every 2 sec: