capture images on demand.

app.py

@@ -5,7 +5,7 @@
 from concurrent.futures import ThreadPoolExecutor
 import queue
 from bluetooth import BluetoothConnection
-from camera_scenes_feed import run_video_cam
+from camera_feed import run_video_cam, capture
 from io_types import *
 from object_detection.objectDetection_lite import detect as detect_objects
 import time
@@ -43,8 +43,8 @@ def process_tasks(remote: BluetoothConnection):
                 log('MODE_CHANGE_EMOTIONS')
             elif change_type == MODE_CHANGE_OBJECT_DETECTION:
                 log('MODE_CHANGE_OBJECT_DETECTION')
-                objs = pretty_objects(detect_objects(current_frame))
-                log('object detection results:\n', json_of_result(RESULT_OBJECT_DETECTION, objs))
+                objs = pretty_objects(detect_objects(capture()))
+                log('object detection results: ', objs)
                 remote.send(json_of_result(RESULT_OBJECT_DETECTION, objs))
         log("process: ", task)
 

camera_scenes_feed.py → camera_feed.py

@@ -6,11 +6,15 @@
 from scenedetect.detectors import ContentDetector
 from typing import Callable
 
+cam = cv2.VideoCapture(0)
+
+
+def capture():
+    return cam.read()[1]
+
 
 def run_video_cam(on_new_scene: Callable):
-    cam = cv2.VideoCapture(0)
-    _, first_scene = cam.read()
-    on_new_scene(first_scene)
+    on_new_scene(capture())
     scene_manager = SceneManager()
     scene_manager.add_detector(ContentDetector())
     scene_manager.detect_scenes(frame_source=cam, callback=on_new_scene)