Update experiments

Author: daniilpastukhov

gen2-mask-detection/requirements.txt

@@ -1,4 +1,4 @@
 opencv-python
-blobconverter==1.3.0
-depthai==2.17.0.0
+blobconverter
+depthai-sdk
 numpy

gen2-maskrcnn-resnet50/requirements.txt

@@ -1,4 +1,5 @@
 opencv-python
 numpy
-depthai==2.16.0.0
-blobconverter>=1.2.9
+depthai
+depthai-sdk
+blobconverter

gen2-pedestrian-reidentification/main.py

@@ -29,7 +29,7 @@ def new_result(self, vector_result) -> int:
     person_det = oak.create_nn('person-detection-retail-0013', color)
     # Passthrough is enabled for debugging purposes
     # AspectRatioResizeMode has to be CROP for 2-stage pipelines at the moment
-    person_det.config_nn(aspectRatioResizeMode=AspectRatioResizeMode.CROP)
+    person_det.config_nn(aspect_ratio_resize_mode=AspectRatioResizeMode.CROP)
 
     oak.visualize([person_det, person_det.out.passthrough])
     oak.start(blocking=True)

gen2-people-tracker/main.py

@@ -10,8 +10,8 @@
 with OakCamera(replay='people-tracking-above-03') as oak:
     color_cam = oak.create_camera('color')
     tracker = oak.create_nn('person-detection-retail-0013', color_cam, tracker=True)
-    tracker.config_nn(confThreshold=0.6)
-    tracker.config_tracker(trackLabels=[1], type=dai.TrackerType.ZERO_TERM_COLOR_HISTOGRAM)
+    tracker.config_nn(conf_threshold=0.6)
+    tracker.config_tracker(track_labels=[1], tracker_type=dai.TrackerType.ZERO_TERM_COLOR_HISTOGRAM)
 
     def cb(packet: TrackerPacket, vis: Visualizer):
         left, right, up, down = pt.calculate_tracklet_movement(packet.daiTracklets)
@@ -21,5 +21,5 @@ def cb(packet: TrackerPacket, vis: Visualizer):
 
         cv2.imshow('People Tracker', packet.frame)
 
-    oak.visualize(tracker.out.tracker, callback=cb, record='demo.mp4')
+    oak.visualize(tracker.out.tracker, callback=cb, record_path='demo.mp4')
     oak.start(blocking=True)