Replace aspectRatioResizeMode with aspect_ratio_resize_mode, remove CallbackContext where it remained

Author: daniilpastukhov

gen2-emotion-recognition/main.py

@@ -9,7 +9,7 @@
     det = oak.create_nn('face-detection-retail-0004', color)
     # Passthrough is enabled for debugging purposes
     # AspectRatioResizeMode has to be CROP for 2-stage pipelines at the moment
-    det.config_nn(aspectRatioResizeMode=AspectRatioResizeMode.CROP)
+    det.config_nn(aspect_ratio_resize_mode=AspectRatioResizeMode.CROP)
 
     emotion_nn = oak.create_nn('emotions-recognition-retail-0003', input=det)
     # emotion_nn.config_multistage_nn(show_cropped_frames=True) # For debugging

gen2-full-fov-nn/cropping.py

@@ -3,6 +3,6 @@
 with OakCamera() as oak:
     color = oak.create_camera('color')
     nn = oak.create_nn('mobilenet-ssd', color)
-    nn.config_nn(aspectRatioResizeMode=AspectRatioResizeMode.CROP)
+    nn.config_nn(aspect_ratio_resize_mode=AspectRatioResizeMode.CROP)
     oak.visualize([nn, nn.out.passthrough], fps=True)
-    oak.start(blocking=True)
+    oak.start(blocking=True)

gen2-full-fov-nn/letterboxing.py

@@ -3,6 +3,6 @@
 with OakCamera() as oak:
     color = oak.create_camera('color')
     nn = oak.create_nn('mobilenet-ssd', color)
-    nn.config_nn(aspectRatioResizeMode=AspectRatioResizeMode.LETTERBOX)
+    nn.config_nn(aspect_ratio_resize_mode=AspectRatioResizeMode.LETTERBOX)
     oak.visualize([nn, nn.out.passthrough], fps=True)
     oak.start(blocking=True)

gen2-full-fov-nn/stretching.py

@@ -3,6 +3,6 @@
 with OakCamera() as oak:
     color = oak.create_camera('color')
     nn = oak.create_nn('mobilenet-ssd', color)
-    nn.config_nn(aspectRatioResizeMode=AspectRatioResizeMode.STRETCH)
+    nn.config_nn(aspect_ratio_resize_mode=AspectRatioResizeMode.STRETCH)
     oak.visualize([nn, nn.out.passthrough], fps=True)
     oak.start(blocking=True)

gen2-head-posture-detection/main.py

@@ -9,7 +9,7 @@
     det = oak.create_nn('face-detection-retail-0004', color)
     # Passthrough is enabled for debugging purposes
     # AspectRatioResizeMode has to be CROP for 2-stage pipelines at the moment
-    det.config_nn(aspectRatioResizeMode=AspectRatioResizeMode.CROP)
+    det.config_nn(aspect_ratio_resize_mode=AspectRatioResizeMode.CROP)
 
     emotion_nn = oak.create_nn('head-pose-estimation-adas-0001', input=det)
     # emotion_nn.config_multistage_nn(show_cropped_frames=True) # For debugging

gen2-mask-detection/main.py

@@ -11,7 +11,7 @@ def log_softmax(x):
 
     det = oak.create_nn('face-detection-retail-0004', color)
     # AspectRatioResizeMode has to be CROP for 2-stage pipelines at the moment
-    det.config_nn(aspectRatioResizeMode=AspectRatioResizeMode.CROP)
+    det.config_nn(aspect_ratio_resize_mode=AspectRatioResizeMode.CROP)
 
     mask = oak.create_nn('sbd_mask_classification_224x224', input=det)
     # mask.config_multistage_nn(show_cropped_frames=True) # For debugging

sdk_todo/sdk-efficient-det/main.py

@@ -1,10 +1,8 @@
 import cv2
-import depthai
 import numpy as np
 from depthai import NNData
 
 from depthai_sdk import OakCamera, Detections
-from depthai_sdk.callback_context import CallbackContext
 
 CONF_THRESHOLD = 0.4
 SHAPE = 320
@@ -18,6 +16,7 @@
            "mouse", "remote", "keyboard", "cell phone", "microwave", "oven", "toaster", "sink", "refrigerator", "83",
            "book", "clock", "vase", "scissors", "teddy bear", "hair drier", "toothbrush"]
 
+
 def decode(nn_data: NNData):
     bb = np.array(nn_data.getLayerFp16('Identity')).reshape(25, 4)
     label = nn_data.getLayerInt32('Identity_1')
@@ -27,9 +26,7 @@ def decode(nn_data: NNData):
     # for det in bb:
 
 
-def callback(ctx: CallbackContext):
-    packet = ctx.packet
-
+def callback(packet, visualizer):
     frame = packet.frame
     nn_data = packet.img_detections
 

sdk_todo/sdk-gaze-estimation/main.py

@@ -2,15 +2,12 @@
 import numpy as np
 
 from depthai_sdk import OakCamera, AspectRatioResizeMode
-from depthai_sdk.callback_context import CallbackContext
 from depthai_sdk.oak_outputs.normalize_bb import NormalizeBoundingBox
 
 CONFIDENCE = 0.7
 
 
-def callback(ctx: CallbackContext):
-    packet = ctx.packet
-
+def callback(packet, visualizer):
     nn_data = packet.img_detections
     bboxes = np.array(nn_data.getFirstLayerFp16())
     bboxes = bboxes.reshape((bboxes.size // 7, 7))