luxonis · PetrNovota · Feb 17, 2026 · Feb 20, 2026 · Feb 21, 2026 · Feb 21, 2026
diff --git a/apps/conference-demos/rgb-depth-connections/README.md b/apps/conference-demos/rgb-depth-connections/README.md
@@ -25,7 +25,7 @@ Here is a list of all available parameters:
 
 ### Installation
 
-You need to first prepare a **Python 3.10** environment with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/)
 

diff --git a/apps/default-app/README.md b/apps/default-app/README.md
@@ -23,7 +23,7 @@ Here is a list of all available parameters:
 
 ### Installation
 
-You need to first prepare a **Python 3.10** environment with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/),
 - [DepthAI Nodes](https://pypi.org/project/depthai-nodes/).

diff --git a/camera-controls/depth-driven-focus/README.md b/camera-controls/depth-driven-focus/README.md
@@ -23,7 +23,7 @@ Here is a list of all available parameters:
 
 ### Installation
 
-You need to first prepare a **Python 3.10** environment with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/),
 - [DepthAI Nodes](https://pypi.org/project/depthai-nodes/).

diff --git a/camera-controls/depth-driven-focus/main.py b/camera-controls/depth-driven-focus/main.py
@@ -1,9 +1,12 @@
+from pathlib import Path
+
 import depthai as dai
 from depthai_nodes.node import ParsingNeuralNetwork, ApplyColormap, DepthMerger
 from utils.arguments import initialize_argparser
 from utils.depth_driven_focus import DepthDrivenFocus
 
 _, args = initialize_argparser()
+MODEL_DIR = Path(__file__).resolve().parent / "depthai_models"
 
 visualizer = dai.RemoteConnection(httpPort=8082)
 device = dai.Device(dai.DeviceInfo(args.device)) if args.device else dai.Device()
@@ -15,7 +18,7 @@
     platform = device.getPlatform()
 
     model_description = dai.NNModelDescription.fromYamlFile(
-        f"yunet.{platform.name}.yaml"
+        str(MODEL_DIR / f"yunet.{platform.name}.yaml")
     )
     nn_archive = dai.NNArchive(dai.getModelFromZoo(model_description))
 

diff --git a/camera-controls/depth-driven-focus/requirements.txt b/camera-controls/depth-driven-focus/requirements.txt
@@ -1,4 +1,4 @@
-depthai==3.0.0
-depthai-nodes==0.3.4
+depthai==3.4.0
+depthai-nodes @ git+https://github.com/luxonis/depthai-nodes.git@changes_for_oak_examples_update
 opencv-python-headless~=4.10.0
 numpy>=1.22
diff --git a/camera-controls/lossless-zooming/README.md b/camera-controls/lossless-zooming/README.md
@@ -27,7 +27,7 @@ Here is a list of all available parameters:
 
 ### Installation
 
-You need to first prepare a **Python 3.10** environment with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/),
 - [DepthAI Nodes](https://pypi.org/project/depthai-nodes/).

diff --git a/camera-controls/lossless-zooming/main.py b/camera-controls/lossless-zooming/main.py
@@ -25,7 +25,13 @@
     else dai.ImgFrame.Type.BGR888p
 )
 
-model_description = dai.NNModelDescription.fromYamlFile(f"yunet.{platform.name}.yaml")
+model_description = dai.NNModelDescription.fromYamlFile(
+    str(
+        Path(__file__).resolve().parent
+        / "depthai_models"
+        / f"yunet.{platform.name}.yaml"
+    )
+)
 nn_archive = dai.NNArchive(dai.getModelFromZoo(model_description))
 model_width = nn_archive.getInputWidth()
 model_height = nn_archive.getInputHeight()

diff --git a/camera-controls/lossless-zooming/requirements.txt b/camera-controls/lossless-zooming/requirements.txt
@@ -1,2 +1,2 @@
-depthai==3.0.0
-depthai-nodes==0.3.4
+depthai==3.4.0
+depthai-nodes @ git+https://github.com/luxonis/depthai-nodes.git@changes_for_oak_examples_update
diff --git a/camera-controls/lossless-zooming/utils/crop_face.py b/camera-controls/lossless-zooming/utils/crop_face.py
@@ -1,6 +1,5 @@
 import depthai as dai
 from typing import Tuple
-from depthai_nodes import ImgDetectionsExtended
 
 AVG_MAX_NUM = 10
 
@@ -15,7 +14,7 @@ class CropFace(dai.node.HostNode):
     Attributes
     ----------
     detections_input : dai.Input
-        The input link for the ImageDetectionsExtended message.
+        The input link for the dai.ImgDetections message.
     config_output : dai.Output
         The output link for the ImageManipConfig messages.
     source_size : Tuple[int, int]
@@ -49,7 +48,7 @@ def build(
         Parameters
         ----------
         detections_input : dai.Node.Output
-            The input link for the ImgDetectionsExtended message
+            The input link for the dai.ImgDetections message
         source_size : Tuple[int, int]
             The size of the source image (width, height).
         target_size : Optional[Tuple[int, int]]
@@ -67,11 +66,11 @@ def build(
 
     def process(self, detection_message: dai.Buffer):
         """Process the input detections and create a crop config. This function is
-        ran every time a new ImgDetectionsExtended message is received.
+        ran every time a new dai.ImgDetections message is received.
 
         Sends one crop configuration to the config_output link.
         """
-        assert isinstance(detection_message, ImgDetectionsExtended)
+        assert isinstance(detection_message, dai.ImgDetections)
         timestamp = detection_message.getTimestamp()
         sequence_num = detection_message.getSequenceNum()
 
@@ -85,7 +84,7 @@ def process(self, detection_message: dai.Buffer):
         if len(dets) > 0:
             cfg.setSkipCurrentImage(False)
             coords = dets[0]
-            rect = coords.rotated_rect
+            rect = coords.getBoundingBox()
 
             x = rect.center.x
             y = rect.center.y

diff --git a/camera-controls/manual-camera-control/README.md b/camera-controls/manual-camera-control/README.md
@@ -56,7 +56,7 @@ The following controls can be selected and modified with `+` and `-` keys:
 
 ### Installation
 
-You need to first prepare a **Python 3.10** environment with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/)
 

diff --git a/camera-controls/manual-camera-control/requirements.txt b/camera-controls/manual-camera-control/requirements.txt
@@ -1,2 +1,2 @@
-depthai==3.0.0
+depthai==3.4.0
 opencv-python-headless~=4.10.0
diff --git a/custom-frontend/open-vocabulary-object-detection/backend/requirements.txt b/custom-frontend/open-vocabulary-object-detection/backend/requirements.txt
@@ -1,5 +1,5 @@
-depthai==3.2.1
-depthai-nodes @ git+https://github.com/luxonis/depthai-nodes.git@f40211e5665473b5db48457640bed18fd1f2cc8d  #InstanceToSemanticMask
+depthai==3.4.0
+depthai-nodes @ git+https://github.com/luxonis/depthai-nodes.git@changes_for_oak_examples_update
 opencv-python-headless~=4.10.0
 numpy>=1.22
 tokenizers~=0.21.0

diff --git a/custom-frontend/open-vocabulary-object-detection/backend/src/nn/label_mapper_node.py b/custom-frontend/open-vocabulary-object-detection/backend/src/nn/label_mapper_node.py
@@ -3,7 +3,6 @@
 
 import depthai as dai
 
-from depthai_nodes import ImgDetectionsExtended
 
 logger = logging.getLogger(__name__)
 
@@ -13,7 +12,7 @@ class DetectionsLabelMapper(dai.node.HostNode):
     Adds label names to detections and aligns detections to a reference frame.
 
     Inputs:
-      - input_detections: dai.ImgDetections or ImgDetectionsExtended
+      - input_detections: dai.ImgDetections
       - input_frame: dai.ImgFrame (reference coordinate space)
 
     Output:
@@ -50,17 +49,8 @@ def build(
     def process(
         self, detections_message: dai.Buffer, frame_message: dai.ImgFrame
     ) -> None:
-        if isinstance(detections_message, ImgDetectionsExtended):
-            # Align detections to frame coordinate space
-            detections_message.setTransformation(frame_message.getTransformation())
-            for detection in detections_message.detections:
-                detection.label_name = self._label_encoding.get(
-                    detection.label, "unknown"
-                )
-        elif isinstance(detections_message, dai.ImgDetections):
-            detections_message.setTransformation(frame_message.getTransformation())
-            for detection in detections_message.detections:
-                detection.labelName = self._label_encoding.get(
-                    detection.label, "unknown"
-                )
+        assert isinstance(detections_message, dai.ImgDetections)
+        detections_message.setTransformation(frame_message.getTransformation())
+        for detection in detections_message.detections:
+            detection.labelName = self._label_encoding.get(detection.label, "unknown")
         self.out.send(detections_message)
diff --git a/custom-frontend/open-vocabulary-object-detection/backend/src/nn/nn_detection_node.py b/custom-frontend/open-vocabulary-object-detection/backend/src/nn/nn_detection_node.py
@@ -27,7 +27,7 @@ class NNDetectionNode(dai.node.ThreadedHostNode):
           -> LabelMapperNode (add label names for visualization)
 
     Exposes:
-      - detections_extended: ImgDetectionsExtended with label names (for visualizer)
+      - detections_extended: dai.ImgDetections with label names (for visualizer)
       - detections: dai.ImgDetections with label names (for snapping)
       - controller: PromptController for dynamic prompt updates (classes, confidence threshold)
     """
@@ -80,7 +80,7 @@ def build(
         # Detection filter
         self._det_filter.build(self._nn.out)
 
-        # Add label for visualization (ImgDetectionsExtended)
+        # Add label for visualization
         self._det_label_mapper.build(
             input_detections=self._det_filter.out, input_frame=input_frame
         )

diff --git a/custom-frontend/raw-stream/README.md b/custom-frontend/raw-stream/README.md
@@ -29,7 +29,7 @@ Here is a list of all available parameters:
 
 #### BackEnd
 
-You need to first prepare a **Python 3.10** environment with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/),
 - [DepthAI Nodes](https://pypi.org/project/depthai-nodes/).

diff --git a/custom-frontend/raw-stream/requirements.txt b/custom-frontend/raw-stream/requirements.txt
@@ -1,2 +1,2 @@
-depthai==3.0.0
+depthai==3.4.0
 numpy>=1.22
diff --git a/depth-measurement/3d-measurement/box-measurement/README.md b/depth-measurement/3d-measurement/box-measurement/README.md
@@ -25,7 +25,7 @@ Here is a list of all available parameters:
 
 ### Installation
 
-You need to first prepare a **Python 3.10** environment with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/),
 - [DepthAI Nodes](https://pypi.org/project/depthai-nodes/).

diff --git a/depth-measurement/3d-measurement/box-measurement/main.py b/depth-measurement/3d-measurement/box-measurement/main.py
@@ -1,3 +1,5 @@
+from pathlib import Path
+
 import depthai as dai
 from depthai_nodes.node import ParsingNeuralNetwork
 from utils.box_processing_node import BoxProcessingNode
@@ -6,6 +8,8 @@
 
 
 _, args = initialize_argparser()
+EXAMPLE_DIR = Path(__file__).resolve().parent
+MODEL_DIR = EXAMPLE_DIR / "depthai_models"
 
 NN_WIDTH, NN_HEIGHT = 512, 320
 INPUT_SHAPE = (NN_WIDTH, NN_HEIGHT)
@@ -21,7 +25,7 @@
     platform = device.getPlatform()
 
     model_description = dai.NNModelDescription.fromYamlFile(
-        f"box_instance_segmentation.{platform.name}.yaml"
+        str(MODEL_DIR / f"box_instance_segmentation.{platform.name}.yaml")
     )
     nn_archive = dai.NNArchive(
         dai.getModelFromZoo(
@@ -76,7 +80,7 @@
 
     color_output.link(manip.inputImage)
 
-    nn = p.create(ParsingNeuralNetwork).build(nn_source=nn_archive, input=manip.out)
+    nn = p.create(ParsingNeuralNetwork).build(nnSource=nn_archive, input=manip.out)
 
     if platform == dai.Platform.RVC2:
         nn.setNNArchive(nn_archive, numShaves=7)

diff --git a/depth-measurement/3d-measurement/box-measurement/requirements.txt b/depth-measurement/3d-measurement/box-measurement/requirements.txt
@@ -1,5 +1,5 @@
-depthai==3.0.0
-depthai-nodes==0.3.4
+depthai==3.4.0
+depthai-nodes @ git+https://github.com/luxonis/depthai-nodes.git@changes_for_oak_examples_update
 numpy>=1.22
 open3d~=0.18
 opencv-python-headless==4.10.0.84
diff --git a/depth-measurement/3d-measurement/box-measurement/utils/box_processing_node.py b/depth-measurement/3d-measurement/box-measurement/utils/box_processing_node.py
@@ -1,10 +1,6 @@
 import depthai as dai
 import numpy as np
 import cv2
-from depthai_nodes.message.img_detections import (
-    ImgDetectionExtended,
-    ImgDetectionsExtended,
-)
 from .helper_functions import reverse_resize_and_pad
 import time
 
@@ -146,11 +142,11 @@ def _fit_cuboid(
         corners3d = np.asarray(outline.points)
         self._draw_cuboid_outline(corners3d)
 
-    def _draw_box_and_label(self, det: ImgDetectionExtended) -> None:
+    def _draw_box_and_label(self, det: dai.ImgDetection) -> None:
         """Draws rotated rect and label"""
 
         # All annotation coordinates are normalized to the NN input size (512×320)
-        rr = det._rotated_rect
+        rr = det.getBoundingBox()
         cx, cy = rr.center.x, rr.center.y
         w, h = rr.size.width, rr.size.height
         angle = rr.angle
@@ -173,18 +169,18 @@ def _draw_box_and_label(self, det: ImgDetectionExtended) -> None:
 
         if self.fit:
             label = (
-                f"Box ({det._confidence:.2f}) "
+                f"Box ({det.confidence:.2f}) "
                 f"{self.dimensions[0]:.1f} x {self.dimensions[1]:.1f} x {self.dimensions[2]:.1f} cm"
             )
         elif self.dimensions_cache is not None and (
             time.time() - self.last_successful_fit < self.cache_duration
         ):
             label = (
-                f"Box ({det._confidence:.2f}) "
+                f"Box ({det.confidence:.2f}) "
                 f"{self.dimensions_cache[0]:.1f} x {self.dimensions_cache[1]:.1f} x {self.dimensions_cache[2]:.1f} cm"
             )
         else:
-            label = f"{'Box'} {det._confidence:.2f}"
+            label = f"{'Box'} {det.confidence:.2f}"
 
         self.helper_det.draw_text(
             label,
@@ -195,7 +191,7 @@ def _draw_box_and_label(self, det: ImgDetectionExtended) -> None:
         )
 
     def _annotate_detection(
-        self, det: ImgDetectionExtended, idx: int, mask: np.ndarray, pcl, pcl_colors
+        self, det: dai.ImgDetection, idx: int, mask: np.ndarray, pcl, pcl_colors
     ):
         """Draw all annotations (mask, 3D box fit, bounding box + label) for a single detection."""
         self._draw_mask(mask, idx)
@@ -217,10 +213,10 @@ def run(self):
 
             assert isinstance(pcl_msg, dai.PointCloudData)
             assert isinstance(rgb_msg, dai.ImgFrame)
-            assert isinstance(det_msg, ImgDetectionsExtended)
+            assert isinstance(det_msg, dai.ImgDetections)
             inPointCloud: dai.PointCloudData = pcl_msg
             inRGB: dai.ImgFrame = rgb_msg
-            parser_output: ImgDetectionsExtended = det_msg
+            parser_output: dai.ImgDetections = det_msg
 
             try:
                 points, colors = inPointCloud.getPointsRGB()
@@ -230,7 +226,7 @@ def run(self):
 
                 rgba_img = colors.reshape(IMG_HEIGHT, IMG_WIDTH, 4)
                 bgr_img = cv2.cvtColor(rgba_img, cv2.COLOR_BGRA2BGR)
-                mask = parser_output._masks._mask
+                mask = parser_output.getCvSegmentationMask()
                 detections = parser_output.detections
                 mask_full = reverse_resize_and_pad(
                     mask, (IMG_WIDTH, IMG_HEIGHT), INPUT_SHAPE

diff --git a/depth-measurement/3d-measurement/rgbd-pointcloud/README.md b/depth-measurement/3d-measurement/rgbd-pointcloud/README.md
@@ -27,7 +27,7 @@ Here is a list of all available parameters:
 
 ### Installation
 
-You need to first prepare a **Python 3.10** environment with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/)
 

diff --git a/depth-measurement/3d-measurement/rgbd-pointcloud/requirements.txt b/depth-measurement/3d-measurement/rgbd-pointcloud/requirements.txt
@@ -1,2 +1,2 @@
-depthai==3.0.0
+depthai==3.4.0
 numpy>=1.22
diff --git a/depth-measurement/3d-measurement/tof-pointcloud/README.md b/depth-measurement/3d-measurement/tof-pointcloud/README.md
@@ -16,7 +16,7 @@ Running this example requires a **Luxonis device** connected to your computer. R
 
 ### Installation
 
-You need to first prepare a **Python 3.10** environment (python versions 3.8 - 3.13 should work too) with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment (python versions 3.8 - 3.13 should work too) with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/),
 - [Open3D](https://pypi.org/project/open3d/)

diff --git a/depth-measurement/calc-spatial-on-host/README.md b/depth-measurement/calc-spatial-on-host/README.md
@@ -29,7 +29,7 @@ Here is a list of all available parameters:
 
 ### Installation
 
-You need to first prepare a **Python 3.10** environment with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/),
 - [DepthAI Nodes](https://pypi.org/project/depthai-nodes/).

diff --git a/depth-measurement/dynamic-calibration/README.md b/depth-measurement/dynamic-calibration/README.md
@@ -87,7 +87,7 @@ Use these keys while the app is running (focus the browser visualizer window):
 
 ## Installation
 
-You need to first prepare a **Python 3.10** environment with the following packages installed:
+You need to first prepare a **Python >= 3.10** environment with the following packages installed:
 
 - [DepthAI](https://pypi.org/project/depthai/),
 - [DepthAI Nodes](https://pypi.org/project/depthai-nodes/).