Merge pull request #912 from luxonis/develop

1.9.2 release

Author: daniilpastukhov

.gitignore

@@ -59,6 +59,7 @@ resources/*.json
 # Virtual environment
 virtualenv/
 venv/
+.venv/
 
 # DepthAI recordings
 recordings/

.gitmodules

@@ -0,0 +1,3 @@
+[submodule "depthai_sdk/src/depthai_sdk/components/integrations/depthai_pipeline_graph"]
+	path = depthai_sdk/src/depthai_sdk/components/integrations/depthai_pipeline_graph
+	url = https://github.com/luxonis/depthai_pipeline_graph

depthai_sdk/docs/source/conf.py

@@ -22,7 +22,7 @@
 author = 'Luxonis'
 
 # The full version, including alpha/beta/rc tags
-release = '1.0.0'
+release = '1.9.2'
 
 
 # -- General configuration ---------------------------------------------------

depthai_sdk/docs/source/features/recording.rst

@@ -71,7 +71,7 @@ stream and mono streams. You can open the rosbag with the `RealSense Viewer <htt
 -----------------
 
 An alternative to Rosbags are `mcap files <https://github.com/foxglove/mcap>`__ which can be viewed with `Foxglove studio <https://foxglove.dev/>`__.
-You can find `MCAP recording example here <https://github.com/luxonis/depthai/blob/main/depthai_sdk/examples/recording/mcap-record.py>`__.
+You can find `MCAP recording example here <https://github.com/luxonis/depthai/blob/main/depthai_sdk/examples/recording/mcap_record.py>`__.
 Currently supported streams:
 
 - MJPEG encoded color/left/right/disparity. Lossless MJPEG/H264/H265 aren't supported by Foxglove Studio.

depthai_sdk/examples/CameraComponent/cam_ffc.py

@@ -0,0 +1,10 @@
+from depthai_sdk import OakCamera
+
+with OakCamera() as oak:
+    cama = oak.create_camera('cama,c', resolution='1200p')
+    camb = oak.create_camera('camb,c', resolution='1200p')
+    camc = oak.create_camera('camc,c', resolution='1200p')
+    # stereo = oak.create_stereo(left=left, right=right)
+
+    oak.visualize([cama, camb,camc], fps=True, scale=2/3)
+    oak.start(blocking=True)

depthai_sdk/examples/CameraComponent/rgb_mono_preview.py

@@ -5,4 +5,4 @@
     left = oak.create_camera('left')
     right = oak.create_camera('right')
     oak.visualize([color, left, right], fps=True)
-    oak.start(blocking=True)
+    oak.start(blocking=True)

depthai_sdk/examples/NNComponent/deeplabv3_person.py

@@ -1,35 +1,11 @@
-import cv2
-import numpy as np
-
-from depthai_sdk import OakCamera, DetectionPacket, Visualizer
-
-NN_WIDTH, NN_HEIGHT = 513, 513
-
-
-def process_mask(output_tensor):
-    class_colors = [[0, 0, 0], [0, 255, 0]]
-    class_colors = np.asarray(class_colors, dtype=np.uint8)
-    output = output_tensor.reshape(NN_WIDTH, NN_HEIGHT)
-    output_colors = np.take(class_colors, output, axis=0)
-    return output_colors
-
-
-def callback(packet: DetectionPacket, visualizer: Visualizer):
-    frame = packet.frame
-    mask = packet.img_detections.mask
-
-    output_colors = process_mask(mask)
-    output_colors = cv2.resize(output_colors, (frame.shape[1], frame.shape[0]))
-
-    frame = cv2.addWeighted(frame, 1, output_colors, 0.2, 0)
-    cv2.imshow('DeepLabV3 person segmentation', frame)
+from depthai_sdk import OakCamera
 
 
 with OakCamera() as oak:
     color = oak.create_camera('color', resolution='1080p')
 
     nn = oak.create_nn('deeplabv3_person', color)
-    nn.config_nn(resize_mode='stretch')
+    nn.config_nn(resize_mode='letterbox')
 
-    oak.callback(nn, callback=callback)
+    visualizer = oak.visualize([nn, nn.out.passthrough], fps=True)
     oak.start(blocking=True)

depthai_sdk/examples/NNComponent/mobilenet_encoded.py

@@ -0,0 +1,7 @@
+from depthai_sdk import OakCamera
+
+with OakCamera() as oak:
+    color = oak.create_camera('color', encode='mjpeg', fps=10)
+    nn = oak.create_nn('mobilenet-ssd', color, spatial=True)
+    oak.visualize([nn.out.encoded])
+    oak.start(blocking=True)

depthai_sdk/examples/NNComponent/roboflow_integration.py

@@ -8,8 +8,8 @@
     model_config = {
         'source': 'roboflow', # Specify that we are downloading the model from Roboflow
         'model':'american-sign-language-letters/6',
-        'key':'d2OP8nbhA9rZcWd6G8p1' # Fake API key, replace with your own!
+        'key':'181b0f6e43d59ee5ea421cd77f6d9ea2a4b059f8' # Fake API key, replace with your own!
     }
     nn = oak.create_nn(model_config, color)
     oak.visualize(nn, fps=True)
-    oak.start(blocking=True)
+    oak.start(blocking=True)

depthai_sdk/examples/NNComponent/yolo.py

@@ -3,6 +3,6 @@
 with OakCamera() as oak:
     color = oak.create_camera('color')
     nn = oak.create_nn('yolo-v3-tf', color)
-    oak.visualize([nn, color], scale=2 / 3, fps=True) # 1080P -> 720P
+    oak.visualize([nn, color], scale=2 / 3, fps=True)  # 1080P -> 720P
     # oak.show_graph()
-    oak.start(blocking=True)
+    oak.start(blocking=True)