feat(object-detection): apply detection on big image
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@ -22,6 +22,9 @@ _NN_PATH = "/models/mobile_object_localizer_192x192_openvino_2021.4_6shave.blob"
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_NN_WIDTH = 192
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_NN_HEIGHT = 192
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_PREVIEW_WIDTH = 640
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_PREVIEW_HEIGHT = 480
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class ObjectProcessor:
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"""
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@ -203,13 +206,15 @@ class CameraSource(Source):
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# Properties
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self._cam_rgb.setBoardSocket(dai.CameraBoardSocket.RGB)
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self._cam_rgb.setPreviewSize(width=img_width, height=img_height)
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self._cam_rgb.setPreviewSize(width=_PREVIEW_WIDTH, height=_PREVIEW_HEIGHT)
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self._cam_rgb.setInterleaved(False)
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self._cam_rgb.setColorOrder(dai.ColorCameraProperties.ColorOrder.RGB)
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self._cam_rgb.setFps(fps)
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self._resize_manip = self._configure_manip(pipeline=pipeline, img_width=img_width, img_height=img_height)
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# link camera preview to output
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self._cam_rgb.preview.link(self._xout_rgb.input)
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self._cam_rgb.preview.link(self._resize_manip.inputImage)
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self._resize_manip.out.link(self._xout_rgb.input)
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def link(self, input_node: dai.Node.Input) -> None:
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self._cam_rgb.preview.link(input_node)
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@ -217,6 +222,15 @@ class CameraSource(Source):
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def get_stream_name(self) -> str:
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return self._xout_rgb.getStreamName()
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@staticmethod
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def _configure_manip(pipeline: dai.Pipeline, img_width: int, img_height: int) -> dai.node.ImageManip:
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# Resize image
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manip = pipeline.createImageManip()
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manip.initialConfig.setResize(img_width, img_height)
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manip.initialConfig.setFrameType(dai.ImgFrame.Type.RGB888p)
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manip.initialConfig.setKeepAspectRatio(False)
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return manip
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@dataclass
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class MqttConfig:
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