Dockerfile

@@ -35,8 +35,6 @@ RUN poetry build
 #################
 FROM base
 
-COPY camera_tunning /camera_tuning
-
 RUN mkdir /models
 COPY --from=model-builder /models/mobile_object_localizer_192x192_openvino_2021.4_6shave.blob /models/mobile_object_localizer_192x192_openvino_2021.4_6shave.blob
 

camera/cli.py

@@ -12,10 +12,6 @@ import paho.mqtt.client as mqtt
 
 from camera import oak_pipeline as cam
 
-CAMERA_EXPOSITION_DEFAULT = "default"
-CAMERA_EXPOSITION_8300US = "8300us"
-CAMERA_EXPOSITION_500US = "500us"
-
 logger = logging.getLogger(__name__)
 
 _DEFAULT_CLIENT_ID = "robocar-depthai"
@@ -53,10 +49,6 @@ def _parse_args_cli() -> argparse.Namespace:
                         help="set rate at which camera should produce frames",
                         type=int,
                         default=30)
-    parser.add_argument("--camera-tuning-exposition", type=str,
-                        default=CAMERA_EXPOSITION_DEFAULT,
-                        help="override camera exposition configuration",
-                        choices=[CAMERA_EXPOSITION_DEFAULT, CAMERA_EXPOSITION_500US, CAMERA_EXPOSITION_8300US])
     parser.add_argument("-H", "--image-height", help="image height",
                         type=int,
                         default=_get_env_int_value("IMAGE_HEIGHT", 120))
@@ -106,12 +98,6 @@ def execute_from_command_line() -> None:
                                            objects_threshold=args.objects_threshold)
 
     pipeline = dai.Pipeline()
-    if args.camera_tuning_exposition == CAMERA_EXPOSITION_500US:
-        pipeline.setCameraTuningBlobPath('/camera_tuning/tuning_exp_limit_500us.bin')
-    elif args.camera_tuning_exposition == CAMERA_EXPOSITION_8300US:
-        pipeline.setCameraTuningBlobPath('/camera_tuning/tuning_exp_limit_8300us.bin')
-
-
     pipeline_controller = cam.PipelineController(pipeline=pipeline,
                                                  frame_processor=frame_processor,
                                                  object_processor=object_processor,

camera/oak_pipeline.py

@@ -5,7 +5,6 @@ import abc
 import datetime
 import logging
 import pathlib
-import time
 import typing
 from dataclasses import dataclass
 
@@ -23,9 +22,6 @@ _NN_PATH = "/models/mobile_object_localizer_192x192_openvino_2021.4_6shave.blob"
 _NN_WIDTH = 192
 _NN_HEIGHT = 192
 
-_PREVIEW_WIDTH = 640
-_PREVIEW_HEIGHT = 480
-
 
 class ObjectProcessor:
     """
@@ -207,15 +203,13 @@ class CameraSource(Source):
 
         # Properties
         self._cam_rgb.setBoardSocket(dai.CameraBoardSocket.RGB)
-        self._cam_rgb.setPreviewSize(width=_PREVIEW_WIDTH, height=_PREVIEW_HEIGHT)
+        self._cam_rgb.setPreviewSize(width=img_width, height=img_height)
         self._cam_rgb.setInterleaved(False)
         self._cam_rgb.setColorOrder(dai.ColorCameraProperties.ColorOrder.RGB)
         self._cam_rgb.setFps(fps)
-        self._resize_manip = self._configure_manip(pipeline=pipeline, img_width=img_width, img_height=img_height)
 
         # link camera preview to output
-        self._cam_rgb.preview.link(self._resize_manip.inputImage)
-        self._resize_manip.out.link(self._xout_rgb.input)
+        self._cam_rgb.preview.link(self._xout_rgb.input)
 
     def link(self, input_node: dai.Node.Input) -> None:
         self._cam_rgb.preview.link(input_node)
@@ -223,15 +217,6 @@ class CameraSource(Source):
     def get_stream_name(self) -> str:
         return self._xout_rgb.getStreamName()
 
-    @staticmethod
-    def _configure_manip(pipeline: dai.Pipeline, img_width: int, img_height: int) -> dai.node.ImageManip:
-        # Resize image
-        manip = pipeline.createImageManip()
-        manip.initialConfig.setResize(img_width, img_height)
-        manip.initialConfig.setFrameType(dai.ImgFrame.Type.RGB888p)
-        manip.initialConfig.setKeepAspectRatio(False)
-        return manip
-
 
 @dataclass
 class MqttConfig:
@@ -345,10 +330,6 @@ class PipelineController:
             q_nn = dev.getOutputQueue(name=self._object_node.get_stream_name(), maxSize=queue_size,  # type: ignore
                                       blocking=False)
 
-            start_time = time.time()
-            counter = 0
-            fps = 0
-            display_time = time.time()
             self._stop = False
             while True:
                 if self._stop:
@@ -360,16 +341,6 @@ class PipelineController:
                 except Exception as ex:
                     logger.exception("unexpected error: %s", str(ex))
 
-                counter += 1
-                if (time.time() - start_time) > 1:
-                    fps = counter / (time.time() - start_time)
-                    counter = 0
-                    start_time = time.time()
-                if (time.time() - display_time) >= 10:
-                    display_time = time.time()
-                    logger.info("fps: %s", fps)
-
-
     def _loop_on_camera_events(self, q_nn: dai.DataOutputQueue, q_rgb: dai.DataOutputQueue) -> None:
         logger.debug("wait for new frame")
 
@@ -390,7 +361,6 @@ class PipelineController:
         self._object_processor.process(in_nn, frame_ref)
         logger.debug("objects processed")
 
-
     def stop(self) -> None:
         """
         Stop event loop, if loop is not running, do nothing