thepycoder

[tracker]
enable=1
tracker-width=640
tracker-height=384
gpu-id=0
ll-lib-file=/opt/nvidia/deepstream/deepstream/lib/libnvds_mot_klt.so
#ll-lib-file=/opt/nvidia/deepstream/deepstream/lib/libnvds_nvdcf.so
#ll-config-file=tracker_config.yml
#enable-past-frame=1
enable-batch-process=1

thepycoder

def create_pipeline(self):
        # Create pipeline and set version
        pipeline = dai.Pipeline()
        pipeline.setOpenVINOVersion(version=dai.OpenVINO.Version.VERSION_2021_3)

        # Camera specific settings
        cam = pipeline.createColorCamera()
        cam.setPreviewSize(*self.nn_shape)
        cam.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
        cam.setInterleaved(False)

thepycoder

def run(self):
    pipeline = self.create_pipeline()
    # Pipeline defined, now the device is connected to
    with dai.Device(pipeline) as device:
        # Start pipeline
        device.startPipeline()

        # Set queues to be read from later
        self.high_quality_out = device.getOutputQueue(name="high_quality_out", maxSize=4, blocking=False)
        self.detection_out = device.getOutputQueue(name="detection_out", maxSize=4, blocking=False)

thepycoder

def pipe_to_virtual_webcam(self):
    with pyvirtualcam.Camera(width=854, height=480, fps=30) as cam:
        print(f'Using virtual camera: {cam.device}')
        while self.is_running:
            frame = self.webcam_queue.get()
            cam.send(frame)
            cam.sleep_until_next_frame()

thepycoder

from clearml import Task
task = Task.init(project_name="HPO Example", task_name="basic dict example")
 
example_configuration = {
   'epochs': 3,
   'lr': 0.001,
   'comments': 'I like apple juice'
}
 
task.connect(example_configuration)

thepycoder

from clearml import Task
task = Task.init(project_name="HPO Example", task_name="basic dict example")

thepycoder

example_configuration = {
   'epochs': 3,
   'lr': 0.001,
   'comments': 'I like apple juice'
}
 
task.connect(example_configuration)

thepycoder

class Model:
   def run():
       return example_configuration['epochs'] * 10
 
model_output = Model().run()

thepycoder

logger = task.get_logger()
 
logger.report_scalar('Optimization Metric', 'model_output', iteration=0, value=model_output)

thepycoder

from clearml.automation import UniformParameterRange, UniformIntegerParameterRange, DiscreteParameterRange
from clearml.automation import HyperParameterOptimizer
from clearml.automation import GridSearch
 
from clearml import Task
 
task = Task.init(project_name='HPO Code',
                task_name='basic dict optimizer',
                task_type=Task.TaskTypes.optimizer,
                reuse_last_task_id=False)