Erol444

from depthai_sdk import OakCamera
import cv2
import depthai as dai
import rerun as rr

# Run & initialize ReRun viewer
rr.init('Rerun Oak-D-LR', spawn=True)

# Download and run the tractor recording
with OakCamera(replay="tractor-oak-d-lr") as oak:

Erol444

from openai import OpenAI
from openai.types.beta.threads.message_create_params import Attachment, AttachmentToolFileSearch
import os
from dotenv import load_dotenv
load_dotenv()

import json

# Add your OpenAI API key
client = OpenAI(api_key=os.getenv("OPENAI_KEY"))

Erol444

#!/usr/bin/env python3
import depthai as dai
import cv2

pipeline = dai.Pipeline()

camA = pipeline.createColorCamera()
camA.setBoardSocket(dai.CameraBoardSocket.CAM_A)
camA.setResolution(dai.ColorCameraProperties.SensorResolution.THE_12_MP)

Erol444

#!/usr/bin/env python3

import depthai as dai
import cv2

pipeline = dai.Pipeline()

# Define a source - color camera
cam = pipeline.create(dai.node.ColorCamera)
cam.setResolution(dai.ColorCameraProperties.SensorResolution.THE_5312X6000) # 32MP for still images

Erol444

#!/usr/bin/env python3

import cv2
import depthai as dai
import numpy as np
import time
import blobconverter


# MobilenetSSD label texts

Erol444

#!/usr/bin/env python3

import depthai as dai
import cv2

# Create pipeline
pipeline = dai.Pipeline()

# Define sources and outputs
camRgb = pipeline.create(dai.node.ColorCamera)

Erol444

import depthai as dai

# Connect Device
with dai.Device() as device:
    calibData = device.readCalibration()
    for cam in device.getConnectedCameraFeatures():
        print(f'{cam.name} lens position during calibration: {calibData.getLensPosition(cam.socket)}')

Erol444

#!/usr/bin/env python3

import cv2
import numpy as np
import depthai as dai

# Weights to use when blending depth/rgb image (should equal 1.0)
rgbWeight = 0.4
depthWeight = 0.6

Erol444

import cv2
import numpy as np
import depthai as dai

# Weights to use when blending depth/rgb image (should equal 1.0)
rgbWeight = 0.4
depthWeight = 0.6


msgs = dict()

Erol444

import numpy as np
import colorsys
import cv2
import math
import time


def generate_colors(number_of_colors, pastel=0.5):
    colors = []