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 = []

Erol444

#!/usr/bin/env python3

import depthai as dai
import numpy as np
import sys
from pathlib import Path
import math
import cv2

np.set_printoptions(suppress=True)

Erol444

#!/usr/bin/env python3

import cv2
import numpy as np
import depthai as dai


# Optional. If set (True), the ColorCamera is downscaled from 1080p to 720p.
# Otherwise (False), the aligned depth is automatically upscaled to 1080p
downscaleColor = True

Erol444

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

pipeline = dai.Pipeline()

camRgb = pipeline.create(dai.node.ColorCamera)
camRgb.setColorOrder(dai.ColorCameraProperties.ColorOrder.RGB)
camRgb.setIspScale(2,3)

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