25mm Telephoto Lens for Pi

25mm Telephoto Lens

35mm Telephoto Lens

8-50mm Zoom Lens

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Primary Attribute Category: Category:Raspberry Pi {{{userDefinedInfo}}}: {{{userdefinedvalue}}} Brand: Waveshare

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Onboard Interfaces

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Introductions

Instruction

This is a CS/C lens that needs to be used with the IMX477 12.3MP Camera or Raspberry Pi HQ Camera.

Specification of Lens

Lens	6mm Wide Angle Lens	16mm Telephoto Lens	25mm Telephoto Lens	35mm Telephoto Lens	8-50mm Zoom Lens
F/No	1/2"	1"	2/3"	1"	1/2.3"
Aperture	F1.2	F1.4-16	F1.4-16	F1.7-16	F1.4
Connector	CS-mount	C-mount
FoV	63°	1″ 44.6° × 33.6° 2/3″ 30.0° × 23.2° 1/1.8″ 24.7° × 18.6° 1/2″ 21.8° ×16.4°	2/3" 20.2°×15.1° 1/1.8″ 16.5°×12.4° 1/2″ 14.5°×10.5°	1″ 20.9°×15.8° 2/3″ 14.4°×10.8° 1/2″ 10.5°×7.9°	45°-5.35°
BFL	7.53mm	17.53mm
TTL	-	67.53mm	-
Distortion	-	1″（-0.7%） 1/2″（-0.5%） 1/3″（-0.15%）	0.05%	0.35%	-
M.O.D.	0.20m	0.20m	0.25m	0.30m	0.20m
Dimenstion	Φ30.00 × 34.00mm	Φ39.00 × 50.00mm	Φ34.00×34.00mm	Φ35.00×34.00mm	Φ40.00×68.30mm
Aperature Adjustment	Manual
Weight	53g	133.7g	82g	78g	148g

FAQ

Question:If the picture taken, the white balance effect is not normal?

 Answer:

• In different environments, the white balance effect may not be normal. Users can adjust the parameters according to the actual usage.
• The following OpenCV adjustment code is for reference only. (The code is shared by RPi Camera (G) users)

import picamera
import picamera.array
import cv2
from time import sleep
import numpy as np

def test_gcamera():   
    cv2.namedWindow("img",0)
    with picamera.PiCamera() as camera:
        camera.resolution = (1920, 1080)
        camera.awb_mode = 'off'
        rg, bg = (1.8, 1.4)
        camera.awb_gains = (rg, bg)
        with picamera.array.PiRGBArray(camera) as output:
            for foo in camera.capture_continuous(output, 'rgb', use_video_port=True):
                img = cv2.cvtColor(output.array, cv2.COLOR_RGB2BGR)
                cv2.imshow("img", img)
                cv2.waitKey(1)
                cv2.imwrite("test.jpg",img)
                r, g, b = (np.mean(output.array[..., i]) for i in range(3))
                if abs(r - g) > 2:
                    if r > g:
                        rg -= 0.1
                    else:
                        rg += 0.1
                if abs(b - g) > 1:
                    if b > g:
                        bg -= 0.1
                    else:
                        bg += 0.1
                camera.awb_gains = (rg, bg)
                output.seek(0)
                output.truncate(0)
if __name__=="__main__":
    test_gcamera()

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