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This commit is contained in:
Tobias Eidelpes 2023-02-13 17:54:13 +01:00
parent 0f0e3c414a
commit c0b9022bfc
1 changed files with 49 additions and 36 deletions
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85
jetson-deployment/Autofocus.py
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@ -1,45 +1,57 @@
# MIT License
# Copyright (c) 2019 JetsonHacks
# See license
# Using a CSI camera (such as the Raspberry Pi Version 2) connected to a
# NVIDIA Jetson Nano Developer Kit using OpenCV
# Drivers for the camera and OpenCV are included in the base image
import cv2
import numpy as py
import os
def focusing(val):
value = (val << 4) & 0x3ff0
data1 = (value >> 8) & 0x3f
data2 = value & 0xf0
os.system("i2cset -y 6 0x0c %d %d" % (data1,data2))
value = (val << 4) & 0x3ff0
data1 = (value >> 8) & 0x3f
data2 = value & 0xf0
os.system("i2cset -y 6 0x0c %d %d" % (data1, data2))
def sobel(img):
img_gray = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY)
img_sobel = cv2.Sobel(img_gray,cv2.CV_16U,1,1)
return cv2.mean(img_sobel)[0]
img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
img_sobel = cv2.Sobel(img_gray, cv2.CV_16U, 1, 1)
return cv2.mean(img_sobel)[0]
def laplacian(img):
img_gray = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY)
img_sobel = cv2.Laplacian(img_gray,cv2.CV_16U)
return cv2.mean(img_sobel)[0]
img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
img_sobel = cv2.Laplacian(img_gray, cv2.CV_16U)
return cv2.mean(img_sobel)[0]
# gstreamer_pipeline returns a GStreamer pipeline for capturing from the CSI camera
# Defaults to 1280x720 @ 60fps
# Defaults to 1280x720 @ 60fps
# Flip the image by setting the flip_method (most common values: 0 and 2)
# display_width and display_height determine the size of the window on the screen
def gstreamer_pipeline (capture_width=1920, capture_height=1080, display_width=1280, display_height=720, framerate=29.99999, flip_method=2) :
return ('nvarguscamerasrc ! '
'video/x-raw(memory:NVMM), '
'width=(int)%d, height=(int)%d, '
'format=(string)NV12, framerate=(fraction)%d/1 ! '
'nvvidconv flip-method=%d ! '
'video/x-raw, width=(int)%d, height=(int)%d, format=(string)BGRx ! '
'videoconvert ! '
'video/x-raw, format=(string)BGR ! appsink' % (capture_width,capture_height,framerate,flip_method,display_width,display_height))
def gstreamer_pipeline(capture_width=3264,
capture_height=2464,
framerate=21,
quality=95):
return ('nvarguscamerasrc num-buffers=1 ! '
'video/x-raw(memory:NVMM), '
'width=(int)%d, height=(int)%d, '
'framerate=(fraction)%d/1 ! '
'nvjpegenc quality=%d ! '
'appsink' % (capture_width, capture_height, framerate, quality))
# def gstreamer_pipeline(capture_width=3264,
# capture_height=2464,
# framerate=21):
# return ('nvarguscamerasrc ! '
# 'video/x-raw(memory:NVMM), '
# 'width=(int)%d,height=(int)%d, '
# 'framerate=(fraction)%d/1 ! '
# 'nvvidconv flip-method=2 ! '
# 'video/x-raw,format=(string)BGRx ! '
# 'videoconvert ! '
# 'video/x-raw,format=(string)BGR ! '
# 'appsink' % (capture_width, capture_height, framerate))
def show_camera():
max_index = 10
@ -50,14 +62,15 @@ def show_camera():
focus_finished = False
# To flip the image, modify the flip_method parameter (0 and 2 are the most common)
print(gstreamer_pipeline(flip_method=2))
cap = cv2.VideoCapture(gstreamer_pipeline(flip_method=2), cv2.CAP_GSTREAMER)
cap = cv2.VideoCapture(gstreamer_pipeline(flip_method=2),
cv2.CAP_GSTREAMER)
if cap.isOpened():
window_handle = cv2.namedWindow('CSI Camera', cv2.WINDOW_AUTOSIZE)
# Window
while cv2.getWindowProperty('CSI Camera',0) >= 0:
# Window
while cv2.getWindowProperty('CSI Camera', 0) >= 0:
ret_val, img = cap.read()
cv2.imshow('CSI Camera',img)
cv2.imshow('CSI Camera', img)
if dec_count < 6 and focal_distance < 1000:
#Adjust focus
focusing(focal_distance)
@ -67,7 +80,7 @@ def show_camera():
if val > max_value:
max_index = focal_distance
max_value = val
#If the image clarity starts to decrease
if val < last_value:
dec_count += 1
@ -83,7 +96,7 @@ def show_camera():
#Adjust focus to the best
focusing(max_index)
focus_finished = True
# This also acts as
# This also acts as
keyCode = cv2.waitKey(16) & 0xff
# Stop the program on the ESC key
if keyCode == 27: