ROV Computer Vision

Calibration

Place uncalibrated checkerboard images in a directory data/calibration_imgs/original
While in the X16-CV directory, run python calibration/calibrate.py. This will display the calibrated images, write then to a new directory, and create a calibration file
To examine the results, run python calibration/display.py. This will show the calibrated and uncalibrated images side by side. POC: Nathaniel C.

Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
cad_test		cad_test
calibration		calibration
capture		capture
classifier		classifier
color_segmentation_test		color_segmentation_test
corner_finding		corner_finding
data		data
monocular_depth		monocular_depth
ratio		ratio
.gitignore		.gitignore
Photosphere.py		Photosphere.py
README.md		README.md
calibration_res.txt		calibration_res.txt
crop2.png		crop2.png
cropp.png		cropp.png
data.csv		data.csv
image.jpeg		image.jpeg
index.html		index.html
live_rect_detection.py		live_rect_detection.py
main.py		main.py
monoc_detect.py		monoc_detect.py
monocular_rects.py		monocular_rects.py
otsu.py		otsu.py
rahhhhh.jpg		rahhhhh.jpg
red_filter.py		red_filter.py
requirements.txt		requirements.txt
stereo.py		stereo.py
torch-conda.yml		torch-conda.yml
undistorted_camera.py		undistorted_camera.py