grahamwaters / pyseas Goto Github PK

View Code? Open in Web Editor NEW

1.0 2.0 0.0 433.11 MB

Using Computer Vision, ML, ESRGAN, and Image Processing to find the best sunsets across the ocean.

Python 17.50% Jupyter Notebook 82.49% Shell 0.02%

computer-vision esrgan machine-learning noaa-data earth-observation environmental-monitoring science weather

pyseas's Issues

Pull data from a buoy given that buoy id

Will need to parse the JSON.

stitch images

Use cv2 to stitch images together in each batch of panels. This presents a challenge due to the imbalanced horizon lines.

create matrix of buoy ids

create a matrix 36 x 36 containing buoy ids

# https://www.ndbc.noaa.gov/buoycam.php?station=xxxxx
# this gets most recent photo from the buoy with the code xxxxx
# https://tidesandcurrents.noaa.gov/api-helper/url-generator.html
#https://www.ndbc.noaa.gov/rss/ndbc_obs_search.php?lat=40N&lon=73W&radius=100

#https://www.ndbc.noaa.gov/data/realtime2/ (station id) .swdir

#https://api.tidesandcurrents.noaa.gov/api/prod/datagetter?begin_date=20130808 15:00&end_date=20130808 15:06&station=8454000&product=water_temperature&units=english&time_zone=gmt&application=ports_screen&format=json

Recommend Projects