# Kraken Map Search ->
map_type = "cars"
cars = KrakenMap(map_type, loop,
path_Ragnar_retrieved_results.format(path_RESULTS),
path_area_of_interest, path_RESULTS)
cars_pipes = cars.initialize(dates)
cars.retrieve(cars_pipes)
cars.download(path_Kraken_retrieved_mapIds.format(path_RESULTS, map_type),
SK_output_files)
map_type = "imagery"
imagery = KrakenMap(map_type, loop,
path_Ragnar_retrieved_results.format(path_RESULTS),
path_area_of_interest, path_RESULTS)
imagery_pipes = imagery.initialize(dates)
imagery.retrieve(imagery_pipes)
imagery.download(path_Kraken_retrieved_mapIds.format(path_RESULTS, map_type),
SK_output_files)
# Kraken Map Search <-
# Counting, Stitching, Combining ->
process = Processing(path_RESULTS)
process.count_cars()
process.stitch_images('cars.png')
process.stitch_images('truecolor.png')
process.combine_imgs(path_RESULTS + "imagery", path_RESULTS + "cars")
# Counting, Stitching, Combining <-
loop.close()
