# 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()