updated folder path
Browse files
app.py
CHANGED
@@ -13,31 +13,35 @@ AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID")
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AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")
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# Predefined list of datasets
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datasets = ["MajorTom-Germany", "MajorTom-Netherlands","WayveScenes"]
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folder_path_dict = {
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"WayveScenes": "
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"MajorTom-Germany": "MajorTOM-DE/",
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"MajorTom-Netherlands": "MajorTOM-NL/",
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"MajorTom-UK" :""
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}
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description = {
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"WayveScenes": "A large-scale dataset featuring diverse urban driving scenes, captured from vehicles to advance AI perception and navigation in complex environments.",
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"MajorTom-Germany": "A geospatial dataset containing satellite imagery from across Germany, designed for tasks like land-use classification, environmental monitoring, and earth observation analytics.",
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"MajorTom-Netherlands": "A geospatial dataset containing satellite imagery from across Netherlands, designed for tasks like land-use classification, environmental monitoring, and earth observation analytics.",
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"MajorTom-UK" :"A geospatial dataset containing satellite imagery from across the United Kingdom, designed for tasks like land-use classification, environmental monitoring, and earth observation analytics."
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}
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selection = {
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'WayveScenes': [1, 10], #Is there problem?
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"MajorTom-Germany": [1, 1],
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"MajorTom-Netherlands": [1,1],
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"MajorTom-UK": [1,1]
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}
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example_queries = {
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'WayveScenes': "Parking Signs, Pedestrian Crossing, Traffic Light (Red, Green, Orange)",
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"MajorTom-Germany": "Airports, Golf Courses, Wind Mills, Solar Panels ",
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"MajorTom-Netherlands": "Airports, Golf Courses, Wind Mills, Solar Panels ",
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"MajorTom-UK": "Airports, Golf Courses, Wind Mills, Solar Panels "
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}
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AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_ACCESS_KEY")
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# Predefined list of datasets
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datasets = ["MajorTom-Germany", "MajorTom-Netherlands","WayveScenes", "MajorTom-Europe"]
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folder_path_dict = {
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"WayveScenes": "",
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"MajorTom-Germany": "MajorTOM-DE/",
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"MajorTom-Netherlands": "MajorTOM-NL/",
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"MajorTom-Europe": "MajorTom-Europe/",
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"MajorTom-UK" :""
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}
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description = {
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"WayveScenes": "A large-scale dataset featuring diverse urban driving scenes, captured from vehicles to advance AI perception and navigation in complex environments.",
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"MajorTom-Germany": "A geospatial dataset containing satellite imagery from across Germany, designed for tasks like land-use classification, environmental monitoring, and earth observation analytics.",
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"MajorTom-Netherlands": "A geospatial dataset containing satellite imagery from across Netherlands, designed for tasks like land-use classification, environmental monitoring, and earth observation analytics.",
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"MajorTom-UK" :"A geospatial dataset containing satellite imagery from across the United Kingdom, designed for tasks like land-use classification, environmental monitoring, and earth observation analytics.",
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"MajorTom-Europe" :"A geospatial dataset containing satellite imagery from across Europe, designed for tasks like land-use classification, environmental monitoring, and earth observation analytics."
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}
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selection = {
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'WayveScenes': [1, 10], #Is there problem?
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"MajorTom-Germany": [1, 1],
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"MajorTom-Netherlands": [1,1],
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"MajorTom-UK": [1,1],
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"MajorTom-Europe": [1,19]
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}
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example_queries = {
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'WayveScenes': "Parking Signs, Pedestrian Crossing, Traffic Light (Red, Green, Orange)",
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"MajorTom-Germany": "Airports, Golf Courses, Wind Mills, Solar Panels ",
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"MajorTom-Netherlands": "Airports, Golf Courses, Wind Mills, Solar Panels ",
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"MajorTom-UK": "Airports, Golf Courses, Wind Mills, Solar Panels ",
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"MajorTom-Europe": "Airports, Golf Courses, Wind Mills, Solar Panels "
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}
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