Training in progress epoch 0
Browse files- README.md +25 -310
- config.json +12 -296
- tf_model.h5 +2 -2
README.md
CHANGED
@@ -15,312 +15,28 @@ probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [nvidia/segformer-b3-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b3-finetuned-ade-512-512) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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- Validation Loss: 0.
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- Validation Mean Iou: 0.
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- Validation Mean Accuracy: 0.
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- Validation Overall Accuracy: 0.
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- Validation Accuracy
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- Validation Accuracy Building:
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- Validation Accuracy
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- Validation Accuracy
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- Validation Accuracy Tree:
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- Validation Accuracy
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- Validation Accuracy
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- Validation Accuracy
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- Validation
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- Validation
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- Validation
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- Validation
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- Validation
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- Validation
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- Validation
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- Validation
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- Validation Accuracy Plant: nan
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- Validation Accuracy Curtain: nan
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- Validation Accuracy Chair: 0.0
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- Validation Accuracy Car: nan
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- Validation Accuracy Water: nan
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- Validation Accuracy Painting: nan
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- Validation Accuracy Sofa: nan
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- Validation Accuracy Shelf: nan
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- Validation Accuracy House: nan
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- Validation Accuracy Sea: nan
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- Validation Accuracy Mirror: nan
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- Validation Accuracy Rug: nan
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- Validation Accuracy Field: nan
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- Validation Accuracy Armchair: nan
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- Validation Accuracy Seat: nan
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- Validation Accuracy Fence: nan
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- Validation Accuracy Desk: nan
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- Validation Accuracy Rock: nan
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- Validation Accuracy Wardrobe: nan
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- Validation Accuracy Lamp: nan
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- Validation Accuracy Bathtub: nan
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- Validation Accuracy Railing: nan
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- Validation Accuracy Cushion: nan
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- Validation Accuracy Base: nan
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- Validation Accuracy Box: nan
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- Validation Accuracy Column: nan
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- Validation Accuracy Signboard: nan
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- Validation Accuracy Chest of drawers: nan
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- Validation Accuracy Counter: nan
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- Validation Accuracy Sand: nan
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- Validation Accuracy Sink: nan
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- Validation Accuracy Skyscraper: nan
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- Validation Accuracy Fireplace: nan
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- Validation Accuracy Refrigerator: nan
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- Validation Accuracy Grandstand: nan
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- Validation Accuracy Path: nan
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- Validation Accuracy Stairs: nan
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- Validation Accuracy Runway: nan
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- Validation Accuracy Case: nan
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- Validation Accuracy Pool table: nan
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- Validation Accuracy Pillow: nan
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- Validation Accuracy Screen door: nan
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- Validation Accuracy Stairway: nan
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- Validation Accuracy River: nan
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- Validation Accuracy Bridge: nan
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- Validation Accuracy Bookcase: nan
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- Validation Accuracy Blind: nan
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- Validation Accuracy Coffee table: nan
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- Validation Accuracy Toilet: nan
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- Validation Accuracy Flower: nan
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- Validation Accuracy Book: nan
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- Validation Accuracy Hill: nan
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- Validation Accuracy Bench: nan
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- Validation Accuracy Countertop: nan
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- Validation Accuracy Stove: nan
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- Validation Accuracy Palm: nan
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- Validation Accuracy Kitchen island: nan
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- Validation Accuracy Computer: nan
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- Validation Accuracy Swivel chair: nan
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- Validation Accuracy Boat: nan
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- Validation Accuracy Bar: nan
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- Validation Accuracy Arcade machine: nan
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- Validation Accuracy Hovel: nan
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- Validation Accuracy Bus: nan
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- Validation Accuracy Towel: nan
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- Validation Accuracy Light: nan
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- Validation Accuracy Truck: nan
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- Validation Accuracy Tower: nan
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- Validation Accuracy Chandelier: nan
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- Validation Accuracy Awning: nan
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- Validation Accuracy Streetlight: nan
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- Validation Accuracy Booth: nan
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- Validation Accuracy Television receiver: nan
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- Validation Accuracy Airplane: nan
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- Validation Accuracy Dirt track: nan
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- Validation Accuracy Apparel: nan
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- Validation Accuracy Pole: nan
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- Validation Accuracy Land: nan
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- Validation Accuracy Bannister: nan
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- Validation Accuracy Escalator: nan
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- Validation Accuracy Ottoman: nan
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- Validation Accuracy Bottle: nan
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- Validation Accuracy Buffet: nan
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- Validation Accuracy Poster: nan
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- Validation Accuracy Stage: nan
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- Validation Accuracy Van: nan
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- Validation Accuracy Ship: nan
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- Validation Accuracy Fountain: nan
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- Validation Accuracy Conveyer belt: nan
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- Validation Accuracy Canopy: nan
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- Validation Accuracy Washer: nan
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- Validation Accuracy Plaything: nan
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- Validation Accuracy Swimming pool: nan
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- Validation Accuracy Stool: nan
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- Validation Accuracy Barrel: nan
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- Validation Accuracy Basket: nan
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- Validation Accuracy Waterfall: nan
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- Validation Accuracy Tent: nan
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- Validation Accuracy Bag: nan
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- Validation Accuracy Minibike: nan
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- Validation Accuracy Cradle: nan
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- Validation Accuracy Oven: nan
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- Validation Accuracy Ball: nan
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- Validation Accuracy Food: nan
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- Validation Accuracy Step: nan
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- Validation Accuracy Tank: nan
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- Validation Accuracy Trade name: nan
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- Validation Accuracy Microwave: nan
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- Validation Accuracy Pot: nan
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- Validation Accuracy Animal: nan
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- Validation Accuracy Bicycle: nan
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- Validation Accuracy Lake: nan
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- Validation Accuracy Dishwasher: nan
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- Validation Accuracy Screen: nan
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- Validation Accuracy Blanket: nan
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- Validation Accuracy Sculpture: nan
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- Validation Accuracy Hood: nan
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- Validation Accuracy Sconce: nan
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- Validation Accuracy Vase: nan
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- Validation Accuracy Traffic light: nan
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- Validation Accuracy Tray: nan
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- Validation Accuracy Ashcan: nan
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- Validation Accuracy Fan: nan
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- Validation Accuracy Pier: nan
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- Validation Accuracy Crt screen: nan
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- Validation Accuracy Plate: nan
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- Validation Accuracy Monitor: nan
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- Validation Accuracy Bulletin board: nan
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- Validation Accuracy Shower: nan
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- Validation Accuracy Radiator: nan
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- Validation Accuracy Glass: nan
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- Validation Accuracy Clock: nan
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- Validation Accuracy Flag: nan
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- Validation Iou Wall: 0.0001
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- Validation Iou Building: 0.0
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- Validation Iou Sky: 0.0
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- Validation Iou Floor: 0.0
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- Validation Iou Tree: 0.0
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- Validation Iou Ceiling: 0.0
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- Validation Iou Road: 0.0
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- Validation Iou Bed : nan
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- Validation Iou Windowpane: nan
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- Validation Iou Grass: nan
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- Validation Iou Cabinet: nan
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- Validation Iou Sidewalk: 0.0
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- Validation Iou Person: 0.0
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- Validation Iou Earth: nan
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- Validation Iou Door: nan
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- Validation Iou Table: nan
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- Validation Iou Mountain: nan
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- Validation Iou Plant: 0.0
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- Validation Iou Curtain: nan
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- Validation Iou Chair: 0.0
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- Validation Iou Car: 0.0
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- Validation Iou Water: nan
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- Validation Iou Painting: nan
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- Validation Iou Sofa: nan
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- Validation Iou Shelf: nan
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- Validation Iou House: nan
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- Validation Iou Sea: nan
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- Validation Iou Mirror: nan
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- Validation Iou Rug: nan
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- Validation Iou Field: nan
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- Validation Iou Armchair: nan
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- Validation Iou Seat: nan
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- Validation Iou Fence: nan
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- Validation Iou Desk: nan
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- Validation Iou Rock: nan
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- Validation Iou Wardrobe: nan
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- Validation Iou Lamp: nan
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- Validation Iou Bathtub: nan
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- Validation Iou Railing: nan
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- Validation Iou Cushion: nan
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- Validation Iou Base: nan
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- Validation Iou Box: nan
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- Validation Iou Column: nan
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- Validation Iou Signboard: 0.0
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- Validation Iou Chest of drawers: nan
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- Validation Iou Counter: nan
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- Validation Iou Sand: nan
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- Validation Iou Sink: nan
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- Validation Iou Skyscraper: nan
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- Validation Iou Fireplace: nan
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- Validation Iou Refrigerator: nan
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- Validation Iou Grandstand: nan
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- Validation Iou Path: nan
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- Validation Iou Stairs: nan
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- Validation Iou Runway: nan
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- Validation Iou Case: nan
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- Validation Iou Pool table: nan
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- Validation Iou Pillow: nan
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- Validation Iou Screen door: nan
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- Validation Iou Stairway: nan
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- Validation Iou River: nan
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- Validation Iou Bridge: nan
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- Validation Iou Bookcase: nan
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- Validation Iou Blind: nan
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- Validation Iou Coffee table: nan
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- Validation Iou Toilet: nan
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- Validation Iou Flower: nan
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- Validation Iou Book: nan
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- Validation Iou Hill: nan
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- Validation Iou Bench: nan
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- Validation Iou Countertop: nan
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- Validation Iou Stove: nan
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- Validation Iou Palm: nan
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- Validation Iou Kitchen island: nan
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- Validation Iou Computer: nan
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- Validation Iou Swivel chair: nan
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- Validation Iou Boat: nan
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- Validation Iou Bar: nan
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- Validation Iou Arcade machine: nan
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- Validation Iou Hovel: nan
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- Validation Iou Bus: nan
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- Validation Iou Towel: nan
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- Validation Iou Light: nan
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- Validation Iou Truck: nan
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- Validation Iou Tower: nan
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- Validation Iou Chandelier: nan
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- Validation Iou Awning: nan
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- Validation Iou Streetlight: nan
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- Validation Iou Booth: nan
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- Validation Iou Television receiver: nan
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- Validation Iou Airplane: nan
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- Validation Iou Dirt track: nan
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- Validation Iou Apparel: nan
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- Validation Iou Pole: nan
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- Validation Iou Land: nan
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- Validation Iou Bannister: nan
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- Validation Iou Escalator: nan
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- Validation Iou Ottoman: nan
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- Validation Iou Bottle: nan
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- Validation Iou Buffet: nan
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- Validation Iou Poster: nan
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- Validation Iou Stage: nan
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- Validation Iou Van: nan
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- Validation Iou Ship: nan
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- Validation Iou Fountain: nan
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- Validation Iou Conveyer belt: nan
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- Validation Iou Canopy: nan
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- Validation Iou Washer: nan
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- Validation Iou Plaything: nan
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- Validation Iou Swimming pool: nan
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- Validation Iou Stool: nan
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- Validation Iou Barrel: nan
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- Validation Iou Basket: nan
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- Validation Iou Waterfall: nan
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- Validation Iou Tent: nan
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- Validation Iou Bag: nan
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- Validation Iou Minibike: nan
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- Validation Iou Cradle: nan
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- Validation Iou Oven: nan
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- Validation Iou Ball: nan
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- Validation Iou Food: nan
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- Validation Iou Step: nan
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- Validation Iou Tank: nan
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- Validation Iou Trade name: nan
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- Validation Iou Microwave: nan
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- Validation Iou Pot: nan
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- Validation Iou Animal: nan
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- Validation Iou Bicycle: nan
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- Validation Iou Lake: nan
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- Validation Iou Dishwasher: nan
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- Validation Iou Screen: nan
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- Validation Iou Blanket: nan
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- Validation Iou Sculpture: nan
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- Validation Iou Hood: nan
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- Validation Iou Sconce: nan
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- Validation Iou Vase: nan
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- Validation Iou Traffic light: nan
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- Validation Iou Tray: nan
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- Validation Iou Ashcan: nan
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- Validation Iou Fan: nan
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- Validation Iou Pier: nan
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- Validation Iou Crt screen: nan
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- Validation Iou Plate: nan
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- Validation Iou Monitor: nan
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- Validation Iou Bulletin board: nan
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- Validation Iou Shower: nan
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- Validation Iou Radiator: nan
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- Validation Iou Glass: nan
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- Validation Iou Clock: nan
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- Validation Iou Flag: nan
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- Epoch: 1
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## Model description
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### Training results
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| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy
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| 1.
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| 0.4398 | 0.4008 | 0.0000 | 0.0000 | 0.0000 | 0.0001 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0001 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 1 |
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### Framework versions
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This model is a fine-tuned version of [nvidia/segformer-b3-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b3-finetuned-ade-512-512) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.2150
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- Validation Loss: 0.6691
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- Validation Mean Iou: 0.0149
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- Validation Mean Accuracy: 0.0576
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- Validation Overall Accuracy: 0.0526
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- Validation Accuracy Clutter: 0.0355
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- Validation Accuracy Building: 0.0698
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- Validation Accuracy Road: 0.1084
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- Validation Accuracy Static Car: 0.0000
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- Validation Accuracy Tree: 0.1892
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- Validation Accuracy Vegetation: 0.0
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- Validation Accuracy Human: 0.0
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- Validation Accuracy Moving Car: nan
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- Validation Iou Clutter: 0.0241
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- Validation Iou Building: 0.0108
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- Validation Iou Road: 0.0100
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- Validation Iou Static Car: 0.0000
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- Validation Iou Tree: 0.0739
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- Validation Iou Vegetation: 0.0
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- Validation Iou Human: 0.0
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- Validation Iou Moving Car: 0.0
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- Epoch: 0
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|
40 |
|
41 |
## Model description
|
42 |
|
|
|
60 |
|
61 |
### Training results
|
62 |
|
63 |
+
| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Clutter | Validation Accuracy Building | Validation Accuracy Road | Validation Accuracy Static Car | Validation Accuracy Tree | Validation Accuracy Vegetation | Validation Accuracy Human | Validation Accuracy Moving Car | Validation Iou Clutter | Validation Iou Building | Validation Iou Road | Validation Iou Static Car | Validation Iou Tree | Validation Iou Vegetation | Validation Iou Human | Validation Iou Moving Car | Epoch |
|
64 |
+
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:---------------------------:|:----------------------------:|:------------------------:|:------------------------------:|:------------------------:|:------------------------------:|:-------------------------:|:------------------------------:|:----------------------:|:-----------------------:|:-------------------:|:-------------------------:|:-------------------:|:-------------------------:|:--------------------:|:-------------------------:|:-----:|
|
65 |
+
| 1.2150 | 0.6691 | 0.0149 | 0.0576 | 0.0526 | 0.0355 | 0.0698 | 0.1084 | 0.0000 | 0.1892 | 0.0 | 0.0 | nan | 0.0241 | 0.0108 | 0.0100 | 0.0000 | 0.0739 | 0.0 | 0.0 | 0.0 | 0 |
|
|
|
66 |
|
67 |
|
68 |
### Framework versions
|
config.json
CHANGED
@@ -28,310 +28,26 @@
|
|
28 |
512
|
29 |
],
|
30 |
"id2label": {
|
31 |
-
"0": "
|
32 |
"1": "building",
|
33 |
-
"2": "
|
34 |
-
"3": "
|
35 |
"4": "tree",
|
36 |
-
"5": "
|
37 |
-
"6": "
|
38 |
-
"7": "
|
39 |
-
"8": "windowpane",
|
40 |
-
"9": "grass",
|
41 |
-
"10": "cabinet",
|
42 |
-
"11": "sidewalk",
|
43 |
-
"12": "person",
|
44 |
-
"13": "earth",
|
45 |
-
"14": "door",
|
46 |
-
"15": "table",
|
47 |
-
"16": "mountain",
|
48 |
-
"17": "plant",
|
49 |
-
"18": "curtain",
|
50 |
-
"19": "chair",
|
51 |
-
"20": "car",
|
52 |
-
"21": "water",
|
53 |
-
"22": "painting",
|
54 |
-
"23": "sofa",
|
55 |
-
"24": "shelf",
|
56 |
-
"25": "house",
|
57 |
-
"26": "sea",
|
58 |
-
"27": "mirror",
|
59 |
-
"28": "rug",
|
60 |
-
"29": "field",
|
61 |
-
"30": "armchair",
|
62 |
-
"31": "seat",
|
63 |
-
"32": "fence",
|
64 |
-
"33": "desk",
|
65 |
-
"34": "rock",
|
66 |
-
"35": "wardrobe",
|
67 |
-
"36": "lamp",
|
68 |
-
"37": "bathtub",
|
69 |
-
"38": "railing",
|
70 |
-
"39": "cushion",
|
71 |
-
"40": "base",
|
72 |
-
"41": "box",
|
73 |
-
"42": "column",
|
74 |
-
"43": "signboard",
|
75 |
-
"44": "chest of drawers",
|
76 |
-
"45": "counter",
|
77 |
-
"46": "sand",
|
78 |
-
"47": "sink",
|
79 |
-
"48": "skyscraper",
|
80 |
-
"49": "fireplace",
|
81 |
-
"50": "refrigerator",
|
82 |
-
"51": "grandstand",
|
83 |
-
"52": "path",
|
84 |
-
"53": "stairs",
|
85 |
-
"54": "runway",
|
86 |
-
"55": "case",
|
87 |
-
"56": "pool table",
|
88 |
-
"57": "pillow",
|
89 |
-
"58": "screen door",
|
90 |
-
"59": "stairway",
|
91 |
-
"60": "river",
|
92 |
-
"61": "bridge",
|
93 |
-
"62": "bookcase",
|
94 |
-
"63": "blind",
|
95 |
-
"64": "coffee table",
|
96 |
-
"65": "toilet",
|
97 |
-
"66": "flower",
|
98 |
-
"67": "book",
|
99 |
-
"68": "hill",
|
100 |
-
"69": "bench",
|
101 |
-
"70": "countertop",
|
102 |
-
"71": "stove",
|
103 |
-
"72": "palm",
|
104 |
-
"73": "kitchen island",
|
105 |
-
"74": "computer",
|
106 |
-
"75": "swivel chair",
|
107 |
-
"76": "boat",
|
108 |
-
"77": "bar",
|
109 |
-
"78": "arcade machine",
|
110 |
-
"79": "hovel",
|
111 |
-
"80": "bus",
|
112 |
-
"81": "towel",
|
113 |
-
"82": "light",
|
114 |
-
"83": "truck",
|
115 |
-
"84": "tower",
|
116 |
-
"85": "chandelier",
|
117 |
-
"86": "awning",
|
118 |
-
"87": "streetlight",
|
119 |
-
"88": "booth",
|
120 |
-
"89": "television receiver",
|
121 |
-
"90": "airplane",
|
122 |
-
"91": "dirt track",
|
123 |
-
"92": "apparel",
|
124 |
-
"93": "pole",
|
125 |
-
"94": "land",
|
126 |
-
"95": "bannister",
|
127 |
-
"96": "escalator",
|
128 |
-
"97": "ottoman",
|
129 |
-
"98": "bottle",
|
130 |
-
"99": "buffet",
|
131 |
-
"100": "poster",
|
132 |
-
"101": "stage",
|
133 |
-
"102": "van",
|
134 |
-
"103": "ship",
|
135 |
-
"104": "fountain",
|
136 |
-
"105": "conveyer belt",
|
137 |
-
"106": "canopy",
|
138 |
-
"107": "washer",
|
139 |
-
"108": "plaything",
|
140 |
-
"109": "swimming pool",
|
141 |
-
"110": "stool",
|
142 |
-
"111": "barrel",
|
143 |
-
"112": "basket",
|
144 |
-
"113": "waterfall",
|
145 |
-
"114": "tent",
|
146 |
-
"115": "bag",
|
147 |
-
"116": "minibike",
|
148 |
-
"117": "cradle",
|
149 |
-
"118": "oven",
|
150 |
-
"119": "ball",
|
151 |
-
"120": "food",
|
152 |
-
"121": "step",
|
153 |
-
"122": "tank",
|
154 |
-
"123": "trade name",
|
155 |
-
"124": "microwave",
|
156 |
-
"125": "pot",
|
157 |
-
"126": "animal",
|
158 |
-
"127": "bicycle",
|
159 |
-
"128": "lake",
|
160 |
-
"129": "dishwasher",
|
161 |
-
"130": "screen",
|
162 |
-
"131": "blanket",
|
163 |
-
"132": "sculpture",
|
164 |
-
"133": "hood",
|
165 |
-
"134": "sconce",
|
166 |
-
"135": "vase",
|
167 |
-
"136": "traffic light",
|
168 |
-
"137": "tray",
|
169 |
-
"138": "ashcan",
|
170 |
-
"139": "fan",
|
171 |
-
"140": "pier",
|
172 |
-
"141": "crt screen",
|
173 |
-
"142": "plate",
|
174 |
-
"143": "monitor",
|
175 |
-
"144": "bulletin board",
|
176 |
-
"145": "shower",
|
177 |
-
"146": "radiator",
|
178 |
-
"147": "glass",
|
179 |
-
"148": "clock",
|
180 |
-
"149": "flag"
|
181 |
},
|
182 |
"image_size": 224,
|
183 |
"initializer_range": 0.02,
|
184 |
"label2id": {
|
185 |
-
"airplane": 90,
|
186 |
-
"animal": 126,
|
187 |
-
"apparel": 92,
|
188 |
-
"arcade machine": 78,
|
189 |
-
"armchair": 30,
|
190 |
-
"ashcan": 138,
|
191 |
-
"awning": 86,
|
192 |
-
"bag": 115,
|
193 |
-
"ball": 119,
|
194 |
-
"bannister": 95,
|
195 |
-
"bar": 77,
|
196 |
-
"barrel": 111,
|
197 |
-
"base": 40,
|
198 |
-
"basket": 112,
|
199 |
-
"bathtub": 37,
|
200 |
-
"bed ": 7,
|
201 |
-
"bench": 69,
|
202 |
-
"bicycle": 127,
|
203 |
-
"blanket": 131,
|
204 |
-
"blind": 63,
|
205 |
-
"boat": 76,
|
206 |
-
"book": 67,
|
207 |
-
"bookcase": 62,
|
208 |
-
"booth": 88,
|
209 |
-
"bottle": 98,
|
210 |
-
"box": 41,
|
211 |
-
"bridge": 61,
|
212 |
-
"buffet": 99,
|
213 |
"building": 1,
|
214 |
-
"
|
215 |
-
"
|
216 |
-
"
|
217 |
-
"
|
218 |
-
"
|
219 |
-
"case": 55,
|
220 |
-
"ceiling": 5,
|
221 |
-
"chair": 19,
|
222 |
-
"chandelier": 85,
|
223 |
-
"chest of drawers": 44,
|
224 |
-
"clock": 148,
|
225 |
-
"coffee table": 64,
|
226 |
-
"column": 42,
|
227 |
-
"computer": 74,
|
228 |
-
"conveyer belt": 105,
|
229 |
-
"counter": 45,
|
230 |
-
"countertop": 70,
|
231 |
-
"cradle": 117,
|
232 |
-
"crt screen": 141,
|
233 |
-
"curtain": 18,
|
234 |
-
"cushion": 39,
|
235 |
-
"desk": 33,
|
236 |
-
"dirt track": 91,
|
237 |
-
"dishwasher": 129,
|
238 |
-
"door": 14,
|
239 |
-
"earth": 13,
|
240 |
-
"escalator": 96,
|
241 |
-
"fan": 139,
|
242 |
-
"fence": 32,
|
243 |
-
"field": 29,
|
244 |
-
"fireplace": 49,
|
245 |
-
"flag": 149,
|
246 |
-
"floor": 3,
|
247 |
-
"flower": 66,
|
248 |
-
"food": 120,
|
249 |
-
"fountain": 104,
|
250 |
-
"glass": 147,
|
251 |
-
"grandstand": 51,
|
252 |
-
"grass": 9,
|
253 |
-
"hill": 68,
|
254 |
-
"hood": 133,
|
255 |
-
"house": 25,
|
256 |
-
"hovel": 79,
|
257 |
-
"kitchen island": 73,
|
258 |
-
"lake": 128,
|
259 |
-
"lamp": 36,
|
260 |
-
"land": 94,
|
261 |
-
"light": 82,
|
262 |
-
"microwave": 124,
|
263 |
-
"minibike": 116,
|
264 |
-
"mirror": 27,
|
265 |
-
"monitor": 143,
|
266 |
-
"mountain": 16,
|
267 |
-
"ottoman": 97,
|
268 |
-
"oven": 118,
|
269 |
-
"painting": 22,
|
270 |
-
"palm": 72,
|
271 |
-
"path": 52,
|
272 |
-
"person": 12,
|
273 |
-
"pier": 140,
|
274 |
-
"pillow": 57,
|
275 |
-
"plant": 17,
|
276 |
-
"plate": 142,
|
277 |
-
"plaything": 108,
|
278 |
-
"pole": 93,
|
279 |
-
"pool table": 56,
|
280 |
-
"poster": 100,
|
281 |
-
"pot": 125,
|
282 |
-
"radiator": 146,
|
283 |
-
"railing": 38,
|
284 |
-
"refrigerator": 50,
|
285 |
-
"river": 60,
|
286 |
-
"road": 6,
|
287 |
-
"rock": 34,
|
288 |
-
"rug": 28,
|
289 |
-
"runway": 54,
|
290 |
-
"sand": 46,
|
291 |
-
"sconce": 134,
|
292 |
-
"screen": 130,
|
293 |
-
"screen door": 58,
|
294 |
-
"sculpture": 132,
|
295 |
-
"sea": 26,
|
296 |
-
"seat": 31,
|
297 |
-
"shelf": 24,
|
298 |
-
"ship": 103,
|
299 |
-
"shower": 145,
|
300 |
-
"sidewalk": 11,
|
301 |
-
"signboard": 43,
|
302 |
-
"sink": 47,
|
303 |
-
"sky": 2,
|
304 |
-
"skyscraper": 48,
|
305 |
-
"sofa": 23,
|
306 |
-
"stage": 101,
|
307 |
-
"stairs": 53,
|
308 |
-
"stairway": 59,
|
309 |
-
"step": 121,
|
310 |
-
"stool": 110,
|
311 |
-
"stove": 71,
|
312 |
-
"streetlight": 87,
|
313 |
-
"swimming pool": 109,
|
314 |
-
"swivel chair": 75,
|
315 |
-
"table": 15,
|
316 |
-
"tank": 122,
|
317 |
-
"television receiver": 89,
|
318 |
-
"tent": 114,
|
319 |
-
"toilet": 65,
|
320 |
-
"towel": 81,
|
321 |
-
"tower": 84,
|
322 |
-
"trade name": 123,
|
323 |
-
"traffic light": 136,
|
324 |
-
"tray": 137,
|
325 |
"tree": 4,
|
326 |
-
"
|
327 |
-
"van": 102,
|
328 |
-
"vase": 135,
|
329 |
-
"wall": 0,
|
330 |
-
"wardrobe": 35,
|
331 |
-
"washer": 107,
|
332 |
-
"water": 21,
|
333 |
-
"waterfall": 113,
|
334 |
-
"windowpane": 8
|
335 |
},
|
336 |
"layer_norm_eps": 1e-06,
|
337 |
"mlp_ratios": [
|
|
|
28 |
512
|
29 |
],
|
30 |
"id2label": {
|
31 |
+
"0": "clutter",
|
32 |
"1": "building",
|
33 |
+
"2": "road",
|
34 |
+
"3": "static_car",
|
35 |
"4": "tree",
|
36 |
+
"5": "vegetation",
|
37 |
+
"6": "human",
|
38 |
+
"7": "moving_car"
|
|
|
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|
39 |
},
|
40 |
"image_size": 224,
|
41 |
"initializer_range": 0.02,
|
42 |
"label2id": {
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
43 |
"building": 1,
|
44 |
+
"clutter": 0,
|
45 |
+
"human": 6,
|
46 |
+
"moving_car": 7,
|
47 |
+
"road": 2,
|
48 |
+
"static_car": 3,
|
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|
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|
|
|
|
|
|
49 |
"tree": 4,
|
50 |
+
"vegetation": 5
|
|
|
|
|
|
|
|
|
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|
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|
|
51 |
},
|
52 |
"layer_norm_eps": 1e-06,
|
53 |
"mlp_ratios": [
|
tf_model.h5
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:75e60e4b02e966e82f3cb5b3df9526b7534f938d420b157201f0d9280920ad2f
|
3 |
+
size 189768152
|