format
Browse files- Standford-Cars.py +207 -209
Standford-Cars.py
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@@ -14,10 +14,8 @@
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"""Stanford cars dataset loading script."""
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import csv
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import json
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import os
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from pathlib import Path
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import datasets
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import scipy.io as sio
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_NAMES = [
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]
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# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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@@ -259,14 +257,12 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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{
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"image": datasets.Image(),
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"label": datasets.features.ClassLabel(names=_NAMES),
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shape=(1, 4), dtype="int64"
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),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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@@ -279,24 +275,26 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"annotations_mat_path": Path(data_dir["car_devkit"])
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"split": "train",
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"annotations_mat_path": Path(
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"split": "test",
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},
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),
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]
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def _generate_examples(self, annotations_mat_path, images_base_path, split):
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# TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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for annotation in sio.loadmat(annotations_mat_path)["annotations"][0]:
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image_name = str(annotation[5].item())
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image_path = images_base_path / image_name
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"""Stanford cars dataset loading script."""
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from pathlib import Path
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import datasets
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import scipy.io as sio
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_NAMES = [
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"AM General Hummer SUV 2000",
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"Acura RL Sedan 2012",
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"Acura TL Sedan 2012",
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"Acura TL Type-S 2008",
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"Acura TSX Sedan 2012",
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"Acura Integra Type R 2001",
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"Acura ZDX Hatchback 2012",
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"Aston Martin V8 Vantage Convertible 2012",
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"Aston Martin V8 Vantage Coupe 2012",
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"Aston Martin Virage Convertible 2012",
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"Aston Martin Virage Coupe 2012",
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"Audi RS 4 Convertible 2008",
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"Audi A5 Coupe 2012",
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"Audi TTS Coupe 2012",
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"Audi R8 Coupe 2012",
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"Audi V8 Sedan 1994",
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"Audi 100 Sedan 1994",
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"Audi 100 Wagon 1994",
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"Audi TT Hatchback 2011",
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"Audi S6 Sedan 2011",
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"Audi S5 Convertible 2012",
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"Audi S5 Coupe 2012",
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"Audi S4 Sedan 2012",
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"Audi S4 Sedan 2007",
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"Audi TT RS Coupe 2012",
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"BMW ActiveHybrid 5 Sedan 2012",
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"BMW 1 Series Convertible 2012",
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"BMW 1 Series Coupe 2012",
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"BMW 3 Series Sedan 2012",
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"BMW 3 Series Wagon 2012",
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"BMW 6 Series Convertible 2007",
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"BMW X5 SUV 2007",
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"BMW X6 SUV 2012",
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"BMW M3 Coupe 2012",
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"BMW M5 Sedan 2010",
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"BMW M6 Convertible 2010",
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"BMW X3 SUV 2012",
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"BMW Z4 Convertible 2012",
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"Bentley Continental Supersports Conv. Convertible 2012",
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"Bentley Arnage Sedan 2009",
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"Bentley Mulsanne Sedan 2011",
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"Bentley Continental GT Coupe 2012",
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"Bentley Continental GT Coupe 2007",
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"Bentley Continental Flying Spur Sedan 2007",
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"Bugatti Veyron 16.4 Convertible 2009",
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"Bugatti Veyron 16.4 Coupe 2009",
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"Buick Regal GS 2012",
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"Buick Rainier SUV 2007",
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"Buick Verano Sedan 2012",
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"Buick Enclave SUV 2012",
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"Cadillac CTS-V Sedan 2012",
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"Cadillac SRX SUV 2012",
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"Cadillac Escalade EXT Crew Cab 2007",
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"Chevrolet Silverado 1500 Hybrid Crew Cab 2012",
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"Chevrolet Corvette Convertible 2012",
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"Chevrolet Corvette ZR1 2012",
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"Chevrolet Corvette Ron Fellows Edition Z06 2007",
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"Chevrolet Traverse SUV 2012",
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"Chevrolet Camaro Convertible 2012",
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"Chevrolet HHR SS 2010",
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"Chevrolet Impala Sedan 2007",
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"Chevrolet Tahoe Hybrid SUV 2012",
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"Chevrolet Sonic Sedan 2012",
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"Chevrolet Express Cargo Van 2007",
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"Chevrolet Avalanche Crew Cab 2012",
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"Chevrolet Cobalt SS 2010",
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"Chevrolet Malibu Hybrid Sedan 2010",
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"Chevrolet TrailBlazer SS 2009",
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"Chevrolet Silverado 2500HD Regular Cab 2012",
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"Chevrolet Silverado 1500 Classic Extended Cab 2007",
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"Chevrolet Express Van 2007",
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"Chevrolet Monte Carlo Coupe 2007",
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"Chevrolet Malibu Sedan 2007",
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"Chevrolet Silverado 1500 Extended Cab 2012",
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"Chevrolet Silverado 1500 Regular Cab 2012",
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"Chrysler Aspen SUV 2009",
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"Chrysler Sebring Convertible 2010",
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"Chrysler Town and Country Minivan 2012",
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"Chrysler 300 SRT-8 2010",
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"Chrysler Crossfire Convertible 2008",
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"Chrysler PT Cruiser Convertible 2008",
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"Daewoo Nubira Wagon 2002",
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"Dodge Caliber Wagon 2012",
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"Dodge Caliber Wagon 2007",
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"Dodge Caravan Minivan 1997",
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"Dodge Ram Pickup 3500 Crew Cab 2010",
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"Dodge Ram Pickup 3500 Quad Cab 2009",
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"Dodge Sprinter Cargo Van 2009",
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"Dodge Journey SUV 2012",
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"Dodge Dakota Crew Cab 2010",
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"Dodge Dakota Club Cab 2007",
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"Dodge Magnum Wagon 2008",
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"Dodge Challenger SRT8 2011",
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"Dodge Durango SUV 2012",
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"Dodge Durango SUV 2007",
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"Dodge Charger Sedan 2012",
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"Dodge Charger SRT-8 2009",
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"Eagle Talon Hatchback 1998",
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"FIAT 500 Abarth 2012",
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"FIAT 500 Convertible 2012",
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"Ferrari FF Coupe 2012",
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"Ferrari California Convertible 2012",
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"Ferrari 458 Italia Convertible 2012",
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"Ferrari 458 Italia Coupe 2012",
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"Fisker Karma Sedan 2012",
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"Ford F-450 Super Duty Crew Cab 2012",
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"Ford Mustang Convertible 2007",
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"Ford Freestar Minivan 2007",
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"Ford Expedition EL SUV 2009",
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"Ford Edge SUV 2012",
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"Ford Ranger SuperCab 2011",
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"Ford GT Coupe 2006",
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"Ford F-150 Regular Cab 2012",
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"Ford F-150 Regular Cab 2007",
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"Ford Focus Sedan 2007",
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"Ford E-Series Wagon Van 2012",
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"Ford Fiesta Sedan 2012",
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"GMC Terrain SUV 2012",
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"GMC Savana Van 2012",
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"GMC Yukon Hybrid SUV 2012",
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"GMC Acadia SUV 2012",
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"GMC Canyon Extended Cab 2012",
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"Geo Metro Convertible 1993",
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"HUMMER H3T Crew Cab 2010",
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"HUMMER H2 SUT Crew Cab 2009",
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"Honda Odyssey Minivan 2012",
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"Honda Odyssey Minivan 2007",
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"Honda Accord Coupe 2012",
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"Honda Accord Sedan 2012",
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"Hyundai Veloster Hatchback 2012",
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"Hyundai Santa Fe SUV 2012",
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"Hyundai Tucson SUV 2012",
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| 183 |
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"Hyundai Veracruz SUV 2012",
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| 184 |
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"Hyundai Sonata Hybrid Sedan 2012",
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| 185 |
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"Hyundai Elantra Sedan 2007",
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| 186 |
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"Hyundai Accent Sedan 2012",
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| 187 |
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"Hyundai Genesis Sedan 2012",
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| 188 |
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"Hyundai Sonata Sedan 2012",
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| 189 |
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"Hyundai Elantra Touring Hatchback 2012",
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| 190 |
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"Hyundai Azera Sedan 2012",
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| 191 |
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"Infiniti G Coupe IPL 2012",
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| 192 |
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"Infiniti QX56 SUV 2011",
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| 193 |
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"Isuzu Ascender SUV 2008",
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| 194 |
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"Jaguar XK XKR 2012",
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| 195 |
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"Jeep Patriot SUV 2012",
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| 196 |
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"Jeep Wrangler SUV 2012",
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| 197 |
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"Jeep Liberty SUV 2012",
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| 198 |
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"Jeep Grand Cherokee SUV 2012",
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| 199 |
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"Jeep Compass SUV 2012",
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| 200 |
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"Lamborghini Reventon Coupe 2008",
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| 201 |
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"Lamborghini Aventador Coupe 2012",
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| 202 |
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"Lamborghini Gallardo LP 570-4 Superleggera 2012",
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| 203 |
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"Lamborghini Diablo Coupe 2001",
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| 204 |
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"Land Rover Range Rover SUV 2012",
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| 205 |
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"Land Rover LR2 SUV 2012",
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| 206 |
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"Lincoln Town Car Sedan 2011",
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| 207 |
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"MINI Cooper Roadster Convertible 2012",
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| 208 |
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"Maybach Landaulet Convertible 2012",
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| 209 |
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"Mazda Tribute SUV 2011",
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| 210 |
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"McLaren MP4-12C Coupe 2012",
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| 211 |
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"Mercedes-Benz 300-Class Convertible 1993",
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"Mercedes-Benz C-Class Sedan 2012",
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"Mercedes-Benz SL-Class Coupe 2009",
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| 214 |
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"Mercedes-Benz E-Class Sedan 2012",
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| 215 |
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"Mercedes-Benz S-Class Sedan 2012",
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| 216 |
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"Mercedes-Benz Sprinter Van 2012",
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| 217 |
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"Mitsubishi Lancer Sedan 2012",
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| 218 |
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"Nissan Leaf Hatchback 2012",
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| 219 |
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"Nissan NV Passenger Van 2012",
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| 220 |
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"Nissan Juke Hatchback 2012",
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| 221 |
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"Nissan 240SX Coupe 1998",
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| 222 |
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"Plymouth Neon Coupe 1999",
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| 223 |
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"Porsche Panamera Sedan 2012",
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| 224 |
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"Ram C/V Cargo Van Minivan 2012",
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| 225 |
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"Rolls-Royce Phantom Drophead Coupe Convertible 2012",
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"Rolls-Royce Ghost Sedan 2012",
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| 227 |
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"Rolls-Royce Phantom Sedan 2012",
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| 228 |
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"Scion xD Hatchback 2012",
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| 229 |
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"Spyker C8 Convertible 2009",
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| 230 |
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"Spyker C8 Coupe 2009",
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| 231 |
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"Suzuki Aerio Sedan 2007",
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| 232 |
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"Suzuki Kizashi Sedan 2012",
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"Suzuki SX4 Hatchback 2012",
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"Suzuki SX4 Sedan 2012",
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"Tesla Model S Sedan 2012",
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"Toyota Sequoia SUV 2012",
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"Toyota Camry Sedan 2012",
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"Toyota Corolla Sedan 2012",
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"Toyota 4Runner SUV 2012",
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| 240 |
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"Volkswagen Golf Hatchback 2012",
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"Volkswagen Golf Hatchback 1991",
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"Volkswagen Beetle Hatchback 2012",
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"Volvo C30 Hatchback 2012",
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"Volvo 240 Sedan 1993",
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"Volvo XC90 SUV 2007",
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"smart fortwo Convertible 2012",
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]
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# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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{
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"image": datasets.Image(),
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"label": datasets.features.ClassLabel(names=_NAMES),
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"bbox": datasets.features.Array2D(shape=(1, 4), dtype="int64"),
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}
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| 262 |
)
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| 263 |
return datasets.DatasetInfo(
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| 264 |
description=_DESCRIPTION,
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| 265 |
+
features=features,
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| 266 |
homepage=_HOMEPAGE,
|
| 267 |
license=_LICENSE,
|
| 268 |
citation=_CITATION,
|
|
|
|
| 275 |
datasets.SplitGenerator(
|
| 276 |
name=datasets.Split.TRAIN,
|
| 277 |
gen_kwargs={
|
| 278 |
+
"annotations_mat_path": Path(data_dir["car_devkit"])
|
| 279 |
+
/ "devkit"
|
| 280 |
+
/ "cars_train_annos.mat",
|
| 281 |
+
"images_base_path": Path(data_dir["cars_train"]) / "cars_train",
|
| 282 |
"split": "train",
|
| 283 |
},
|
| 284 |
),
|
| 285 |
datasets.SplitGenerator(
|
| 286 |
name=datasets.Split.TEST,
|
| 287 |
gen_kwargs={
|
| 288 |
+
"annotations_mat_path": Path(
|
| 289 |
+
data_dir["cars_test_annos_withlabels"]
|
| 290 |
+
),
|
| 291 |
+
"images_base_path": Path(data_dir["cars_test"]) / "cars_test",
|
| 292 |
"split": "test",
|
| 293 |
},
|
| 294 |
),
|
| 295 |
]
|
| 296 |
|
| 297 |
def _generate_examples(self, annotations_mat_path, images_base_path, split):
|
|
|
|
|
|
|
| 298 |
for annotation in sio.loadmat(annotations_mat_path)["annotations"][0]:
|
| 299 |
image_name = str(annotation[5].item())
|
| 300 |
image_path = images_base_path / image_name
|