/
visualize.py
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/
visualize.py
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import os
import json
import numpy as np
import torch
torch.cuda.current_device()
from torch.utils.data import DataLoader
from datasets import *
from BiCross.Visualizer import Visualizer
with open('visualization_config.json', 'r') as f:
config = json.load(f)
config_json = json.dumps(config, sort_keys=True, indent=4, separators=(',', ':'))
print(config_json)
np.random.seed(config['general']['seed'])
if config['general']['dataset'] == "vkitti":
test_dataset = VKITTI(
dataset_path = "dataset_aaai/vkitti/2.0.3",
mode='test',
)
test_dataloader = DataLoader(
test_dataset,
batch_size=1,
shuffle=False,
num_workers=8,
drop_last=False
)
elif config['general']['dataset'] == "kitti":
test_dataset = KITTI(
dataset_path = "dataset_aaai/kitti",
mode='test',
)
test_dataloader = DataLoader(
test_dataset,
batch_size=1,
shuffle=False,
num_workers=8,
drop_last=False
)
elif config['general']['dataset'] == "rkitti":
test_dataset = RKITTI(
dataset_path = "dataset_aaai/rkitti",
mode='test',
)
test_dataloader = DataLoader(
test_dataset,
batch_size=1,
shuffle=False,
num_workers=8,
drop_last=False
)
elif config['general']['dataset'] == "ekitti":
test_dataset = EKITTI(
dataset_path = "dataset_aaai/ekitti",
mode='test',
testId=39,
)
test_dataloader = DataLoader(
test_dataset,
batch_size=1,
shuffle=False,
num_workers=8,
drop_last=False
)
elif config['general']['dataset'] == "drivingstereo":
test_dataset = DrivingStereo(
dataset_path = "dataset_aaai/drivingstereo",
mode='test',
)
test_dataloader = DataLoader(
test_dataset,
batch_size=1,
shuffle=False,
num_workers=8,
drop_last=False
)
elif config['general']['dataset'] == "ministereo":
test_dataset = MiniStereo(
dataset_path = "dataset_aaai/ministereo",
mode='test',
)
test_dataloader = DataLoader(
test_dataset,
batch_size=1,
shuffle=False,
num_workers=8,
drop_last=False
)
elif config['general']['dataset'] == "weather":
test_dataset = DrivingStereoWeather(
dataset_path = "dataset_aaai/drivingstereoweather",
mode='test',
weather=config['general']['weather'],
)
test_dataloader = DataLoader(
test_dataset,
batch_size=1,
shuffle=False,
num_workers=8,
drop_last=False
)
elif "nyu" in config['general']['dataset']:
test_nyu_dataset = NYU(
dataset_path = "dataset_aaai/nyu/v2",
mode='test',
)
test_nyu_dataloader = DataLoader(
test_nyu_dataset,
batch_size=1,
shuffle=False,
num_workers=8,
drop_last=False
)
elif "respike" in config['general']['dataset']:
test_respike_dataset = Respike(
dataset_path = "dataset_aaai/respike",
mode='test',
scene='indoor',
)
test_respike_dataloader = DataLoader(
test_respike_dataset,
batch_size=1,
shuffle=False,
num_workers=8,
drop_last=False
)
visualizer = Visualizer(config)
visualizer.visualize(test_dataloader)