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import sys |
class CONFIG: |
# DEBUG Settings |
DRY_RUN = False |
DRY_RUN_MAX_IMAGES = 10 |
# Pipeline settings |
NUM_CORES = 2 |
MAST3R_MIN_PAIR = 15 |
MATCH_CONF_TH = 1.001 |
!pip install torch torchvision torchaudio --no-index --find-links=/kaggle/input/mast3r-fix/mast3r-wheels |
!pip install faiss-gpu-cu12 --no-index --find-links=/kaggle/input/mast3r-fix/mast3r-wheels |
# 离线安装所有依赖（不联网） |
!pip install --no-index --find-links=/kaggle/input/mast3r-fix/mast3r-wheels \ |
-r /kaggle/input/mast3r-fix/mast3r/requirements.txt \ |
-r /kaggle/input/mast3r-fix/mast3r/dust3r/requirements.txt \ |
-r /kaggle/input/mast3r-fix/mast3r/dust3r/requirements_optional.txt |
!pip install --no-index /kaggle/input/imc2024-packages-lightglue-rerun-kornia/* --no-deps |
!pip install --no-index /kaggle/input/pycolmap3-11/pycolmap-3.11.1-cp311-cp311-manylinux_2_28_x86_64.whl --no-deps |
# !pip install kornia_rs |
# !pip install pycolmap |
# 加入源码主目录（包含 mast3r, dust3r 等子目录） |
sys.path.insert(0, "/kaggle/input/mast3r-fix/mast3r") |
sys.path.insert(0, '/kaggle/input/mast3r-fix/mast3r/asmk') |
sys.path.insert(0, '/kaggle/input/mast3r-fix/mast3r/dust3r/croco/models/curope') |
!rm -rf /kaggle/working/visualization_output |
!rm -rf /kaggle/working/temp |
!rm -rf /kaggle/working/result |
import random |
import os |
import numpy as np |
import torch |
import dataclasses |
def seed_everything(seed: int = 42): |
"""Set seed for reproducibility across random, numpy, torch (CPU + CUDA).""" |
random.seed(seed) |
np.random.seed(seed) |
os.environ["PYTHONHASHSEED"] = str(seed) |
torch.manual_seed(seed) |
torch.cuda.manual_seed(seed) |
torch.cuda.manual_seed_all(seed) # for multi-GPU |
torch.backends.cudnn.deterministic = True |
torch.backends.cudnn.benchmark = False |
seed_everything() |
import pycolmap |
!pip show pycolmap |
import pycolmap |
import os |
print(os.listdir(os.path.dirname(pycolmap.__file__))) |
import sys |
import os |
from tqdm import tqdm |
from time import time, sleep |
import gc |
import numpy as np |
import h5py |
import dataclasses |
import pandas as pd |
from IPython.display import clear_output |
from collections import defaultdict |
from copy import deepcopy |
from PIL import Image |
import cv2 |
import torch |
import torch.nn.functional as F |
import torch |
from transformers import AutoImageProcessor, AutoModel |
# IMPORTANT Utilities: importing data into colmap and competition metric |
import pycolmap |
sys.path.append('/kaggle/input/pycolmap3-11-imc-utils') |
# from database import * |
from h5_to_db import * |
import metric |
from pycolmap import verify_matches, TwoViewGeometryOptions |
from fastprogress import progress_bar |
# 主线程先 preload，确保子线程里不会挂 |
_ = verify_matches |
_ = TwoViewGeometryOptions() |
from mast3r.model import AsymmetricMASt3R |
from mast3r.fast_nn import fast_reciprocal_NNs, extract_correspondences_nonsym |
import mast3r.utils.path_to_dust3r |
from dust3r.inference import inference |
from dust3r.utils.image import load_images |
!rm -rf /kaggle/working/result |
# Configuration |
import torch |
device = 'cuda' if torch.cuda.is_available() else 'cpu' # Automatically use GPU if available |
print(f"Using device: {device}") |
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