|
""" |
|
@Date: 2022/01/31 |
|
@description: |
|
ZInd: |
|
{'test': {'mw': 2789, 'aw': 381}, 'train': {'mw': 21228, 'aw': 3654}, 'val': {'mw': 2647, 'aw': 433}} |
|
|
|
""" |
|
import numpy as np |
|
import matplotlib.pyplot as plt |
|
import json |
|
|
|
from tqdm import tqdm |
|
from evaluation.iou import calc_IoU_2D |
|
from visualization.floorplan import draw_floorplan |
|
from visualization.boundary import draw_boundaries |
|
from utils.conversion import depth2xyz, uv2xyz |
|
|
|
|
|
def analyse_layout_type(dataset, show=False): |
|
bar = tqdm(dataset, total=len(dataset), ncols=100) |
|
manhattan = 0 |
|
atlanta = 0 |
|
corner_type = {} |
|
for data in bar: |
|
bar.set_description(f"Processing {data['id']}") |
|
corners = data['corners'] |
|
corners = corners[corners[..., 0] + corners[..., 1] != 0] |
|
corners_count = str(len(corners)) if len(corners) < 10 else "10" |
|
if corners_count not in corner_type: |
|
corner_type[corners_count] = 0 |
|
corner_type[corners_count] += 1 |
|
|
|
all_xz = uv2xyz(corners)[..., ::2] |
|
|
|
c = len(all_xz) |
|
flag = False |
|
for i in range(c - 1): |
|
l1 = all_xz[i + 1] - all_xz[i] |
|
l2 = all_xz[(i + 2) % c] - all_xz[i + 1] |
|
a = (np.linalg.norm(l1)*np.linalg.norm(l2)) |
|
if a == 0: |
|
continue |
|
dot = np.dot(l1, l2)/a |
|
if 0.9 > abs(dot) > 0.1: |
|
|
|
|
|
flag = True |
|
break |
|
if flag: |
|
atlanta += 1 |
|
else: |
|
manhattan += 1 |
|
|
|
if flag and show: |
|
draw_floorplan(all_xz, show=True) |
|
draw_boundaries(data['image'].transpose(1, 2, 0), [corners], ratio=data['ratio'], show=True) |
|
|
|
corner_type = dict(sorted(corner_type.items(), key=lambda item: int(item[0]))) |
|
return {'manhattan': manhattan, "atlanta": atlanta, "corner_type": corner_type} |
|
|
|
|
|
def execute_analyse_layout_type(root_dir, dataset, modes=None): |
|
if modes is None: |
|
modes = ["train", "val", "test"] |
|
|
|
iou2d_d = {} |
|
for mode in modes: |
|
print("mode: {}".format(mode)) |
|
types = analyse_layout_type(dataset(root_dir, mode), show=False) |
|
iou2d_d[mode] = types |
|
print(json.dumps(types, indent=4)) |
|
return iou2d_d |
|
|
|
|
|
if __name__ == '__main__': |
|
from dataset.zind_dataset import ZindDataset |
|
from dataset.mp3d_dataset import MP3DDataset |
|
|
|
iou2d_d = execute_analyse_layout_type(root_dir='../src/dataset/mp3d', |
|
dataset=MP3DDataset) |
|
|
|
|
|
print(json.dumps(iou2d_d, indent=4)) |
|
|
