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refactor __init (1)

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lorenzo 2019-05-21 10:42:33 +02:00
parent 738095bc8c
commit 6fbc496702
3 changed files with 15 additions and 23 deletions
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32
src/eval/kitti_eval.py
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@ -7,6 +7,10 @@ import json
import copy import copy
import datetime import datetime
from utils.misc import get_idx_max
from utils.kitti import check_conditions, get_category, split_training
from visuals.results import print_results
class KittiEval: class KittiEval:
""" """
@ -22,19 +26,12 @@ class KittiEval:
self.logger = logging.getLogger(__name__) self.logger = logging.getLogger(__name__)
self.show = show self.show = show
from utils.misc import get_idx_max
self.get_idx_max = get_idx_max
from utils.kitti import check_conditions, get_category
self.check_conditions = check_conditions
self.get_category = get_category
from visuals.results import print_results
self.print_results = print_results
self.dir_gt = os.path.join('data', 'kitti', 'gt') self.dir_gt = os.path.join('data', 'kitti', 'gt')
self.dir_m3d = os.path.join('data', 'kitti', 'm3d') self.dir_m3d = os.path.join('data', 'kitti', 'm3d')
self.dir_3dop = os.path.join('data', 'kitti', '3dop') self.dir_3dop = os.path.join('data', 'kitti', '3dop')
self.dir_md = os.path.join('data', 'kitti', 'monodepth') self.dir_md = os.path.join('data', 'kitti', 'monodepth')
self.dir_our = os.path.join('data', 'kitti', 'monoloco') self.dir_our = os.path.join('data', 'kitti', 'monoloco')
path_train = os.path.join('splits', 'kitti_train.txt')
path_val = os.path.join('splits', 'kitti_val.txt') path_val = os.path.join('splits', 'kitti_val.txt')
dir_logs = os.path.join('data', 'logs') dir_logs = os.path.join('data', 'logs')
assert dir_logs, "No directory to save final statistics" assert dir_logs, "No directory to save final statistics"
@ -54,27 +51,22 @@ class KittiEval:
self.dic_cnt = defaultdict(int) self.dic_cnt = defaultdict(int)
self.errors = defaultdict(lambda: defaultdict(list)) self.errors = defaultdict(lambda: defaultdict(list))
# Only consider validation images # Extract validation images for evaluation
set_gt = set(os.listdir(self.dir_gt)) names_gt = tuple(os.listdir(self.dir_gt))
set_val = set() _, self.set_val = split_training(names_gt, path_train, path_val)
aa = 5
with open(path_val, "r") as f_val:
for line in f_val:
set_val.add(line[:-1] + '.txt')
self.list_gt = list(set_gt.intersection(set_val))
assert self.list_gt, "No images in the folder"
def run(self): def run(self):
"""Evaluate Monoloco methods on ALP and ALE metrics"""
self.dic_stds = defaultdict(lambda: defaultdict(list)) self.dic_stds = defaultdict(lambda: defaultdict(list))
dic_stats = defaultdict(lambda: defaultdict(lambda: defaultdict(lambda: defaultdict(float)))) dic_stats = defaultdict(lambda: defaultdict(lambda: defaultdict(lambda: defaultdict(float))))
cnt_gt = 0 cnt_gt = 0
# Iterate over each ground truth file in the training set # Iterate over each ground truth file in the training set
for name in self.list_gt: for name in self.set_val:
if name == '004647.txt':
aa = 5
path_gt = os.path.join(self.dir_gt, name) path_gt = os.path.join(self.dir_gt, name)
path_m3d = os.path.join(self.dir_m3d, name) path_m3d = os.path.join(self.dir_m3d, name)
path_our = os.path.join(self.dir_our, name) path_our = os.path.join(self.dir_our, name)

2
src/features/preprocess_ki.py
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@ -31,7 +31,7 @@ class PreprocessKitti:
self.dir_ann = dir_ann self.dir_ann = dir_ann
self.iou_thresh = iou_thresh self.iou_thresh = iou_thresh
self.dir_gt = os.path.join('data', 'kitti', 'gt') self.dir_gt = os.path.join('data', 'kitti', 'gt')
self.names_gt = os.listdir(self.dir_gt) self.names_gt = tuple(os.listdir(self.dir_gt))
self.dir_kk = os.path.join('data', 'kitti', 'calib') self.dir_kk = os.path.join('data', 'kitti', 'calib')
self.list_gt = glob.glob(self.dir_gt + '/*.txt') self.list_gt = glob.glob(self.dir_gt + '/*.txt')
assert os.path.exists(self.dir_gt), "Ground truth dir does not exist" assert os.path.exists(self.dir_gt), "Ground truth dir does not exist"

4
src/utils/kitti.py
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@ -138,8 +138,8 @@ def split_training(names_gt, path_train, path_val):
for line in f_val: for line in f_val:
set_val.add(line[:-1] + '.txt') set_val.add(line[:-1] + '.txt')
set_train = set_gt.intersection(set_train) set_train = tuple(set_gt.intersection(set_train))
set_val = set_gt.intersection(set_val) set_val = tuple(set_gt.intersection(set_val))
assert set_train and set_val, "No validation or training annotations" assert set_train and set_val, "No validation or training annotations"
return set_train, set_val return set_train, set_val