HongChuang/ultralytics-ascend
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Fix Windows non-UTF source filenames (#4524)

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Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>
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Glenn Jocher 2023-08-24 03:22:26 +02:00 • committed by GitHub
parent a7419617a6
commit 1db9afc2e5
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16 changed files with 129 additions and 95 deletions
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40
ultralytics/data/converter.py
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@ -9,8 +9,6 @@ import cv2
import numpy as np
from tqdm import tqdm
from ultralytics.utils.checks import check_requirements
def coco91_to_coco80_class():
"""Converts 91-index COCO class IDs to 80-index COCO class IDs.
@ -18,7 +16,6 @@ def coco91_to_coco80_class():
Returns:
(list): A list of 91 class IDs where the index represents the 80-index class ID and the value is the
corresponding 91-index class ID.
"""
return [
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, None, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, None, 24, 25, None,
@ -119,9 +116,7 @@ def convert_coco(labels_dir='../coco/annotations/', use_segments=False, use_keyp
if len(ann['segmentation']) == 0:
segments.append([])
continue
if isinstance(ann['segmentation'], dict):
ann['segmentation'] = rle2polygon(ann['segmentation'])
if len(ann['segmentation']) > 1:
elif len(ann['segmentation']) > 1:
s = merge_multi_segment(ann['segmentation'])
s = (np.concatenate(s, axis=0) / np.array([w, h])).reshape(-1).tolist()
else:
@ -131,9 +126,8 @@ def convert_coco(labels_dir='../coco/annotations/', use_segments=False, use_keyp
if s not in segments:
segments.append(s)
if use_keypoints and ann.get('keypoints') is not None:
k = (np.array(ann['keypoints']).reshape(-1, 3) / np.array([w, h, 1])).reshape(-1).tolist()
k = box + k
keypoints.append(k)
keypoints.append(box + (np.array(ann['keypoints']).reshape(-1, 3) /
np.array([w, h, 1])).reshape(-1).tolist())
# Write
with open((fn / f).with_suffix('.txt'), 'a') as file:
@ -237,34 +231,6 @@ def convert_dota_to_yolo_obb(dota_root_path: str):
convert_label(image_name_without_ext, w, h, orig_label_dir, save_dir)
def rle2polygon(segmentation):
"""
Convert Run-Length Encoding (RLE) mask to polygon coordinates.
Args:
segmentation (dict, list): RLE mask representation of the object segmentation.
Returns:
(list): A list of lists representing the polygon coordinates for each contour.
Note:
Requires the 'pycocotools' package to be installed.
"""
check_requirements('pycocotools')
from pycocotools import mask
m = mask.decode(segmentation)
m[m > 0] = 255
contours, _ = cv2.findContours(m, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_KCOS)
polygons = []
for contour in contours:
epsilon = 0.001 * cv2.arcLength(contour, True)
contour_approx = cv2.approxPolyDP(contour, epsilon, True)
polygon = contour_approx.flatten().tolist()
polygons.append(polygon)
return polygons
def min_index(arr1, arr2):
"""
Find a pair of indexes with the shortest distance between two arrays of 2D points.