Python mmcv.list_from_file() Examples
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Example #1
Source File: pascal_voc.py From hrnet with MIT License | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #2
Source File: pascal_voc.py From FNA with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #3
Source File: wider_face.py From Cascade-RPN with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict( id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #4
Source File: wider_face.py From FoveaBox with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict( id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #5
Source File: pascal_voc.py From Libra_R-CNN with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #6
Source File: wider_face.py From Libra_R-CNN with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict(id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #7
Source File: pascal_voc.py From Reasoning-RCNN with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #8
Source File: wider_face.py From Feature-Selective-Anchor-Free-Module-for-Single-Shot-Object-Detection with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict( id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #9
Source File: custom.py From mmdetection with Apache License 2.0 | 6 votes |
def get_classes(cls, classes=None): """Get class names of current dataset. Args: classes (Sequence[str] | str | None): If classes is None, use default CLASSES defined by builtin dataset. If classes is a string, take it as a file name. The file contains the name of classes where each line contains one class name. If classes is a tuple or list, override the CLASSES defined by the dataset. """ if classes is None: cls.custom_classes = False return cls.CLASSES cls.custom_classes = True if isinstance(classes, str): # take it as a file path class_names = mmcv.list_from_file(classes) elif isinstance(classes, (tuple, list)): class_names = classes else: raise ValueError(f'Unsupported type {type(classes)} of classes.') return class_names
Example #10
Source File: wider_face.py From IoU-Uniform-R-CNN with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict( id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #11
Source File: wider_face.py From RDSNet with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict( id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #12
Source File: pascal_voc.py From Grid-R-CNN with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #13
Source File: pascal_voc.py From kaggle-imaterialist with MIT License | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #14
Source File: wider_face.py From kaggle-kuzushiji-recognition with MIT License | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict( id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #15
Source File: pascal_voc.py From PolarMask with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #16
Source File: wider_face.py From CenterNet with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict( id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #17
Source File: pascal_voc.py From mmdetection_with_SENet154 with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #18
Source File: pascal_voc.py From AugFPN with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #19
Source File: pascal_voc.py From mmdetection with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, f'VOC{year}/ImageSets/Main/{split}.txt') if not osp.isfile(filelist): print(f'filelist does not exist: {filelist}, ' f'skip voc{year} {split}') return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, f'VOC{year}/Annotations/{img_name}.xml') for img_name in img_names ] img_paths = [ f'VOC{year}/JPEGImages/{img_name}.jpg' for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #20
Source File: pascal_voc.py From AerialDetection with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #21
Source File: wider_face.py From GCNet with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict(id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #22
Source File: pascal_voc.py From GCNet with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #23
Source File: wider_face.py From mmdetection-annotated with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict( id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #24
Source File: wider_face.py From ttfnet with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict( id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #25
Source File: pascal_voc.py From mmdetection-annotated with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #26
Source File: pascal_voc.py From CenterNet with Apache License 2.0 | 6 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format( year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format( year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #27
Source File: wider_face.py From PolarMask with Apache License 2.0 | 6 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = '{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) folder = root.find('folder').text img_infos.append( dict( id=img_id, filename=osp.join(folder, filename), width=width, height=height)) return img_infos
Example #28
Source File: xml_style.py From kaggle-imaterialist with MIT License | 5 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = 'JPEGImages/{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) img_infos.append( dict(id=img_id, filename=filename, width=width, height=height)) return img_infos
Example #29
Source File: pascal_voc.py From Feature-Selective-Anchor-Free-Module-for-Single-Shot-Object-Detection with Apache License 2.0 | 5 votes |
def cvt_annotations(devkit_path, years, split, out_file): if not isinstance(years, list): years = [years] annotations = [] for year in years: filelist = osp.join(devkit_path, 'VOC{}/ImageSets/Main/{}.txt'.format(year, split)) if not osp.isfile(filelist): print('filelist does not exist: {}, skip voc{} {}'.format( filelist, year, split)) return img_names = mmcv.list_from_file(filelist) xml_paths = [ osp.join(devkit_path, 'VOC{}/Annotations/{}.xml'.format(year, img_name)) for img_name in img_names ] img_paths = [ 'VOC{}/JPEGImages/{}.jpg'.format(year, img_name) for img_name in img_names ] part_annotations = mmcv.track_progress(parse_xml, list(zip(xml_paths, img_paths))) annotations.extend(part_annotations) mmcv.dump(annotations, out_file) return annotations
Example #30
Source File: xml_style.py From Feature-Selective-Anchor-Free-Module-for-Single-Shot-Object-Detection with Apache License 2.0 | 5 votes |
def load_annotations(self, ann_file): img_infos = [] img_ids = mmcv.list_from_file(ann_file) for img_id in img_ids: filename = 'JPEGImages/{}.jpg'.format(img_id) xml_path = osp.join(self.img_prefix, 'Annotations', '{}.xml'.format(img_id)) tree = ET.parse(xml_path) root = tree.getroot() size = root.find('size') width = int(size.find('width').text) height = int(size.find('height').text) img_infos.append( dict(id=img_id, filename=filename, width=width, height=height)) return img_infos