提交 dcd90c52 编写于 作者: C cuicheng01

update multilabel_dataset.py

上级 b6768504
...@@ -28,6 +28,7 @@ class MultiLabelDataset(CommonDataset): ...@@ -28,6 +28,7 @@ class MultiLabelDataset(CommonDataset):
def _load_anno(self, label_ratio=False): def _load_anno(self, label_ratio=False):
assert os.path.exists(self._cls_path) assert os.path.exists(self._cls_path)
assert os.path.exists(self._img_root) assert os.path.exists(self._img_root)
self.label_ratio = label_ratio
self.images = [] self.images = []
self.labels = [] self.labels = []
with open(self._cls_path) as fd: with open(self._cls_path) as fd:
...@@ -41,7 +42,7 @@ class MultiLabelDataset(CommonDataset): ...@@ -41,7 +42,7 @@ class MultiLabelDataset(CommonDataset):
self.labels.append(labels) self.labels.append(labels)
assert os.path.exists(self.images[-1]) assert os.path.exists(self.images[-1])
if label_ratio: if self.label_ratio is not False:
return np.array(self.labels).mean(0).astype("float32") return np.array(self.labels).mean(0).astype("float32")
def __getitem__(self, idx): def __getitem__(self, idx):
...@@ -52,7 +53,7 @@ class MultiLabelDataset(CommonDataset): ...@@ -52,7 +53,7 @@ class MultiLabelDataset(CommonDataset):
img = transform(img, self._transform_ops) img = transform(img, self._transform_ops)
img = img.transpose((2, 0, 1)) img = img.transpose((2, 0, 1))
label = np.array(self.labels[idx]).astype("float32") label = np.array(self.labels[idx]).astype("float32")
if self.label_ratio is not None: if self.label_ratio is not False:
return (img, np.array([label, self.label_ratio])) return (img, np.array([label, self.label_ratio]))
else: else:
return (img, label) return (img, label)
......
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