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Fix typos (#14941)
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@ -33,7 +33,7 @@ class RandomScale:
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def __init__(self, scales, random_rate):
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def __init__(self, scales, random_rate):
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"""
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"""
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:param scales: 尺度
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:param scales: 尺度
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:param ramdon_rate: 随机系数
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:param random_rate: 随机系数
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:return:
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:return:
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"""
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"""
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self.random_rate = random_rate
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self.random_rate = random_rate
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@ -64,7 +64,7 @@ class RandomRotateImgBox:
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def __init__(self, degrees, random_rate, same_size=False):
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def __init__(self, degrees, random_rate, same_size=False):
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"""
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"""
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:param degrees: 角度,可以是一个数值或者list
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:param degrees: 角度,可以是一个数值或者list
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:param ramdon_rate: 随机系数
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:param random_rate: 随机系数
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:param same_size: 是否保持和原图一样大
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:param same_size: 是否保持和原图一样大
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:return:
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:return:
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"""
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"""
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@ -145,7 +145,7 @@ class RandomResize:
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def __init__(self, size, random_rate, keep_ratio=False):
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def __init__(self, size, random_rate, keep_ratio=False):
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"""
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"""
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:param input_size: resize尺寸,数字或者list的形式,如果为list形式,就是[w,h]
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:param input_size: resize尺寸,数字或者list的形式,如果为list形式,就是[w,h]
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:param ramdon_rate: 随机系数
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:param random_rate: 随机系数
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:param keep_ratio: 是否保持长宽比
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:param keep_ratio: 是否保持长宽比
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:return:
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:return:
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"""
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"""
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@ -280,7 +280,7 @@ class HorizontalFlip:
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return data
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return data
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class VerticallFlip:
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class VerticalFlip:
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def __init__(self, random_rate):
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def __init__(self, random_rate):
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"""
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"""
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@ -60,7 +60,7 @@ class BasicBlock(nn.Layer):
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planes, planes, kernel_size=3, padding=1, bias_attr=False
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planes, planes, kernel_size=3, padding=1, bias_attr=False
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)
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)
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else:
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else:
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from paddle.version.ops import DeformConv2D
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from paddle.vision.ops import DeformConv2D
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deformable_groups = dcn.get("deformable_groups", 1)
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deformable_groups = dcn.get("deformable_groups", 1)
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offset_channels = 18
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offset_channels = 18
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@ -35,7 +35,7 @@ from utils.util import draw_bbox, save_result
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class InferenceEngine(object):
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class InferenceEngine(object):
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"""InferenceEngine
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"""InferenceEngine
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Inference engina class which contains preprocess, run, postprocess
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Inference engine class which contains preprocess, run, postprocess
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"""
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"""
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def __init__(self, args):
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def __init__(self, args):
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@ -69,7 +69,7 @@ class PaddleModel:
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def predict(self, img_path: str, is_output_polygon=False, short_size: int = 1024):
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def predict(self, img_path: str, is_output_polygon=False, short_size: int = 1024):
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"""
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"""
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对传入的图像进行预测,支持图像地址,opecv 读取图片,偏慢
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对传入的图像进行预测,支持图像地址,opencv 读取图片,偏慢
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:param img_path: 图像地址
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:param img_path: 图像地址
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:param is_numpy:
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:param is_numpy:
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:return:
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:return:
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@ -209,7 +209,7 @@ class DetectionDetEvalEvaluator(object):
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precision = 0 if len(detRects) > 0 else 1
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precision = 0 if len(detRects) > 0 else 1
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if len(detRects) > 0:
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if len(detRects) > 0:
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# Calculate recall and precision matrixs
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# Calculate recall and precision matrixes
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outputShape = [len(gtRects), len(detRects)]
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outputShape = [len(gtRects), len(detRects)]
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recallMat = np.empty(outputShape)
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recallMat = np.empty(outputShape)
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precisionMat = np.empty(outputShape)
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precisionMat = np.empty(outputShape)
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@ -187,7 +187,7 @@ class DetectionICDAR2013Evaluator(object):
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precision = 0 if len(detRects) > 0 else 1
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precision = 0 if len(detRects) > 0 else 1
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if len(detRects) > 0:
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if len(detRects) > 0:
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# Calculate recall and precision matrixs
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# Calculate recall and precision matrixes
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outputShape = [len(gtRects), len(detRects)]
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outputShape = [len(gtRects), len(detRects)]
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recallMat = np.empty(outputShape)
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recallMat = np.empty(outputShape)
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precisionMat = np.empty(outputShape)
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precisionMat = np.empty(outputShape)
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@ -303,7 +303,7 @@ class Config(object):
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def print_cfg(self, print_func=print):
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def print_cfg(self, print_func=print):
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"""
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"""
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Recursively visualize a dict and
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Recursively visualize a dict and
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indenting acrrording by the relationship of keys.
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indenting according by the relationship of keys.
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"""
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"""
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print_func("----------- Config -----------")
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print_func("----------- Config -----------")
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print_dict(self.cfg, print_func)
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print_dict(self.cfg, print_func)
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