80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
import numpy as np
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from PIL import Image
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# ---------------------------------------------------------#
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# 将图像转换成RGB图像，防止灰度图在预测时报错。
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# 代码仅仅支持RGB图像的预测，所有其它类型的图像都会转化成RGB
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# ---------------------------------------------------------#
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def cvtColor(image):
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if len(np.shape(image)) == 3 and np.shape(image)[2] == 3:
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return image
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else:
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image = image.convert('RGB')
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return image
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# ---------------------------------------------------#
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# 对输入图像进行resize
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# ---------------------------------------------------#
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def resize_image(image, size, letterbox_image):
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iw, ih = image.size
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w, h = size
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if letterbox_image:
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scale = min(w / iw, h / ih)
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nw = int(iw * scale)
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nh = int(ih * scale)
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image = image.resize((nw, nh), Image.BICUBIC)
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new_image = Image.new('RGB', size, (128, 128, 128))
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new_image.paste(image, ((w - nw) // 2, (h - nh) // 2))
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else:
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new_image = image.resize((w, h), Image.BICUBIC) # 这里直接用了缩放，而不是加灰条的形式
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return new_image
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# ---------------------------------------------------#
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# 获得类
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# ---------------------------------------------------#
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def get_classes(classes_path):
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with open(classes_path, encoding='utf-8') as f:
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class_names = f.readlines()
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class_names = [c.strip() for c in class_names]
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return class_names, len(class_names)
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# ---------------------------------------------------#
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# 获得先验框
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# ---------------------------------------------------#
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def get_anchors(anchors_path):
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'''loads the anchors from a file'''
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with open(anchors_path, encoding='utf-8') as f:
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anchors = f.readline()
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anchors = [float(x) for x in anchors.split(',')]
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anchors = np.array(anchors).reshape(-1, 2)
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return anchors, len(anchors)
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# ---------------------------------------------------#
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# 获得学习率
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# ---------------------------------------------------#
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def get_lr(optimizer):
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for param_group in optimizer.param_groups:
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return param_group['lr']
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def preprocess_input(image):
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image /= 255.0
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return image
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def show_config(**kwargs):
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print('Configurations:')
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print('-' * 70)
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print('|%25s | %40s|' % ('keys', 'values'))
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print('-' * 70)
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for key, value in kwargs.items():
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print('|%25s | %40s|' % (str(key), str(value)))
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print('-' * 70)
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