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predict.py
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predict.py
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from classification import Classification
from PIL import Image
classfication = Classification()
print('请选择预测模式:')
print('可选的模式有:')
print('predict_datasets ----> 负责随机预测测试集内的某些图片')
print('predict -------------> 负责预测单张图片')
mode = input('请输入:')
# 数据集路径
datasets_path = './cls_test.txt'
if __name__ == '__main__':
if mode == 'predict':
while True:
img = input('Input image filename:')
try:
image = Image.open(img)
except:
print('Open Error! Try again!')
continue
else:
class_name = classfication.detect_image(image)
print(class_name)
elif mode == 'predict_datasets':
is_show = input('是否展示图片(是、否):')
if is_show == '是':
is_show = True
else:
is_show = False
classfication.detect_datasets(datasets_path, is_show=True)