通过迭代方式保存图片的时候，通过imwrite可以很好的将不同命名的图片保存在文件中，但是我今天遇到一个很奇葩的问题，图片全部保存下来了，但是每张图片的中文命名出现了乱码，如下图：
原部分代码如下:
ef cnn_predict(cnn, Lic_img):characters = ["京", "沪", "津", "渝", "冀", "晋", "蒙", "辽", "吉", "黑", "苏", "浙", "皖", "闽", "赣", "鲁", "豫","鄂", "湘", "粤", "桂", "琼", "川", "贵", "云", "藏", "陕", "甘", "青", "宁", "新", "0", "1", "2","3", "4", "5", "6", "7", "8", "9", "A", "B", "C", "D", "E", "F", "G", "H", "J", "K", "L", "M","N", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z"]Lic_pred = []for lic in Lic_img:lic_pred = cnn.predict(lic.reshape(1, 80, 240, 3)) # 预测形状应为(1,80,240,3)lic_pred = np.array(lic_pred).reshape(7, 65) # 列表转为ndarray，形状为(7,65)if len(lic_pred[lic_pred >= 0.8]) >= 4: # 统计其中预测概率值大于80%以上的个数，大于等于4个以上认为识别率高，识别成功chars = ''for arg in np.argmax(lic_pred, axis=1): # 取每行中概率值最大的arg,将其转为字符chars += characters[arg]chars = chars[0:2] + '·' + chars[2:]f = open('test.txt', 'a+')if chars:print(chars)f.write('%s %s \n' % (path,chars))else:print('Unable to recognize')f.write('Unable to recognize_%s\n' % (path))Lic_pred.append((lic, chars)) # 将车牌和识别结果一并存入Lic_predsave_path = 'F:/Dataset/car/'cv2.imwrite(save_path+'{}.jpg'.format(chars),lic)os.makedirs(os.path.dirname(save_path),exist_ok=True)if Lic_pred:print('success')else:a = '未能识别'f.write('%s %s \n' % (path, a))return Lic_pred
在代码中是没有问题的，通过print也能够正确的输出，经查阅资料，发现是乱码的原因，也找到了解决办法:将源代码的
cv2.imwrite(save_path+’{}.jpg’.format(chars),lic)
改为
cv2.imencode(’.jpg’, lic)[1].tofile(save_path+chars+’.jpg’)
然后再运行
就可以成功解决，结果图如下
注意:
#读取中文路径
def cv_imread(file_paht):
cv_img=cv2.imdecode(np.fromfile(file_paht,dtype=np.uint8),-1)
return cv_img
#保存中文路径
def cv_imwrite(savePath,tem):
cv2.imencode(’.jpg’,tem)[1].tofile(savePath) # 保存图片
