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Commit 99e082f

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同时预测,Fail
1 parent 69d8cb9 commit 99e082f

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5 files changed

+45
-9
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5 files changed

+45
-9
lines changed

‎ch46-机器学习-K近邻/2-英文字母的OCR.py‎

Lines changed: 4 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -28,14 +28,11 @@
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correct = np.count_nonzero(result == labels)
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accuracy = correct * 100.0 / 10000
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print(accuracy)
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print('准确率', accuracy)#93.06
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#准确率 到了 93.22%。同样你可以 增加训练样本的数量来提 准确率。
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with np.load('knn_data_alphabet.npz') as data:
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print(data.files)
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train = data['train']
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train_labels = data['train_labels']
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test = data['test']
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test_labels = data['test_labels']
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# save the data
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np.savez('knn_data_alphabet.npz', train_alphabet=train, train_labels_alphabet=responses,test_alphabet=testData,test_labels_alphabet=labels)
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#怎样预测字母?跟预测数字的一样
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‎ch46-机器学习-K近邻/同时预测数字和英文字母1.py‎

Lines changed: 37 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -8,3 +8,40 @@
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同时预测数字和英文字母1.py:
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"""
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import numpy as np
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import cv2
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from matplotlib import pyplot as plt
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with np.load('knn_data_num.npz') as data:
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print(data.files) # ['train', 'train_labels', 'test', 'test_labels']
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train = data['train']
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train_labels = data['train_labels']
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test = data['test']
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test_labels = data['test_labels']
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with np.load('knn_data_alphabet.npz') as data:
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print(data.files)
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train_alphabet = data['train_alphabet']
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train_labels_alphabet = data['train_labels_alphabet']
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test_alphabet = data['test_alphabet']
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test_labels_alphabet = data['test_labels_alphabet']
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# shape不一致,无法合并
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# train.shape #(2500, 400)
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# train_alphabet.shape#(10000, 17)
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# print('合并-数字-字母数据')
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# train = np.append(train, train_alphabet)
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# tratrain_labelsin = np.append(train_labels,train_labels_alphabet)
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# test = np.append(test, test_alphabet)
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# test_labels = np.append(test_labels, test_labels_alphabet)
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print('加载KNN,数据')
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knn = cv2.ml.KNearest_create()
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knn.train(train, cv2.ml.ROW_SAMPLE, train_labels)
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knn.train(train_alphabet, cv2.ml.ROW_SAMPLE, train_labels_alphabet)
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ret, result, neighbours, dist = knn.findNearest(
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test, k=5)# shape不一致
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#出错,knearest.cpp:325: error: (-215) test_samples.type() == CV_32F && test_samples.cols == samples.cols in function findNearest

‎ch46-机器学习-K近邻/预测手写数字1.py‎

Lines changed: 4 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -6,14 +6,17 @@
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"""
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预测手写数字1.py:
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验证码
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https://login.bthhotels.com/
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"""
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import numpy as np
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import cv2
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from matplotlib import pyplot as plt
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with np.load('knn_data_num.npz') as data:
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print(data.files)
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print(data.files)# ['train', 'train_labels', 'test', 'test_labels']
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train = data['train']
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train_labels = data['train_labels']
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test = data['test']
@@ -22,7 +25,6 @@
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print('加载KNN,数据')
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knn = cv2.ml.KNearest_create()
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knn.train(train, cv2.ml.ROW_SAMPLE, train_labels)
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ret, result, neighbours, dist = knn.findNearest(test, k=5)
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# 加载相片
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print('加载相片')

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