testCase neural-network
This commit is contained in:
parent
1f68e0d82d
commit
0290293ca0
@ -131,43 +131,52 @@ def testing(n, testingSamples, testingLabels):
|
|||||||
|
|
||||||
testing(digitNetwork,dig_test_images,dig_test_labels)
|
testing(digitNetwork,dig_test_images,dig_test_labels)
|
||||||
|
|
||||||
|
|
||||||
|
li = []
|
||||||
|
ourOwnDataset = []
|
||||||
record_cache = None
|
record_cache = None
|
||||||
def testCase(inputWord):
|
def testCase(inputWord):
|
||||||
len = len(inputWord)
|
len = len(inputWord)
|
||||||
li = []
|
|
||||||
ourOwnDataset = []
|
|
||||||
word = ""
|
word = ""
|
||||||
|
for i in range(0,len-2):
|
||||||
imgArray = imageio.imread(imageFileName, as_gray=True)
|
imgArray = imageio.imread(imageFileName, as_gray=True)
|
||||||
for i in len-2:
|
|
||||||
imgData = 255 - imgArray.reshape(784)
|
imgData = 255 - imgArray.reshape(784)
|
||||||
imgData = (imgData/255 * 0.99) + 0.01
|
imgData = (imgData/255 * 0.99) + 0.01
|
||||||
word = word + recognizeLet(inputWord[i],imgData)
|
#inputWord[i]
|
||||||
word = word + recognizeNum[inputWord[-2]]
|
word = word + recognizeLet(letterNetwork ,imgData)
|
||||||
word = word + recognizeNum[inputWord[-1]]
|
word = word + recognizeNum(digitNetwork, inputWord[-2])
|
||||||
|
word = word + recognizeNum(digitNetwork ,inputWord[-1])
|
||||||
|
|
||||||
|
|
||||||
assert record_cache.shape == ourOwnDataset[0].shape
|
#assert record_cache.shape == ourOwnDataset[0].shape
|
||||||
labelInput = np.asfarray(li)
|
#labelInput = np.asfarray(li)
|
||||||
#print(labelInput)
|
#print(labelInput)
|
||||||
print('slowo: ', word)
|
print('slowo: ', word)
|
||||||
pass
|
pass
|
||||||
|
|
||||||
def recognizeLet(let,imgData):
|
|
||||||
|
|
||||||
|
def recognizeLet(n,imgData):
|
||||||
letters=['','a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']
|
letters=['','a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']
|
||||||
record = np.append(label,imgData)
|
#record = np.append(label,imgData)
|
||||||
|
outputs = n.query(imgData)
|
||||||
label = np.argmax(outputs)
|
label = np.argmax(outputs)
|
||||||
return letters[int(label)]
|
return letters[int(label)]
|
||||||
|
|
||||||
def recognizeNum():
|
def recognizeNum(n, imgData):
|
||||||
pass
|
pass
|
||||||
|
|
||||||
record = np.append(label,imgData)
|
#record = np.append(label,imgData)
|
||||||
|
outputs = n.query(imgData)
|
||||||
#print('Record: ',record)
|
#print('Record: ',record)
|
||||||
ourOwnDataset.append(record)
|
#ourOwnDataset.append(record)
|
||||||
if record_cache is None:
|
#if record_cache is None:
|
||||||
record_cache = record
|
# record_cache = record
|
||||||
#print(ood[0])
|
#print(ood[0])
|
||||||
li.append(label)
|
#li.append(label)
|
||||||
|
label = np.argmax(outputs)
|
||||||
|
return str(label)
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user