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Develop #3

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Jul 16, 2020
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b7d3913
first commit
likholat Apr 15, 2020
71a269c
wrong result
likholat Apr 22, 2020
d3eb91c
right result but wrong label
likholat Apr 23, 2020
d970854
right result but wrong label
likholat Apr 23, 2020
2e42350
right result but wrong label
likholat Apr 23, 2020
a4749ab
wrong label
likholat Apr 23, 2020
3f7002b
probability in range [0,1]
likholat Apr 23, 2020
893efdc
fix comments
likholat Apr 24, 2020
8cd6cf3
fix comments
likholat Apr 24, 2020
c50d30d
fix comment
likholat Apr 24, 2020
4616dbe
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likholat Apr 24, 2020
2bfa5ef
fix commets
likholat Apr 27, 2020
a6ce0b1
fix comments
likholat Apr 27, 2020
503b73c
first commit
likholat Apr 28, 2020
549ab64
classify added
likholat Apr 29, 2020
47fc54d
rename file
likholat Apr 29, 2020
e7f8fb5
classification constructor added
likholat Apr 30, 2020
ac74cce
to save changes
likholat Apr 30, 2020
4c42ec0
fix comments
likholat Apr 30, 2020
c6f4e93
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likholat Apr 30, 2020
86ed664
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likholat May 15, 2020
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likholat May 20, 2020
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likholat May 21, 2020
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likholat May 22, 2020
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likholat Jun 1, 2020
8b69285
Merge pull request #1 from likholat/tensorflow_test
likholat Jun 1, 2020
1f5e845
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likholat Jun 22, 2020
63e2d30
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likholat Jun 22, 2020
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62bdc48
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likholat Jun 22, 2020
0879df1
first commit
likholat May 20, 2020
46f3d0b
fixed comments
likholat Jun 23, 2020
f517ae6
quantisation added
likholat Jun 24, 2020
ef9440d
fixed metric
likholat Jun 24, 2020
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likholat Jun 24, 2020
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estimated accuracy added
likholat Jun 25, 2020
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likholat Jun 25, 2020
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Merge pull request #2 from likholat/openvino_test
likholat Jul 16, 2020
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likholat committed Apr 27, 2020
commit 2bfa5ef6e2ed21600915cb4d9216b9b2b84d550b
4 changes: 2 additions & 2 deletions demo_classification_tf.py
Original file line number Diff line number Diff line change
Expand Up @@ -31,8 +31,8 @@ def main():
image_size_x = 299
image_size_y = 299

img = cv.resize(img, (image_size_x, image_size_y), interpolation = cv.INTER_LINEAR)
img = np.expand_dims(img, axis = 0)
img = cv.resize(img, (image_size_x, image_size_y))
img = np.expand_dims(img, axis=0)
img = (img - image_mean) / image_std
img = img.astype(np.float32)

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