From 32df66afceaeb8f558096c5676fd626cfe7358fd Mon Sep 17 00:00:00 2001 From: Navan Chauhan Date: Wed, 29 Jan 2020 11:14:30 +0530 Subject: Publish deploy 2020-01-29 11:14 --- .../index 2.html | 23 ++++++++++++++++++++++ .../index.html | 4 ++-- 2 files changed, 25 insertions(+), 2 deletions(-) create mode 100644 posts/2019-12-10-TensorFlow-Model-Prediction/index 2.html (limited to 'posts/2019-12-10-TensorFlow-Model-Prediction') diff --git a/posts/2019-12-10-TensorFlow-Model-Prediction/index 2.html b/posts/2019-12-10-TensorFlow-Model-Prediction/index 2.html new file mode 100644 index 0000000..3b71ea8 --- /dev/null +++ b/posts/2019-12-10-TensorFlow-Model-Prediction/index 2.html @@ -0,0 +1,23 @@ +Making Predictions using Image Classifier (TensorFlow) | Navan Chauhan
Navan Chauhan
🕑 1 minute read.

Making Predictions using Image Classifier (TensorFlow)

This was tested on TF 2.x and works as of 2019-12-10

If you want to understand how to make your own custom image classifier, please refer to my previous post.

If you followed my last post, then you created a model which took an image of dimensions 50x50 as an input.

First we import the following if we have not imported these before

import cv2
+import os
+

+
+

Then we read the file using OpenCV.

image=cv2.imread(imagePath)
+

+
+

The cv2. imread() function returns a NumPy array representing the image. Therefore, we need to convert it before we can use it.

image_from_array = Image.fromarray(image, 'RGB')
+

+
+

Then we resize the image

size_image = image_from_array.resize((50,50))
+

+
+

After this we create a batch consisting of only one image

p = np.expand_dims(size_image, 0)
+

+
+

We then convert this uint8 datatype to a float32 datatype

img = tf.cast(p, tf.float32)
+

+
+

Finally we make the prediction

print(['Infected','Uninfected'][np.argmax(model.predict(img))])
+

+
+

Infected

Tagged with:
\ No newline at end of file diff --git a/posts/2019-12-10-TensorFlow-Model-Prediction/index.html b/posts/2019-12-10-TensorFlow-Model-Prediction/index.html index 7b4d177..3b71ea8 100644 --- a/posts/2019-12-10-TensorFlow-Model-Prediction/index.html +++ b/posts/2019-12-10-TensorFlow-Model-Prediction/index.html @@ -1,4 +1,4 @@ -Making Predictions using Image Classifier (TensorFlow) | Navan Chauhan
Navan Chauhan
🕑 1 minute read.

Making Predictions using Image Classifier (TensorFlow)

This was tested on TF 2.x and works as of 2019-12-10

If you want to understand how to make your own custom image classifier, please refer to my previous post.

If you followed my last post, then you created a model which took an image of dimensions 50x50 as an input.

First we import the following if we have not imported these before

import cv2
+Making Predictions using Image Classifier (TensorFlow) | Navan Chauhan
Navan Chauhan
🕑 1 minute read.
Making Predictions using Image Classifier (TensorFlow)
This was tested on TF 2.x and works as of 2019-12-10
If you want to understand how to make your own custom image classifier, please refer to my previous post.
If you followed my last post, then you created a model which took an image of dimensions 50x50 as an input.
First we import the following if we have not imported these before
import cv2
 import os
 

 
@@ -20,4 +20,4 @@
 
Finally we make the prediction
print(['Infected','Uninfected'][np.argmax(model.predict(img))])
 

 
-
Infected
Tagged with: 

\ No newline at end of file
+

Infected

Tagged with:
\ No newline at end of file -- cgit v1.2.3