Add P4D + GluonCV Demo03 File

Add P4D + GluonCV Demo03 File: Perform Image Classification.

Author: MuhammadAzizulHakim

Article38 - GluonCV/demo_GluonCV3_imageClassification.py

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+import matplotlib.pyplot as plt
+
+from mxnet import gluon, nd, image
+from mxnet.gluon.data.vision import transforms
+from gluoncv import utils
+from gluoncv.model_zoo import get_model
+
+# Download and show the example image
+url = 'https://raw.githubusercontent.com/dmlc/web-data/master/gluoncv/classification/plane-draw.jpeg'
+im_fname = utils.download(url)
+
+img = image.imread(im_fname)
+
+plt.imshow(img.asnumpy())
+plt.show()
+
+# Transform the image:
+transform_fn = transforms.Compose([
+    transforms.Resize(32),
+    transforms.CenterCrop(32),
+    transforms.ToTensor(),
+    transforms.Normalize([0.4914, 0.4822, 0.4465], [0.2023, 0.1994, 0.2010])
+])
+
+img = transform_fn(img)
+plt.imshow(nd.transpose(img, (1,2,0)).asnumpy())
+plt.show()
+
+# Load a pre-trained model
+net = get_model('cifar_resnet110_v1', classes=10, pretrained=True)
+
+# Finally, prepare the image and feed it to the model
+pred = net(img.expand_dims(axis=0))
+
+class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',
+               'dog', 'frog', 'horse', 'ship', 'truck']
+ind = nd.argmax(pred, axis=1).astype('int')
+print('The input picture is classified as [%s], with probability %.3f.'%
+      (class_names[ind.asscalar()], nd.softmax(pred)[0][ind].asscalar()))