Orange: Image Grid - Revision history

Onnowpurbo at 01:59, 8 April 2020

2020-04-08T01:59:22Z

Onnowpurbo at 22:39, 6 April 2020

2020-04-06T22:39:52Z

Onnowpurbo at 22:39, 6 April 2020

2020-04-06T22:39:28Z

Onnowpurbo: /* Contoh */

2020-03-12T07:15:12Z

Contoh

Onnowpurbo at 05:29, 12 March 2020

2020-03-12T05:29:51Z

Onnowpurbo at 04:49, 29 January 2020

2020-01-29T04:49:07Z

Onnowpurbo at 02:19, 25 January 2020

2020-01-25T02:19:37Z

Onnowpurbo: Created page with "Sumber: https://orange.biolab.si/widget-catalog/image-analytics/imagegrid/ Displays images in a similarity grid. Inputs Embeddings: Image embeddings from Image Embeddi..."

2020-01-19T22:25:09Z

Created page with "Sumber: https://orange.biolab.si/widget-catalog/image-analytics/imagegrid/ Displays images in a similarity grid. Inputs Embeddings: Image embeddings from Image Embeddi..."

New page

Sumber: https://orange.biolab.si/widget-catalog/image-analytics/imagegrid/

Displays images in a similarity grid.

Inputs

Embeddings: Image embeddings from Image Embedding widget.
Data Subset: A subset of embeddings or images.

Outputs

Images: Images from the dataset with an additional column specifying if the image is selected or the group, if there are several.
Selected Images: Selected images with an additional column specifying the group.

The Image Grid widget can display images from a dataset in a similarity grid - images with similar content are placed closer to each other. It can be used for image comparison, while looking for similarities or discrepancies between selected data instances (e.g. bacterial growth or bitmap representations of handwriting).

Image Filename Attribute: Attribute containing paths to images.
Image cell fit: Resize scales the images to grid, while Crop crops them to squares.
Grid size: Set the size of the grid. Click Set size automatically to optimize the projection.
Tick the box to commit the changes automatically. Alternatively, click Apply.
Information on the input.
Access help, save image, and report (in that order).

Example

Image Grid can be used to visualize similarity of images in a 2D projection. We have used 5 images of fruits and vegetables, namely orange, banana, strawberry, broccoli and cauliflower.

We loaded the images with Import Images and embedded them with Inception v3 embedder in Image Embedding.

Finally, we visualized the images in Image Grid. It is obvious that broccoli and cauliflower and much more alike than strawberry and banana.

==Referensi==

* https://orange.biolab.si/widget-catalog/image-analytics/imagegrid/

==Pranala Menarik==

* [[Orange]]

@@ Line 27: / Line 27: @@
 ==Contoh==
-Widget Image Grid dapat digunakan untuk visualisasi image dalam projeksi 2D. Dalam contoh ini, kita menggunakan 5 image dari buah-buahan dan sayuran, yaitu, jeruk (orange), pisang (banana), strawberry, brokoli (broccoli) dan kol (cauliflower). Image di load menggunakan Widget Import Images dan meng-embed dengan Inception v3 embedder di widget Image Embedding. Akhirnya, kita mem-visualiasikan image di Widget Image Grid. Akan terlihat bahwa broccoli dan cauliflower akan lebih mirip ke strawberry daripada pisang (banana).
+Widget Image Grid dapat digunakan untuk visualisasi image dalam projeksi 2D. Dalam contoh ini, kita menggunakan 5 image dari buah-buahan dan sayuran, yaitu, jeruk (orange), pisang (banana), strawberry, brokoli (broccoli) dan kol (cauliflower). Image di load menggunakan Widget Import Images dan meng-embed dengan InceptionV3 embedder di widget Image Embedding. Akhirnya, kita mem-visualiasikan image di Widget Image Grid. Akan terlihat bahwa broccoli dan cauliflower akan lebih mirip ke strawberry daripada pisang (banana).
 [[File:ImageGrid-Example.png|center|600px|thumb]]

@@ Line 16: / Line 16: @@
 Widget Image Grid dapat menayangkan image dari sebuah dataset di similarity grid - image dengan content yang similar / mirip akan di letakan agar dekat satu sama lain. Widget Image Grid bisa digunakan untuk membandingkan image, sambil mencari akan kesamaan atau perbedaan antara instance data yang dipilih (misalnya, perkembangan bakteri atau representasi bitmap dari tulisan tangan).
-[[File:ImageGrid-stamped.png|center|200px|thumb]]
+[[File:ImageGrid-stamped.png|center|600px|thumb]]
 * Image Filename Attribute: Attribute containing paths to images.
@@ Line 29: / Line 29: @@
 Widget Image Grid dapat digunakan untuk visualisasi image dalam projeksi 2D. Dalam contoh ini, kita menggunakan 5 image dari buah-buahan dan sayuran, yaitu, jeruk (orange), pisang (banana), strawberry, brokoli (broccoli) dan kol (cauliflower). Image di load menggunakan Widget Import Images dan meng-embed dengan Inception v3 embedder di widget Image Embedding. Akhirnya, kita mem-visualiasikan image di Widget Image Grid. Akan terlihat bahwa broccoli dan cauliflower akan lebih mirip ke strawberry daripada pisang (banana).
-[[File:ImageGrid-Example.png|center|200px|thumb]]
+[[File:ImageGrid-Example.png|center|600px|thumb]]
 ==Referensi==

@@ Line 2: / Line 2: @@
-Menayangkan image yang sama / mirip dalam similarity grid.
+Widget Image Grid menayangkan image dimana yang sama / mirip ke dalam similarity grid.
 ==Input==
@@ Line 14: / Line 14: @@
   Selected Images: Selected images with an additional column specifying the group.
-Widget Image Grid dapat menayangkan image dari sebuah dataset di similarity grid - image dengan content yang similar / mirip akan di letakan agar dekat satu sama lain. Ini bisa digunakan untuk membandingkan image, sambil mencari akan kesamaan atau perbedaan antara instance data yang dipilih (misalnya, perkembangan bakteri atau representasi bitmap dari tulisan tangan).
+Widget Image Grid dapat menayangkan image dari sebuah dataset di similarity grid - image dengan content yang similar / mirip akan di letakan agar dekat satu sama lain. Widget Image Grid bisa digunakan untuk membandingkan image, sambil mencari akan kesamaan atau perbedaan antara instance data yang dipilih (misalnya, perkembangan bakteri atau representasi bitmap dari tulisan tangan).
 [[File:ImageGrid-stamped.png|center|200px|thumb]]
@@ Line 27: / Line 27: @@
 ==Contoh==
-Widget Image Grid dapat digunakan untuk visualisasi image dalam projeksi 2D. Kita menggunakan 5 image dari buah-buahan dan sayuran, yaitu, jeruk (orange), pisang (banana), strawberry, brokoli (broccoli) dan kol (cauliflower).
+Widget Image Grid dapat digunakan untuk visualisasi image dalam projeksi 2D. Dalam contoh ini, kita menggunakan 5 image dari buah-buahan dan sayuran, yaitu, jeruk (orange), pisang (banana), strawberry, brokoli (broccoli) dan kol (cauliflower). Image di load menggunakan Widget Import Images dan meng-embed dengan Inception v3 embedder di widget Image Embedding. Akhirnya, kita mem-visualiasikan image di Widget Image Grid. Akan terlihat bahwa broccoli dan cauliflower akan lebih mirip ke strawberry daripada pisang (banana).
 [[File:ImageGrid-Example.png|center|200px|thumb]]

@@ Line 27: / Line 27: @@
 ==Contoh==
-Widget Image Grid dapat digunakan untuk visualisasi image dalam projeksi 2D. Kita menggunakan 5 image dari buah-buahan dan sayuran, yaitu, jeruk (orange), pisang (banana), strawberry, broccoli and cauliflower.
+Widget Image Grid dapat digunakan untuk visualisasi image dalam projeksi 2D. Kita menggunakan 5 image dari buah-buahan dan sayuran, yaitu, jeruk (orange), pisang (banana), strawberry, brokoli (broccoli) dan kol (cauliflower).
-We loaded the images with Import Images and embedded them with Inception v3 embedder in Image Embedding.
+Kita me-load image dengan Widget Import Images dan meng-embed dengan Inception v3 embedder di Image Embedding.
-Finally, we visualized the images in Image Grid. It is obvious that broccoli and cauliflower and much more alike than strawberry and banana.
+Akhirnya, kita mem-visualiasikan image di Widget Image Grid. Akan terlihat bahwa broccoli dan cauliflower akan lebih mirip ke strawberry daripada pisang (banana).
 [[File:ImageGrid-Example.png|center|200px|thumb]]
 ==Referensi==

@@ Line 2: / Line 2: @@
-Displays images in a similarity grid.
+Menayangkan image yang sama / mirip dalam similarity grid.
 ==Input==
@@ Line 14: / Line 14: @@
   Selected Images: Selected images with an additional column specifying the group.
-The Image Grid widget can display images from a dataset in a similarity grid - images with similar content are placed closer to each other. It can be used for image comparison, while looking for similarities or discrepancies between selected data instances (e.g. bacterial growth or bitmap representations of handwriting).
+Widget Image Grid dapat menayangkan image dari sebuah dataset di similarity grid - image dengan content yang similar / mirip akan di letakan agar dekat satu sama lain. Ini bisa digunakan untuk membandingkan image, sambil mencari akan kesamaan atau perbedaan antara instance data yang dipilih (misalnya, perkembangan bakteri atau representasi bitmap dari tulisan tangan).
 [[File:ImageGrid-stamped.png|center|200px|thumb]]
@@ Line 27: / Line 27: @@
 ==Contoh==
-Image Grid can be used to visualize similarity of images in a 2D projection. We have used 5 images of fruits and vegetables, namely orange, banana, strawberry, broccoli and cauliflower.
+Widget Image Grid dapat digunakan untuk visualisasi image dalam projeksi 2D. Kita menggunakan 5 image dari buah-buahan dan sayuran, yaitu, jeruk (orange), pisang (banana), strawberry, broccoli and cauliflower.
 We loaded the images with Import Images and embedded them with Inception v3 embedder in Image Embedding.

@@ Line 4: / Line 4: @@
 Displays images in a similarity grid.
-Inputs
+==Input==
-    Embeddings: Image embeddings from Image Embedding widget.
+ Embeddings: Image embeddings from Image Embedding widget.
-    Data Subset: A subset of embeddings or images.
+ Data Subset: A subset of embeddings or images.
-Outputs
+==Output==
-    Images: Images from the dataset with an additional column specifying if the image is selected or the group, if there are several.
+ Images: Images from the dataset with an additional column specifying if the image is selected or the group, if there are several.
-    Selected Images: Selected images with an additional column specifying the group.
+ Selected Images: Selected images with an additional column specifying the group.
 The Image Grid widget can display images from a dataset in a similarity grid - images with similar content are placed closer to each other. It can be used for image comparison, while looking for similarities or discrepancies between selected data instances (e.g. bacterial growth or bitmap representations of handwriting).
@@ Line 18: / Line 18: @@
 [[File:ImageGrid-stamped.png|center|200px|thumb]]
-    Image Filename Attribute: Attribute containing paths to images.
+* Image Filename Attribute: Attribute containing paths to images.
-    Image cell fit: Resize scales the images to grid, while Crop crops them to squares.
+* Image cell fit: Resize scales the images to grid, while Crop crops them to squares.
-    Grid size: Set the size of the grid. Click Set size automatically to optimize the projection.
+* Grid size: Set the size of the grid. Click Set size automatically to optimize the projection.
-    Tick the box to commit the changes automatically. Alternatively, click Apply.
+* Tick the box to commit the changes automatically. Alternatively, click Apply.
-    Information on the input.
+* Information on the input.
-    Access help, save image, and report (in that order).
+* Access help, save image, and report (in that order).
 ==Contoh==