Update examples

examples.py

@@ -2,7 +2,7 @@ stage1_examples = [
     ["""A realistic photo of a wooden table with an apple on the left and a pear on the right."""],
     ["""A realistic photo of 4 TVs on a wall."""],
     ["""A realistic photo of a gray cat and an orange dog on the grass."""],
-    ["""In an indoor scene, a blue cube directly above a red cube with a vase on the left of them."""],
+    ["""In an empty indoor scene, a blue cube directly above a red cube with a vase on the left of them."""],
     ["""A realistic photo of a wooden table without bananas in an indoor scene"""],
     ["""A realistic photo of two cars on the road."""],
     ["""一个室内场景的水彩画，一个桌子上面放着一盘水果"""]
@@ -22,9 +22,9 @@ Background prompt: A realistic photo of a grassy area.""", "", 0],
     ["""Caption: 一个室内场景的水彩画，一个桌子上面放着一盘水果
 Objects: [('a table', [81, 242, 350, 210]), ('a plate of fruits', [151, 287, 210, 117])]
 Background prompt: A watercolor painting of an indoor scene""", "", 1],
-    ["""Caption: In an indoor scene, a blue cube directly above a red cube with a vase on the left of them.
+    ["""Caption: In an empty indoor scene, a blue cube directly above a red cube with a vase on the left of them.
 Objects: [('a blue cube', [232, 116, 76, 76]), ('a red cube', [232, 212, 76, 76]), ('a vase', [100, 198, 62, 144])]
-Background prompt: An indoor scene""", "", 2],
+Background prompt: An empty indoor scene""", "", 2],
     ["""Caption: A realistic photo of a wooden table without bananas in an indoor scene
 Objects: [('a wooden table', [75, 256, 365, 156])]
 Background prompt: A realistic photo of an indoor scene""", "", 3],

gradio_cached_examples/15/log.csv

@@ -30,7 +30,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: A realistic photo of a wooden table with an apple on the left and a pear on the right.
-Objects: ",,,2023-06-30 12:14:27.598309
+Objects: ",,,2023-06-30 13:19:29.374098
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -62,7 +62,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: A realistic photo of 4 TVs on a wall.
-Objects: ",,,2023-06-30 12:14:27.599507
+Objects: ",,,2023-06-30 13:19:29.374652
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -94,7 +94,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: A realistic photo of a gray cat and an orange dog on the grass.
-Objects: ",,,2023-06-30 12:14:27.600342
+Objects: ",,,2023-06-30 13:19:29.375175
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -125,8 +125,8 @@ Caption: 一个客厅场景的油画，墙上挂着电视，电视下面是一
 Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a flower vase', [166, 222, 92, 108])]
 Background prompt: An oil painting of a living room scene
 
-Caption: In an indoor scene, a blue cube directly above a red cube with a vase on the left of them.
-Objects: ",,,2023-06-30 12:14:27.601305
+Caption: In an empty indoor scene, a blue cube directly above a red cube with a vase on the left of them.
+Objects: ",,,2023-06-30 13:19:29.375606
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -158,7 +158,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: A realistic photo of a wooden table without bananas in an indoor scene
-Objects: ",,,2023-06-30 12:14:27.602166
+Objects: ",,,2023-06-30 13:19:29.376080
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -190,7 +190,7 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: A realistic photo of two cars on the road.
-Objects: ",,,2023-06-30 12:14:27.603224
+Objects: ",,,2023-06-30 13:19:29.376548
 "You are an intelligent bounding box generator. I will provide you with a caption for a photo, image, or painting. Your task is to generate the bounding boxes for the objects mentioned in the caption, along with a background prompt describing the scene. The images are of size 512x512, and the bounding boxes should not overlap or go beyond the image boundaries. Each bounding box should be in the format of (object name, [top-left x coordinate, top-left y coordinate, box width, box height]) and include exactly one object. Make the boxes larger if possible. Do not put objects that are already provided in the bounding boxes into the background prompt. If needed, you can make reasonable guesses. Generate the object descriptions and background prompts in English even if the caption might not be in English. Do not include non-existing or excluded objects in the background prompt. Please refer to the example below for the desired format.
 
 Caption: A realistic image of landscape scene depicting a green car parking on the left of a blue truck, with a red air balloon and a bird in the sky
@@ -222,4 +222,4 @@ Objects: [('a tv', [88, 85, 335, 203]), ('a cabinet', [57, 308, 404, 201]), ('a
 Background prompt: An oil painting of a living room scene
 
 Caption: 一个室内场景的水彩画，一个桌子上面放着一盘水果
-Objects: ",,,2023-06-30 12:14:27.604219
+Objects: ",,,2023-06-30 13:19:29.377133

gradio_cached_examples/40/Generated image/0c24901c-a0cf-4ea6-9f10-b3417754cc50/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/40/Generated image/0c24901c-a0cf-4ea6-9f10-b3417754cc50/374b093c60d42fc9bcb278b70ef39cc9941681df/image.png": null}

gradio_cached_examples/40/Generated image/14997528-ca58-4fec-b717-ec65409c8bbd/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/40/Generated image/14997528-ca58-4fec-b717-ec65409c8bbd/d3e4a16e890f2373ac2b45d18360e703431beae5/image.png": null}

gradio_cached_examples/40/Generated image/3531e4d1-afb7-447b-a761-c547125d0c26/captions.json

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-{"./gradio_cached_examples/40/Generated image/3531e4d1-afb7-447b-a761-c547125d0c26/719c7a23bab2446c3f728051347d9267b3e14e72/image.png": null}

gradio_cached_examples/40/Generated image/3b03d08a-ff57-4420-ba1b-a7360f61c380/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/40/Generated image/3b03d08a-ff57-4420-ba1b-a7360f61c380/5b116ccf1d561623101e54536261555c67fa2b7e/image.png": null}

gradio_cached_examples/40/Generated image/3f8624a6-6551-4497-99d4-38632e921cf0/captions.json

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-{"./gradio_cached_examples/40/Generated image/3f8624a6-6551-4497-99d4-38632e921cf0/49db08a01104a3fdcfb741cbcd2e67259c4e18bf/image.png": null}

gradio_cached_examples/40/Generated image/51d5fa53-4685-44c2-9ed7-c0503f4c4f94/captions.json

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-{"./gradio_cached_examples/40/Generated image/51d5fa53-4685-44c2-9ed7-c0503f4c4f94/a493be201c063a7ff9c692ab5a533817508de5a2/image.png": null}

gradio_cached_examples/40/Generated image/5415c3f5-3b81-45b4-872e-bb161f678a71/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/40/Generated image/5415c3f5-3b81-45b4-872e-bb161f678a71/8548706bbbf517ac1f28de2c546690cefec1b6ce/image.png": null}

gradio_cached_examples/40/Generated image/791ee03f-5cf6-4f3f-90ce-b77ebc1b0b12/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/40/Generated image/791ee03f-5cf6-4f3f-90ce-b77ebc1b0b12/05409fc32913f80ad0c7de8bc2dd7834c69dad9d/image.png": null}

gradio_cached_examples/40/Generated image/83d517ed-1673-4ace-b093-97874557d991/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/40/Generated image/83d517ed-1673-4ace-b093-97874557d991/e1d23039c864bdfc2b434c3e9e4a5c59f6c81329/image.png": null}

gradio_cached_examples/40/Generated image/901ff05d-4c99-4626-b357-7e8c09ed937e/captions.json

@@ -0,0 +1 @@
+{"./gradio_cached_examples/40/Generated image/901ff05d-4c99-4626-b357-7e8c09ed937e/ecc1f1eff18386224c5db9b0daea967efb75bea2/image.png": null}

gradio_cached_examples/40/Generated image/ab5b3afb-53af-47ac-bac1-f5854df20df7/captions.json

@@ -0,0 +1 @@
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gradio_cached_examples/40/Generated image/d4b3ae1d-15a1-467f-a859-cc3f05f8f347/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/40/Generated image/d4b3ae1d-15a1-467f-a859-cc3f05f8f347/7c1a61f5a1ae3dc7ce58dbf4ee5bc54a127f1d08/image.png": null}

gradio_cached_examples/40/Generated image/f03647bb-57a2-4c26-981c-322bc9dde84c/captions.json

@@ -0,0 +1 @@
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gradio_cached_examples/40/Generated image/f03bf09b-357e-4192-80ad-c9d617f1c653/captions.json

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gradio_cached_examples/40/log.csv

@@ -1,8 +1,8 @@
 Generated image,flag,username,timestamp
-./gradio_cached_examples/40/Generated image/83d517ed-1673-4ace-b093-97874557d991,,,2023-06-30 12:14:36.356724
-./gradio_cached_examples/40/Generated image/3531e4d1-afb7-447b-a761-c547125d0c26,,,2023-06-30 12:14:44.701128
-./gradio_cached_examples/40/Generated image/3f8624a6-6551-4497-99d4-38632e921cf0,,,2023-06-30 12:14:50.024803
-./gradio_cached_examples/40/Generated image/51d5fa53-4685-44c2-9ed7-c0503f4c4f94,,,2023-06-30 12:14:55.125816
-./gradio_cached_examples/40/Generated image/14997528-ca58-4fec-b717-ec65409c8bbd,,,2023-06-30 12:15:02.275191
-./gradio_cached_examples/40/Generated image/5415c3f5-3b81-45b4-872e-bb161f678a71,,,2023-06-30 12:15:06.084060
-./gradio_cached_examples/40/Generated image/d4b3ae1d-15a1-467f-a859-cc3f05f8f347,,,2023-06-30 12:15:11.215434
+./gradio_cached_examples/40/Generated image/3b03d08a-ff57-4420-ba1b-a7360f61c380,,,2023-06-30 13:19:37.913200
+./gradio_cached_examples/40/Generated image/f03bf09b-357e-4192-80ad-c9d617f1c653,,,2023-06-30 13:19:46.185336
+./gradio_cached_examples/40/Generated image/ab5b3afb-53af-47ac-bac1-f5854df20df7,,,2023-06-30 13:19:51.205429
+./gradio_cached_examples/40/Generated image/f03647bb-57a2-4c26-981c-322bc9dde84c,,,2023-06-30 13:19:56.428316
+./gradio_cached_examples/40/Generated image/901ff05d-4c99-4626-b357-7e8c09ed937e,,,2023-06-30 13:20:03.599590
+./gradio_cached_examples/40/Generated image/791ee03f-5cf6-4f3f-90ce-b77ebc1b0b12,,,2023-06-30 13:20:07.357083
+./gradio_cached_examples/40/Generated image/0c24901c-a0cf-4ea6-9f10-b3417754cc50,,,2023-06-30 13:20:12.534944

gradio_cached_examples/50/Generated image/13403501-675a-4f2b-adfd-559c37f8b3a6/captions.json

@@ -1 +0,0 @@
-{"./gradio_cached_examples/50/Generated image/13403501-675a-4f2b-adfd-559c37f8b3a6/6c67148627d83f9689b21a317d3ac2e73462b1a7/image.png": null}

gradio_cached_examples/50/Generated image/23be0303-31db-4faf-8cab-ffd9e034848f/captions.json

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-{"./gradio_cached_examples/50/Generated image/23be0303-31db-4faf-8cab-ffd9e034848f/9f6867ca16731325a99389b8278c38290e575156/image.png": null}

gradio_cached_examples/50/Generated image/34b88d8c-1d3d-4d8f-a52b-3af6f227e338/captions.json

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-{"./gradio_cached_examples/50/Generated image/34b88d8c-1d3d-4d8f-a52b-3af6f227e338/96767d1fd0b9a614f535673d3fa8e23a7b86bf87/image.png": null}

gradio_cached_examples/50/Generated image/43359458-a163-4927-9a9b-31b18f7aa23a/captions.json

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-{"./gradio_cached_examples/50/Generated image/43359458-a163-4927-9a9b-31b18f7aa23a/77bf6ad2785f48e7ff54ec86bf638b26aa8fefff/image.png": null}

gradio_cached_examples/50/Generated image/4f980ee7-29d3-43dd-9c22-f1b50f04acb6/captions.json

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gradio_cached_examples/50/Generated image/52fa0405-5bc6-4192-9e4a-ffacc85dbaf0/captions.json

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gradio_cached_examples/50/Generated image/56da175a-0889-4cec-b945-b3c248b090fe/captions.json

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-{"./gradio_cached_examples/50/Generated image/56da175a-0889-4cec-b945-b3c248b090fe/02d57cd7549332caddd4ea5833a4f4c527942fa2/image.png": null}

gradio_cached_examples/50/Generated image/6126d223-e793-410b-9162-a8f7b2040650/captions.json

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gradio_cached_examples/50/Generated image/66db2f87-b1f1-4621-9504-24ed2acc2447/captions.json

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gradio_cached_examples/50/Generated image/6a1465cb-e717-4c37-aec7-ce8d994871ad/captions.json

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