This repository has been archived by the owner on Aug 3, 2023. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 1
/
vdp_protocol.yaml
277 lines (277 loc) Β· 7.75 KB
/
vdp_protocol.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
---
"$schema": http://json-schema.org/draft-07/schema#
"$id": https://github.com/instill-ai/vdp/blob/main/protocol/vdp_protocol.yaml
title: VDP Protocol
type: object
description: VDP Protocol structs
additionalProperties: true
anyOf:
- required:
- classification
- required:
- detection
- required:
- keypoint
- required:
- ocr
- required:
- instance_segmentation
- required:
- semantic_segmentation
- required:
- text_to_image
- required:
- text_generation
- required:
- unspecified
properties:
classification:
description: "Classify an image into pre-defined categories"
"$ref": "#/definitions/Classification"
detection:
description: "Detect and localise multiple objects"
"$ref": "#/definitions/Detection"
keypoint:
description: "Detect and localise keypoints of multiple objects"
"$ref": "#/definitions/Keypoint"
ocr:
description: "Detect, localise and recognise texts"
"$ref": "#/definitions/Ocr"
instance_segmentation:
description: "Detect, localise and delineate multiple objects"
"$ref": "#/definitions/InstanceSegmentation"
semantic_segmentation:
description: "Classify image pixels into predefined categories"
"$ref": "#/definitions/SemanticSegmentation"
text_to_image:
description: "Generates images from input text"
"$ref": "#/definitions/TextToImage"
text_generation:
description: "Generate new texts from input text"
"$ref": "#/definitions/TextGeneration"
unspecified:
description: "Unspecified task with output in the free form"
"$ref": "#/definitions/Unspecified"
definitions:
Classification:
type: object
additionalProperties: false
required:
- category
- score
properties:
category:
description: "The predicted category of the input"
type: string
score:
description: "The confidence score of the predicted category of the input"
type: number
Detection:
type: object
additionalProperties: false
required:
- objects
properties:
objects:
description: "A list of detected objects"
type: array
items:
type: object
required:
- bounding_box
- category
- score
properties:
bounding_box:
"$ref": "#/definitions/BoundingBox"
category:
description: "The predicted category of the bounding box"
type: string
score:
description: "The confidence score of the predicted category of the bounding box"
type: number
Keypoint:
type: object
additionalProperties: true
required:
- objects
properties:
objects:
description: "A list of keypoint objects, a keypoint object includes all the pre-defined keypoints of a detected object"
type: array
items:
type: object
required:
- keypoints
- score
properties:
keypoints:
description: "A keypoint group is composed of a list of pre-defined keypoints of a detected object"
type: array
items:
type: object
required:
- "x"
- "y"
- "v"
properties:
x:
description: "x coordinate of the keypoint"
type: number
y:
description: "y coordinate of the keypoint"
type: number
v:
description: "visibility score of the keypoint"
type: number
score:
description: "The confidence score of the predicted object"
type: number
Ocr:
type: object
additionalProperties: false
required:
- objects
properties:
objects:
description: "A list of detected bounding boxes"
type: array
items:
type: object
required:
- bounding_box
- text
- score
properties:
bounding_box:
"$ref": "#/definitions/BoundingBox"
text:
description: "Text string recognised per bounding box in the `bounding_boxes`"
type: string
score:
description: "The confidence score of the predicted object"
type: number
InstanceSegmentation:
type: object
additionalProperties: false
required:
- objects
properties:
objects:
description: "A list of detected instance bounding boxes"
type: array
items:
type: object
required:
- rle
- bounding_box
- category
- score
properties:
rle:
description: Run Length Encoding (RLE) of instance mask within the bounding box
type: string
bounding_box:
"$ref": "#/definitions/BoundingBox"
category:
description: "The predicted category of the bounding box"
type: string
score:
description: "The confidence score of the predicted instance object"
type: number
SemanticSegmentation:
type: object
additionalProperties: false
required:
- stuffs
properties:
stuffs:
description: "A list of RLE binary masks"
type: array
items:
type: object
required:
- rle
- category
properties:
rle:
description: Run Length Encoding (RLE) of each stuff mask within the image
type: string
category:
description: "Category text string corresponding to each stuff mask"
type: string
TextToImage:
type: object
additionalProperties: false
required:
- images
properties:
images:
description: "A list of generated images"
type: array
items:
description: "Generated image string in base64 format"
type: string
TextGeneration:
type: object
additionalProperties: false
required:
- text
properties:
text:
description: "Generated text string"
type: string
Unspecified:
type: object
additionalProperties: false
required:
- raw_outputs
properties:
raw_outputs:
description: "The raw output of the model"
type: array
items:
type: object
required:
- name
- data_type
- shape
- data
properties:
name:
description: "The corresponding output name of the model output data"
type: string
data_type:
description: "The type of the output data"
type: string
shape:
description: "The shape of the output data"
type: array
items:
type: integer
data:
description: "The output data"
type: array
items: {} # Allow any type
BoundingBox:
type: object
description: "The detected bounding box in (left, top, width, height) format"
additionalProperties: false
required:
- left
- top
- width
- height
properties:
left:
description: "Bounding box left x-axis value"
type: number
top:
description: "Bounding box top y-axis value"
type: number
width:
description: "Bounding box width value"
type: number
height:
description: "Bounding box height value"
type: number