0:LoadFile
bytes
size334.8 KB
1:Decode
ImagePayload 1920×1080 BGR HWC
ImagePayload
shape(1080, 1920, 3)
spatial_shape(1080, 1920)
size(1920, 1080)
dtypeuint8
layoutHWC
color_spaceBGR
channels3
2:ImageToArray
ndarray 1920×1080 BGR
ndarray
shape(1080, 1920, 3)
dtypeuint8
3:Store⚙
ndarray 1920×1080 BGR
ndarray
shape(1080, 1920, 3)
dtypeuint8
4:RoboflowInference⚙
↑ previous
list ×1
[0] ObjectDetectionInferenceResponse
visualization
None
inference_id
None
frame_id
None
time
None
image: InferenceResponseImage
width
1920
height
1080
predictions: list ×12
[0] ObjectDetectionPrediction
x
1192.5
y
1016.0
width
101.0
height
128.0
confidence
0.8708171844482422
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
6caa199d-ab14-48d6-827c-d7cf20a76a4c
parent_id
None
[1] ObjectDetectionPrediction
x
1465.5
y
795.5
width
111.0
height
185.0
confidence
0.799755334854126
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
6d7f1f6b-f34d-4cc4-9499-344241123c72
parent_id
None
[2] ObjectDetectionPrediction
x
705.5
y
753.0
width
79.0
height
204.0
confidence
0.7624240517616272
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
43be98e7-bbdd-4128-bc35-4c324cb878cc
parent_id
None
[3] ObjectDetectionPrediction
x
787.5
y
538.5
width
73.0
height
173.0
confidence
0.6998701691627502
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
5e4b403a-3c07-41fa-ae7e-b7016a3e613a
parent_id
None
[4] ObjectDetectionPrediction
x
599.0
y
340.0
width
62.0
height
144.0
confidence
0.6854233145713806
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
c02044a6-577a-49ec-9758-5b595306001b
parent_id
None
[5] ObjectDetectionPrediction
x
1173.5
y
582.0
width
67.0
height
150.0
confidence
0.6822562217712402
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
a6715b35-1aea-4701-967c-53204660f4c8
parent_id
None
5:Select
↑ previous
ObjectDetectionInferenceResponse
visualization
None
inference_id
None
frame_id
None
time
None
image: InferenceResponseImage
width
1920
height
1080
predictions: list ×12
[0] ObjectDetectionPrediction
x
1192.5
y
1016.0
width
101.0
height
128.0
confidence
0.8708171844482422
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
6caa199d-ab14-48d6-827c-d7cf20a76a4c
parent_id
None
[1] ObjectDetectionPrediction
x
1465.5
y
795.5
width
111.0
height
185.0
confidence
0.799755334854126
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
6d7f1f6b-f34d-4cc4-9499-344241123c72
parent_id
None
[2] ObjectDetectionPrediction
x
705.5
y
753.0
width
79.0
height
204.0
confidence
0.7624240517616272
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
43be98e7-bbdd-4128-bc35-4c324cb878cc
parent_id
None
[3] ObjectDetectionPrediction
x
787.5
y
538.5
width
73.0
height
173.0
confidence
0.6998701691627502
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
5e4b403a-3c07-41fa-ae7e-b7016a3e613a
parent_id
None
[4] ObjectDetectionPrediction
x
599.0
y
340.0
width
62.0
height
144.0
confidence
0.6854233145713806
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
c02044a6-577a-49ec-9758-5b595306001b
parent_id
None
[5] ObjectDetectionPrediction
x
1173.5
y
582.0
width
67.0
height
150.0
confidence
0.6822562217712402
class_name
person
class_confidence
None
class_id
1
tracker_id
None
detection_id
a6715b35-1aea-4701-967c-53204660f4c8
parent_id
None
6:DetectionsFromInference⚙
↑ previous
Detections
xyxy: ndarray
ndarray
shape(12, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(12,)
dtypefloat64
class_id: ndarray
ndarray
shape(12,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(12,)
dtype<U8
metadata: dict
empty
7:DetectionsFilter⚙
↑ previous
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
metadata: dict
empty
8:DetectionsFilter⚙
↑ previous
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
metadata: dict
empty
9:DetectionsNMS⚙
↑ previous
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
metadata: dict
empty
10:DetectionsScaleBoxes⚙
↑ previous
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
metadata: dict
empty
11:Recall⚙
ndarray 1920×1080 BGR
ndarray
shape(1080, 1920, 3)
dtypeuint8
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
metadata: dict
empty
12:DetectionsClipBoxes⚙
ndarray 1920×1080 BGR
ndarray
shape(1080, 1920, 3)
dtypeuint8
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
metadata: dict
empty
13:DetectionsCrop⚙
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
metadata: dict
empty
ImagePayload ×11
14:Store⚙
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
metadata: dict
empty
ImagePayload ×11
15:Pick⚙
ImagePayload ×11
16:Scatter
Scatter
items11
concurrency1
steps2
total14408.0 ms
17:ConvertColorSpace⚙
ImagePayload 113×135 RGB HWC
ImagePayload
shape(135, 113, 3)
spatial_shape(135, 113)
size(113, 135)
dtypeuint8
layoutHWC
color_spaceRGB
channels3
18:LocalQwen3VL⚙
↑ previous
str
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag" ] } ```
19:Gather
↑ previous
list ×11
[0]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag" ] } ```
[1]
```json { "fashion_style": "casual", "activity": "standing", "accessories": [ "backpack", "phone" ] } ``…
[2]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag", "hat", "s…
[3]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack" ] } ```
[4]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "hat", "glasses", "should…
[5]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack", "shoulder_bag" …
20:ParseAttributes⚙
↑ previous
dict
fashion_style: list ×11
[0]
casual
[1]
casual
[2]
casual
[3]
casual
[4]
casual
[5]
casual
activity: list ×11
[0]
walking
[1]
standing
[2]
walking
[3]
walking
[4]
walking
[5]
walking
accessories: list ×11
[0] list[str] ×1
list ×1
[0]
shoulder_bag
[1] list[str] ×2
list ×2
[0]
backpack
[1]
phone
[2] list[str] ×3
list ×3
[0]
shoulder_bag
[1]
hat
[2]
shopping_bag
[3] list[str] ×1
list ×1
[0]
backpack
[4] list[str] ×3
list ×3
[0]
hat
[1]
glasses
[2]
shoulder_bag
[5] list[str] ×2
list ×2
[0]
backpack
[1]
shoulder_bag
response: list ×11
[0]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag" ] } ```
[1]
```json { "fashion_style": "casual", "activity": "standing", "accessories": [ "backpack", "phone" ] } ``…
[2]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag", "hat", "s…
[3]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack" ] } ```
[4]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "hat", "glasses", "should…
[5]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack", "shoulder_bag" …
21:Recall⚙
↑ previous
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
metadata: dict
empty
dict
fashion_style: list ×11
[0]
casual
[1]
casual
[2]
casual
[3]
casual
[4]
casual
[5]
casual
activity: list ×11
[0]
walking
[1]
standing
[2]
walking
[3]
walking
[4]
walking
[5]
walking
accessories: list ×11
[0] list[str] ×1
list ×1
[0]
shoulder_bag
[1] list[str] ×2
list ×2
[0]
backpack
[1]
phone
[2] list[str] ×3
list ×3
[0]
shoulder_bag
[1]
hat
[2]
shopping_bag
[3] list[str] ×1
list ×1
[0]
backpack
[4] list[str] ×3
list ×3
[0]
hat
[1]
glasses
[2]
shoulder_bag
[5] list[str] ×2
list ×2
[0]
backpack
[1]
shoulder_bag
response: list ×11
[0]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag" ] } ```
[1]
```json { "fashion_style": "casual", "activity": "standing", "accessories": [ "backpack", "phone" ] } ``…
[2]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag", "hat", "s…
[3]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack" ] } ```
[4]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "hat", "glasses", "should…
[5]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack", "shoulder_bag" …
22:DetectionsAttachData⚙
↑ previous
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
fashion_style: list ×11
[0]
casual
[1]
casual
[2]
casual
[3]
casual
[4]
casual
[5]
casual
activity: list ×11
[0]
walking
[1]
standing
[2]
walking
[3]
walking
[4]
walking
[5]
walking
accessories: list ×11
[0] list[str] ×1
list ×1
[0]
shoulder_bag
[1] list[str] ×2
list ×2
[0]
backpack
[1]
phone
[2] list[str] ×3
list ×3
[0]
shoulder_bag
[1]
hat
[2]
shopping_bag
[3] list[str] ×1
list ×1
[0]
backpack
[4] list[str] ×3
list ×3
[0]
hat
[1]
glasses
[2]
shoulder_bag
[5] list[str] ×2
list ×2
[0]
backpack
[1]
shoulder_bag
response: list ×11
[0]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag" ] } ```
[1]
```json { "fashion_style": "casual", "activity": "standing", "accessories": [ "backpack", "phone" ] } ``…
[2]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag", "hat", "s…
[3]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack" ] } ```
[4]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "hat", "glasses", "should…
[5]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack", "shoulder_bag" …
metadata: dict
empty
23:Recall⚙
ndarray 1920×1080 BGR
ndarray
shape(1080, 1920, 3)
dtypeuint8
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
fashion_style: list ×11
[0]
casual
[1]
casual
[2]
casual
[3]
casual
[4]
casual
[5]
casual
activity: list ×11
[0]
walking
[1]
standing
[2]
walking
[3]
walking
[4]
walking
[5]
walking
accessories: list ×11
[0] list[str] ×1
list ×1
[0]
shoulder_bag
[1] list[str] ×2
list ×2
[0]
backpack
[1]
phone
[2] list[str] ×3
list ×3
[0]
shoulder_bag
[1]
hat
[2]
shopping_bag
[3] list[str] ×1
list ×1
[0]
backpack
[4] list[str] ×3
list ×3
[0]
hat
[1]
glasses
[2]
shoulder_bag
[5] list[str] ×2
list ×2
[0]
backpack
[1]
shoulder_bag
response: list ×11
[0]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag" ] } ```
[1]
```json { "fashion_style": "casual", "activity": "standing", "accessories": [ "backpack", "phone" ] } ``…
[2]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag", "hat", "s…
[3]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack" ] } ```
[4]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "hat", "glasses", "should…
[5]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack", "shoulder_bag" …
metadata: dict
empty
24:BoxAnnotator⚙
ndarray 1920×1080 BGR
ndarray
shape(1080, 1920, 3)
dtypeuint8
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
fashion_style: list ×11
[0]
casual
[1]
casual
[2]
casual
[3]
casual
[4]
casual
[5]
casual
activity: list ×11
[0]
walking
[1]
standing
[2]
walking
[3]
walking
[4]
walking
[5]
walking
accessories: list ×11
[0] list[str] ×1
list ×1
[0]
shoulder_bag
[1] list[str] ×2
list ×2
[0]
backpack
[1]
phone
[2] list[str] ×3
list ×3
[0]
shoulder_bag
[1]
hat
[2]
shopping_bag
[3] list[str] ×1
list ×1
[0]
backpack
[4] list[str] ×3
list ×3
[0]
hat
[1]
glasses
[2]
shoulder_bag
[5] list[str] ×2
list ×2
[0]
backpack
[1]
shoulder_bag
response: list ×11
[0]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag" ] } ```
[1]
```json { "fashion_style": "casual", "activity": "standing", "accessories": [ "backpack", "phone" ] } ``…
[2]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag", "hat", "s…
[3]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack" ] } ```
[4]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "hat", "glasses", "should…
[5]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack", "shoulder_bag" …
metadata: dict
empty
25:LabelAnnotator⚙
ndarray 1920×1080 BGR
ndarray
shape(1080, 1920, 3)
dtypeuint8
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
fashion_style: list ×11
[0]
casual
[1]
casual
[2]
casual
[3]
casual
[4]
casual
[5]
casual
activity: list ×11
[0]
walking
[1]
standing
[2]
walking
[3]
walking
[4]
walking
[5]
walking
accessories: list ×11
[0] list[str] ×1
list ×1
[0]
shoulder_bag
[1] list[str] ×2
list ×2
[0]
backpack
[1]
phone
[2] list[str] ×3
list ×3
[0]
shoulder_bag
[1]
hat
[2]
shopping_bag
[3] list[str] ×1
list ×1
[0]
backpack
[4] list[str] ×3
list ×3
[0]
hat
[1]
glasses
[2]
shoulder_bag
[5] list[str] ×2
list ×2
[0]
backpack
[1]
shoulder_bag
response: list ×11
[0]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag" ] } ```
[1]
```json { "fashion_style": "casual", "activity": "standing", "accessories": [ "backpack", "phone" ] } ``…
[2]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag", "hat", "s…
[3]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack" ] } ```
[4]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "hat", "glasses", "should…
[5]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack", "shoulder_bag" …
metadata: dict
empty
26:PlotImage⚙
ndarray 1920×1080 BGR
ndarray
shape(1080, 1920, 3)
dtypeuint8
Detections
xyxy: ndarray
ndarray
shape(11, 4)
dtypefloat64
mask
None
confidence: ndarray
ndarray
shape(11,)
dtypefloat64
class_id: ndarray
ndarray
shape(11,)
dtypeint64
tracker_id
None
data: dict
class_name: ndarray
ndarray
shape(11,)
dtype<U8
fashion_style: list ×11
[0]
casual
[1]
casual
[2]
casual
[3]
casual
[4]
casual
[5]
casual
activity: list ×11
[0]
walking
[1]
standing
[2]
walking
[3]
walking
[4]
walking
[5]
walking
accessories: list ×11
[0] list[str] ×1
list ×1
[0]
shoulder_bag
[1] list[str] ×2
list ×2
[0]
backpack
[1]
phone
[2] list[str] ×3
list ×3
[0]
shoulder_bag
[1]
hat
[2]
shopping_bag
[3] list[str] ×1
list ×1
[0]
backpack
[4] list[str] ×3
list ×3
[0]
hat
[1]
glasses
[2]
shoulder_bag
[5] list[str] ×2
list ×2
[0]
backpack
[1]
shoulder_bag
response: list ×11
[0]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag" ] } ```
[1]
```json { "fashion_style": "casual", "activity": "standing", "accessories": [ "backpack", "phone" ] } ``…
[2]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "shoulder_bag", "hat", "s…
[3]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack" ] } ```
[4]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "hat", "glasses", "should…
[5]
```json { "fashion_style": "casual", "activity": "walking", "accessories": [ "backpack", "shoulder_bag" …
metadata: dict
empty