Server for Computer Vision Metrics
This server evaluates the accuracy of the computer vision task on the COCO data set
predicted by the machine learning model.
| Route |
Method |
Query / Body |
Description |
| /meanAveragePrecision |
POST |
- |
Post a json file (written in COCO format) to get mean average precision. |
| /meanAveragePrecision_each |
POST |
- |
Post a list of annotations (written in COCO format) to get mean average precision on an image. |
| /pycocotoolsEvaluation |
POST |
- |
Post a json file (written in COCO format) to evaluate with pycocotools. |
| /bboxStatics |
POST |
- |
Post a json file (written in COCO format) to get statics of bbox. This info is useful to make anchors for object detection model like YOLO. |
Definition of annotations list for meanAveragePrecision_each-post API
{
image_id: int
annotation: [
{
iscrowd: int
image_id: int
bbox: list[float]
category_id: int
id: int
},,,
]
}
| Variable |
required |
Description |
| APP_PORT |
false |
The port to which the application listens to, default is set to 80 |
| PATH_ANNOTATION |
false |
A PATH for annotation file |
| PATH_IMAGE |
false |
A PATH for directory that test-images are stored. |
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