aws-samples / end-to-end-object-detection-detectron2-sagemaker
From nothing to a deployed object detection model on SageMaker with Detectron2
Summary
  |
|||
| Main Code: 581 LOC (7 files) = PY (91%) + YAML (8%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 11 LOC (2); Other: 1,489 LOC (9); |
|||
| File Size: 0% long (>1000 LOC), 61% short (<= 200 LOC) | |||
| Unit Size: 28% long (>100 LOC), 49% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 63% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (3 components) | ||
|
|
less than a month old
|
||
|
|
0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
||
| Goals: Keep the system simple and easy to change (4) | |||
|
Features of interest:
TODOs
2 files |
|||
Latest commit date: 2020-11-17
|
0
commits
(30 days)
0
contributors
(30 days) |
|