File size: 950 Bytes
053e0b7 76fd051 886c723 053e0b7 76fd051 af730c1 |
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 |
---
license: apache-2.0
tags:
- darknet
- yolo
pipeline_tag: object-detection
---
# yolo-lightnet
<!-- Provide a quick summary of what the model is/does. -->
This is an optimized YOLO model. It is optimized for running on NVDLA.
*NOTE: This is darknet format **NOT** Pytorch.*
## Model Details
<!-- Provide a longer summary of what this model is. -->
File name is formatted like `lightnet-{name}-{resolution}.weights`.
### driving
- target: car, bus, person, bike, truck, motor, train, rider, traffic_sign, traffic_light
- training data: BDD100K
### face
- target: face
- train data: wider face
### head_body
- target: head, body(include hidden area)
- train data: crowdhuman
### head_body-visible
- target: head, body(only visible area)
- train data: crowdhuman
## Uses
Cfg files:
https://github.com/yunkai1841/lightnet/tree/master/cfg
Running on:
https://github.com/daniel89710/lightNet-TRT
https://github.com/AlexeyAB/darknet
|