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| 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 | |
| - cfg file and label names are same as `head body` | |
| ## Uses | |
| Running on: | |
| https://github.com/daniel89710/lightNet-TRT | |
| https://github.com/AlexeyAB/darknet | |