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v9.0

ultralytics/yolov3

版本发布时间: 2020-12-07 01:04:17

ultralytics/yolov3最新发布版本:v9.6.0(2021-11-15 05:26:56)

This release is a major update to the https://github.com/ultralytics/yolov3 repository that brings forward-compatibility with YOLOv5, and incorporates numerous bug fixes, feature additions and performance improvements from https://github.com/ultralytics/yolov5 to this repo.

Branch Notice

The ultralytics/yolov3 repository is now divided into two branches:

$ git clone https://github.com/ultralytics/yolov3  # master branch (default)
$ git clone -b archive https://github.com/ultralytics/yolov3  # archive branch

** GPU Speed measures end-to-end time per image averaged over 5000 COCO val2017 images using a V100 GPU with batch size 32, and includes image preprocessing, PyTorch FP16 inference, postprocessing and NMS. EfficientDet data from google/automl at batch size 8.

Pretrained Checkpoints

Model APval APtest AP50 SpeedGPU FPSGPU params FLOPS
YOLOv3 43.3 43.3 63.0 4.8ms 208 61.9M 156.4B
YOLOv3-SPP 44.3 44.3 64.6 4.9ms 204 63.0M 157.0B
YOLOv3-tiny 17.6 34.9 34.9 1.7ms 588 8.9M 13.3B

** APtest denotes COCO test-dev2017 server results, all other AP results denote val2017 accuracy.
** All AP numbers are for single-model single-scale without ensemble or TTA. Reproduce mAP by python test.py --data coco.yaml --img 640 --conf 0.001 --iou 0.65
** SpeedGPU averaged over 5000 COCO val2017 images using a GCP n1-standard-16 V100 instance, and includes image preprocessing, FP16 inference, postprocessing and NMS. NMS is 1-2ms/img. Reproduce speed by python test.py --data coco.yaml --img 640 --conf 0.25 --iou 0.45
** All checkpoints are trained to 300 epochs with default settings and hyperparameters (no autoaugmentation). ** Test Time Augmentation (TTA) runs at 3 image sizes. Reproduce TTA by python test.py --data coco.yaml --img 832 --iou 0.65 --augment

Requirements

Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

$ pip install -r requirements.txt

相关地址:原始地址 下载(tar) 下载(zip)

1、 yolov3-spp.pt 120.49MB

2、 yolov3-tiny.pt 16.94MB

3、 yolov3.pt 118.48MB

查看:2020-12-07发行的版本