DW2TF

DW2TF，支持yolov4-tiny

DW2TF: Darknet to TensorFlow

This is a simple converter which converts:

• Darknet weights (.weights) to TensorFlow weights (.ckpt)
• Darknet model (.cfg) to TensorFlow graph (.pb, .meta)

Requirements

• Ubuntu
• Python 3.6 (known issues with Python 3.7)

Use it

For a full list of options:

python3 main.py -h

Provide optional argument --training to generate training graph (uses batch norm in training mode).

Object Detection Networks

yolov2

python3 main.py \
    --cfg 'data/yolov2.cfg' \
    --weights 'data/yolov2.weights' \
    --output 'data/' \
    --prefix 'yolov2/' \
    --gpu 0

yolov2-tiny

python3 main.py \
    --cfg 'data/yolov2-tiny.cfg' \
    --weights 'data/yolov2-tiny.weights' \
    --output 'data/' \
    --prefix 'yolov2-tiny/' \
    --gpu 0

yolov3

python3 main.py \
    --cfg 'data/yolov3.cfg' \
    --weights 'data/yolov3.weights' \
    --output 'data/' \
    --prefix 'yolov3/' \
    --gpu 0

yolov3-tiny

python3 main.py \
    --cfg 'data/yolov3-tiny.cfg' \
    --weights 'data/yolov3-tiny.weights' \
    --output 'data/' \
    --prefix 'yolov3-tiny/' \
    --gpu 0

Image Classification Networks

darknet19

python3 main.py \
    --cfg 'data/darknet19.cfg' \
    --weights 'data/darknet19.weights' \
    --output 'data/' \
    --prefix 'darknet19/' \
    --gpu 0

darknet19_448

python3 main.py \
    --cfg 'data/darknet19_448.cfg' \
    --weights 'data/darknet19_448.weights' \
    --output 'data/' \
    --prefix 'darknet19_448/' \
    --gpu 0

Todo

• More layer types

Thanks

• darkflow