tf2-yolo3
Quick Start
This code depends on tensorflow-2.x, please install it first.
The easiest way is to use conda,
conda install tensorflow-gpu==2.0.0
This code also requires opencv-python, install it by pip or conda as the following
pip install opencv-python
pip install absl-py
pip install numpy
Training
To train on m2nist dataset, just run
python train.py
To train on your own dataset, just run
python train.py --batch_size 32 --dataset train.txt --val_dataset val.txt --epochs 100 --size 320,320 --learning_rate 1e-3
--size is the input of size in the format (height, width)
--dataset is your own dataset in yolo format, a text file of lines in the following format,
Row format: image_file_path box1 box2 ... boxN;
Box format: x_min,y_min,x_max,y_max,class_id (no space).
Here is an example
path/to/img1.jpg 50,100,150,200,0 30,50,200,120,3
path/to/img2.jpg 120,300,250,600,2
...
Use your model
To detect on single image,just run
python detect.py --image path_to_your_image.png --output path_to_your_output.png --size 320,320
Here is two example on m2nist dataset
If you have any question, please contact me directly,my email is [email protected]