TensorFlow2.0_SSD

A tensorflow_2.0 implementation of SSD (Single Shot MultiBox Detector) .

【训练的中间结果明显有问题，但是我找不到bug所在，如果你发现了bug，请开issue或者提PR，谢谢~】 (The intermediate results of the training are obviously problematic, but I can't find the bug.If you find a bug, please open an issue or raise a PR, thank you~)

Requirements:

• Python >= 3.8
• TensorFlow >= 2.5.0

Usage

Train on PASCAL VOC 2012

1. Download the PASCAL VOC 2012 dataset.
2. Unzip the file and place it in the 'dataset' folder, make sure the directory is like this :

|——dataset
    |——VOCdevkit
        |——VOC2012
            |——Annotations
            |——ImageSets
            |——JPEGImages
            |——SegmentationClass
            |——SegmentationObject

3. Run write_voc_to_txt.py to generate voc.txt.
4. Run train.py to start training, before that, you can change the value of the parameters in configuration.py.

Test on single picture

1. Change the test_picture_dir in configuration.py.
2. Run test.py to test on single picture.

References

• The paper: SSD: Single Shot MultiBox Detector
• https://github.com/amdegroot/ssd.pytorch