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View Code? Open in Web Editor NEWSingle Shot MultiBox Detector(SSD)目标检测算法
Single Shot MultiBox Detector(SSD)目标检测算法
Can I add new set of images to VOC dataset and how to add labels of those newly added images
下载VOC2007和PASCAL_VOC_SSD300_weight_checkpoint-epoch-16-loss-3.3392.hdf5文件,运行SSD.py,可以识别自行车、人物,图片上都能正确标注区域,但是所有带猫的图片没有标注。
我自己fork了你的项目,https://github.com/sunjl/keras_ssd,修改了SSD.py文件:
OUTPUT_DIR = './output'
MODEL_H5_NAME = 'weight.hdf5'
# MODEL_H5_NAME = 'PASCAL_VOC_SSD300_weight_checkpoint-epoch-16-loss-3.3392.hdf5'
model.save_weights(os.path.join(OUTPUT_DIR, MODEL_H5_NAME))
model.load_weights(os.path.join(OUTPUT_DIR, MODEL_H5_NAME))
自己训练模型,无法识别pics任一图片,怎么回事?
运行环境:Ubuntu 16.04,CUDA 8.0,Python 3.5,Keras 2.0.9,Tensorflow 1.3.0
GTX960显卡,4G显存不够用,所以把SSD.py文件中的batch改为1
Hi!
I am trying to understand SSD algorithm. Your implementation is the most understandable among all I've found. But still I have some questions and I hope you can help me with it.
The first question is: why do we need variances? As I understand, it is used to normalized coordinates. But why do we need normalization? For the better performance?
Also, what is the difference between location coordinates and priors coordinates?
SSD.ipynb not opening
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