Jian
Jian
Hi @cqlyiyeshu I think that 16G is enough. you can try to use less scale in demo.py. especially for 2x.
IAM module is not a network structure, it is a combination between anchor design and gt face sampling. you can find IAM in data augmentation and anchor designing code.
you can try different combination of these configures
2GPUs, and each gpu has 8 images.
First shot PAL is not included in this inference code.
Besides standard SSD data augmentation, we still use anchor-based sampling strategy.
Hi @mathyyj imagenet resnet pretrained model. This pretrained model can be imported by torchvision.
can you tell me where can i download the resnet caffemodel for finetuning
原因是检测的结果为空,就是boxes是空的,需要添加一个判断