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I tried to run the demo_two_stream.py by downloading the vgg16.ckpt but not able to load the model.
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I am trainning with instance_norm and arch c9s1-16,d32,d64,R64,R64,R64,R64,R64,u32,u16,C9S1-3. In the train.lua, the default settings for style and content layers are
style_layers = {4, 9, 16,…
ghost updated
7 years ago
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Hi!
Thanks for your contribution! But when I run the command line you mentioned in readme file
"python attack.py --model_name vgg_16 --attack_method FIAPIM --layer_name vgg_16/conv3/conv3_3/Relu --e…
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你好,请问下,如下几个model是训练好的模型么
ImageNet mobilenet
07+12 RFB_Net300, BaiduYun Driver,FSSD300,SSD300
COCO RFB_Net512_E, BaiduYun Driver
COCO RFB_Mobile Net300, BaiduYun Driver
我下载了 第一个 …
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请问这个代码速度是不是有问题,我用vgg网络测试fps速度是27.7,关键是我的设备上yolov4才17fps。
0.03609814882278442 seconds, 27.702251572768194FPS, @batch_size 1
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## 🚀 Feature
VGG16 is a universal network and have been used as a backbone in FasterRCNN. Is there a VGG16-based model in Mask-RCNN?
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I annotated my own dataset using VGG annotator and exported the annotations as json.
When training, I am getting this error:
![image](https://user-images.githubusercontent.com/61691413/108746894-8e9…
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thank you very much for your work.
i have trained my own data and deployed the model (300x300) with visual studio 2013 on one GPU gtx 1070.
but the detection time was 35ms per image, the same with V…
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hi, I download the model m2det512_vgg.pth and test it. The mAP is 37.8%. However, the FPS is only 9.53 on Titan and 10.52 on V100, which is much lower than FPS=18 in the paper. Is there any trick?
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when I train from scratch except for the VGG model part, the loss is always around 1500 and not going any lower after one night training in one GPU. Is this the normal case, since usually the loss dro…