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Hello,
I am new to deep neural network. I have started using matconvnet. I am using vgg-f pre-trained network for extracting features. This architecture has 5 convolutional layer and followed by 3 fu…
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I am using VGG_VOC0712PLUS_SSD_300300_iter_240000.caffemodel of SSD300, but it cannot be loaded. This caffemodel is downloaded from SSD's git. The error when loading is: Error parsing text-format ditc…
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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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Hi, package developers,
I encountered an issue with the import robustness. dataset and I think the potential problem occurs in the vgg.py file under imagenet models.
potential changes from
…
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Hi,
I've trained the VGG-GRU network for around 700k artificially generated images, and i got 96% accuracy for test data (about 140k generated image), but when i test the trained the model on real-i…
ghost updated
5 years ago
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I am trying to extract features from an image using the ssd_vgg_300 code by outputing the weights multiplied by inputs. Can you let me know what part of the code I need to change to output features fr…
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Thank you for your work,!and may I ask if the following uses are included in your code
` self.blocks.load_state_dict(torch.load("/media/lidan/ssd/Chaminda/change_detection/VGG_finetune_AID/sa…
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(1) U-Net based model
* U-Net 2D / 3D / 2.5D
* **FusionNet** / Dense U-Net
* **V-Net**
(2) DeepLab 구조
* Pyramid Scene Parsing Net
* Atrous Pooling (?) -> 공부
(3) DeepLab v3
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# Description
tl;dr: The pre-trained SSD checkpoint has a huge loss while training on the **VOC2007 train + val** dataset and it doesn't seem to be anywhere near convergence.
I was trying to use…
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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