图像中文描述 + 视觉注意力的 PyTorch 实现。 Show, Attend, and Tell是令人惊叹的工作,这里是作者的原始实现。 这个模型学会了“往哪瞅”:当模型逐词生成标题时,模型的目光在图像上移动以专注于跟下一个词最相关的部分。 依赖 Python 3.5 PyTorch 0.4 ...
当电脑有多个GPU时候,可以调用pytorch的torch.nn中DataParallel将model送入其中,就可以让GPU并行训练。 目前1.0版本的pytorch可以用更好的torch.nn.parallel.DistributedDataParallel中的多线程单GPU方法,具体可以参考pytorch官方文档 但是此框架在调用DataParallel时,训练几个batch后便会报错: RuntimeError: Gather got an i...
Pretrained ImageNet models available as part of PyTorch'storchvisionmodule.This pagedetails the preprocessing or transformation we need to perform – pixel values must be in the range [0,1] and we must then normalize the image by the mean and standard deviation of the ImageNet images' RGB cha...
⽤于图像分类, 将输⼊图像分为1000个类别 模型结构如下图所示: Tips: 因为VGG16 CNN 原本的⽬标是分类, 基于ImageNet数据集进⾏训练,训练所需的时间⽐较⼤,需要4个GPU训练3个星期左右。因此我们使用迁移学习(transfer learning),基本保留网络原有的结构和权重,只略微调整VGG16的⽹络输出结构为图像标...
cuda.is_available() else "cpu") # sets device for model and PyTorch tensors cudnn.benchmark = True # set to true only if inputs to model are fixed size; otherwise lot of computational overhead # Training parameters start_epoch = 0 epochs = 120 # number of epochs to train for...
This is aPyTorchTutorial to Image Captioning. This is the first ina series of tutorialsI'm writing aboutimplementingcool models on your own with the amazing PyTorch library. Basic knowledge of PyTorch, convolutional and recurrent neural networks is assumed. ...
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive) - ruotianluo/ImageCaptioning.pytorch
Self critical training from Self-critical Sequence Training for Image Captioning Bottom up feature from ref. Test time ensemble Multi-GPU training. (DistributedDataParallel is now supported with the help of pytorch-lightning, see ADVANCED.md for details) Transformer captioning model. A simple demo col...
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive) - ImageCaptioning.pytorch/captioning/models/TransformerModel.py at master · ruotianluo/ImageCaptioning.pytorch
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning - liyd/a-PyTorch-Tutorial-to-Image-Captioning