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The following are 30 code examples for showing how to use torch.masked_select().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
torch.masked_select¶ torch.masked_select (input, ,mask,, *, out=None) → Tensor¶ Returns a new 1-D tensor which indexes the input tensor according to the boolean ,mask mask, which is a BoolTensor.. The shapes of the ,mask, tensor and the input tensor don’t need to match, but they must be broadcastable.
25/6/2019, · In this post, we will discuss a bit of theory behind ,Mask, R-CNN and how to use the pre-trained ,Mask, R-CNN model in ,PyTorch,. This post is part of our series on ,PyTorch, for Beginners. 1. Semantic Segmentation, Object Detection, and Instance Segmentation. As part of this series we have learned about Semantic Segmentation: In […]
The current study used OpenCV, ,Pytorch, and CNN to detect whether people were wearing face ,masks, or not. The models were tested with images and real-time video streams. Even though the accuracy of the model is around 60%, the optimization of the model is a continuous process and we are building a highly accurate solution by tuning the hyperparameters.
22/5/2020, · source. We’re going to be using ,PyTorch, Lightning, which is a thin wrapper around ,PyTorch,.,PyTorch, Lightning structures your code efficiently in a single class containing everything we need to define and train a model, and you can overwrite any method provided to your needs, making it easy to scale up while avoiding spaghetti code.
source. We’re going to be using ,PyTorch, Lightning, which is a thin wrapper around ,PyTorch,.,PyTorch, Lightning structures your code efficiently in a single class containing everything we need to define and train a model, and you can overwrite any method provided to your needs, making it easy to scale up while avoiding spaghetti code.
Detectron2 - Object Detection with ,PyTorch,. by Gilbert Tanner on Nov 18, 2019 · 9 min read ... The above code imports detectron2, downloads an example image, creates a config, downloads the weights of a ,Mask, RCNN model and makes a prediction on the image. After making the prediction we can display the prediction using the following code: